This research focuses on the development of an Android-based vegetable detection application by utilizing digital image processing technology and data communication through Application Programming Interface (API). This application is designed to make it easier for users to visually recognize different types of vegetables using the device's camera. The detection process is carried out by sending the image to a cloud server, where the image analysis process is carried out to identify the type of vegetable, displaying its name, characteristics, and benefits. The app's implementation includes an intuitive and user-friendly user interface, with key features such as login, registration, and an interactive dashboard. The dashboard displays user information, location, ambient temperature, vegetable detection history, and direct access to the camera for real-time detection processes. The utilization of cloud computing technology not only keeps application performance lightweight and responsive, but also enables high processing efficiency and data scalability. This allows the application to continue to evolve according to the increasing number of users and incoming data. Image processing is done with machine learning algorithms that are trained to recognize the shape, color, and texture of different types of local vegetables. In addition, this system is also equipped with a periodic data update feature to be able to adjust to the development of new vegetable classifications. The test results show that the app is able to recognize different types of vegetables with a high level of accuracy, as well as provide additional relevant information quickly and accurately. Tests are carried out on a variety of lighting and background conditions to ensure the reliability of the system. The success of the development of this application reflects the integration of modern technology in supporting the digital agriculture sector.

The Paiton Steam Power Plant (PLTU) is one of the main sources of electrical energy in East Java, which plays a vital role in maintaining a sustainable electricity supply. The reliability of generator units is a key element in maintaining stable energy distribution. However, the high frequency of sudden generator failures poses serious challenges, such as increased downtime and increased maintenance costs. To address these challenges, this study aims to design a generator maintenance prediction model based on the Naive Bayes algorithm with a predictive maintenance approach. This study uses historical maintenance data and key sensor parameters such as temperature, oil pressure, and vibration as input. The data is analyzed through several stages, namely data preprocessing, selection of relevant features, and labeling generator conditions into three categories: Normal, Warning, and Critical. The Naive Bayes model is trained to classify the data probabilistically to generate predictions of future generator conditions. Model evaluation using accuracy metrics and a confusion matrix shows that the model successfully achieved an accuracy rate of 89% and was able to provide early warnings of potential failures up to 3 days before failure occurs. The implementation of this system is expected to support the shift in maintenance strategies from reactive and scheduled systems to data-driven predictive systems. Implementing failure predictions allows the technical team at the Paiton PLTU to conduct planned maintenance, avoid sudden disruptions, and extend equipment lifespan. Thus, this model has the potential to reduce operational downtime by up to 25%, while providing significant savings in operational and logistics costs. This research also shows that integrating machine learning technology into energy facility management can improve the efficiency and resilience of the overall electric power system.

Suminagashi is a technique for decorating fabric or paper by dropping ink or paint onto the surface of water or a water-gelmixture, then placing the fabric or paper on the liquid so that the color is absorbed. The study aims to examine the effect of increasing water volume in acrilylic paint on the color quality of the suminagashi technique appiled too polyester scraves, specifially in terms of color sharpness and color absorption. Additionally, it investigates the variations in color outcomes across different water-to-point ratios. An experimental method was employed using three paint-to-water ratios 1:1, 1:2, and 1:3. Color quality was evaluated through observations by 30 respondents and analyzed using the Kruskal-Wallis H test with SPSS version 30. The result indicate that the volume of water in the acrylic paint mixture significantly influences color quality. The 1:1 ratio produced the higest color sharpness, while the 1:3 ratio showed the best color absroption. Distinct color differences were observed among the scarves produced with each ratio.

The increasing reliance on information technology (IT) across various sectors has led to the growing importance of managing IT risks effectively. Information technology systems are prone to a variety of risks, including cybersecurity threats, system failures, and human errors. These risks can have severe consequences, such as financial loss, data breaches, and operational disruptions. To address these challenges, organizations must adopt comprehensive risk management strategies. This literature-based study explores various approaches and frameworks for managing IT risks, such as ISO 27001, NIST, and OCTAVE, by reviewing existing research and methodologies. The study aims to identify best practices, challenges, and trends in the field of IT risk management, offering insights into how organizations can improve their risk management strategies to enhance the resilience of their IT systems. Through this literature review, the paper highlights the importance of a systematic approach to IT risk management and provides recommendations for organizations seeking to mitigate risks and safeguard their technological.

The research with the title Application of Fire and Gas Detection Systems takes place at the North Field Expansion Project (NFXP). The methods used are direct observation, interviews, simulations and literature studies. The objectives of the study were to determine the application of fire and gas detection systems, and  to determine the challenges in the application of fire and gas detection systems in the North Field Expansion Project (NFXP). The results obtained  show that the Fire and Gas Detection System implemented at NFXP is in compliance with international safety standards, and the system is able to detect fire threats and gas leaks with high efficiency through advanced detector technology, automatic response, and integration with other safety systems such as IPS and HVAC. The effectiveness of the system is reflected in the ability to detect threats in less than 5 seconds, with detection coverage that meets the target of 90% by one detector and 85% by two or more detectors. The main challenges in the implementation of fire and gas detection systems include extreme environmental conditions, such as corrosion due to exposure to seawater and high temperatures, and false alarms that reach around 15%. Another obstacle is the lack of technical training for personnel in operating and maintaining the system.

This research develops a prototype of an automatic watering device based on the Internet of Things (IoT) and a soil moisture sensor to improve the efficiency of watering crops in agricultural fields. The main problem addressed is the consistency and efficiency of watering in large agricultural fields, where traditional management is prone to human error and inefficient water use. The developed prototype uses an ESP8266 microcontroller (NodeMCU) as the brain of the system connected to a Wi-Fi network, allowing remote monitoring and control via the Blynk application. A soil moisture sensor is used to detect soil conditions in real-time, triggering watering only when needed. This helps optimize water use and increase agricultural productivity sustainably. This research outlines the methodological steps from design, manufacturing, to implementation of the prototype in the field. Evaluation of the results shows that the system successfully regulates watering effectively based on soil conditions, with positive responses from farmers as end users.

Extreme climate change in Indonesia, caused by air pollution from the use of fossil energy, has encouraged the development of renewable energy technology, including Wind Power Plants (PLTB). This technology is increasingly important for providing clean energy, especially in the maritime industry. The aim of this applied scientific work is to provide a battery charging solution when the emergency battery charger charging system on commercial ships experiences problems. To make it easier to monitor the power produced by wind power plants and also battery capacity via a smartphone application in real time. The method used in this applied scientific research research is experimental. The results of calculating the average power during testing at night show an average power of 10.22 Watt/min and an average current of 0.78 A. So it can be concluded that battery charging takes 11.53 hours. Meanwhile, the results of calculating the average power during testing during the day show an average power of 13.41 Watt/min and an average current of 1.02 A. So it can be concluded that charging the battery lasts for 8.82 hours. From the two data obtained, it can be concluded that charging is optimal during the day because the efficient charging time is 8.82 hours.

Methane gas detection is crucial in the oil and gas sector to enhance safety and operational efficiency. This study examines the impact of three types of gas detectors—catalytic, infrared, and ultrasonic sensors—on accuracy and response time. The research was conducted at PT PHM's onshore and offshore sites to evaluate sensor performance in operational environments. A quantitative approach with direct field observation was used. Data were collected by measuring methane gas concentrations indicated by detectors, which were then compared to standard gas concentrations. Response times were recorded when the detectors were exposed to methane concentrations of 2.5% LEL until the alarm triggered at 40% of full scale. Data analysis was performed using descriptive statistics, homogeneity test, normality test, ANOVA, and post hoc tests. The results show that the infrared detector had a response time of 2.87 seconds with an accuracy of 0.218%. The catalytic detector had a response time of 8.91 seconds and accuracy of 0.489% and the ultrasonic detector had a response time of 6.15 seconds and accuracy of 0.842%. Overall, the infrared detector demonstrated the best performance in response time and is recommended for use at PT PHM.

