Implementation of an Early Warning System Integrated with AIS-POLBENG Remote Base Station for the Safety of Traditional Ships in the Malacca Strait
Referring to the Indonesian Minister of Transportation Regulation No. PM 7 of 2019 and IMO regulations on the use of AIS devices, it is stated that AIS devices must be installed on passenger ships, cargo ships with a minimum size of 35GT, and fishing vessels of at least 60GT. However, smaller vessels under 60GT are also highly recommended to equip AIS devices to enhance maritime safety and security. This recommendation is based on several maritime accidents involving traditional fishing vessels, which often lack safety equipment such as navigation tools and AIS devices. Therefore, the role of AIS devices is crucial for the safety of fishermen at sea, especially in preventing ship collisions, illegal fishing, and supporting SAR (Search and Rescue) operations. The high cost of AIS equipment presents a challenge for small-scale fishermen to afford these devices. This research aims to develop a more affordable alternative AIS device based on Lora technology, which offers similar functionality to standard AIS devices. The developed Lora Transponder can also be integrated with the existing AIS-POLBENG system, thereby facilitating monitoring activities and providing early warnings of potential hazards during sailing activities to traditional fishing vessels equipped with the device. The system implementation results show that the Early Warning System operates as expected. The maximum coverage of AIS Transponder data transmission is 49.87 Nautical Miles (92.36 Km). On the other hand, 3 units of lora transponder devices have successfully sent sensor and location data to the gateway every 30 seconds with the device set at class C and recommended using binary format for more efficiency.
Implementation of Digital Image Processing to Determine The Body Dimensions of Nile Tilapia Fish
The present work aimed to use digital image processing techniques for identifying body dimensions of Nile Tilapia. The total number of exoskeleton measurements made on fish body dimension are high in aquaculture as it is used to predict the weight, feeding schedule, breeding and market value. Current fish measuring methods can be time-consuming and susceptible to human error. In this research, an automated and effective fish measurement system with digital image processing is proposed. It consists of taking images of the fish, segmenting the fish body from its background and finally using contour detection to measure a set of dimensions such as length, height and width. This analysis is applied on these dimensions to find the weight of specific fish. Overall, the results reveal that the image processing methodology may successfully reproduce manual measurements with a great degree of accuracy and hence can be a suitable tool for applications in aquaculture practice. This may greatly cut down on operations.
Automatic Door Lock Based on Knock Pattern and Face Detection
Residential burglaries are prevalent offenses, frequently occurring during the absence of homeowners. These offenses generally entail breaching doors or windows. An innovative home security system is important to resolve this issue. This research seeks to create an automated door locking mechanism utilizing knock patterns and facial recognition to improve residential security. The system incorporates a piezoelectric sensor for detecting knock patterns and an ESP32-Cam for facial recognition. The study methodology entails the development and evaluation of a system that integrates two primary components, guaranteeing that the door unlocks solely upon the recognition of both an accurate knock pattern and a registered facial image. The system's accuracy was assessed under varying lighting situations and distances to determine its efficacy. The results indicate that the face detection system operates effectively under optimal lighting settings, and the knock pattern system activates the door lock mechanism when the knock intervals correspond to the pre-registered pattern. Nonetheless, the system encounters difficulties in recognizing faces in low-light conditions. The door lock is secure, as it will only unlock when both the appropriate facial recognition and knock pattern criteria are satisfied, thus improving security relative to conventional locks. This dual-layer security strategy mitigates the dangers inherent in traditional systems, such as keys or PINs, which are susceptible to theft or circumvention. The proposed technology significantly enhances home security, presenting a more secure and user-friendly alternative to current options. Future enhancements may concentrate on augmenting the precision of facial detection in low-light environments and refining the system for wider practical applications.
The Urgency of Financial Literacy, Financial Attitude, and Lifestyle on Personal Financial Management of Kartu Indonesia Pintar Scholarship Recipients in the Era of Increasing Digital Fraud
Kartu Indonesia Pintar Kuliah (Indonesia Smart Card for College), is one of the government programs in the education sector. The purpose of KIP is to provide wider educational opportunities for prospective students from underprivileged families who have academic achievements across Indonesia. To achieve the nation's goals and aspirations, it is expected that KIP recipients can complete their studies on time and acquire competencies to improve their family's economic condition in the future. Therefore, KIP recipients must wisely manage their personal finances, especially in this era where digital crimes are rampant. Students should understand financial literacy, possess good financial attitudes, and maintain a simple lifestyle. The purpose of this research is to determine the effect of financial literacy, financial attitudes, and lifestyle on the personal financial management of KIP recipients. The respondents in this study are 100 KIP students from the Public Financial Accounting study program in semesters 3, 5, and 7. The data were analyzed using multiple linear regression with the statistical SPSS 25. The results of the t-test and F-test show that financial literacy and financial attitudes have a significant influence on the personal financial management of KIP recipients, while lifestyle has no significant influence on personal financial management. Simultaneously, financial literacy, financial attitudes, and lifestyle have a significant effect on the personal financial management of KIP recipients. The coefficient of determination test shows that financial literacy, financial attitudes, and lifestyle variables explain 43.7% of the personal financial management variable, while the remaining 56.3% is explained by other variables.
Application of Rhizobium Inoculum and Plant Population on Nodulation and Productivity of Edamame (Glycine max (L.) Merr.)
Root nodulation is a crucial process for legumes, including edamame (Glycine max (L.) Merr.), as it enables biological nitrogen fixation, enhancing nitrogen availability for plant growth. The implementation of Rhizobium inoculum has been demonstrated to reduce the necessity for synthetic fertilizers, thereby enhancing the health and yield of the plants in question. Furthermore, optimal plant population management ensures adequate access to light, water, and nutrients, maximizing productivity. The combination of Rhizobium inoculation and population management represents a crucial strategy for enhancing the productivity and sustainability of legume crops, such as edamame. This study examines the impact of Rhizobium inoculation and plant population management on the nodulation and productivity of edamame. The research was conducted using a randomized block design, with two factors: the application of Rhizobium (Bradyrhizobium japonicum) at two levels (without inoculation and with inoculation) and plant spacing (20 x 15 cm and 20 x 30 cm). Each treatment was replicated five times. The observed parameters included number of root nodulations, plant height, leaf area, leaf greenness, number of filled and empty pods, weight of filled and empty pods, wet weight, and 100 seed weight. The data were subjected to analysis of variance, followed by Duncan's Multiple Range Test. The findings indicated that Rhizobium inoculation markedly enhanced root nodulation, with the 20 x 15 cm spacing in conjunction with inoculation yielding the highest total nodulation, number and wight filled pods, wet weight, and 100 seed weight.
LoRaWAN-Based Fishing Zone Violation Monitoring System for Traditional Fishing Vessels in the Malacca Strait
The fisheries and marine sectors are among the potential sectors that Indonesia possesses. Fishermen, as the primary drivers of the maritime field, play an important role in the country's economy. As a sovereign nation, the government is expected to ensure and protect the safety of fishermen, particularly traditional fishermen who carry out fishing activities in Indonesian territorial waters. However, there are still many issues encountered in the field. One of them is the violation of fishing zones by traditional fishing vessels. With the numerous cases of fishing zone violations occurring, at least two main factors contribute to these violations: the lack of information regarding the permitted fishing zones that are still within Indonesia's territorial waters and the limited availability of navigation tools such as GPS and AIS, which many fishermen do not possess, preventing them from accurately knowing their position while fishing and whether they have exited the permitted zones. A fishing zone violation monitoring system is greatly needed to provide solutions to this problem. This study aims to design a monitoring system for fishing zone violations by traditional fishing vessels using LoraWAN technology as a communication device. The designed system will automatically provide early warnings from the Lora-Gateway to traditional fishermen who are fishing outside the designated zones through the Lora-Transponder device installed on the fishing vessels. The system will monitor every movement of vessels violating the fishing zone by utilizing the mapping data of Fishing Zone coordinates, stored in a real-time coordinate database. The monitoring system will also automatically send notifications as an early warning system if there are traditional fishing vessels that exit the legally established fishing zones by the government, referring to Indonesia's Exclusive Economic Zone (ZEE) of 200 nautical miles from the baseline coast. With this real-time monitoring system, it is expected to assist government agencies and stakeholders in monitoring the fishing activities of traditional fishing vessels, especially in the Malacca Strait region.
Importance-Performance Analysis (IPA) of the Service Quality Dimensions at Poli Tour & Travel
This research was conducted at Politour & Travel, headquartered in Bandar Lampung, Lampung Province. The purpose of this article is to discuss the assessment of tourism products offered by Politour & Travel as well as the level of service quality provided to tourists, based on their expectations and the reality observed in the field. The study was conducted on 17 respondents who were considered representatives of institutions that have previously used Politour & Travel tour packages. This study uses the Importance Performance Analysis (IPA) approach. The service quality at Politour & Travel is grouped into 5 attributes: Tangibles, Empathy, Responsiveness, Reliability, and Assurance. These 5 attributes are further divided into 23 aspects overall. Then, the average score for each service attribute is plotted on an IPA graph, which consists of four priority quadrants based on importance and performance levels. The main results indicate that the attributes show there are 5 aspects that should be prioritized for service improvement and 9 aspects that need to be maintained in terms of service quality, as they are deemed satisfactory by consumers who have used Politour & Travel services.
The Importance of Servicescape in The Digital Industry Era
Servicescape or service environment is a variable that defines the availability of tangibles where services are provided to consumers. In the service business, the physical condition of the place where the service is provided can influence consumer perception and satisfaction. Servicescape is one of the most critical aspects in adding value to customers because business players need to provide satisfaction and value to customers. The objects of this research activity are Ambient Condition, Spatial Layout, Functionality, Sign Symbol, and Artifact, with the unit of analysis being the consumers of Workas Coffee and Eatery. This research model is qualitative, and data collection is conducted using a questionnaire that includes open-ended questions. Data analysis was performed using Nvivo Version 12 to assist in coding the respondents' answers. The coding results indicate that 50% of respondents highlighted aspects of the servicescape of Workas Coffee and Eatery, such as limited parking area, insufficient indoor cooling, a lack of electrical outlets, and lighting issues.
Analysis of Internal Factors That Influence The Interest of Students In Choosing The Digital Business Study Program of Bengkalis State Polytechnic
This study examines the internal factors influencing students' interest in choosing the Digital Business study program at Politeknik Negeri Bengkalis. The research aims to identify which internal factors significantly impact students' decisions, determine the most dominant factors, and assess the factors with minimal influence. The study employed a survey method using questionnaires to collect data from students enrolled in the Digital Business program. Correlation and regression analyses, supported by statistical software, were used to analyze the data. The results reveal that Preference and Learning Method are the most influential internal factors, exerting the strongest impact on students' decision-making. Interest also plays a role, though less significant. Other factors, such as Attention, Willingness, Talent, Health, and Motivation, show minimal or no significant influence, with Attention and Willingness having negative coefficients. The regression model's confirms that the independent variables collectively influence students' interest, and the model indicates that 36.8% of the variance in interest is explained by the internal factors. Based on the findings, it is recommended that the Digital Business program align its curriculum and teaching methods with students' preferences and create a student-centered learning environment to better attract and retain students.
Effectiveness of Using Spent Bleaching Earth Stabilized Using Seashells on Concrete Compressive Strength
Bleaching Earth is a material used to refine palm oil to make it brighter in color as we currently consume. However, due to this, the accumulation of Bleaching Earth is increasingly uncontrolled and continues to accumulate. Previously, this research had been carried out but had not found a major impact on concrete durability. Especially in coastal areas which are often exposed to high chloride ions and have the potential to damage concrete. This research aims to create a material that can modify the properties of concrete to have better durability by modifying Spent Bleaching Earth using seashells. This research uses a cylinder measuring 150 x 300 mm with a various admixture. In this research, 3 (three) stabilization fraction models were tried, namely Fraction A with 60% SBE and 40% Seashells, fraction B with 50% SBE and 50% Seashells, and fraction C with 40% SBE and 60% Seashells. The research showed that fraction B showed compressive strength reaching 22,85 MPa and Fraction C showed compressive strength up to 29,44 MPa at 28 days. Meanwhile, Fraction A experienced a decrease in compressive strength, reaching only 20,64 MPa compared to normal concrete of 21,90 MPa at 28 days. This could be caused by many things, so further research is needed regarding the stabilization of these two materials. Based on the research, it can be concluded that Fraction C can be a recommendation because it has higher strength than other fractions and needs to be tested in aggressive environments, especially in coastal areas
Smart Access Control System Based On Uncontrolled Environment Human Face Recognition Using Convolutional Neural Network
Neural networks or other artificial intelligence methods have developed rapidly over the past four decades. Its use in various fields makes many people compete to develop it further. One of the applications of artificial intelligence is an automatic door opening and closing system. This development can provide many advantages for users, one of which is that there is no need to make direct contact with the door handle. Armed with a capable PC and an esp32 microcontroller, the system works by detecting images of user facial expressions approaching the object using a webcam. If the required input matches the system rules, the motor will move to open the door. By using convolutional neural network technique, the system can classify the image quickly. Several expressions such as angry, disgusted, scared, happy, sad, surprised, and normal can be the door-opening key of the system. The user can select one to use as the input key to drive the motor to open the door. The study outcomes for several predetermined facial expressions yielded an accuracy rate of 60% and a detection time of under 4 seconds. The detectable distance extends to ± 2 meters. Further study could enable the development of this autonomous door with an IoT-based system for enhanced efficiency. Hopefully, this research can influence the development of intelligent building systems and other fields of artificial intelligence technology.
Supplementation of Cinnamon Extract Cinnamomum burmani in Commercial Feed on The Performance of Digestibility and Growth of Pacific White Shrimp Litopenaeus vannamei
Pacific white shrimp Litopenaus vannamei is one of the fishery export commodities. The problem with vaname shrimp cultivation in Indonesia is the high price of feed. One natural and environmentally friendly ingredient that can increase feed efficiency and growth of vaname shrimp is Cinnamomum burmani. The active ingredient cinnamaldehyde content in cinnamon can increase the utilization of carbohydrates as an energy source. This research aims to obtain the best dose of cinnamon extract for digestibility, growth, and survival of vaname shrimp. The experimental design used a Completely Randomized Design (CRD) consisting of 5 cinnamon extract treatment doses (0 ml/kg, 1 ml/kg, 2 ml/kg, 3 ml/kg, and 4 ml/kg). The container used is an aquarium measuring 60 cm × 40 cm × 40 cm and filled with seawater. The size of the vaname shrimp used is ±2.5 g. The results showed that the performance parameters of digestibility, growth, and survival of shrimp fed with cinnamon extract showed significantly different results (p<0.05). The best dose of cinnamon extract was 3 ml/kg feed.
Evaluation of the Effect of Coconut Coir Fiber Addition on Polypropylene Matrix Composite Properties
Research has been conducted on coconut coir fiber composites with a polypropylene matrix. The aim of this study is to examine the effect of adding coconut coir fiber to the polypropylene matrix on the physical and mechanical properties of the composite. The method used is the hand lay-up method, which is carried out in the laboratory by initially preparing coconut coir fibers and polypropylene matrix, then mixing them and placing them into molds. Subsequently, hot pressing is performed at a pressure of 38 atm and a temperature of 150°C for 30 minutes. After being cooled to room temperature, the composite is tested according to testing standards. The results obtained are the density values of the coconut coir fiber (CCF) and polypropylene (PP) composites ranging from 0.543-0.7 g/cm3, water absorption capacity ranging from 0.5-16.45%, moisture content ranging from 0.14 – 0.22%, and thickness swelling value ranging from 0.76 - 15%. For mechanical properties, the MOR value ranges from 11.22 – 19.20 MPa and the MOE value ranges from 220 – 350 MPa.
Modification and Engineering of Portable Fish Aggregating Devices (Fads) With The Addition of Acoustic Sensors
The portable rumpon is a movable fish aggregating device that consists of a float and attractor, without any wood or permanent structures on it. This portable rumpon is commonly used in waters with moderate currents. It is usually equipped with sonar to determine the abundance of fish congregating in the area. Modifications to the shape of the portable rumpon and the engineering addition of acoustic sensors are expected to increase the catch of fish, allowing them to gather around it. The acoustic sensors used have a frequency range of 10,000-15,000 Hz, which is a sound wave favored by fish. The generated sound waves are anticipated to enhance the catch results, as indicated by the number of fish that gather around the rumpon. The operation of the portable rumpon can be conducted alongside fishing gear to achieve optimal results.
Unveiling The Impact of Illegal Online Loans on Cashless Lifestyles And Digital Marketing: A Case Study of Students At Bengkalis State Polytechnic's Language Department
This study explores the repercussions of illegal online loans on cashless lifestyles and digital marketing among students at the Language Department of Bengkalis State Polytechnic. The primary objective is to analyze how these unregulated financial activities influence students' financial behaviors and their interaction with digital marketing. Employing a mixed-methods research design, the study integrates quantitative surveys and qualitative interviews to capture a broad spectrum of impacts. The quantitative component involved administering structured questionnaires to 10 students, selected through stratified random sampling to ensure diverse representation across academic levels and disciplines. The qualitative aspect comprised semi-structured interviews with 10 students who had direct or indirect experiences with illegal loans, providing deeper insight into the personal and psychological effects of their financial decisions. The findings reveal a significant trend towards increased use of cashless payment methods among students entangled with illegal loans, primarily due to the ease of transaction it offers for loan disbursement and repayment. Moreover, there was a noticeable uptick in students' exposure to aggressive digital marketing campaigns, which often exploit their financial vulnerabilities. Despite these conveniences, the study also uncovered substantial adverse effects, including heightened financial stress and concerns over data privacy, with over 60% of respondents reporting increased anxiety and intrusive advertising. The research underscores the dual-edged nature of illegal online loans in shaping financial and digital engagement, highlighting the need for comprehensive regulatory frameworks and consumer education to protect vulnerable populations in the digital age
Technology Integration on English Language Learning: A Study of Students’ Engagement at Language Department State Polytechnic of Bengkalis
The aim of this study is to find out the Technology Integration and Student’s engagement on English Language Learning at Language Department State Polytechnic of Bengkalis. The Respondents of this research were Seven Lecturers and 30 students of Language Department State Polytechnic of Bengkalis. Observation and questionnaires were used as instruments to figure out the integration of technology and students’ engagement at Language Department. The finding revealed that integration of technology on English Language learning showed that the technology was adopted to support teaching and learning process more effective and efficient. Every course such as Writing, Listening, Speaking, Reading, Grammar and Translation had different approaches in using device and platform. In addition, integration of technology contributed positive engagement for students in cognitive, affective and behavioral aspects.
Implementation of Cyber-Link Marketing Model for MSME Partners of PT. Pertamina Hulu Rokan (PHR)
This study aims to determine how the implementation of the Cyber-Link marketing model in MSMEs assisted by PT Pertamina Hulu Rokan (PHR). The analysis in this study used a quantitative descriptive method with data collection techniques using questionnaires and interviews with MSME actors. The population of this study are MSMEs assisted by PT Pertamina Hulu Rokan who are members of the Riau Cyber Community of Regional Featured Products (KaRiCePU) with a total sample of 63 MSMEs. Data analysis was carried out in four stages, namely editing, coding, tabulation, and data analysis. The results explained that the implementation of the Cyber-Link model succeeded in increasing product visibility, expanding market reach, and creating better interactions with consumers. However, challenges in technology adoption, including limited digital knowledge and internet access, were significant barriers. Recommendations from this study include increasing digital training for MSME players and strengthening technology infrastructure to support the sustainability and growth of MSMEs in the digital era. This research is expected to provide insights for the development of more effective and innovative marketing strategies for MSMEs.
Development of Self-Access Training Materials for English Proficiency Test Preparation
Self-access learning materials are essential for English proficiency test preparation to enhance learners’ success in achieving desired language proficiency levels. This research explores the development of self-access training materials specifically designed for English proficiency test preparation. The research method used was Research and Development (R&D) with the ADDIE model, which includes analysis, design, development, implementation, and evaluation. Validations from experts in design, content, and language, alongside feedback from students and lecturers, confirmed that the developed training materials met established criteria for good quality training materials. The result of this research can later be employed as a resource material for learners and educators to support learners in achieving required English language proficiency.
Cost Structure and Profit Obtained in Instant Red Ginger Drink Business
Red ginger is one of the biopharmaceutical plants that became a favorite when the Covid19 pandemic broke out. Red ginger can be used as a base for drinks that can increase the body's immunity. Processing red ginger into instant ginger drink can provide more economic value to the red ginger commodity itself. With a higher economic value, it will be possible to increase the profits obtained, so that in the end it will increase farmers' interest in producing the red ginger commodity. In order to further increase profits from the instant red ginger drink business, it is necessary to look at the analysis of the cost structure and profits obtained as well as the efficiency of the business. The aims of this research are to analyze the cost structure and profit as well as the efficiency of the instant red ginger drink processing business. The research method used is the case study method. This research was carried out at the Zala Red Ginger UMKM in South Lampung Regency. The location was chosen deliberately with the consideration that the Zala Red Ginger UMKM is one of the red ginger agro-industry in South Lampung Regency. This research was carried out from April to September 2024. The results of this research are that the largest proportion in making instant red ginger drinks for UMKM Red Ginger is the raw material cost of red ginger, which is 66,99% and the second largest proportion is packaging costs, which is 13,40% of the total costs incurred. The profit obtained by the Zala Red Ginger UMKM instant ginger drink processing business was IDR 5,035,750.00. The R/C or efficiency of the Zala Red Ginger UMKM instant ginger drink processing business is 1.67
The Need Analysis of Learning English for Negotiation Skills for the International Business Administration Students of State Polytechnic of Bengkalis
This study explores the specific needs for learning English negotiation skills among International Business Administration students at the State Polytechnic of Bengkalis. A qualitative descriptive approach was employed, involving a sample of 60 students and 6 lecturers. To gather comprehensive insights, data were collected using questionnaires and interviews. The analysis focused on identifying gaps in students’ current English proficiency, the challenges they face during negotiations, and the effectiveness of the existing curriculum. Results indicated that students often struggle with business-specific vocabulary, fluency, and cultural understanding in negotiation contexts. Both students and lecturers highlighted the importance of integrating more practical and interactive learning methods, such as real-life case studies or project-based learning, role play into the curriculum. Additionally, the study suggests a greater emphasis on cultural training to enhance students' capabilities in international negotiations. These findings point to the need for curriculum adjustments to better equip students with the skills required for successful business negotiations in a global environment.
Modular Design for a Flexible IoT Monitoring and Control Application using Flutter
The Internet of Things (IoT) has emerged as a transformative technology that enables smart environments through extensive sensor networks and connected devices. However, the diversity and heterogeneity of IoT devices pose significant challenges in developing versatile applications capable of monitoring and controlling a broad spectrum of sensors and actuators. This paper proposes a novel modular design for a flexible IoT monitoring and control application using Flutter, a popular framework for developing cross-platform solutions. Our design leverages Flutter’s robust UI capabilities and its efficient communication with backend services to offer a scalable and customizable interface that can adapt to various IoT deployments, from domestic to industrial settings. The modular architecture allows users to specify and configure the application to dynamically include any combination of devices and functionalities, catering to specific needs without additional programming
The Phenomenon of Impulsive Buying Behavior on Ecommerce Twin Date Promotion
Bengkalis Island, based on its geographical circumstances, bordered by the Malacca Strait, Malaysia, from the East, North, and West, can only be accessed via sea routes which are ro-ro transportation and ferries for the access, moreover, its citizens face challenges, especially in shopping, due to limited access to various goods. In such circumstances, e-commerce platforms like Shopee become crucial. One of its marketing strategies was a Twin Date Festival which can stimulate impulsive purchasing tendencies. Hence, this investigation seeks to find a potential association between Shopee's Twin Date Festival and Impulsive Buying Behaviour, specifically among the Bengkalis Island Citizens. This study employs quantitative analysis techniques, utilizing the SPSS version 29 software for computations. The methodology encompasses the distribution of questionnaires alongside observational and documentary methods. A sample of 150 respondents received the questionnaires. Findings indicate a significant correlation between Shopee's Twin Date Festival and Impulsive Buying behaviors among Island Communities in the Bengkalis District, supported by a significance value of 0.001 <0.05 and a Pearson correlation coefficient of 0.554, indicating a moderate relationship strength between the two variables. The positive correlation suggests that increased occurrences of Shopee's Twin Date Festival are associated with heightened impulsive buying tendencies among Island Citizens in the Bengkalis District.
Systematic Review of Machine Learning-Based DDoS Detection in SDN Networks: A PRISMA Approach
This systematic literature review aims to detect the detection of Distributed Denial of Service (DDoS) attacks in Software-Defined Networking (SDN) environments using machine learning techniques. The PRISMA approach was used to ensure a comprehensive and transparent review process. The underlying architecture of SDN is highly vulnerable to DDoS attacks and thus requires efficient detection mechanisms. This review covers the application of various machine learning algorithms, such as Random Forest, Support Vector Machine (SVM), and Neural Networks, and their effectiveness in identifying anomalous traffic. Data from Scopus-indexed journals between 2016 and 2024 is used to provide a comprehensive picture of recent advances in this field. The research found that machine learning algorithms were able to increase the level of accuracy in DDoS detection, but also identified significant challenges such as the limitations of high-quality datasets that reflect real network traffic and the need for real-time detection at large network scales. In addition, the computational complexity of deep learning models and resource efficiency in practical applications are also challenges that need to be resolved. The results of these observations lead to recommendations for developing more efficient algorithms, optimizing the use of computing resources, and improving dataset quality to support more accurate and faster DDoS detection in SDN environments.
Analysis of Road Damage Management Using the Bina Marga Method on the Access Road of Politeknik Negeri Lampung
Access roads at Politeknik Negeri Lampung (Polinela) support mobility for students, lecturers, and staff. The quality of these roads, particularly the level of damage, is a serious concern as it disrupts accessibility for students and staff. Additionally, this condition hinders academic activities and the overall operations of the campus. Adequate and appropriate repair efforts are necessary to ensure comfort and safety within the campus environment, thereby better supporting academic activities.The Bina Marga Method is an approach used to assess the level of road damage. The assessment is conducted using specific established criteria, such as road classification and the severity of damage. The data collected is then analyzed to determine the priority order for repairs and maintenance plans. The access road to Polinela Campus is 1,616.4 meters long and has an average daily traffic volume of 1,011.5 passenger car units per hour, classifying it into traffic class 4. Based on the results of the analysis, the condition rating of the Polinela Campus road is 6, indicating that the priority order for road management is 7. Under these conditions, routine maintenance is required. The routine maintenance needed in this case includes patching holes and resurfacing the pavement.