In global competition, companies must be able to set competitive selling prices. Production cost components such as raw material costs, direct labor costs, and factory overhead costs are all included in the cost of goods manufactured. This study analyzes the COGS with Job Order Costing at PT. XYZ, a make-to-order company. The study was conducted by comparing COGS with Job Order Costing between Box Roller Conveyor and Bag Stop & Go Belt Conveyor as well as material usage and outsourcing. The results of the study indicate that Job Order Costing at PT.XYZ accurately traces the contribution of material costs and outsourcing to total production costs, and evaluates efficiency and cost control on each project with different characteristics. The use of Job Order Costing shows that Bag Stop & Go Belt Conveyor has a higher COGS of Rp299,655,813 than the COGS of Box Roller Conveyor of only Rp209,740,142. The cost structure shows that outsourcing is the most dominant component, reaching more than 98% of HPP on Bag Stop & Go Belt Conveyor, while raw material costs contribute less than 3%, so it can be concluded that the outsourcing vendor management strategy greatly affects the efficiency of production costs at PT. XYZ.

The development of a potential sector cannot be separated from the relationship between stakeholders and economic actors in the region. Because, in essence, the development of potential sectors is carried out by village communities who work together with policy makers at both the village and district levels to provide guidance, direction, coaching and supervision to the community so that they can help in efforts to raise the community's standard of living (Fatmawati et al., 2020).
 

This study aims to develop an accurate predictive model for identifying students at risk of academic dropout using Decision Tree and Random Forest algorithms. The research utilizes a publicly available dataset sourced from Kaggle, which includes academic and demographic features such as GPA, attendance, credit load, financial aid status, and exam scores. The methodology involves several stages: data collection, preprocessing (handling missing values, encoding categorical variables, and feature scaling), model training, and evaluation using performance metrics such as Accuracy, Precision, Recall, F1-Score, and Confusion Matrix. Results show that the Random Forest algorithm outperforms Decision Tree in terms of accuracy and robustness, with notable feature importance on math, reading, and writing scores. The findings highlight the potential of machine learning in early detection of dropout risks and provide actionable insights for academic institutions to design timely interventions. This research contributes to the growing field of educational data mining and supports data-driven decision-making processes in higher education management.

The rapid growth of RT/RW Net-based internet services among the community has driven the need for an integrated, efficient, and easy-to-use billing system. The self-help RT/RW Net model often faces challenges in terms of administrative management, especially related to customer recording, billing, and financial reporting which are still done manually. Common problems faced by partners are payment systems that have not been digitized and minimal transparency in data collection and tracking of customer transactions. The purpose of this activity is to design and implement a web-based billing application built using the Laravel framework. This application is designed to facilitate the process of managing customer bills, monitoring internet service usage, and preparing financial reports automatically and in a structured manner. The method of implementing the activity includes the system design stage, training partners in using the application, and assistance in direct implementation in the RT/RW Net operational environment. The results of the activity show that the developed system has succeeded in automating most of the billing process and increasing the efficiency of administrative management by up to 80%. In addition, this system also has a positive impact on increasing transparency and accuracy of customer data. Suggestions for further development include the addition of automatic payment features through integration with payment gateways, as well as improving the user interface to make it more responsive and user-friendly.

The rapid advancement of information technology demands that the younger generation possess adequate digital literacy from an early age. This study aims to evaluate the effectiveness of a community service activity focused on educating junior high school students at SMP Ma’arif NU 1 Purwokerto about computer systems and computer networks. The research employed a descriptive qualitative approach with data collection techniques including observation, semi-structured interviews, documentation, as well as pre-tests and post-tests. The activity involved students from classes 9A, 9B, and 9C, who participated in interactive learning sessions covering basic materials on computer systems, computer networks, and digital safety. The results indicate an increase in students' understanding of information technology concepts, as reflected by improved comprehension scores and positive responses toward the program. Students demonstrated high enthusiasm, actively engaged in discussions, and were able to explain the material presented. These findings suggest that an educational approach based on hands-on practice is effective in enhancing digital literacy among students. The implication of this activity highlights the importance of continuous technology education at the basic education level to prepare the younger generation for the challenges of the digital era and to encourage their active contribution to a technology-based society.

Adoption of melon (Cucumis Melo L.) cultivation innovation plays an important role in increasing productivity and efficiency. This study discusses the application of innovation adoption in melon plants with greenhouse technology, hydroponics, modern irrigation technology, post-harvest processing mechanisms for breeding. This literature review uses the Systematic Literature Review (SLR) method to compare National Journals and International Journals that are relevant to Innovation Adoption. The use of the Internet of Things (IoT) allows automatic monitoring of environmental conditions. Technology in melon cultivation has a significant impact on agricultural productivity and efficiency. In the hydroponic system of soilless cultivation in limited land conditions, each innovation has challenges in its implementation, such as high investment costs, the need for training for farmers, and limited access to certain technologies
 

Accurate sales forecasting is essential for stakeholders to make strategic decisions. This study aims to compare the performance of two deep learning models, namely Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN), in forecasting domestic motorcycle sales produced by AISI member manufacturers. The forecast is based on historical data from January 2021 to December 2024. The model was trained using time series data and the forecasting results for the period January to March 2025 were evaluated using the metrics Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). The results show that the LSTM model produces lower MAE and MAPE values than CNN, which shows its superiority in providing more accurate and consistent predictions. On the other hand, the CNN model has lower RMSE and MSE values, thus being able to reduce large prediction errors. By comparing the results of LSTM, CNN, and actual data forecasting, the LSTM model is more suitable for forecasting motorcycle sales in Indonesia

Smoke hazards can result in poisoning of harmful gases produced by the welding process. So it is expected that in order to maintain air cleanliness in the welding workshop by installing an exhaust gas channel from welding, the purpose of this research is to analyse the flow of exhaust gas through simulation of fluid flow velocity (welding smoke) in the design of exhaust gas installation in the welding workshop using CFD or Computational Fluid Dynamics method. CFD simulation can predict in detail the movement of wind (moving fluid) in the welding fume exhaust duct. CFD simulation is carried out through three stages, namely pre-processing, solving, and post-processing. This CFD uses the Solidworks (Flow Simulation) application programme. It was found that the installation of a welding fume exhaust duct with an output capacity of 39 m³ per minute showed a significant increase in airflow velocity. The first simulation results at the exhaust fan (welding booth) showed a maximum velocity value of 13.14 m/s and an average velocity of 10.55 m/s, the Reynold's number was 84567.11. In the second simulation, with the axial fan (Fan stationary) at 2600 RPM and pipe diameter 127 mm, better results were obtained, namely minimum velocity of 12.88 m/s, average velocity 13.94 m/s, maximum velocity 14.53 m/s and Reynold's number 111512.74. So the simulation results show an improvement in the performance of the ventilation system, where the airflow velocity is quite good, which ensures the efficiency of the ventilation system.

Various styles of decorative lights and forms of lighting will greatly influence the exoticism of the outside of the building, the presence of garden lights can be an option to create romance. Garden lights are an important element in creating an atmosphere that is not only beautiful, beautiful, but also full of high aesthetic value. Basically, garden lights not only play an important part in providing garden light or help provide lighting when walking in the garden at night and also provide a different atmosphere, especially adding lots of light points so that the spotlight will give a unique light image, thereby creating an atmosphere. around the park becomes beautiful and safe. Technological advances are increasingly rapid, making human life easier and more practical, one of these technological advances is microcontroller technology. The use of microcontrollers has recently expanded to all fields, its use is not only in the field of computers, but has also been used in other electronic equipment, for example devices that we see every day, such as cell phones, televisions, washing machines and even all the way to space instruments. The microcontroller itself is an electronic component which, when given input data, processes the input data, and then produces output from the processed data so that it can turn on the output on the microcontroller connected to the garden lamp.
 