Optimizing Compost Quality: Decomposition Of Rice Straw Agro-Waste Through Various Biological Agent Supplementations
ntensive agricultural activities in rice cultivation impact increasing waste, especially straw. Unfortunately, straw contains cellulose and lignin, which are difficult to decompose. This study examines the effect of adding biological agents on compost quality from rice straw waste. The study used a Randomized Block Design (RBD) with four treatments and six replications, including T0: control (without biological agents), T1: POF catalyst, T2: Bacillus sp., T3: Trichoderma sp. Observation variables for compost quality include analysis of temperature changes, pH value, water content, and chemical analysis, including the content of total macronutrients nitrogen, phosphorus, and potassium. Quantitative data were analyzed statistically using ANOVA and the LSD test p <0.05. The findings indicated that incorporating biological agents in rice straw composting markedly enhanced the quality of the resulting compost. Utilizing biological agents, particularly the Trichoderma treatment, led to a notable enhancement in compost quality. The macronutrient content of nitrogen (N) increased by 3.60%, phosphorus (P) by 0.49%, and potassium (K) by 1.67%. This increase could have significant implications for the composting process. Additionally, an increase in temperature, reaching 50-60°C, significantly impacts the composting process, collectively affecting microorganisms and facilitating the decomposition of organic matter. Furthermore, the thermophilic phase in Trichoderma treatment accelerates decomposition, thus offering a potential solution for faster composting
User Experience of Cognitive Digital Games Among Elderly People to Prevent Dementia
A few ponders have appeared that cognitive and physical work out can offer assistance diminish the hazard and indications of alzheimer's and dementia. The utilize cognitive technology can be an successful to anticipate or moderate the movement of alzheimer's and dementia. Creator past inquire about have created a crosswords memory diversion application with manufactured insights highlights as a refresher as one of the reviving media for cognitive treatment for the elderly . Research was conducted to test the user experience among users, namely the pre-elderly and elderly community. The research was conducted on 30 elderly people at the elderly posyandu. UX encompasses all user experiences and interactions with a product, service, or brand. It includes the user's feelings, emotions, and context when interacting. In this case, what is evaluated is the ease of navigation in playing games, whether this game is interesting and fun and whether there are less pleasant experiences. The result is for the convenience of navigation has a UX score of 68.42% out of a maximum of 100%, while the assessment for the fun experience of playing this game is 76.8%. The less pleasant experience is if there is a process of installing the game on a mobile device because it is quite troublesome so it needs a mentoring process. And the font size greatly affects the comfort of using the application, where the larger the font size, the better.
Classification of Oil Palm Trees Using Quantum Convolutional Neural Network (QCNN)
The oil palm trees (Elaeis guineensis) is an important commodity in the plantation industry, and the classification of its varieties is crucial for enhancing productivity and harvesting efficiency. This study aims to apply Quantum Convolutional Neural Network (QCNN) as a method for classifying oil palm trees. QCNN integrates quantum computing principles into the architecture of convolutional neural networks, allowing for more efficient and accurate data processing. The data used in this research includes oil palm plantations located in the coastal areas of Bengkalis Island. Data acquisition was performed using a DJI Phantom 4 Pro drone, capturing vertical images from above. The classification process utilized key features extracted from the images using the QCNN algorithm. The results of the experiments show that QCNN achieved a training accuracy of 94.7% and a testing accuracy of 92.5%. Thus, this research makes a significant contribution to the development of oil palm tree classification technology and opens new opportunities for the application of quantum algorithms in agriculture. These findings are expected to assist farmers and researchers in identifying and managing oil palm tree varieties more effectively, thereby supporting the sustainability and productivity of the oil palm industry as a whole.
Revealing The Meaning Of Cultural Accounting In The Safar Bath Ritual Ceremony In Bengkalis Regency
The purpose of this study is to find out the financing of safar bathing cultural rituals, the disclosure of cultural accounting and safar bathing traditional ceremonies as local economic and cultural values. This research is a descriptive research. Data collection techniques use interviews, documentation and observation. The data analysis technique is with quantitative descriptive analysis techniques. The results of the study show that in financing the safar bathing cultural ritual as a whole, the financing comes from the Regional Expenditure Revenue Budget (APBD) of Bengkalis Regency. In the range of 2021 – 2023, the budget for protection, development, material utilization, and cultural promotion activities, in this case specifically for the safar bathing cultural ritual in 2021, is budgeted at IDR 159,184,000 with a realization of 92.20%, in 2022 with a realization of IDR 233,230,000 with a percentage of 94.80% while in 2023 it will increase by IDR 260,723,000 with a percentage of 90.67%. Cultural accounting refers to how cultural values influence accounting practices, including the measurement, reporting, and disclosure of financial information. Then the community can feel the economic value of preserving the traditions, customs, and original values of the safar bath ritual. This cultural preservation not only preserves cultural heritage, but can also bring economic benefits both directly and indirectly. The direct benefits are mainly related to the financial aspects felt by the area manager on Teluk Rhu Beach and the people of North Rupat village as economic and cultural actors.
Analysis of Service Quality at the Truntum Padang Hotel
This research aims to analyze the quality of service at the Truntum Padang Hotel, based on room occupancy data from November 2022 to February 2023. The room occupancy rate at the Truntum Padang Hotel has decreased, even in January it did not reach 50%. From February to April 2023, the Truntum Padang Hotel's room occupancy rate is unstable and still has not reached 90% according to management's target. Even though the Truntum Padang Hotel is the only hotel managed by a State-Owned Enterprise (BUMN) in Padang City. The main objective analysis in this research is to look at the quality of service at the Truntum Padang Hotel. This type of research is a quantitative descriptive research type of data source used for both primary and secondary data. Purposive sampling was used as a sampling technique in this research, with a total sample of 100 respondents. Based on the results of a questionnaire using a Likert scale, it shows that the analysis of service quality at the Truntum Padang Hotel, seen from service quality indicators, has a percentage of 52%, namely at the interval limit of 3, 26-4.00 in the satisfied category.
User Resistance: Reasons MSME Actors Are Hesitant to Prepare Financial Reports in Siak Regency
The study aims to investigate the impact of perceived value, switching cost, switching benefits, and self-efficacy for change on user resistance in preparing financial reports in MSMEs. The hypothesis was tested empirically with a sample of 63 MSME actors from Siak Regency, Riau Province. This study uses structural equation modeling with WarpPLS 7.0 as a test tool. The study's findings suggest that MSME actors may be resistant to preparing financial statements because they are worried about the expenses they will spend and forfeit if they do so. They believe that if they adopt new procedures and guidelines, all their earlier work will have been in useless. Furthermore, the study's findings demonstrate that while MSME actors exhibit strong self-confidence in adapting to change when it is viewed to have a good effect, resistance will persist if the costs and sacrifices associated with adjusting to new circumstances are as substantial. This study contributes by providing empirical data on the elements that lead to user resistance when creating financial reports. Practically, this study shows that it is important for the government and policymakers to pay attention to the factors that cause MSMEs to refuse to prepare financial reports so that these factors can be mitigated, and the objectives of financial reporting can be achieved.
Marshall Immersion Performance of Asphalt ConcreteBinder Course with Silica Sand as Fine Aggregate Substitute
The Asphalt Concrete Binder Course (AC-BC) layer is part of the pavement structure that serves as an intermediate layer to withstand the maximum load from traffic. Damage to the pavement layer, which often occurs on the surface, can be influenced by layers with large pores and voids due to inadequate compaction during construction. In large voids, water can enter the pavement structure through cracks and gaps, forming potholes. Water trapped within the pavement structure can accelerate road deterioration, reducing the pavement layer’s ability to support traffic loads. The purpose of using silica waste in this study is to assess the Marshall Immersion performance (water resistance) of the AC- BC mixture with silica sand. Variations of the AC-BC mixture using silica sands as a fine aggregate substitute include SI- 0%, SI-25%, SI-50%, SI-75%, and SI-100%. The Marshall Immersion test was conducted by continuously immersing the samples in water for 0.5 hours, 24 hours, and 48 hours. To assess the Marshall Immersion performance of the AC-BC asphalt mixture, two indicators were used: the Index of Retained Stability (IRS) and the Index of First Durability (IDF). From the study, the IRS values obtained were as follows: SI-0%; 92.53%, SI-25%; 92.42%, SI-50%; 91.56%, SI-75%; 91.21%, and SI-100%; 90.78%. These results overall indicate that with silica sand substitution, the IRS values decrease but still meet the minimum requirement of 90%. The IDF values (r%) were positive (+). This positive value indicates that some mixture variations experienced different degrees of strength loss.
Implementation of Recycling System in Graphic Industry to Reduce Environmental Pollution
he increase in production and consumption in the graphic industry has had a negative impact on the environment, especially related to the waste produced. Solid, liquid, and gas waste produced by this industry, including waste paper, chemicals, and emissions from the printing process, contribute to air, land, and water pollution. This study aims to analyze the implementation of an effective recycling system in the graphic industry as an effort to reduce environmental pollution. The research method used is a case study in several graphic companies that have adopted a recycling system, focusing on the paper recycling process, the use of environmentally friendly inks, and chemical waste management. Data were collected through interviews, field observations, and document analysis related to company policies and environmental audit results. The results of the study show that the implementation of an integrated recycling system can reduce waste volume by up to 60%, increase the efficiency of raw material use by up to 30%, and significantly reduce carbon emissions from the production process. In addition, companies that implement a recycling system also get additional benefits in the form of savings in production costs and an improved environmentally friendly image in the eyes of consumers. This study concludes that the implementation of a holistic recycling system in the graphic industry is a strategic step to reduce negative impacts on the environment and encourage more sustainable business practices.
Strategy To Improve The Competitiveness Of The Dried Fish Processing Industry In Bandar Lampung City
This study aims to create a strategy model to improve the competitiveness of the dried fish processing industry in Bandar Lampung city. This study is a survey study with a population of dried fish processors in Teluk Betung Barat District. Primary data and secondary data are used in this study, then the data is analyzed quantitatively and qualitatively, SWOT analysis. The strategy formed is growth seen from the IE matrix value in quadrant 5 with a score value of IFE (2.64) and EFE (2.86), the right alternative strategy through marketing development is digital marketing to support fishermen's income, in addition there needs to be an alternative cage business as an anticipation of the availability of uncertain raw materials
Evaluation of BUMDesa Performance on Village Economy in Bengkalis Regency
This research aims to evaluate the performance of Village-Owned Enterprises (BUMDesa) on the village economy in Bengkalis Regency. The focus of this research was conducted on two independent BUMDesa, namely BUMDesa in Kuala Alam Village and Jangkang Village. The research approach used was descriptive qualitative method, where data was collected through in-depth interviews, field observations, and document studies. The analysis in this study aims to describe how BUMDesa contribute to improving the village economy through job creation, increasing community income, as well as local business development. The results show that BUMDesa in both villages studied have a good impact in driving the village economy. In Kuala Alam Village, BUMDesa Kuala Alam plays an active role in the trade, seafood and plantation sectors, which directly increases the income of the local community. While in Jangkang Village, BUMDesa Sejahtera focuses on the trade and drinking water processing sectors, which also contributes well to the village economy. However, this research also found several obstacles faced by BUMDesa, particularly in terms of business management, human resource management. From these findings, it is recommended to increase managerial training for BUMDesa administrators, human resource capacity building, and increase synergy between BUMDesa and local government to improve the effectiveness and sustainability of BUMDesa programs in supporting village economic development.
UI/UX Design of a QR Code and Geolocation-Based Attendance System Using Design Thinking and Prototyping Methods
Student attendance is an important element in ensuring proper presence and participation in the academic environment. However, in the Information Technology Department of Padang State Polytechnic, the attendance process is still conducted manually, which leads to various issues such as the potential for cheating, inaccuracies in recordkeeping, and paper waste. This research aims to address the issue by designing and developing a QR code and geolocation-based attendance system using the Design Thinking and Prototype methods. The Design Thinking method is used to explore and understand user needs, while the Prototype method is employed to develop and test solutions iteratively. The system produced is expected to improve the accuracy of attendance recording, reduce fraud, and minimize resource waste. In addition, this research contributes to creating a more efficient, reliable, and user-friendly attendance system, particularly in academic settings.
Design of Accounting Learning Media for Vocational Students to Enhance Data Analytics Skills Using Microsoft Power BI
This research is motivated by the lack of learning media that facilitates the use of data analytics tools like Microsoft Power BI in vocational accounting education, despite the fact that several professional literatures highlight that accountants need skills in working with data and communicating results to stakeholders. The purpose of this study is to design a learning media based on accounting data in the form of several financial dashboards, including sales analysis, Profit & Loss analysis, and Balance Sheet analysis, using financial transaction data processed through Microsoft Power BI. This enables both lecturers and students to interpret accounting data through the data visualization tools that have been created.This study follows a developmental research approach using the ADDIE model, which includes analysis, design, development, implementation, and evaluation. The testing of this learning media design was conducted with accounting lecturers and students. The results show that the validation from both lecturers and students indicates that the learning media received excellent ratings. Therefore, it can be concluded that the learning media utilizing Microsoft Power BI to enhance students' data analytics skills is highly feasible for implementation in accounting education.
The Application of Impromptu Technique to Improve Speaking ability of Vocational Students of Bengkalis State Polytechnic
Based on issues identified in the classroom, students at the State Polytechnic of Bengkalis had difficulties in speaking. They struggled to understand and identify key points in the oral texts, and also had a limited vocabulary. To address these problems, the researcher decided to apply impromptu technique as a learning medium. The aim of the research was to determine to what extent the use of impromptu technique could improve students' speaking ability. This research was conducted over two cycles. Each cycle consisted of four meetings: three for teaching speaking and one for the post test. The participants were 22 students from the English department. Several instruments were used for data collection, including (1) observation sheets for students, teachers, and teaching steps, (2) field notes, and (3) Speaking ability tests. The findings revealed that the use of impromptu technique could improve the students’ speaking ability. This was evident from the improvement in their average scores on speaking ability. The average score of the students before using this technique was at 51, which increased to 60 at the end of the research. In conclusion, the implementation of impromptu technique enhanced the students' speaking ability in the English department at the State Polytechnic of Bengkalis. It not only improved their test scores but also increased their interest in speaking activities.
Allelopathy of Ethanol, Ethyl Acetate, and Aquadest Extracts of Kirinyuh (Chromolaena odorata) Leaves as a Bioherbicide in Controlling Spenochlea zeylanica
Spenochela zeylanica is the most prevalent weed of paddy rice in Indonesia, and therefore its presence necessitates control in order to reduce the potential for yield losses. The use of chemical herbicides as a control method is prevalent, but their environmental impact and potential for inducing weed resistance are significant drawbacks. It is therefore necessary to identify control methods that are environmentally friendly and capable of overcoming weed resistance. The leaves of Chromolaena odorata have allelopathic properties that could be harnessed for use as a bioherbicide. The objective of this study is to evaluate the efficacy of C. odorata leaf extractions using diverse organic solvents as a bioherbicide for the management of S. zeylanica. This study used a randomized group design (RBD) with 11 treatments and 3 replications, including: T0: no treatment; 96% ethanol extraction: T1(5%), T2(10%), T3(15%); ethyl acetate extraction: T4(5%), T5(10%), T6(15%); aquadest extraction: T7(5%), T8(10%), T9(15%); T10: 2,4-D herbicide (648 g a.i./ha). The findings indicated that the extraction of C. odorata using various organic solvents exhibited promise as a bioherbicide, displaying the capacity to poison weeds up to 100% (T2, T3, T6, T8, T9) and effectively suppressing the height, root development, and chlorophyll content of S. zeylanica.
The Implementation Model for Creating Young Entrepreneurs Based on Bengkalis Local Business Potentials Through Industrial Incubator Based Learning
This research aims to analyze a model to create young entrepreneurs in Bengkalis. This study analyzed the role of business incubator and the potential of local businesses in Bengkalis to develop a model for creating young entrepreneurs. The analysis method used a mix method, which combines descriptive qualitative analysis and quantitative analysis. Descriptive qualitative analysis is used to explain the perceptions of respondents through questionnaires. Quantitative analysis uses Structural Equation Modelling - Partial Least Square (SEM-PLS) to identify the roles of Industrial Incubator Based Learning and Local Business Potentials to Create Young Entrepreneurs. The research results suggest that there is potential for further development of prospective local businesses, even though the number of young entrepreneurs relatively small. The development of local businesses with greater support and resources potentially foster greater entrepreneurial interest among young people. This research also found that The efforts by local governments and higher education institutions to advance MSMEs have yet to reach their full potential. In addition, collaborative industrial incubator based learning has been introduced as an integrated learning framework to create young entrepreneurs in Bengkalis.
Implementation of Green Supply Chain Management Toward Utilization of Palm Oil Waste
Green Supply Chain Management is a supply chain business model that involves an economic and sustainable business practice through environmental-friendly plants. This model is seen to improve the performance of an industry by reducing environmental risks and impacts, efficiency of ecology. Palm oil industry is considered as a big business but has generated a large volume of waste. This research was aimed to discover how to become more sustainable in managing and utilizing the palm oil industry waste. This research used a literature review method and the data is sourced from secondary data. This research found that the waste of the palm oil industry can promote waste management and convert from an evil to a necessity to maintaining the environment and sustainable economic development.
The Modular Geometry of Precast Concrete for Highway Drainage Channel
This research is based on the phenomenon of failure of masonry drainage channels, especially in locations with steep to very steep slopes. Observing the flow behavior and mechanical properties of the masonry, it is possible due to the erosion of the bottom to the foot of the channel so that the masonry collapsed and/or due to side soil pressured which caused the masonry failure. It could be overcome by replacing the masonry with precast concrete. The obstacle of precast concrete implementation in low cost projects is involvement of heavy equipment when erecting precast concrete for drainage channel (e.g. U-Ditch) which is available on the market. This research aims to design the geometry and dimensions of precast components for open channel of drainage with limitations: component weight (kg/component) is limited so that it could be lifted by man power and is able to flow a design discharge ≥ 0.5 m3/s at 1.5 m /s. Channel was divided into 4 components, namely: foundation (F), bed (B, type I and II), wall (W), and channel cap (C) with 6 cm of thickness, 1:10 (H:V) of wall slope channel, and 75 cm of each component length. Each component weighs no more than 50 kg, so could be carried out without heavy equipment when constructed. The weights of each component are 39.8 kg, 45.36 kg, 28.8 kg, 37.8 kg, and 21.45 kg for foundation, bed type I, bed type II, wall, and channel cap.
Evaluating Students’ Competence in ESP: A Study in Naval Architecture Department of Politeknik Negeri Bengkalis
This study evaluates students' competence in English for Specific Purposes (ESP) in Naval Architecture Department of Politeknik Negeri Bengkalis. ESP subject is tailored to meet the specific language needs of students in specialized fields, aiming to enhance their communication skills in professional contexts. This study employed quantitative method, specifically a descriptive study. Using a purposive sampling technique, the samples of this study were 17 students of Naval Architecture Department of Politeknik Negeri Bengkalis. This study used a test to assess students' competence in English for naval architecture. Key areas of focus included types of ships, parts of ships, ship materials, and ventilation and coating system. The findings indicated a varying level of competence. The highest score was 77.5 and the lowest score was 47.5. Regarding the average scores of each topic, the highest average score was in the topic of types of ships (98.2), followed by parts of ships (65.9), ship materials (54.7), and ventilation and coating system (44.7). This study concludes that a good approach to teaching ESP is essential for better preparing students for their professional careers especially in the shipping industry. As an implication for the lecturers of English for Naval Architecture, the topics of parts of ships, ship materials, and ventilation and coating system, without neglecting other topics out of the focuses of this study, need to be learned more by the students of Naval Architecture Department.
Analyze of Tourism Potential Tiku Beach Agam Regency as a Marine Tourism Destination
This research aims to identify and map the tourism potential of Tiku Beach, Tanjung Mutiara District, Agam Regency, based on the theory of 4A Tourist Destination Components, namely attraction, accessibility, amenities and ancillary service. Tiku Beach has an attraction for marine tourism, namely in the form of views of the beach and waters with natural coral reefs. The coastal view is unique, still beautiful, white sand with a wide coastline and a fairly sloping contour facing directly to the Indian Ocean. The potential that exists at Tiku Beach can be developed into a superior marine tourism destination. This research uses a qualitative descriptive approach. Data was collected using observation, interviews and literature study methods. Data analysis in this research is inductive, carried out through a process of data reduction, data verification and data presentation. The data that has been collected is then processed and analyzed using descriptive techniques. The research results show that Tiku Beach has the potential to be pioneered and developed into a marine tourism destination. There is still a need to improve each component of the 4A tourist destinations in this area, especially the amenities and anciallary service components. Coordination and synergy of all elements of the tourism pentahelix are needed to accelerate tourism activities at Tiku Beach, Tanjung Mutiara District, Agam Regency.
Classification Of Nutrient Deficiency In Lettuce Plants (Lactuca Sativa ) Using Machine Learning Algorithm
Plants require appropriate nutrients or nutrients for their growth and development. Inappropriate nutrient levels can interfere with the plant growth process, resulting in less-than-optimal harvest results. Therefore, it is very important for farmers to know the nutrient levels of their plants, neither excessive nor lacking. Identification of nutrient deficiencies in plants such as Lettuce (Lactuca Sativa) traditionally requires careful observation of the physical characteristics of the plant, which is often long-drawn out and stand in need of a high level of accuracy. Leaf color is often used as an indication, for example if it is pale or yellow it can indicate a lack of nitrogen or iron. This requires expertise and experience in cultivation for lettuce cultivators. So, a tool is needed that can identify nutrient deficiencies accurately, quickly, and easily. This study aims to overcome this challenge, namely identifying nutrient deficiencies in lettuce plants. This approach utilizes machine learning technology to distinguish four main classes of deficiencies, namely: nitrogen (N), phosphorus (P), and potassium (K), as well as normal or healthy lettuce leaf conditions. The proposed research method consists of the following stages: 1). Lettuce leaf image dataset collection, 2). Preprocessing dataset, 3). Implementation of machine learning using the Support Vector Machine (SVM) algorithm. In the implementation of SVM, experiments were carried out by applying various SVM kernel spesifically: Linear, Polynomial, Radial Basis Function (RBF), and Sigmoid, 4). Evaluation of model performance. Model performance was evaluated by measuring its level of accuracy in classifying nutrient deficiencies in Lettuce leaf image data. The results of the experiment showed that SVM with the RBF kernel had the best accuracy, namely: 92%. The findings of this study provide valuable insights into the effectiveness of machine learning approaches in classifying nutrient deficiencies in Lettuce plants. This study can help farmers to optimize their crop production more efficiently and accurately.
The Effect of Using Embankments and Modifying of Stepped Seawall Slope as Alternatives to Reduce over Topping at Selatbaru Beach Bengkalis
Located in Selatbaru Village, about 25 km from the centre of Bengkalis City, Selatbaru beach has become a favourite destination for tourists who want to enjoy the beauty of nature while engaging in outdoor activities. At that beach, a stepped-type seawall has been constructed to prevent erosion and make it easier for visitors to enjoy the beach, such as going down to and coming up from the beach. The current situation is during high tide and strong winds, waves run up the top of the seawall, causing seawater to surge onto the land. This research will conduct experiments by creating a prototype based on field survey data and laboratory scale, including the seawall dimensions, water level, and wave height, with a scale ratio of 1:10. The experimental scenarios to be conducted in the laboratory a. Existing seawall slope of 1:3 with embankment, b. Changing the seawall slope to 1:5, and c. Changing the seawall slope to 1:5 with embankment. The irregular wave height to be simulated in the laboratory is 0.8 meters. The experiment will be conducted to observe the response of the seawall structure to incoming waves and the over topping occurring on the seawall structure. The results shows that the alternative of adding an embankment and using a 1:3 seawall slope, has already been able to reduce over topping volume 40,74 %. For the second scenario, the over topping volume decreased by 77.78 %, while the third scenario reduced over topping by 100 %. The best scenario is the third with slope to 1:5 and added of embankment that will decrease volume overtopping up to 100 %.
Implementation of Customer Relationship Management: The Effect of Brand Image on SMES in Siak Regency
This study aims to determine the effect of brand image on the implementation of customer relationship management by SMEs in Siak Regency. The population of this study was all the SMEs in Siak Regency and used the slovin formula as a sampling technique. Data collection techniques used surveys, observational and In Deph Interviews. Data analysis technique used simple linear regression. The result of this study show that: The brand image have positive and significant effect on implementation of customer relationship management with contribution of 75,4%.
Designing a Web-Based Application Using Human- Centered Design to Enhance Postpartum Mental Health Support for Parents of Children with Special Need
Postpartum mental health challenges are a significant concern for mothers, particularly for those caring for children with special needs. These mothers often experience heightened levels of stress, anxiety, and emotional distress, which can adversely affect their well-being and their ability to provide care. This research focuses on designing and developing a web-based application to enhance mental health support specifically for this demographic, using a HumanCentered Design (HCD) approach to recognize these challenges. The design process commenced with a comprehensive user requirement analysis, utilizing qualitative methods such as interviews and quantitative surveys to gather insights directly from mothers. This engagement allowed us to identify their unique needs, preferences, and pain points. Through collaborative discussions, we pinpointed essential features that would make the application user-friendly and effectively support their mental health. The design development phase incorporated iterative feedback loops, refining the application based on real user experiences and suggestions. Each iteration was guided by established HCD success indicators, ensuring alignment with users' expectations. The current goal of this research is to produce a prototype of the web application that addresses the mental health challenges faced by postpartum mothers. By integrating functionalities that promote emotional well-being and provide access to relevant resources, this application aims to empower mothers and foster a supportive community, ultimately contributing positively to their lives and caregiving experiences.
The Effect of Soaking and Boiling on Physical and Chemical Properties of Read Kidney Beans Instant
Red kidney beans are a plant-based food that contains protein, carbohydrates, dietary fiber, vitamins, and minerals,. Red kidney beans take a long time to cook and have a rough texture. As a result, instant red kidney beans must be developed. Soaking, boiling, and drying are the steps in the production of instant goods. The objective of this research was to determine the physical and chemical characteristic of soaked-boiled red kidney beans and instant red kidney beans based on soaking and boiling times. The study used a factorial completely randomized block design. The first factor was soaking time, which had three treatments (0 hours, 6 hours, and 12 hours). The second factor was cooking time, which had three treatments (0 minutes, 10 minutes, or 20 minutes). The study was carried out three times. Data analysis was conducted statistically using analysis of variance (ANOVA) at a 5% significance level to determine the effect of treatment on test parameters. If the treatment has a significant effect, a further Duncan test will be conducted to determine the differences between treatments. The results showed that soaking and boiling affected the physical and chemical characteristics of instant red beans. The weight, yield, and hydration capacity of instant red beans increased with the longer soaking and boiling, and the hardness, density of the kamba, and color intensity of instant red beans decreased with the longer soaking and boiling. Soaking for 6 hours and boiling for 10 minutes was the optimal time to produce instant red beans. The physical and chemical characteristics of instant red beans included weight 161.5 g, density of kamba 0.71 g/ml, hardness 2.83 cm/kg, hydration capacity 66.67%, water content 8.02%, and soluble protein 6.71%.
The Role of SMOTE in Enhancing Naive Bayes Classification for Major Choice Prediction
This study examines the application of the Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance within a dataset used for predicting high school major selection. The dataset comprises 468 training instances, including 306 labeled as 'IPA' and 162 labeled as 'IPS'. Despite the implementation of SMOTE, the results reveal no significant enhancement in the predictive performance of the models, as both the SMOTE and non-SMOTE models achieved an accuracy of 100%, an F1-score of 100%, and a recall of 100%. This finding suggests that other factors, such as the selection of relevant features, hyperparameter tuning, and model complexity, may have a more substantial impact on prediction performance. Additionally, the study proposes several recommendations for future research, including conducting a more in-depth feature analysis, exploring alternative classification algorithms with advanced class imbalance handling mechanisms, and performing meticulous hyperparameter optimization to improve overall model performance.