Worldwide trade is conducted 80% through maritime routes, including the export and import of coal. Coal is a non-renewable energy source, often used as fuel for power plants. As technology advances, detecting metal contaminants in coal cargo becomes crucial to prevent contamination of coal with metal materials. This study aims to (1) understand the operation of a conveyor in transporting coal, and (2) assess how the Proximity inductive sensor detects metal presence. The methods used in this research include real data analysis and literature review, conducted aboard the ship. The researcher designed and developed a prototype system for this purpose. The Proximity inductive sensor is utilized to detect metal contaminants, such as aluminum, iron, and stainless steel, among the coal cargo. The research was carried out during sea practice (prola) aboard the WHS ISKANDAR 1. The findings indicate that the conveyor is driven by a DC motor, and the Proximity inductive sensor effectively detects metals to separate them from the coal cargo, thus purifying the coal from metal contaminants.

This research aims to design a Solar Power System (PLTS) for households that can meet an energy demand of 4.5 kWh per day. The system design takes into account the efficiency of solar panels and the average solar radiation potential in Semarang, which is around 5 hours per day. The method used in this research involves calculating the required solar panel capacity based on the daily energy needs of the household, panel efficiency, and solar radiation hours. The calculation results show that the required PLTS capacity is 1125 Wp, which is then designed using 4 solar panels with a capacity of 300 Wp each. This system is expected to allow households to meet their energy needs independently and sustainably. The implication of this research is to provide an alternative solution for households in reducing their dependence on conventional energy sources, while contributing to the effort to reduce greenhouse gas emissions.

The detection of hazardous gases, such as carbon monoxide (CO), is crucial for ensuring human safety and health, especially in enclosed environments or areas with a high potential for exposure to toxic gases. Carbon monoxide is a colorless, odorless gas that is extremely dangerous when inhaled in large amounts. Therefore, a CO detection system that can provide early warnings is essential. This research aims to design a carbon monoxide (CO) detector using the MQ-7 sensor, which can detect CO concentrations in the air. The detection system is developed based on Internet of Things (IoT) technology, enabling real-time CO detection data to be transmitted to a cloud platform or user devices via an internet connection. This allows users to monitor CO levels in their environment anytime and anywhere. The system consists of the MQ-7 sensor to detect CO levels, a microcontroller as the controller, and a communication module to send data to the internet. The main advantage of this system is its ability to notify users if CO levels exceed a safe threshold. Thus, this detector can function as a preventive tool against CO exposure accidents. The use of IoT in this system also facilitates remote monitoring, improving the effectiveness and efficiency of managing a safe environment.

Rapid development and population growth in urban areas have caused various problems, one of which is the decreasing availability of clean water. This has an impact on the agricultural and fisheries sectors which are highly dependent on good water quality. As an alternative to overcome this problem, the aquaponic system offers a solution by combining fish and plant cultivation in one efficient water recirculation system. However, the quality and productivity of the aquaponic system are highly dependent on good management, which requires proper monitoring and control of environmental conditions such as temperature, pH, humidity, and water quality. This study aims to design and build a Node-RED-based aquaponic monitoring and control system. This system uses various sensors to monitor environmental conditions and provide automatic control of parameters that affect plant and fish growth. By using Node-RED as a platform for sensor and control integration, this system is expected to provide an efficient and affordable solution to increase the productivity of the aquaponic system. The results of the study show that the designed tool can carry out effective monitoring and control of parameters that affect the aquaponic system, and can be accessed in real-time to facilitate system management and supervision.

The evolution of computer architecture has given rise to two main approaches: RISC (Reduced Instruction Set Computer) and CISC (Complex Instruction Set Computer). These architectures differ significantly in terms of instruction design, efficiency, and performance. This study aims to analyze the performance and efficiency of RISC and CISC in the context of computer architecture organization. The methodology includes a literature review, comparative analysis, and performance evaluation based on parameters such as processing speed, power consumption, and design complexity. The results indicate that RISC tends to be more efficient in terms of power consumption and execution speed for simple instructions, while CISC excels in handling complex instructions with fewer lines of code. The findings of this study can serve as a reference for the development of modern computer architectures that balance performance and efficiency.

The determination of outstanding students is based on different criteria, depending on the type of achievement that is to be measured. At SMK Migas Cepu, this assessment is typically based on the highest academic score from the class promotion exam. However, this method is considered less accurate and problematic in terms of grouping students. To address this issue, a clustering method using the K-Means algorithm can be applied. The purpose of this research is to build a K-Means model to determine outstanding students. The data used in this study comes from the report card ledger of class XI Machine A and B for the year 2022, which includes 71 students at SMK Migas Cepu. The RapidMiner tool was used to build the K-Means model and cluster the data based on student characteristics. The first test conducted using Excel resulted in two clusters: 35 outstanding students and 36 non-outstanding students. Meanwhile, the second test using the RapidMiner model produced two clusters with a distribution of 26 outstanding students and 45 non-outstanding students.

This study aims to design and develop a GPS tracking system for ships integrated with Internet of Things (IoT) technology. The system enables real-time ship position monitoring via the Telegram application by utilizing ESP32, SIM800L, and GPS Neo 6M modules. The research employs an experimental method with both static and dynamic testing of hardware components such as GPS modules, SD cards, and battery performance. The test results demonstrate that the system successfully transmits accurate coordinate data to Telegram and logs the location on the SD card module. This system is expected to serve as an alternative solution to improve ship tracking security and efficiency, particularly in emergency situations or AIS signal loss.

Digital transformation through Internet of Things (IoT) in warehouse management represents a paradigmatic revolution in contemporary logistics systems. This research comprehensively explores the complexity of IoT implementation, analyzing critical factors influencing digital transformation in storage systems. Utilizing a systematic literature review methodology, the research unveils multidimensional dynamics involving complex interactions between advanced technology, organizational structures, and human resources. Findings indicate that successful IoT implementation requires a holistic approach that transcends mere technological adoption, demanding a fundamental reconstruction of business ecosystems. Key factors include top management support, sustainable infrastructure investment, human resource competency development, and innovation culture creation. The research affirms that digital transformation is not simply a technological project, but a complex strategic journey requiring long-term commitment and sustainable adaptive capabilities. Research implications provide profound insights for academics and practitioners in designing effective digital transformation strategies in warehouse management.

A conveyor is a tool with a large rubber band arranged transversely between two pulleys at a constant speed as a transporter of solid material in this case coal with the provisions of the permitted amount. Damage to the conveyor tool has a major impact on the smooth running of a coal loading and unloading process, so a coal monitoring tool was designed using an ESP32 microcontroller-based data logger. The purpose of this study is to find out how to design a coal load monitoring tool based on a data logger using the Research and Development (R&D) method type ADDIE. Using the following types of testing: static and dynamic. The research results show that the load monitoring system based on a load cell and ESP32 microcontroller demonstrates high accuracy, with a reading deviation of less than 2% from the actual weight. The system is also considered effective, as it can detect loads, adjust the hatch door angle, and transmit data to Google Spreadsheet in real-time without disruptions. Its ability to adapt to varying loads indicates that the prototype operates stably, responsively, and in accordance with the design objectives.

Vocational high schools (SMK) play an important role in preparing students for the world of work. However, student learning outcomes in the subject of Electrical Lighting Installation at SMK Negeri 5 Kota Padang are still relatively low, with an average pretest score of 57.34. This study aims to test the effectiveness of the Student Teams Achievement Division (STAD) cooperative learning model in improving student learning outcomes. The research method used was classroom action research with 32 students from class XI TITL as subjects. Data were collected through pre-tests, post-tests, and observations of student activities during learning. The results of the study indicate that the implementation of STAD successfully improved student learning outcomes significantly, with an average post-test score of 82.19 and an N-Gain Score of 0.58 (moderate category). Academic achievement also increased from 15.6% to 75%. Further analysis revealed that collaborative interactions within groups, the reward system, and active student participation were key factors contributing to the success of this method. However, challenges such as time management and low student engagement require attention. It is concluded that the STAD model is effective in improving students' learning outcomes in the subject of Electrical Lighting Installation, both in terms of cognitive aspects and social skills. Therefore, it is recommended that teachers implement STAD with proper syntax and consider developing supporting media such as digital simulations to optimize the learning process.

The aim of this study is to design a battery charging system using solar panels, integrated with an IoT-based monitoring system to improve efficiency and ease of supervision. The system utilizes the photovoltaic effect to convert solar energy into electrical energy, which is then stored in a battery through the regulation of a solar charge controller. The main components in this design include a solar panel, lead-acid battery, ESP32 microcontroller, current and voltage sensors, and the Blynk application for remote monitoring. The research method involves several stages, including the design of hardware such as solar panels, current and voltage sensors, and a step-down regulator, as well as software development using the Blynk platform and ESP32 programming. Test results show that the system is capable of achieving charging efficiencies between 89.45% and 99.57%, with optimal performance under clear weather and maximum sunlight conditions. The IoT system performs well up to a distance of 10–15 meters, with an average data transmission delay of less than 1.5 seconds. Therefore, this device proves to be effective as an independent battery charging and energy monitoring solution in locations without permanent electricity access.

With the times, cash transactions that used to use cash are now turning to credit cards. However, the increasing use of credit cards presents challenges, especially in maintaining customer loyalty. Customer churn is the loss of customers within a certain period for various reasons. Logistic Regression is a machine learning algorithm that studies the relationship between a dependent variable and several independent variables and Extreme Gradient Boosting (XGBoost) is a Gradient tree-boosting algorithm that offers out-of-core learning and sparsity awareness.The purpose of this study is to compare the performance between Logistic Regression and Extreme Gradient Boosting (XGBoost) algorithms in predicting customer churn in credit card services using evaluation metrics such as accuracy, precision, recall, and F1-score. Based on the research results, it can be concluded that XGBoost has better performance in all evaluation metrics, both in terms of precision, recall, F1-score, and accuracy. Based on the research, XGBoost shows superior performance compared to Logistic Regression in all evaluation metrics.

Telkomsel has introduced 5G technology in Padang City, evaluated through drive tests using G-Nettrack Pro software to measure Reference Signal Received Power (RSRP) and Signal to Interference plus Noise Ratio (SINR). The tests revealed RSRP values ranging from -44 dBm to -100 dBm and SINR values between -12 dB and 26 dB. While high RSRP does not always guarantee high throughput, higher SINR consistently improves throughput, with the highest throughput reaching 153,053 kbps at SINR levels between 10 and 30 dB. Modulation and Carrier Aggregation (CA) also play a significant role, with 64-QAM modulation combined with CA achieving throughput up to 31,500 kbps, compared to 6,300 kbps without CA. Although CA bandwidth decreased from 100 MHz to 50 MHz, throughput remains higher compared to 20 MHz bandwidth without CA. CA proves highly effective in enhancing throughput through larger bandwidth and more efficient modulation. Additional factors such as handover, interference, and physical and weather conditions also impact network performance. Overall, Telkomsel’s 5G network in Padang City meets the company’s Key Performance Indicators (KPI), despite some areas with suboptimal signal quality.

The library management information system for SMP Negeri 2 Solear has been successfully implemented. Purpose of creating this information system is to make it easier for members to see the list of available books and borrow books easily, namely online, and to help admin staff in managing book, member and book borrowing data. This information system has two views, namely the user page and the admin page. On the user page, users can register as library members, see available books, and can borrow the books they want. On the admin page, the admin can add, subtract and manage book data, view members' borrowing history, and can see the number of books available. This application was created using PHP and MySQL programming languages, the writing method used was System Development Life Cycle (SDLC), system design used Unified Modeling Language (UML), and system display design used Dia Diagram. It is hoped that with this information system users and admins can access the system anywhere and anytime via the internet. And users don't need to come to the library just to see the availability of the books they want to borrow. Apart from that, admin work can be lighter without taking notes manually.

The fluctuation of fuel prices (BBM) significantly impacts the national economy and public purchasing power. This study examines the dynamic relationship between fuel price adjustments, economic growth, inflation, and the socioeconomic conditions of society. The findings reveal that an increase in fuel prices often triggers a domino effect, including rising transportation and production costs, ultimately affecting consumer prices and reducing purchasing power. Conversely, the decline in fuel prices provides a short-term boost to public spending but may challenge government revenue if fuel subsidies increase. Policy recommendations include balancing fuel price adjustments with measures to protect vulnerable groups and maintain economic stability.

Bicycles are affordable and healthy, cause zero harm to the environment, require little space on roads and parks, and are not noisy transportation means. However, cyclists face challenges on roads, which may lead to injuries and deaths. For instance, cyclists visibility, speed management, ability to communicate with other road users, backward accidents, and ability to be located in urgent cases. This paper presents performance, tracking, and safety systems from hardware and software point of view. As a result, cyclists monitor their speed to manage; their locations are tracked, and their cycling paths are traced. Also, a rear red light and turn signal LEDs are activated without any physical action from the rider to communicate with other drivers. Moreover, a microwave radar sensor with a range of seven meters is employed to protect the cyclist from backward-approaching vehicles. Finally, three Arduino UNO boards with GPS, GSM modules, MPU-6050, and RCWL-0516 sensors are mounted on a conventional bicycle to provide safer trips.

Graphene is a two-dimensional lattice made of a single carbon atom and has extraordinary mechanical, electrical and thermal properties. These properties make it a very important material for a variety of applications, including energy management and electronics. This research adopts a systematic literature review approach to evaluate the role of graphene in improving battery performance and environmental sustainability. The results show that graphene significantly improves the performance of lithium-ion and lithium-sulfur batteries as well as sodium and magnesium-based batteries. In addition, graphene also has great potential for environmental applications such as water purification and pollutant adsorption. However, challenges such as production costs, toxicity, and scalability still need to be overcome for wider adoption.

The “AntriSmecone” queuing system was implemented in the PPDB process at SMK Negeri 1 Purwokerto to improve efficiency by up to 70%. However, the system encountered several issues, such as race condition conflicts in queue numbers and code execution errors caused by automatic translation. This study employs the IT-IL V3 framework, focusing on the Service Operation domain to analyze IT service management, particularly in the subdomains of incident management and request fulfillment. The research methodology includes interviews, observations, questionnaire distribution, and literature studies. The analysis results indicate that the system's maturity level is at level 4 (Managed and Measurable), with an average score of 3.74. The system has structured and monitored procedures, allowing deviations to be effectively addressed. Recommendations were formulated to optimize incident management and fulfill user requests. This study contributes to the development of the “AntriSmecone” system to ensure service quality and efficiency in the PPDB process.

One of the benefits of the development of information systems is to increase effectiveness, efficiency and convenience in various aspects of technological life, especially in the scope of education, such as at SMK Negeri 1 Banyumas which implements a library visit system. But there are also challenges in its implementation, such as theft of personal data and misuse of data by irresponsible people. By conducting an information system audit, we can better understand the weaknesses of the system, for example, using COBIT 5 to view and evaluate the information system. as in the questionnaire that we distributed shows that there are 79% of students feel safe about the library visit system and 4.8% of students feel that the library visit system is not secure enough for almost the same reasons such as the authentication system that only relies on a username in the form of NIS and no password. From this data we can provide recommendations such as implementing a password system and 2-factor authentication in order to better protect personal data, files, systems, networks, and so on so that the system becomes better and more secure.