Comparative Analysis of Filtering Techniques for Efficient Data Aggregation in Smart Hydroponic Systems
The rapid evolution of digital technologies has transformed traditional agriculture into a more efficient and intelligent system. This study focuses on the development of a data aggregation strategy in Smart Hydroponic Systems to optimize network consumption without sacrificing data accuracy. By utilizing Threshold Filtering and Delta-Based Filtering techniques, significant reductions in data transmission were achieved while maintaining essential temperature monitoring capabilities. Experimental results demonstrated that both techniques effectively reduced data points and optimized bandwidth usage, particularly in temperature-stable environments. This research contributes to the advancement of sustainable digital agriculture by providing an efficient approach to managing network resources in IoTbased hydroponic systems.
PRISMA-Guided Systematic Review on Machine Learning for University Student Dropout Prediction
This systematic review examines the application of machine learning techniques to predict students dropout. The prisma 2020 guidelines were followed to ensure a comprehensive and transparent review process. As the behaviour of students who drop out becomes increasingly complex due to factors such as academic performance, personal characteristics and socio-economic conditions, machine learning offers promising solutions for the early identification of students at risk. This review summarises findings from peer-reviewed studies published between 2014 and 2024 and indexed in the scopus database. The focus is on the performance, strengths and limitations of different machine learning models such as decision trees, support vector machines and neural networks. The selection of the 2014-2024 timeframe reflects the significant advances in machine learning technologies, the improved quality and availability of educational data, and the evolving research trends in education. This timeframe also coincides with changes in education policy and ensures that the study captures current and relevant findings. The report concludes with recommendations for future research, including the integration of complex data characteristics and the development of universal models that can be adapted to different student populations.
Design and Build of a Temperature Monitoring System for Charcoal Burning Pipes Using Arduino Uno
Charcoal burning is a traditional method widely used in industries such as power generation, steel production, and manufacturing. This process involves high-risk equipment components, such as pipes that have a certain melting point limit, so continuous temperature monitoring is very important to maintain operational efficiency and safety. Anjangg village, as a producer of charcoal from mangrove tree trunks, faces air pollution problems due to the smoke produced during the burning process. As a solution, a tool has been developed that can convert smoke into liquid (liquid smoke). However, the high temperature of the smoke poses a risk to the PVC pipe material used in liquid smoke condensers which can melt at a temperature of 85℃. The tool that will be made in this research is a tool that can monitor the temperature of the pipe to help maintain the durability of the condenser pipe material. This monitoring system tool is run using an automatic Arduino Uno microcontroller system and uses a type K thermocouple temperature sensor as a temperature detection tool in the pipe. The test results show that the system is successful in detecting temperatures up to 83.75℃ well, with consistent voltage when detecting smoke or not.
Analysis of HSS Chisel Hardness on a Lathe Machine Through Heat Quenching Treatment at the Production Workshop of the Department of Mechanical Engineering, Bengkalis State Polytechnic
Based on the results of the Field Study at the Bengkalis State Polytechnic Machine Tool Workshop practice, during the metal cutting machining process, there is an interaction between the tool and the workpiece. The friction experienced by the tool is caused by the flowing grunt surface and the surface of the workpiece that has been cut. As a result of this friction, the tool suffers from wear. The wear of this tool will increase to a certain extent. The length of time it takes to reach this wear limit is defined as tool life. The factors that affect tool wear are temperature and cooling media on the average value of a response. From the data, it can be seen that the decrease in wear from temperature from 800 to 1000 0C there is a significant decrease in the average response. For the refrigerant media factor, the difference in influence between salt, bromus oil, and SAE 20 oil was also seen, where salt provided the highest average HSS tool wear value, followed by bromus oil, and the lowest wear was SAE 20 oil of 0.066 mm. This indicates that the tool wear is lower and the tool is harder than the tool before heat treatment quanching at 1000 °C
Analysis Of The Transmission System In A 2010 Honda Beat Electric Motorcycle
With the advancement of technology and the growing awareness of environmental protection, electric motorcycles are becoming increasingly popular as eco-friendly alternatives to conventional motor vehicles. The modification of the 2010 Honda Beat is one such electric motorcycle model that has gained public attention due to its attractive design and reasonably good performance. However, despite the rising popularity of electric motorcycles, there are still some technical aspects that need further analysis to ensure optimal performance. One important component in a motorcycle is the transmission system. The transmission system functions to convert engine power into motion at the drive wheel. The cause of slipping that occurs in the 2010 Honda Beat electric motorcycle is overly loose tension. In the 2010 Honda Beat electric motorcycle, the transmission system has been changed from a belt drive transmission to a sprocket transmission system, with a ratio of 15 teeth on the front sprocket and 32 teeth on the rear sprocket, resulting in a sprocket ratio of 2.128. The chain speed is 7.7 m/s with 76 chain links or a length of 84.22 cm. The transmission system on this electric motorcycle uses a number 40 single-chain drive.
Acclimatization of Micro Shoot-tip Cutting Red Palestine Fig on Several Planting Media Compositions
Acclimatization is a critical stage in plant micropropagation. Many plantlets resulting from tissue culture cannot survive when acclimatized. External environmental conditions will affect the ability of acclimatized plants to survive. Apart from climatic conditions (temperature and sun intensity), the type of media and its composition of the planting media can also influence the ability of plantlets to survive and grow. This research aims to: 1) see effect of media planting composition on acclimatization of fig micro shoot-tip cutting, and 2) find the best composition of acclimatization media treament for the success and growth of acclimatized fig from micro shoot-tip cutting. The research was carried out using a Randomized Block Design with 7 treatments, and each treatment was repeated 4 times. Each experimental unit was planted with 6 cuttings of fig plants resulting from in vitro multiplication. The data were subjected to analysis of variance, and differences between acts were tested with Tukey Test at the 5% level. The results showed: 1) The media planting composition were success to influence acclimatization of fig micro shoot-tip cutting, 2) The best composition of acclimatization media treament for the success and growth of fig micro shoot-tip cutting is top soil+cocopeat, and 3) The highest percentage of survival rate on fig micro shoot-tip cutting acclimatization (75%) obtained on top soil+cocopeat media followed by top soil media (45%).
Analysis of the Impact of Boiler Performance Due to the Addition of Water Tubes in a Vertical Fire-Tube Boiler with a Steam Capacity of 100 Kg/Hour
The problem with this boiler is that the steam produced is not continuous, meaning that at a pressure of 1 bar, the steam lasts for approximately 2 minutes, and the heating process of this fire-tube boiler is also prolonged, taking around 95 minutes from the start until reaching a temperature of 100°C. This results in the need for more used oil as fuel. Some initial analyses to solve these issues include increasing the heating surface area of the boiler or the combustion chamber by adding water tubes and using wood as the fuel. The objective of this research is to analyze the heating time, steam retention time, wood f uel consumption, and efficiency before and after the modification with the addition of water tubes. The method used is experiment al. The tests conducted before modification showed a heating time of 45 minutes, and with the addition of water tubes, the heating time was reduced to 36 minutes. The steam retention time before modification was 4 minutes, while with the addition of water tubes, it increased to 4 minutes and 42 seconds. The total wood fuel consumption for the fire-tube boiler to reach an operating pressure of 3 bar required 33.2 kg of wood, and after the addition of water tubes, the total consumption to reach 3 bar was reduced to 27 kg of wood. The efficiency of the fire-tube boiler before modification at 1 bar pressure was 66.6%, at 2 bar pressure 59.3%, and at 3 bar pressure 51.6%. After adding water tubes to the fire-tube boiler, the efficiency increased, with the efficiency at 1 bar pressure being 74.5%, at 2 bar pressure 68.8%, and at 3 bar pressure 62.9%. This indicates that the addition of water tubes can improve the boiler's efficiency.
Mapping Digital Business Innovation: A Bibliometric Analysis of SDG Integration
This study investigates how research in digital business innovation has evolved to incorporate sustainability objectives through a systematic analysis of academic literature from 2016 to 2024. The research employs a comprehensive bibliometric approach to analyze 1,627 documents from 684 sources in the Scopus database, focusing on publication patterns, thematic evolution, and emerging research directions. The analysis reveals three distinct phases in the field's development: foundation (2016-2018), integration (2019-2021), and transformation (2022-2024). Publication volumes show significant growth from 7 articles in 2016 to 482 in 2024, with a marked acceleration following the COVID-19 pandemic. Research themes cluster around three main areas: digital business innovation (572 publications), economic stability (245 publications), and sustainability implementation (156 publications). Core integration themes focus on environmental, social, and governance (ESG) implementation and green innovation, while emerging areas emphasize artificial intelligence applications and circular economy principles. The findings demonstrate a clear shift from technologyfocused approaches to integrated frameworks that align digital transformation with sustainability goals. Analysis of research patterns reveals increasing emphasis on ESG integration (16.8% of recent publications) and sustainable business models, though significant gaps remain in standardization and long-term impact measurement. This study contributes to understanding how organizations can effectively combine digital innovation with sustainability objectives, highlighting opportunities for future research in measurement frameworks and ethical implementation guidelines.
The Role of Lemon Grass (Cymbopogon citratus) in Improving Carcass Quality and Final Body Weight
Lemon grass (Cymbopogon citratus) has been valued for its aromatic and medicinal properties. This study explores its role in improving carcass quality and final body weight in broilers. The increasing global demand for high-quality meat products necessitates sustainable animal production systems. Traditional methods often use synthetic additives and antibiotics, raising concerns about food safety and environmental impact. Thus, natural alternatives like lemon grass, rich in essential oils, flavonoids, and phenolic compounds, are gaining attention. This experiment, conducted at Politeknik Negeri Lampung using four threatments and five replications and for further test using Duncan. The highest body weight and carcass percentage were observed in broilers with 1.5% lemon grass extract in drinking water. This study confirms lemon grass's potential as a natural feed additive, promoting sustainable and efficient livestock farming practices while improving meat production quality. Further research is recommended to optimize inclusion rates and understand long-term effects.
Control System for BLDC (Brushless Direct Current) Motor in Electric Vehicles
Electric vehicles represent an effective alternative to reduce environmental pollution caused by emissions from fossil fuel-powered vehicles. This study utilizes a 1500-watt Brushless Direct Current (BLDC) motor as the drive motor. Unlike conventional DC motors, BLDC motors operate with three phases, requiring an automation system to ensure optimal distribution of current and voltage across each phase. For motor control, a Convenient Speed Control system with a maximum power of 3000 watts is implemented. This system allows the vehicle to move forward and backward, as well as enabling manual throttle operation. During the experiment, the fully charged battery displayed an initial voltage of 53.2 volts for the forward mode and 52.8 volts for the reverse mode. The current required for forward movement was measured at 18 A, while for reverse it was 12.9 A. The minimum speed achieved by the electric vehicle was 88.8 RPM, whereas the maximum recorded speed was 316.9 RPM. Thus, this control system is not only efficient in regulating speed but also provides flexibility in operating the electric vehicle, supporting efforts toward more environmentally friendly transportation solutions.
Internet Of Things (IoT) For Electric Car Battery Capacity Controller
This paper discusses a 58 volt battery voltage control system for electric vehicles using the Blynk application. The research successfully monitors the amplitude of the battery voltage. Additionally, it includes the capability to control the battery via an SSR relay, which is connected to the NodeMCU ESP8266. The Blynk application displays both the amplitude and the percentage of the battery voltage. The NodeMCU ESP8266 has demonstrated reliable performance, maintaining a stable connection as long as it is connected to the internet. The average voltage discrepancy shown on the Blynk application is 0.74%. The SSR relay disconnects the power supply to the electric vehicle when the battery voltage approaches 46.3 volts or when the battery capacity percentage drops to 0.16%. This system ensures that the battery is managed effectively, preventing over-discharge and potential damage by disconnecting the load at critical voltage levels
Machine Learning-Based Intrusion Detection System (IDS) for Classifying Types of Attacks on Computer Networks
Server security on a computer network is very important, maintaining the security of a computer network in order to maintain information, data and maintain infrastructure so that it can work and function properly and provide access rights to registered users, this research, aims to build an IDS (Intrusion Detection System) on the network and Server using Raspberry Pi with SNORT which is useful for monitoring Server activity when an attempted attack occurs. With the increasing complexity of network attacks carried out by attackers, intelligent and adaptive approaches are needed to detect and overcome these threats. Traditional methods such as rule-based or signatures are often not effective enough in the face of evolving attacks. The large amount of network traffic data makes it difficult to manually analyze and detect attacks. Naive Bayes has a very important role in the classification and detection of network attacks, both considered malicious and highly malicious, By using Naive Bayes, network security systems can become more proactive and adaptive to attacks. This technology not only helps in detecting familiar attacks but also enables identification and response to new or unknown attack techniques. Through proper classification, the system can provide better protection and reduce the impact of attacks.