Power system protection plays a crucial role in maintaining the reliability and security of electricity distribution. This study discusses the analysis of coordination between overcurrent relays (OCR) and ground fault relays (GFR) on the Miwon Substation power line. The study aims to determine the optimal setting values ??for OCR and GFR, so that they can detect and disconnect short circuit faults quickly and accurately. The approach used includes theoretical calculations and simulations to evaluate relay performance under various fault conditions. The results of the study reveal that with appropriate settings, the relay can operate selectively and efficiently, reducing the impact of disturbances and maintaining the stability of the power system.

This research aims to design and develop a specialized frying device for chicken using the deep fryer method. The deep frying method was chosen for its ability to produce a crispy texture and even cooking. The design process of this device involves user needs analysis, mechanical design, and prototype testing. The developed frying device is designed to improve efficiency and consistency in the chicken frying process, as well as to minimize oil absorption in the final product. The test results show that this device is capable of producing chicken with optimal texture and taste. The use of this device is expected to be a practical solution for the culinary industry in enhancing the quality and efficiency of the chicken frying process. Data collection was conducted through observation, documentation, and literature study. The data analysis used was descriptive. After the design process, testing of the device was carried out to determine the doneness of the chicken using cooking times of 8 minutes, 14 minutes, and 20 minutes. The research results showed that the design process was carried out through several stages of component design. The test results indicated that frying for 14 minutes was the most optimal for producing perfectly cooked chicken with a crispy exterior, tender interior, and balanced flavor.

This research involves steps in creating promotional media that follows the ADDIE approach, with a focus on a case study conducted at MA Wahid Hasyim, Bangsri, Jepara. The video produced from this research aims to be the main promotional tool in the school environment, using a testing method using a Likert scale. Made in the form of motion graphic animation, the video was conceptualized creatively to provide an interesting introduction about the school, with the hope of attracting the interest of prospective students and other related parties in an innovative and interesting way.

Universities certainly have a lot of important documents stored. Documents stored include scientific works in the form of journals. The journal that is kept has an identity so that if needed it will make it easier for people to find it. A library is a place to store scientific work, both in the form of journals and for storing other documents. The problem currently occurring is that there are so many documents or journals stored that it takes a long time for people who want to find information related to journals. The aim of this research is to provide a solution to make it easier for people who want to find information about many journals. The method proposed in this research is to use the information extraction method. Information extraction is the search for structured information such as entities and attributes. The stages carried out start from collecting the dataset which is then carried out preprocessing where this stage takes the form of converting documents with PDF extensions to documents with HTML extension. Apart from that, at this stage data cleaning is also carried out, meaning that at this stage it will be possible to create new paragraphs. Therefore, the new paragraph needs to be removed. Then the next stage is rule-based information extraction based on keywords and rules. The results of this research are that none of the 50 journal abstract documents failed so that the accuracy obtained was 100%. So the information extraction in this research can be used to search for information from journal abstracts.

Detecting diseases in durian plants is a significant challenge in the agricultural sector, impacting yield and quality. This research aims to improve disease identification in durian plants by applying the Convolutional Neural Network (CNN) algorithm. The method involves collecting images of durian leaves, stems, and fruits infected by various diseases and using data augmentation techniques to expand the dataset and reduce overfitting. With the CNN model trained using this dataset, the accuracy reached 62% on validation data, with the highest accuracy for the “Healthy” class at 83%. The research results show that CNN is effective in recognizing diseases in durian plants, although there is still room for improvement through model optimization and the addition of training data. The implications of this research include the development of an AI-based disease detection system that can help farmers care for durian plants more efficiently and timely.

Finishing workstations have two activities: cleaning and painting. Irregular work layouts cause time wasted just to move the product to be worked on. In addition, there is no permanent work layout arrangement or placement of work objects so that every day there is a change in work layout makes workers have to make adjustments again, so this will waste time and will reduce the productive time of each worker at the painting work station. The purpose of this study is to design an improvement layout that can be used for cleaning and painting work using the motion study method. The results of the motion study analysis obtained a repair work layout combining two cleaning and painting jobs into one repair layout with the placement of workpieces and work equipment according to the needs of the right and left hands, so that the resulting work movement is more effective and increases cycle time efficiency.

This study is motivated by service quality which is one of the most influential aspects in the success of a business. PT. SAC as a service provider company is required to always pay attention to service user satisfaction with the services provided. This research is quantitative research. Data collection was obtained from primary data from the results of questionnaires with questions that had been asked by service users via Google Form. Questionnaires were given to 30 service users randomly. Data was collected during the MBKM internship at PT. SAC for 5 months, starting on 1 August 2023 – 31 December 2023. Data processing was carried out using validity and reliability tests. Data processing was carried out using the SPSS application to find solutions to the above problems. Valid, namely that data processing must be carried out properly and correctly. The results of the reliability test calculations show that all r calculations for each question, namely, R1 to R9, show a value greater than the r table, namely 0.361, so by using a significance level (?) of 5%, the questionnaire studied is valid. The Cronbach Alpha value shows 0.742, which means it is greater than the r table, namely 0.361 with the Cronbach Alpha value.

Cellular networks play an important role in modern life with the availability of flexible connectivity in various places, fast internet access and communication services and are a reference for innovation and economic growth. However, the complexity of cellular networks requires careful planning and management, this is to ensure a reliable and safe service. The method used in designing cellular networks is the simulation method, namely by using Cisco Packet Tracer software and literature studies from various references. The results of cellular network simulations using this software can show superiority in designing, configuring and testing cellular networks. Apart from that, this software also provides complete features to meet several needs, starting from the process of creating a network topology, configuring IP addresses, activating DHCP services and HTTP services, to testing connections using PDU samples between smartphone devices and servers. With the successful connection test, it can be concluded that the settings and services on the cellular network have been tested and verified using Cisco Packet Tracer. This has shown that the software used is very effective in simulating and testing cellular networks.

Fire is a disaster that cannot be predicted when it will occur and where it will occur, it's just that densely populated areas are areas that are vulnerable to the danger of fire. Fire disaster in Samarinda City. Data obtained from the Samarinda City Fire and Rescue Service are fire incidents from 2021 to 2023. In 2021 there were 230 fire incidents, in 2022 there were 209 fires, in 2023 there were 99 fires. so this city is one of the cities that experiences the most fires on the island of Kalimantan. Several supporting facilities and infrastructure owned by the Samarinda City Fire and Rescue Department, such as hydrants and fire extinguishing posts, have been increased in number. This research functions to group fire data per year using the k-means clustering algorithm.

This research aims to apply the Enterprise Resource Planning (ERP) system in the context of procuring materials to support services at PT. XYZ. The implementation process begins with problem identification, literature study, data collection, identifying Odoo software, designing an ERP system using Odoo software, and implementing the system that has been designed. The results of the comparative analysis between the implementation of the ERP system application and manual processes show that the advantage lies in using the ERP system application using Odoo software. This application was successfully implemented, as proven by the results of the tests carried out. This success makes a positive contribution to effectiveness and efficiency in procuring materials for service work at PT. XYZ. This research also proposes recommendations for further research, namely the creation of a comprehensive integrated system in PT business processes. XYZ. The hope is that this research can increase the effectiveness and efficiency of business processes as a whole.
 
 

Petrophysical evaluation of the Baturaja Formation on limestone reservoirs of the Field X, using conventional well log interpretation techniques and relating the results to core data based on laboratory analysis, shows that the reservoir characterization parameters to decide future plan for the well. This study shows the role of integrated petrophysical analysis it is possible that an acceptable and can be completed within the constraints and limitations of the available data, but sometimes additional data are needed. These new data, typically additional SCAL (Special Core Analysis), RCAL (Routine Core Analysis), well test data and mud loging data it’s must be integrated. The results of research based on petrophysical parameters is baturaja formation are dominated by limestone. Based on the results of the analysis, the reservoir layer in the baturaja formation, the BRF-1 is a potential hydrocarbon zone while the BRF- 2 and BRF-3 are non-potential zones. The BRF-1 has an average shale volume is 0,187 which is classified as clean formation, a porosity is 0,134 which is classified as small and for a water saturation is 0,677. The calculation method used is the Archie method because it excels in clean formation. Meanwhile, the Simandoux method has advantages in shaly sand formation and the Indonesian method is suitable for formations in Indonesian regions where the dominant formations are shaly sand and low salinity water. Then, cuf-off for BRF-1 obtained a net reservoir of 25.9 m and a netpay of 3,4 m. The results of this data are used to obtain the initial hydrocarbon reserves using the volumetric method and the amount reserves are 84740.5 STB in the BRF-1 zone.

Centa Brasindo Abadi (CBA) is a company operating in the agricultural sector. To maintain and increase productivity, maintenance of production machines is required. Preventive Maintenance (PM) is an approach used in maintaining equipment and machines to prevent unwanted damage or failure. A sachet filling machine is a machine for packaging products that will be distributed in sachet packaging according to the predetermined product weight. Preventive maintenance helps identify potential problems, saves on costly repairs, and keeps equipment in optimal operational condition. The aim of this research is to determine the implementation of preventive maintenance to maintain productivity in an effort to reduce downtime.

The rapid development of technology will obtain excellent effectiveness and efficiency from sources of electrical energy owned by a company or agency. With the progress of the industrial world today, the development of digital technology which ends in computer systems indirectly makes control technology involved as part of this progress. The availability of a power source is a very important aspect in the midst of technological developments. However, because the system is very complex, starting from the power plant to distribution to consumers, there is a high possibility of disturbances that can cause the flow of electrical energy to consumers to be cut off. There are certain places including factories, offices, banks, campuses, hospitals, airports and other places that could potentially endanger one's safety or drastically disrupt the course of the economic cycle. The flow of electrical energy must not be interrupted for a very long time because it can hamper the production process. and others, so that additional supply is needed to anticipate when the electricity is cut off from the National Power Plant source.

Problems In development, village communities still have very significant problems. First, in terms of improvements, the improvements are because they are included in urban areas, while in general, our nation Indonesia, is still covered by rural areas. At that time, in the middle of the government. The New Order, various arrangements and programs for the improvement of the province were prepared, but it was clearly ready to see that the socio-economic conditions of rural communities were still very far from what was expected. The purpose of this research is  to  find out what the village government does in village management for development. To find out the factors that affect village management. methods used in the research, research results, conclusions, suggestions, and  research implications.
 

Data networks are the lifeblood of modern life, connecting people and information at high speeds. Frame Relay technology plays an important role in delivering efficient and reliable data connectivity, like a water pipe that flows information seamlessly. Specifically designed for Wide Area Network (WAN), Frame Relay works at layer 2, optimizing data transmission between remote locations. This research uses experimental research. Experimental research is a manipulative process that needs to be carried out by applying certain treatments/treatments to research subjects and observing/measuring the effects. This research was conducted by looking at the results of the ping test on Router 1, Router 2 and Router 3 in sending messages over the network in 1 cloud The "ping" command is used to test the network connection by sending packets to the specified IP address. The results of the "ping" command show that the network connection to IP address 192.168.5.100 can be guaranteed successfully, with an average response time of about 16 ms. The frame relay circuit on the cloud router uses frame relay technology to send data between connected devices. The cloud router becomes the center of the frame relay network and manages the data traffic between the devices. IP network configuration can be done automatically through DHCP Ping also shows that the network is reliable with a minimum response time of 13 ms, a maximum of 19 ms, and an average of 16 ms.

The research proposes an innovative approach to identifying and positioning vehicle number plates using a combination of Maximally Stable Extremal Regions (MSER) and Harris Corner methods. The MSER method is used to detect stable regions on the vehicle number plate image. MSER has the ability to recognize areas that have significant contrast intensity, which often represents the characteristic of the number plate. After identifying the potential regions, the Harris Corner method was applied to determine the characteristic angles. The cross points on the number plate. The combination of these two methods allows for more accurate and reliable identification of the position of the number plate. In this study the author performs optimization by changing the preprocessing part and the part of the MSER method. In the preprosessing the author changes the morphological part of a filter, in the section of the method MSER adds input arguments such as ThresholdDelta, RegionAreaRange, and MaxAreaVariation. The results of this study are 99.27% accuracy, 82.73% precision and 83.14% recall. Previous studies were 98.85%, 67.61% and 79.66% recalls. Based on the results of these values, the study has successfully optimized previous studies.

As time goes by, existing technology continues to develop, one of which is network communication technology. LAN Computer Network or Local Area Network is a computer network consisting of several computers connected to each other in a relatively small area such as a building, campus or office. This research was conducted to see how a LAN network works to deliver data or information. This research is a type of descriptive research. The methods used in this research are literature study and simulation methods. The simulation is carried out using the Cisco network application. As a result, the Cisco application can project the working principles of a LAN network.

Machine downtime is a daily issue in the manufacturing industry. Handling downtime occurrences on machines is necessary to improve productivity and the quality of production outcomes. This becomes a benchmark for manufacturing companies to compete in the era of globalization. The DMAIC approach can be utilized to systematically analyze and resolve issues, including downtime problems. Research findings indicate that hot runner mold is a priority for improvement at PT XYZ. Through the Define, Measure, and Analyze stages of DMAIC, the main problems are clearly identified, their causes deeply analyzed, and effective solutions developed and tested. The implementation of these solutions through the Improve and Control stages successfully enhanced production efficiency, reduced downtime, and improved mold quality.

Ring topology is a type of network topology that is used to connect a computer with other computers in a circular circuit, like a ring. Usually a ring topology only uses a LAN card to connect each computer. The function of a ring topology is to connect nodes or computers in a network so that they can share information and resources with each other. Meanwhile, TCP-IP itself is communication used by the internet community to exchange data from one computer to another computer on the internet, because this protocol is a collection of protocols (protocol suite).

Electric Vehicles are vehicles that operate entirely or partially on electric motors, utilizing electrical energy stored in batteries or other rechargeable energy storage sources. The increasing use of electric vehicles also brings potential risks of new types of accidents, different from those associated with conventional internal combustion engine vehicles. Therefore, there is an urgent need to provide accurate information and appropriate handling related to electric vehicle technology, including hazard potential assessment, optimization of firefighting basics, selection of suitable firefighting agents, and the development of electric vehicle firefighting application methods. This study aims to understand the handling of electric vehicle fires using a literature review method on 10 research articles. The results show that 6 studies used water as a firefighting agent either alone or in combination with other agents such as CO2, C?F??O, liquid nitrogen, foam, and fire blankets, making it more effective in extinguishing electric vehicle fires. However, one study does not recommend using water due to its environmental impact when extinguishing electric vehicle fires. The research findings indicate the need for further innovation and research in safety technology and firefighting for electric vehicles.

PT. PG X is part of ID FOOD which focuses on the sugar cane agro-industry sector. SHS sugar is the main product. To ensure production meets consumer standards and expectations, it is necessary to implement quality control during the production process. This involves quality control, improvement and improvement of systems so that the products produced are superior and competitive. In writing this article, the author is interested in exploring the problem of product defects and deviations in the production process, including defective products, as well as efforts to improve and improve product quality. The problem solving method used is the six sigma method. From the research results, it was found that the total production produced during October was 48,611 and 3,283 defective products were found. In the sugar production section, PT X Sugar Factory has a sigma level of 3.7 with a possible damage of 24,635 for one million production (DPMO).