Prediction of Interest in The D3 Nautical and D3 Port and Shipping Management Study Program for New Student Admissions at State Polytechnic of Bengkalis Using Naïve Bayes
The selection of an academic program at a higher education institution is a crucial decision that can significantly impact a student's academic journey. By choosing an appropriate program, students are more likely to be immersed in an academic environment with peers, faculty, and learning conditions that align with their goals and abilities. This fosters a positive and supportive atmosphere, enables students to excel academically and acquires the necessary knowledge to succeed in the workforce post-graduation. The Maritime Department at State Polytechnic of Bengkalis offers two study programs: D3 Nautical and D3 Port and Shipping Management. In recent years, there has been a noticeable decline in the interest of prospective students in the Nautical program, while the Port and Shipping Management program has experienced a steady increase in interest. This research employs the Naïve Bayes algorithm as a predictive model to classify student interest in the Maritime Department's programs for the 2024 new student admissions. The study focuses on predicting enrollment trends for the D3 Nautical and D3 Shipping Management programs. The results demonstrate that the Naïve Bayes algorithm is capable of predicting program interest for new student admissions in the Maritime Department with an accuracy of 54%, a precision of 77%, and a recall of 58%.
The Effect of AB Mix Nutrient Formulations on The Growth and Yield of Several Red Chili Varieties in Hyroponics System
Hydroponics is one of the options of red chili peppers (Capsicum annuum L.) cultivation. Formulation of nutrient solutions can be done by combining several chemical fertilizers to obtain a complete nutrient content at more cost-effective and readily accessible. The study used factorial randomized block design (RBD) in split splot. The master plots were four AB Mix formulations, F1: P (75 ppm) K (402 ppm) Ca (150 ppm) Mg (60 ppm) and S (90 ppm), F2: P (105 ppm) K (432 ppm) Ca (180 ppm) Mg (90 ppm) and S (120 ppm), F3: P (135 ppm) K (462 ppm) Ca (210 ppm) Mg (120 ppm) and S (150), F4: P (165 ppm) K (492 ppm) Ca (240 ppm) Mg (150 ppm) and S (180 ppm). The subplots were 3 chili varieties; Kitavi variety (V1), Akar variety (V2) and CK F1 variety (V3). The results showed that AB Mix F4 formulation produced enhanced performance in plant height, stem diameter, crown width and fruit diameter. The use of CK curly red chili varieties exhibited better performance in the parameters of plant height, stem diameter, crown width and flowering age than the Kitavi dan Akar varieties. The AB Mix F4 nutrient formulation and the use of CK curly red chili varieties are the best combination for plant growth in the variables of plant height, stem diameter and crown width.
Implementation of the Luther Method in Virtual Reality Designing of the Flow of Making a Driver's License (SIM) at the Traffic Unit (Satlantas) of the Kampar Regency Regional Police
SIM issuance is carried out by the Polres traffic unit, including Satlantas Polres Kampar, which currently still uses banners to convey information about the flow of SIM issuance. This problem can be overcome by making a websitebased Virtual Tour of the Flow of Making a Driver's License. This Virtual Tour was developed using the PHP programming language, CodeIgniter v3 framework, MySQL database, Apache, jQuery, and hardware in the form of Insta Nano 360 cameras and iPhone cellphones, as well as software such as Adobe Photoshop. This research aims to facilitate the public in finding information about the flow of making a driver's license since it can be accessed anytime and anywhere without having to come or ask directly to the location. The method used in this research is the Luther method, which consists of six stages: concept, design, material collection, manufacture, testing, and distribution. The results of this study successfully created a Virtual Tour of the flow of making a driver's license that can be accessed through the website, and serves as information that makes it easier for the public to find out the flow of making a driver's license at Satlantas Polres Kampar, with the results of user response reaching an average value of 90.15%.
Unraveling Communication Barriers among Apathetic Students in Media Writing
This qualitative research explores the communication barriers that contribute to apathy among students in the "Writing for Media" course at the English Department of Politeknik Negeri Padang. Utilizing in-depth interviews and direct observations, the study identifies the factors causing disengagement and examines how ineffective communication dynamics exacerbate apathy. By analyzing the experiences of apathetic students, the research aims to shed light on the underlying issues hindering their academic participation. Targeted findings will provide valuable insights for educators, facilitating the development of targeted strategies to enhance engagement and improve the learning environment. Furthermore, this research aspires to contribute to the ongoing discourse on educational effectiveness by deepening our understanding of how communication challenges affect student motivation and learning outcomes. By focusing on the relationship between communication barriers and apathy, this study not only seeks to improve academic performance but also to design inclusive educational strategies that promote student motivation, ultimately leading to a more dynamic classroom experience.
Inflation and Income Inequality in Riau Province
This study investigates the relationship between inflation, economic growth, and income inequality, focusing on the Riau province. This research uses panel data from 12 districts / cities in Riau province with the period 2018-2022 and uses the granger causality test with EViews 13 software. The findings reveal no causal relationship between inflation and income inequality during the observed period, indicating that fluctuations in inflation rates do not predict changes in income inequality, nor vice versa. This conclusion highlights the significance of government policy, economic structure, education, and labor force participation over inflation. While some studies suggest that moderate inflation may reduce inequality by increasing the value of assets held by lower-income groups, this effect is context-dependent. Furthermore, the analysis of economic growth reveals a complex relationship with income inequality, where the Granger causality test shows no predictive link, especially in developing nations where growth benefits often favor high-income groups. Although some research identifies a causal relationship under specific circumstances, the overall implication is that targeted policy interventions addressing labor market dynamics and redistribution are essential for mitigating income inequality, rather than relying solely on economic growth. The study emphasizes the need for context-specific approaches to understand and address income inequality effectively.
How human capital may boost competitive advantage in cafés? Findings from Bukittinggi
This study investigated the relationship between Human Capital (HC) and Competitive Advantage (CA) in the coffee shop industry of Bukittinggi, a prominent tourist destination in West Sumatra. Utilizing a quantitative approach, primary data were collected through structured questionnaires distributed to 55 coffee shop owners. The research employed Structural Equation Modeling (SEM) with SmartPLS to analyze the data, aiming to elucidate how investments in human capital contributed to achieving competitive advantage in a highly competitive market. The findings indicated a significant positive relationship between human capital and competitive advantage, highlighting the critical role of employee education, skills, and experience in enhancing business performance. Additionally, the study introduced social capital as a vital variable linked to networking within the coffee business community, which further supported competitive advantage. The results emphasized the importance of developing human capital strategies for coffee shop owners to thrive in an evolving marketplace. These insights provided practical implications for l ocal entrepreneurs, policymakers, and stakeholders, suggesting that continued investment in human resources could foster business growth and positively impact the tourism sector in Bukittinggi. Ultimately, this research contributed to the broader understanding of human capital's role in driving competitive advantage within small and medium-sized enterprises (SMEs).
Screening of Active Compounds from Sargassum Seaweed Collected from Lampung Bay
Sargassum is a genus of brown algae with significant potential as a bioprospecting material. This seaweed is abundant in Lampung Bay, although it has not yet received the same attention as commercial seaweeds like Gracilaria sp. and Eucheuma sp. The purpose of this study is to inventory the types of active compounds in Sargassum extracts using solvents with different polarities. Extraction was carried out using the maceration method with methanol (polar) and nhexane (non-polar) solvents in a 1:3 ratio. Methanol yielded a more optimal quantity and concentration of filtrate compared to n-hexane. Qualitative testing of active compounds was conducted through phytochemical assays, indicating the presence of flavonoids, alkaloids, polyphenols/tannins, and saponins in Sargassum. The target flavonoid compound was confirmed by quantitative analysis using UV-Vis spectrophotometry, which revealed a flavonoid content of 7.84 grams in the methanol-solvent sample and 3.61 grams in the n-hexane sample. To support its use in aquaculture activities, further testing for antibacterial activity is required.
Planning and Implementation of Bicycle Paths Connecting Colleges and Government Offices in Bengkalis Island
Environmentally friendly mobility is an urgent need for developing areas, including Bengkalis Island. The planning and development of bicycle paths as a connection between colleges and local government offices on Bengkalis Island consider factors of efficiency, safety, and comfort. This bicycle path planning is also expected to support a healthy lifestyle and reduce pollution and traffic congestion. This research uses a qualitative descriptive approach with mapping analysis and community needs surveys. The research results show that bicycle paths are not only beneficial for students and employees but also become part of the environmentally friendly infrastructure for the wider community. Based on the survey results, it is evident that the community predominantly desires the presence of bicycle paths. After conducting a road inventory, it was found that the accessible road that can be planned for the bicycle path is from Pramuka Road to the Polytechnic State Campus of Bengkalis and the road connecting to the Bengkalis government offices, while other roads have not yet provided sufficient width. The planned bicycle path will adhere to the circular letter from the Ministry of Public Works, Directorate General of Highways No. 05/SE/Db/2021 regarding Bicycle Facility Design.
Optimization of Tsunami and Earthquake Awareness Through Digital Mapping Using a Decision Support System with Simple Additive Weighting (SAW) in Padang City
Padang is a city that is prone to earthquakes and tsunamis due to its location between the India and Asia plates on the west coast and being crossed by the Great Sumatran fault. The Padang coastal region is a strong source of earthquakes and tsunamis. Despite having experienced earthquakes in 2006, 2007, and 2009, Padang still faces difficulties in managing tsunami evacuation because of the lack of infrastructure and straight roads from the coast to higher ground. The presence of rivers in Padang causes the tsunami waves to be concentrated within a 200-meter radius and the evacuation routes are hindered by the presence of bridges that are not durable against tsunamis and earthquakes. Additionally, traffic congestion after an earthquake exacerbates the evacuation problems. This study aims to map the risk and potential of earthquakes and tsunamis in Padang 3 KM from the coast by comparing population and building data with the availability of shelters. The Simple Additive Weighting (SAW) method, as part of Geographic Information System, is used to analyze demographic data and shelter locations. The results show that Koto Tangah is the area with the highest risk level for earthquakes and tsunamis.
Navigating Communication Crossroads: Language Choice Dynamics in a Multinational Corporation Operating in Indonesia (Case Study: Riau Andalan Pulp and Paper)
This research explores the dynamics of language choice within a multinational corporation (MNC) operating in Indonesia, specifically at Riau Andalan Pulp and Paper in Riau Province (RAPP). The study examines how employees navigate language choices between English, the corporate language, and Bahasa Indonesia, the local language, within a multicultural and multilingual workforce. Utilizing a mixed-methods approach, the study combines qualitative interviews with quantitative surveys to gather comprehensive data from RAPP employees across various departments. Findings reveal that English is predominantly used in formal settings, such as meetings and official documentation, reflecting its role as the corporate language. Conversely, Bahasa Indonesia is preferred for informal interactions, highlighting its importance in fostering employee comfort and social cohesion. Key factors influencing language choice include professionalism, ease of communication, and inclusivity, with company policies promoting English proficiency to bridge cultural gaps. RAPP's language training initiatives, including the English Corner and participation in the Toastmasters Club, are instrumental in enhancing employees' language skills and supporting career development. The study recommends optimizing these programs by incorporating feedback, encouraging practical language use, leveraging technology, and aligning language learning with career advancement opportunities. By understanding and managing language diversity, RAPP can enhance cross-cultural communication, contributing to its success in the global market.
Analysis of the Application of CIA Triad Information Security Aspects in Academic Information Systems
Threats that often attack information systems such as data leakage, credentials (account compromise), phishing, web-based attacks, malware attacks, cracking (piracy), carding (illegal transactions) and so on. These types of crimes can certainly be prevented and handled which is the responsibility of the company/organization. Information security is an effort to protect information assets from potential threats. Information security indirectly ensures business continuity, reduces emerging risks, and makes it possible to optimize return on investment. The CIA Triad Information Security aspect in information and data systems is very important as a guideline or basic framework, because in it there are indicators in preventing Cyber Crime. Politeknik Negeri Bengkalis (Polbeng) as one of the State Vocational Universities in Indonesia already uses SIAKADCloud, a SEVIMA product as an integrated academic management information system. In addition, SEVIMA also claims that SIAKADCloud is a secure system. However, so far it has not been possible to ascertain the extent of its security. It is also necessary to know whether in its implementation SiakadCloud has implemented basic security standards in accordance with the CIA Triad, namely Confidentiality, Integrity, and Availability. To find out the application of Confidentiality do Block Direct, To find out the application of Integrity do User and Data filtering checks: user level division, while to find out the application of Availability do authentication.
A web-based application to classify cendrawasih birds using deep learning
This research aims to develop a deep learning-based model to classify images of birds of paradise (Cendrawasih). Three different model architectures were employed in this study: Convolutional Neural Network (CNN), InceptionResNetV2, and MobileNetV2. The dataset consists of several species of birds of paradise, which were processed using data augmentation techniques to enhance the variety and quality of the training data. The model training and evaluation processes were conducted using TensorFlow and Keras, with the application of callbacks such as EarlyStopping to prevent overfitting. Evaluation results indicate that the MobileNetV2 and InceptionResNetV2 models achieved the highest accuracy, with an average score above 90%. The system implementation involved developing a web application based on Flask and React JS to facilitate real-time image prediction. This study demonstrates the effectiveness of using deep learning models for bird of paradise image classification and their potential for application in limited computing environments.
Integration of MQTT and Node-RED for IoT-Based Server Room Temperature Monitoring System
The absence of temperature monitoring in the server room of PT PLN (Persero) Unit Induk Distribusi Riau and Kepulauan Riau (UID RKR) poses a high risk to the stability of business processes at UID RKR. Without reliable temperature monitoring, servers can experience overheating, potentially causing equipment damage and data loss. This would result in disruptions to the electricity services provided by UID RKR. Based on these potential issues, this research implements an IoT device consisting of an ESP32 and a DHT22 temperature sensor connected to the Telegram application. The IoT device monitors the server room temperature in real-time and sends notification messages through the Telegram chatbot API if there is a drastic temperature change in the server room. The Information Technology Systems Division (DSTI) of UID RKR can also send commands to the chatbot to obtain device status. Communication between the IoT device and the chatbot is facilitated through the MQTT protocol. The integration of IoT devices, API, and the visual display of the monitoring system is developed using Node-RED, which strongly supports real-time data processing. The monitoring system has been tested, including initial connection tests, temperature monitoring functionality, Telegram API message delivery, and system reliability. The test results show that the system has worked 100% effectively and can reliably monitor the server room temperature 24/7 in real-time. Validation with DSTI has also been conducted, and DSTI acknowledges the benefits provided by the monitoring system.
Optimization of Propeller Tunnel Design for the Polbeng II Ship
The Polbeng II ship is one of the crew vessels owned by Bengkalis State Polytechnic. This ship plays a vital role in supporting various research and exploration activities in the waters of Bengkalis. To enhance the ship's performance in terms of speed, the addition of a propeller tunnel component has significant potential to improve the vessel's speed and efficiency. The tunnel is designed based on the propeller diameter (D) used by the Polbeng II ship, and this study compares several design model variations of 20%D, 30%D, 40%D, and 50%D in relation to the distance from the rudder. The objective is to achieve the highest flow pressure value among the four design model variations using CFD evaluation based on an input fluid flow velocity of 1 m/s. The evaluation results indicate that the model with 40%D yields the highest pressure value of 103.73 pascals, along with a flow velocity of 2.018 m/s.
A Pathway to Preserving Malaysia’s Natural Heritage: A Case study of Politeknik METrO Betong Sarawak (PMBS)
Students that are also travelers and soon to be future tourism practitioners inherit the responsibility to managing natural resources, and in order to address environmental issues, they ought to be knowledgeable and adhere to principles that are consistent with sustainable tourism. The purpose of this study is to set a standard for assessing students' perceptions on sustainable issues. 18 respondents from Politeknik METrO Betong Sarawak (PMBS) have responded to this bilingual questionnaire. The results are relatable and the findings revealed a positive perception formed by the students on the role played by government agencies, industry players and education system in Malaysia.
PID Control of Main Maneuver for Three-Wheeled Omniwheel Robot
The maneuverability and precision of three-wheeled omniwheel robots are essential for effective navigation in various environments. This study aims to implement a PID (Proportional-Integral-Derivative) control system on a threewheeled omniwheel robot using the arduino platform, with compass sensor data serving as the primary reference for orientation control. The omniwheel design allows the robot to move freely in any direction, making it suitable for applications that require high flexibility and responsiveness. In this research, mathematical modeling of the robot's dynamics was conducted to understand its behavior during movement. The PID control algorithm was implemented to manage the speed and angular velocity of each wheel, utilizing feedback from the compass sensor to maintain the desired heading and stability during maneuvers. The experimental setup involved various maneuver scenarios, including rapid direction changes and navigation through complex paths. Results indicate that the integration of PID control with compass data significantly enhances the stability and accuracy of the robot's maneuvers. The proposed control system effectively reduces heading error and improves response time, demonstrating its effectiveness in maintaining precise movement under dynamic conditions. In conclusion, the combination of Arduino platform, PID control, and compass data provides a robust solution for controlling the main maneuver of a three-wheeled omniwheel robot, particularly in applications demanding high maneuverability and directional stability.
Developing a Gamified Mobile Learning Approach for Evaluating Student’s Agricultural Accounting Education
This study aims to establish an innovative approach to teaching accounting, with a strong emphasis on a student-centred methodology. The curriculum is thoughtfully designed using an effective teaching framework, with the primary goal of helping students better understand accounting principles. It introduces a mobile learning environment with a focus on gaming, achieved through the development of an accounting mobile game integrated into a mobile learning system. The study selected a group of 60 accounting students to participate. The curriculum development followed a quasi-experimental design, combining quantitative data gathered through questionnaires and qualitative data obtained through interviews. The results highlight the advantages of game-based mobile learning in improving teaching effectiveness. Moreover, a regression model indicates that information quality and service quality positively predict the intention to use such a learning approach, and this intention, along with user satisfaction, positively influences engagement in the learning process. Notably, user satisfaction serves as a mediating factor within this relationship. In conclusion, this study offers valuable recommendations for educators and researchers in the field of accounting, shedding light on the benefits of incorporating game-based mobile learning into accounting education.
Bio-Invigoration of DETAP-1 Soybean (Glycine max) Seeds Through PGPR Application
Soybeans are a source of plant-based protein and a staple food ingredient, especially in Indonesia. When stored for extended periods, soybean seeds may experience quality deterioration, which can impact their productivity. An effort to improve the quality of deteriorated soybean seeds is through bio-invigoration treatment. The goal of bioinvigoration is to enhance seed metabolism through imbibition. One method that can be used as bio-invigoration treatment is the application of plant growth-promoting rhizobium (PGPR). This research was conducted from May to July 2024 at the Seed Analysis Laboratory, Politeknik Negeri Lampung. The research was arranged in a Completely Randomized Design (CRD) with two factors, namely concentration (K) and soaking duration (L). For the concentration factor, there were four levels: 0% (K0), 6% (K1), 12% (K2), and 24% (K3), and the soaking duration factor consisted of two levels: 3 hours (L1) and 6 hours (L2). The factors were combined and repeated four (4) times, resulting in 32 experimental units. Data were analyzed using variance analysis at 5% and 1% significance levels, and if significant differences were observed, further testing was conducted using the Least Significant Difference (LSD) test at the 5% level. The results showed that PGPR can improve the viability and vigor of Detap-1 soybean seeds that have experienced deterioration. Treatment with 12% PGPR with a 6-hour soaking duration can increase the seed's germination by approximately 11.33%, from the initial germination rate of 68% to 80%.
Factors Affecting The Interest Of Prospective Students In Choosing The D3- Electronics Engineering Program
The development of the electronics engineering study program has experienced rapid progress in various aspects, such as microelectronics and semiconductor technology, renewable energy technology, smart grid, Internet of Things (IoT), communication networks, automation and robotics, and artificial intelligence (AI). However, at Polbeng, prospective students' interest in choosing this study program is quite concerning. Using a survey method conduct ed on high school students specializing in electrical engineering in the Riau Province with a sample of 125 respondents, questionnaires were distributed online, and the data were analyzed using quantitative techniques with multiple linear regression. The results show that out of the four factors suspected to influence interest in choosing, namely: motivation (X1); talent (X2); family (X3); and society (X4), only two factors significantly influence, which are the factors of motivation and talent. Motivation is influenced by career prospects, campus image, choices, promotions/socialization, and the proximity of the campus to their residence. Meanwhile, talent is determined by academic performance, skills possessed, creativity in innovation, satisfaction in the chosen department, and independence factor. These two factors proved to be the most dominant in influencing the choice of study program.
The Impact of Online Social Capital in The Context of Social Commerce on Consumer Purchase Intention
This study aims to examine the influence of online social capital on consumer purchasing interest in the context of social commerce. The urgency of this study lies in the increasing number of active users on social media every year, making this social commerce trend increasingly growing, because more and more business actors are offering their products and services through social media. This study employs a quantitative approach, focusing on primary data from a survey of Padang State Polytechnic students as the population. The data is processed using the Structural Equation Model (SEM) to test the hypothesis with the SmartPLS 4.0 program. The results of the study indicate that online social capital has a positive effect on consumer purchasing interest. Through these findings, it is hoped that it will contribute to business actors who have used social commerce in their marketing strategies, so that they can take the right policies through the online social capital they have from the experience gained from consumers, and it is recommended for business actors who have not used social commerce to be able to use it along with the massive use of social media today.
The Effect of Working Capital on the Profitability of Pharmaceutical Companies Listed in the Indonesia Sharia Stock Index (ISSI)
The purpose of this paper is to examine the factors affecting profitability of pharmaceutical company in Indonesia. This research is based on three independent variables that were empirically examined for working capital relationship with profitability. These variables are Cash Turn Over, Receivable Turn Over, Inventory Turn Over. Data of five pharmaceutical companies listed on in the Indonesia Sharia Stock Index covering the period of 2018–2023 were extracted from companies’ annual reports. The findings of this research show that cash turnover, accounts receivable turnover and inventory turnover simultaneously influence profitability. Partially, cah turnover does not have a significant effect on profitability. Meanwhile, receivables turnover and inventory turnover have a significant effect on profitability, with a coefficient of determination (R2) of 72,8%. The results provide a basis for future research in this field and can inform decision-making for pharmaceutical firms looking to improve their financial performance.pharmaceutical firms looking to improve their financial performance.
Palatability Test of Fermented Feed from Home Industry Waste as Alternative Feed in KUB Chickens
Classification of Orchid Types using Random Forest Method with HOG Features
Orchids are one of the Indonesian people's most widely cultivated ornamental plants. Orchids are a family of plants in the Orchidaceae family that includes more than 700 genera and around 28,000 individual species. In terms of plant morphology, orchids can be distinguished based on the morphology of flowers, leaves, fruits, stems, and roots. Orchid leaves have their characteristics for each type of orchid, such as long, round, or lanceolate. All orchids have leaf veins that are parallel to the leaves. This makes it difficult to identify the type of orchid flower, especially for laypeopl e who are new to orchid cultivation and do not yet know the characteristics of various kinds of orchids. The individual shapes of orchid leaves can be classified using Random Forest and Histogram of Oriented Gradients (HOG). In this study, three types of orchids that are currently popular with orchid lovers were used, namely Cattleya, Phalaenopsis, and Vanda orchids taken from public data. The accuracy of this method in classifying orchid types based on leaf morphology can be measured using a confusion matrix that measures accuracy, precision, recall, and F1-score. The test results show that this method successfully achieved an accuracy of 98%, with an average precision, recall, and F1-score of 0.98 each. These findings indicate that the model built can classify orchid species with a high level of accuracy based on leaf morphology.
Factors Influencing Mobile Banking Usage and Its Impact on Consumptive Behavior
This study aims to examine the effect of mobile banking usage on the consumptive behavior via intervening variable the use of mobile banking. This research method is quantitative with data collection techniques using survey techniques using questionnaires. The sampling technique uses a purposive sampling technique. The research sample was 145 mobile banking apps users from five universities students in Batam City. The results also show that the completeness of the feature, service quality, trust, social influence has a positive effect on consumptive behavior.
Utilization of Construction Concrete Waste as Aggregate Substitutes in Normal Concrete Production
The construction process frequently necessitates the demolition of existing structures, resulting in substantial construction waste. A significant portion of this waste comprises demolition debris, particularly from concrete building materials. This research aims to develop standard concrete by partially substituting conventional coarse and fine aggregates with concrete waste materials. The substitutions involved replacing 25% and 50% of sand and gravel, respectively, by weight, using a K300 concrete mix design. Adopting the SNI 03-2834-2000 method, the mix design for 1 cubic meter of concrete comprised cement (528 kg), sand (776.16 kg), gravel (807.04 kg), and water (205 kg). The results indicated an average sample weight reduction, with the first sample at 12.91 kg, the second at 12.79 kg, and the third at 12.77 kg. This weight decrease suggests that using waste as a partial aggregate substitute impacts concrete density. Compressive strength tests revealed a reduction of 5.98% in the concrete containing a 25% waste mixture, with average compressive strength declining from 307.22 kg/cm² to 288.94 kg/cm². A more pronounced reduction occurred in the 50% waste mixture, where compressive strength decreased by 15.70% (from 307.22 kg/cm² to 259.06 kg/cm²). This trend aligns with the understanding that higher waste content correlates with greater mechanical strength reduction, likely due to the differing physical properties of waste materials, such as lower density, which impact overall concrete performance, particularly in compressive strength.
The Impact of Implementing Digital Marketing and Branding on Increasing Sales and Competitive Advantage of MSMEs (Case Study of MSMEs Fostered by PT. PHR)
This study aims to analyze the effect of digital marketing and branding implementation on increasing sales and competitive advantage in MSMEs fostered by PT. PHR in Riau. Digital marketing includes the use of various online platforms for promotion, while branding focuses on building a positive image and brand loyalty. The method used is quantitative research with multiple linear regression analysis techniques processed using SPSS 29 software. The results of the study show that branding has a more significant effect on increasing sales (62.8%) and competitive advantage (113.7%) compared to digital marketing, which only contributed 13% and 22.3% respectively. Prerequisite tests including normality, heteroscedasticity, and linearity tests show that the data used meets the criteria for statistical analysis. The main conclusion of this study is that MSMEs who want to increase their competitiveness in the digital era need to prioritize the development of branding strategies, although digital marketing remains an important component. This study provides practical implications for MSMEs in utilizing digital technology to improve their business performance.
Weather Forecasting Using Neural Networks with Backpropagation and ADAM Optimizer for city of Lhokseumawe
Weather forecasting in Lhokseumawe is crucial due to its diverse climate and impact on community activities. It serves as an operational responsibility of the Meteorology, Climatology and Geophysics Agency (BMKG) worldwide. The method of forecasting currently employed by the BMKG involves meteorological teams observing and analyzing statistics based on principles of mechanics and physics. Artificial Neural Networks (ANN) can be utilized to forecast long-term weather conditions, with the backpropagation algorithm being an ANN algorithm employed for short-term weather prediction. This involves training the backpropagation architecture data, which includes an input layer with a size of 6 using Relu activation, one hidden layer with a size of 64 using Relu activation, and an output layer with a size of 3 using softmax activation. We also apply the ADAM optimizer, loss sparse categorical crossentropy, and accuracy metrics. However, the backpropagation algorithm displays weaknesses, including slow convergence, overfitting, and susceptibility to local minima, which can be addressed by utilizing the ADAM optimization algorithm. The research utilizes Artificial Neural Network (ANN) with the backpropagation algorithm and ADAM optimization to predict weather conditions in Lhokseumawe City with high accuracy. The research methods comprise of data collection, preprocessing, division, model building, and evaluation. The study outcomes present the weather conditions as sunny, cloudy, or rainy with an algorithm accuracy of 72%.