Indonesia is an agricultural country, where agriculture is a strong supporting sector in the development of the industrial sector. One of the subsectors in the agricultural sector is the food crops subsector. Bringinbendo Village is a village where the majority of the population are rice farmers, where rice farming is one type of food crop sub-sector. The amount of rice production over the last five years has fluctuated, but the rhythm tends to decrease. The causes of poor production results are rice pests and diseases, weather conditions, and incorrect fertilizer dosage. Apart from that, not all young people today are interested in becoming rice farmers and continuing their parents' profession. The method used in this thesis research is using the Lean UX method. Meanwhile, the method used in testing in this thesis research is using Heuristic Evaluation and System Usability Scale (SUS). The result of this research is to produce a PandaiLadang application design, which is a prototype of the PandaiLadang application design. The results of testing carried out by users with Heuristic Evaluation, obtained excellent and good qualifications. Meanwhile, testing using the System Usability Scale received a very good score, which means that the UI/UX design of the PandaiLadang application that has been created does not need to be repaired.

This research examines the application of the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in determining the best graduate students in the Ners Professional Study Program at Muhammadiyah University of East Kalimantan. The third step of the AHP method involves converting the values in the pairwise comparison matrix to decimal form, which is then normalized to calculate the priority weight of each criterion and sub-criteria. Next, checking the logic of the criteria and designing AHP-TOPSIS for ranking were carried out. The analysis showed that AHP resulted in 5 ranking changes with a percentage change of 4.4%, while TOPSIS resulted in 3 ranking changes with a percentage change of 3.9%. From these results, the AHP-TOPSIS method proved to have an accuracy of 83.00%. This article also presents a comparison between AHP, TOPSIS, and AHP-TOPSIS methods, where the best student selected is Dinda Ayu Framaisella. This research provides practical guidance for decision makers in solving multi-criteria problems and contributes to the selection of the best graduate students with a comprehensive and accurate approach.

PT. XYZ is an organization that manufactures wood products, including tables, chairs, and other domestic items. Workplace accidents are an extremely probable occurrence at PT. XYZ. Consequently, risk management is essential for reducing the occurrence of workplace accidents. The process of identifying suitable control measures is simplified through the utilization of the HIRARC method. The investigation was conducted in the grinding, sanding, lathe, drill, and corridor areas of the PT. XYZ process area. According to the findings derived from the conducted research, the hazard identification procedure yielded twenty-four indicators of peril. After calculating the 24 hazard indications, the risk level associated with the indicated hazards is determined. One is classified as extremely high risk, thirteen as high risk, eight as medium risk, and two as low risk. And company management can control hazards through the provision of safety signs, utilization of appropriate PPE, and establishment of work areas.

Of course, a soccer field needs water and the fertility of the field soil so that the grass can grow. The development of science and technology currently has a big influence on getting work done. A pump is a tool used to move liquids (fluids) from one place to another through pipes (channels) by adding energy to the fluid being moved and continuing continuously. Currently, many water pumps still use the manual method, namely using a switch or even just using a plug. Grass will also live if the soil has appropriate humidity, if the soil moisture level is low, the grass will die if there is excess moisture and it will not be able to grow. This problem certainly requires a solution that can help monitor soil moisture as well as control water pumps. By utilizing NodeMCU ESP8266 microcontroller technology as the control center, the YL-69 sensor measures soil moisture values ??and also relays as a replacement for manual switches. To control pump conditions via Blynk.

In this modern era, of course, technology is developing rapidly and increasingly sophisticated which produces various innovations in various aspects of life, including the industrial sector, it is possible in the electrical and electrical fields. The main form of the application of technology is as a driving force for the progress of science and technology and the development of the times, in making work easier and more efficient. The research was conducted to analyze the wiring process on the low-voltage connection panel (PHB-TR) at PT. Powerindo Prima Perkasa using PLN standards. The standard used in the production of low-voltage circuit boards is the PLN standard number D3.016-2 in 2010. The research was conducted to analyze the wiring process for the low-voltage connection panels (PHB- TR) at PT. Powerindo Prima Perkasa using PLN standards. The standard used in the production of low-voltage connection panels is the PLN standard number D3.016-2 in 2010. The data collection methods in this study were conducting interviews, observations, wiring on the panels and literature studies. Based on the results of the discussion in this study, the following conclusions can be drawn: [1] Knowing what components are contained in the Low Voltage Connection Panel (PHBTR). [2] Knowing the wiring process on the Low Voltage Connection Panel (PHBTR). [3] Knowing how the Low Voltage Split Connector Panel (PHBTR).

WebGIS is an information system used to convey information equipped with digital maps.Pre-rous families are measured using the concept of the ability to meet basic needs (basic needs approach).The aim of this research is to determine the locations of families that are classified as pre - trade indicators and make it easier for village governments to map community data.This research uses the Research and Development (R&D) method.The classic method that is still maintained by the Pandak Village should undergo changes in order to create progress and prosperity.

Design and Development of an Internet of Things (IoT)-Based Fish Freshness Detection Device. Guided by Mrs. Henna Nurdiansari, S.T., M.T., M.Sc. and Mrs.  Monika Retno Gunarti, S.Si.T., M.Pd. Indonesia has a great potential in fish production, reaching 12 million tons annually, accompanied by an increase in fish consumption. However, significant challenges arise regarding food safety, especially concerning the sale of non-fresh fish and the presence of formalin. As an innovative solution, a fish freshness and formalin detector based on IoT was developed. This device utilizes the TCS3200 sensor to detect color intensity and the HCHO sensor to detect formalin. This research employed the Research and Development (R&D) method to produce an effective detection device. When the LED is green without a buzzer sound and the LCD displays "Fresh Fish" or "Formalin Free," the fish can be confirmed to be fresh and free of formalin. However, if the LED is red, the buzzer turns on, and the LCD displays "Non-Fresh Fish" or "Fish with Formalin," the fish is considered to be below standard or contains formalin. The device categorizes fish condition into three groups: green (fresh), yellow (less fresh), and red (not fresh), reflecting the fluctuating freshness level. When the HCHO sensor reads a value above 0.5 ppm, the fish is considered to contain formalin, while below 0.5 ppm is considered safe and free from formalin. Therefore, this device can be an effective solution in detecting fish freshness and formalin content, ensuring food safety for consumers.

Lampung, a province located at the southern end of Sumatra Island, serves as a gateway for many migrants from different regions in Indonesia. However, some of the locals and tourists still face difficulties in finding the central location for souvenirs due to the  vast number of shops available. The purpose of this research is to assist tourists in finding the shortest distance to the nearest souvenir location using the Floyd Warshall algorithm. The software development method employed in this study is the Prototype, which consists of four stages, namely Communication, Quick Plan, Modeling Quick Design, Construction of Prototype, Deployment Delivery & Feedback. In the Rapid Modeling stage, the Floyd Warshall algorithm is used to determine the shortest distance for users to find the souvenir location. The result of this research is an android-based application that can provide the    nearest souvenir location with the shortest distance around the user.

Industry is an economic activity that processes raw materials, raw materials, semi-finished goods, and/or finished goods into goods with higher value. Industrial revolution 4.0 is often also called the cyber physical system. PT XY to run its business has a system, namely Management System (MS). MS cannot be separated from information technology to support KPI achievement. One of the information technologies that needs to be applied to the production department is OEE Downtime Details as a Realtime production report. currently has a system that is not yet effective in OEE KPIs, especially in Downtime Details. The method that can be used to complete analysis related to this problem is the Pureshare Method which displays quantitative data to provide motivation and suitability for business and technology goals. The results obtained from this research are that creating a dashboard can increase the effectiveness of data input and the data can be standardized so that the data is more valid. Suggestions for further research require evaluation regarding the development of information that will be presented on the dashboard.