Measurement of Supply Chain Management Performance with the Supply Chain Operating References (SCOR) Method at PT. XYZ
Amidst the competition of manufacturing industry in Batam City, every company must have a strategy to create effective and efficient supply chain performance. PT XYZ is a manufacturing company that produces lift- ing/transporting equipment based on customer requests. This research aims to provide performance indicators (KPIs) for each supply chain process and provide performance measurement of supply chain management performance at PT XYZ which will be followed by improvement recommendations to improve performance. Performance measurement is using the SCOR method from filling out a questionnaire which is then validated and then calculated the weighting value using AHP and normalization using the SNORM de Boer method for the final result of supply chain performance. The results of the assessment of the supply chain performance of PT XYZ are rated in the Average category. In order for the supply chain management performance to be optimal, it is necessary to improve and improvise supply chain management by conducting detailed demand analysis, improving inventory management, and streamlining the flow of information on receiving customer returns.
The Effect Of Crude Extract Green Mussel (Perna viridis) With Intramuscular Injection In Promoting Pangas Catfish (Pangasius hypothalamus) Gonadal Maturation
The management of broodstock is a crucial step in the fish breeding process. The size of the body and gonadal maturity are significant aspects of broodstock quality in aquaculture. To produce high-quality fish, the brood needs to possess fully grown gonads and an ideal body size. According to several studies, green mussel extract is thought to stimulate zebrafish growth and gonad maturation caused by estradiol compounds, although further testing on other fish, such as the Pangasius hypothalamus, has not yet been done. This research aims to evaluate the effect of administering crude green mussel extract containing estradiol compound via intramuscular injection on the growth and maturation of pangas catfish gonads. The pangas catfish broodstock was treated with an injection of green mussel extract and ovaprim at a dose of 0.5 mg/broodstock with three repetitions over a 30-day maintenance period. The results show that the administration of green mussel extract at a dose of 0.5 mL/kg increases weight growth. The homogeneity level of eggs in female pangas catfish induced with green mussel extract is the same diameter as induction with ovaprim and slightly different from the control specimen (without treatment). The results show that the crude extract of green mussels in the methanol fraction, at a dose of 0.5 mL/kg, can increase growth and egg diameter.
Implementation Of E-Payment And The Influence On Service Levels And Internal Business Processes Of MSMEs In Bandar Lampung
The objective of this research is to find out how e-payment is implemented in MSMEs in Bandar Lampung City, and how the application of e-payment affects MSME services in Bandar Lampung City, as well as how the effect of implementing e-payment on the internal business processes of MSMEs in Bandar City Lampung. The type of data used in this research is primary data, namely interviews with MSME owners in Bandar Lampung City, Lampung, which is the population in this research. The focus of this research is to find out how e-payment is implemented and its impact on the level of service and internal business processes of MSMEs. The analytical method used is simple regresion. The results of the study indicate that the application of e-payment has a positive effect on the level of service, but it does not affect the internal business processes of SMEs in Bandar Lampung City.
Fabrication of a Canoe Hull with a Capacity of 6 People as a Means of Transportation in Swamp Waters in the Bagan Benio Area
The water transportation route from Bagan Benio Hamlet, Tasik Serai Village, Talang Muandau District, Bengkalis Regency to Tarik Serai Village is via a small river which is very dependent on tidal conditions. Therefore, the hull shape that is suitable for this area is a flat hull model. In this research, a canoe hull design has been made with dimensions LoA = 5.5 m, B = 1 m, H = 0.35 m and T = 0.15 m with a passenger capacity of 6 people. The material used is mangrove meranti wood. To strengthen and prevent water seepage, the outer hull is coated with fiberglass material. The fabrication process begins with forming the shape of the canoe body in accordance with the position of the tusks which are 0.5 m apart. After the body frame is formed according to the plan drawing, the next step is to install the bottom and side slab boards and provide jelcot between the boards to prevent leaks at the joints. After the hull is closed, the next step is to laminate the outer hull with a layer of Matt and Woven Roving which is evenly moistened with resin. Between the Matt and Woven Roving layers, threaded nails are provided to strengthen the stickiness of the wood to the fiberglass layer. After the bottom has been finished and finished, the boat body is turned over and the interior and seating facilities for passengers are completed.
Case Study on The Feasibility of The English Study Program at Politeknik Negeri Bengkalis and Industry Interest in Its Graduates.
This study aims to analyze the feasibility of the English Diploma Program at Bengkalis State Polytechnic and the interest of the industry towards its graduates. The research idea stems from the phenomenon and issue of a significant decline in student enrollment over the past five years. Data collection techniques include observation, in-depth interviews, questionnaires, and documentation. The respondents for this research are students of the English Diploma Program, alumni, lecturers, leaders, and industry practitioners related to the research problem. Data analysis was carried out using content analysis, which involves examining the collaboration of all collected data, interpreting it, drawing conclusions, verifying the facts found, and narrating the results. This research shows that the English Program at Bengkalis State Polytechnic has adequate facilities, but improvements are needed in technology access and industry connections. Students are generally satisfied with the quality of teaching and the relevance of the curriculum, although more practical opportunities and stronger industry links are expected. Alumni find the graduates satisfactory, but there is a need to enhance soft skills, technological skills, and work experience. To face the challenges of modern industries, curriculum improvements, practical skills development, and industry collaboration are necessary. However, the interview results show that the majority of alumni agree that the English Diploma 3 Program should be discontinued to make way for the development of the Applied Bachelor's Degree (D4) Program.
Entrepreneurial Experience for Entrepreneurial Success in Ethnic Minang Entrepreneurs Indonesia
This study aims to find out how the influence of entrepreneurial experience on the success of ethnic Minang entrepreneurs. The people of West Sumatra live an entrepreneurial life and are famous for the Minang ethnicity and almost 34 percent of them live migratory as entrepreneurs in all regions in Indonesia. This study uses a quantitative approach using 150 samples, namely Minang ethnic entrepreneurs who have been entrepreneurs for at least 5 years. Data processing using SEM with PLS. The results of the study show that there is a significant influence between entrepreneurial experience and the success of ethnic Minang entrepreneurs.
The Impact of an Anti-Weight Loss Booster with Ascorbic Acid and GABA on Thin-Tailed Sheep Following Transportation
This study investigates the effects of ascorbic acid and gamma-aminobutyric acid (GABA) supplementation on the physiological responses of thin-tailed sheep subjected to transportation stress. The research was conducted in Lakaran Village, Wonosobo District, Tanggamus, Lampung, involving 20 male thin-tailed sheep divided into four treatment groups: control (R0), ascorbic acid 100 mg/kg (R1), GABA 0.3 g/head (R2), and a combination of ascorbic acid 100 mg/kg + GABA 0.3 g/head (R3). The results indicate that the combination of ascorbic acid and GABA (R3) significantly reduced body weight loss, demonstrating a synergistic effect in alleviating stress compared to single or no supplementation. The respiratory rates in the supplemented groups (R1, R2, R3) showed better stabilization than the control group, with R3 approaching normal levels. Although all treatment groups exhibited increased heart rates and rectal temperatures due to the stressful transport environment, the combination approach proved to be more effective in managing stress. Overall, this study highlights the potential of ascorbic acid and GABA as suplement strategies to enhance livestock welfare during transportation, contributing to better farming practices.
Designing a Workplace Health Model for Creative Industry Employees in Tourism Villages: A Grounded Theory Approach”
Tourism villages are one of the fastest growing sectors in the creative industry. Healthy workplace conditions are essential to support employees in generating innovation and creativity. However, workplace health in this sector is often neglected. This research aims to design a workplace wellness model suitable for creative industry employees in tourist villages, using a Grounded Theory approach. The method involved in-depth interviews with 20 employees and 2 managers from a pilot tourist village. Data were analyzed through open, axial, and selective coding stages to identify factors affecting occupational health. The results revealed that lack of government regulation and supervision, high work pressure, and lack of health facilities are some of the main challenges faced by employees. In addition, low managerial support for employee health also worsened workplace conditions. Based on these findings, the proposed workplace health model is the socialization and education of existing OSH regulations, establishing partnerships with OSH institutions or external parties, managing work stress, and providing better health facilities. This model is expected to improve the physical and mental well-being of employees, while encouraging productivity and work quality in the creative industry sector of tourist villages. The main suggestion from this research is the importance of more attention from the management of tourist villages in implementing a comprehensive occupational health policy to create a healthier work environment and support innovation.
The Influence of Brand Awareness and Brand Attitude on Purchase Intention of Riau Malay Woven Products “Puteri Mas” in Bengkalis City
The purpose of this study is to examine the influence of brand awareness and brand attitude on purchase intention towards Riau Malay woven products "Puteri Mas" in Bengkalis Regency. Specifically, this research aims to determine whether brand awareness and brand attitude have a positive and significant effect on purchase intention. A quantitative approach with a descriptive method was employed, where the research is systematic, planned, and structured from the initial stage to the research design. Data were collected through field surveys using observations, questionnaires, interviews, library research, and documentation. The results from regression analysis show that brand awareness has a positive and significant effect on consumer purchase intention with a coefficient of 0.369 and a significance value of 0.032, while brand attitude also has a positive and significant effect with a coefficient of 0.654 and a significance value of 0.001. Additionally, t-test results confirm the significant impact of both brand awareness and brand attitude on consumer purchase intention, as indicated by t-values greater than the critical t-table values. Therefore, brand awareness and brand attitude are crucial factors in influencing the purchase intention of "Puteri Mas" products in Bengkalis City
Analysis Business Development to Improvement Micro, Small and Medium Enterprises Income in Lhokseumawe , Aceh
This study aims are to analyze influence development business , such as capital, location of business and innovation to improvement income of participating MSMEs in the SMEs Sunday Festival in Lhokseumawe City . This Research use quantitative method analysis with Structural Equation Modeling (SEM) using approach based on Partial Least Square (PLS). Research sample consists of 177 MSMEs on Sunday Lhokseumawe City Festival . Data collection techniques were carried out with purposive sampling method with sample that meets the requirements criteria certain. Research results show that indicators development business own significant influence​ to improvement SMEs income Except for the business location variable, all tested variables provide impact for development of MSMEs in Lhokseumawe City. The findings from study this expected can support effort sustainable and effective development of MSMEs in Lhokseumawe City , with focus on optimization factors that influence business success.
Climate Control Efforts that Impact Flood Disasters in the Lampung
The imbalance between the current availability of water resources and the need for water is an important problem in almost all regions in Indonesia, so that it requires a conception of the engineering and operation of existing facilities. control and utilization of water as well as management carried out efficiently and effectively in order to meet various needs. As an effort to avoid conflicts of interest, an engineering management of dam operations is needed. This raises the idea of ​​the need for water management engineering existing reservoirs. Based on reservoir water inflow and outflow data from 2019 to 2022, optimization was carried out on the Minimum Demand Analysis (Firm Yield Analysis) and Maximum Analysis of Reservoir Water Release using the Non-Linear Generalized Reduced Gradient (GRG) Method. Inflow and outflow data iterations as a function of objectives and constraints Minimize Reservoir Capacity and Amount of water storage in the reservoir = Inflow, and demand at the Way Sekampung Dam = Outflow obtained by Firm Yield Analysis of 335.62 Million M3 or 335 MCM. Thus, it can be concluded that the effective storage volume that can be allocated for irrigation is located between the minimum reservoir elevation at +250 m and the maximum elevation at +255 m. The results of the volume interpolation of the optimization results obtained with an elevation elevation of + 253.74 m, as well as the optimization results for the total release of reservoir water at 281 MCM, so that the management of water resources can then become a benchmark in the distribution of irrigation water, raw water, hydropower and water conservation. continuously
Technical Efficiency Analysis of Non-Chemical Pesticide Rice Farming in Rejoasri Village, Seputih Raman District
Rejoasri Village, Seputih Raman District, is one of the villages that implements sustainable agricultural practices, namely non-chemical pesticide rice farming that produces rice free of chemical pesticide residue "Berasera". The problem faced in farming is the low productivity of paddy fields so that the level of technical efficiency of rice farming is also low. This will cause economic sustainability to also be low. The objectives of this study are (1) Analyze the factors that affect the production of non-chemical pesticide paddy paddy farming, (2) Analyze the level of technical efficiency of non-chemical pesticide paddy paddy farming, and (3) Analyze the determinants of in-efficiency of non-chemical pesticide paddy paddy farming in Seputih Raman District, Central Lampung Regency. This research will be carried out in Rejoasri Village, Seputih Raman District, Central Lampung Regency. The research sample was taken as many as 30 people. The research data will be analyzed in a qualitative and quantitative descriptive manner. The data will be tabulated, analyzed mathematically, and analyzed statistically according to the research objectives. Itwill be processed using a computer using frontier software version 4.1. The first, second, and third research objectives were analyzed using the stochastic frontier production function approach. The technical efficiency for a farmer ranges from zero to one or the Technical Efficiency (TEi) value is 0 ≤ TEi ≤ 1. The results showed that the factors that had a significant effect on the production of non-chemical pesticide rice were the area of agricultural land (X1), organic fertilizer (X4), and vegetable pesticides (X5), while the factors that did not have a significant effect on the production of non-chemical pesticide rice were the Seed variable (X2), the inorganic fertilizer variable (X3), and the rice farming labor variable (X6). The average value of technical efficiency of non-chemical pesticide rice production in the region is 0.8737, which means that the cultivation of non-chemical pesticide rice has been efficient, because the technical efficiency value is with an average of > 0.7000. There are 86.6667% of farmers who have achieved technical efficiency, and as many as 13.3333% of farmers have not achieved technical efficiency in the non-chemical pesticide rice business. Significant factors affecting the technical inefficiency of non-chemical pesticide rice farming are age, education, and experience in non-chemical pesticide rice farming.