The development of the world of telecommunications continues to improve. Its initial appearance was as first generation technology (1G) which still uses the same system. In 1991, 2G technology began to develop, using a digital system and being able to provide not only voice services but also data services. This technological development was then followed by 3G and 4G. Currently, technological progress has increased very rapidly in almost every field of technology. has created very sophisticated tools to support human work. One of the latest technological advances that plays an important role is the emergence of 5G technology. 5G technology is a wireless technology that is more complex than previous wireless technologies. With greater bandwidth, higher data speeds and lower latency, this technology can provide opportunities and benefits for operators to create new business models.
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Electricity is currently a vital resource highly needed by modern society, as the majority of human life activities are related to electricity. This sector is crucial in the execution of development initiatives to seek the enhancement of the well-being and prosperity of the people, enlighten the nation, and boost the people's economy in achieving national development goals. It can be said that electricity has become the primary source of energy in every activity, both in households and industries. PT PLN (Persero) is a state-owned enterprise (BUMN) that has been managing all aspects of electricity in Indonesia for 44 years, aiming to improve the quality of people's lives and focus on customer satisfaction. In order to continue to grow and improve, PT PLN  East Java requires analysis and evaluation of the company's current condition to compete externally. Therefore, a method is needed to determine the position and condition of PT PLN  East Java using the method from the strategic management course, namely the Five Force Analysis Method.
 

National education based on Pancasila and the 1945 Constitution of the Republic of Indonesia functions to develop the abilities and forms of character and civilization of a dignified nation in order to make the nation's life more intelligent. The aim of the researcher to be achieved is to find out the implementation of the thematic model of integrated learning at SMP N 3 OMBARADE WEWEWA TENGAH southwest Sumba district, the methods used in the research, research results, conclusions, suggestions and implications of the research. 
 

Human resource management is the process of utilizing humans as workers in a humane manner, so that their psychological potential functions optimally to achieve school goals. The indicators in this research that are meant by HR are implementing planning, recruitment and evaluation. Human resources (HR) greatly influence the quality of education in an institution. Educational institutions that prioritize human resources will increasingly support the development of students who are interested in attending that education. This research aims to determine the effect of human resource management on improving the quality of education at SDK KALENA WANNO STATE PRIMARY SCHOOL institutions. This research uses a data collection method through distributing questionnaires directly by distributing questions to respondents and asking them to provide answers to these questions. Respondents in this research are teaching staff at the SDK KALENA WANNO STATE PRIMARY EDUCATIONAL INSTITUTION. The number of questionnaires distributed was 50. The test technique used uses a validity test and a reliability test. Testing the first and second hypotheses uses a simple linear regression test. The research results show that service quality has a positive effect.
 
 

In the manufacturing industry, competition between companies is an inevitable phenomenon along with the spread of businesses in this field. To maintain competitiveness, making the right management policies, including in the calculation of production costs, is crucial. The determination of production costs must be done carefully in order to provide a balanced profit. This study aims to analyze the company's method of calculating production costs with a variable costing approach. The research design is descriptive with the use of quantitative data through secondary data sources. The results showed that the variable costing approach resulted in a fairly low amount of production costs, namely Rp. 6,165,220,371, compared to the company's original calculation of Rp. 6,271,616,917. Thus, calculating the production budget using the variable costing method can be an effective strategy to face competition in the manufacturing industry.

This article discusses the use of Coulomb's law and electric fields to improve air quality in conventional cars. This method utilizes electrostatic principles to attract and capture air pollutant particles. This research introduces the practical application of this concept by integrating electrostatic technology into car ventilation systems. Experimental results show significant improvements in the reduction of in-vehicle air pollutants, with the potential to improve the health and comfort of car users. With wider application, this technology can help reduce the negative impact of air pollution on the environment and human health.

The aim of this research is to produce learning media mobile interactive on the Basics of Electronics Engineering subject which is valid and practical for class X students at SMK Negeri 2 Solok. The method used in this research is method Research and Development (R&D) with a 4D development model consisting of 4 stages, namely Define (Definition), Design (Planning), Develop (Development), and Disseminate (Dissemination). This research uses an instrument in the form of a questionnaire. This questionnaire will be filled out by material experts and media experts in the validity test and filled in by students in the practicality test. Based on data acquisition and processing, this research obtained the following results. First, the results of material validation by material experts are in the "Valid" category with a total validity value by the three material validators of 0.967 and the results of media validation by media experts are in the "Valid" category with a total validity value by the three media validators of 0.967. Second, at the practicality test stage by students involving 15 students obtained a practicality percentage of 95.67% which was categorized as "Very Practical". Based on the results of this research, it can be concluded that interactive mobile learning media using Smart App Creator is suitable for use as interactive learning media in learning because it has been proven to be valid and practical.

Control chalrts alre one of the most widely used quallity interpretaltion tools to determine whether al process is within control limits or whether the calpalbility of al process is within the expected limits alnd criterial. In every production process problems alre often found such als product rejects alnd product defects. Control chalrts caln be used to monitor current alnd ongoing production processes. Observaltions were malde alt the Wilis Valn Jalval coffee industry localted in Kalre District, Maldiun Regency with robustal coffee types. The method used in this observaltion is descriptive with al qualntitaltive alpproalch through observaltion, interviews alnd documentaltion. The technique used in daltal alnallysis is using al P-chalrt. The alnallysis results show thalt coffee defects alccount for 1l0l% of the totall ralw malterialls used. To alchieve optimall production levels, compalnies must paly alttention to detalils thalt caluse production defects to optimize revenue alnd reduce loss falctors.

Truckloader (TL) is a tool that functions to move Fertilizer from the weigher (where the weighing and bagging process is) to the place of the pallet or to the place of the truck bed. Broadly speaking, this tool is in the Bagging 1B unit area. This truckloader has a digital counter, namely a counter which has the function of calculating fertilizer from the weigher to the truckloader. From this counter, this will later be used as a reference or comparison. In order to find out the amount of fertilizer on the pallet or entering the truck body, on the other hand it is also use it for the technician team as a reference for preventive maintenance and replacement of spare parts. So far, counter checking is done manually by visiting the field and seeing it in person. For this, the Internet of Things is needed so that work is more effective and easier for the monitoring process. By using Senesore infrared proximity as input to the Arduino Uno as an electronic circuit controller and running programs, 16x2 LCD as a display of instructions from Arduino, NodeMCU as a liaison between the microcontroller and Ubidots and to display digital data from Arduino. This counter tool will later be used to monitor the amount of fertilizer passing through truckloader via the Ubidots web. This system can display data on Arduino that can be viewed via the Ubidots web that has been made.

: Fire is one of the most detrimental hazards to the community, therefore a fire prevention system is needed to reduce the impact and losses caused by fire. This study aims to design a fire protection system that has a high level of reliability, capable of detecting various types of fires, this study aims to find out whether the provision of equipment in building A of Universitas PGRI Palembang has met the requirements according to the technical requirements of the fire protection system in buildings and the environment according to the regulation of the Minister of Public Works No.26/PRT/M/2008. The planning of the fire protection system in building A of the University of PGRI Palembang includes, planning the detector system, sprinklers, fire alarms, water volume and pumps. The results of the planning of this fire protection system are 22 detector points, 50 sprinkler points, a water volume of 190 m3, a water tank volume of 164 m3, a pump power of 112 kW, and a GWT capacity of 92 m3.

In a company increasing productivity is very important. This increase can be done by improving technological innovation. The technology that was redesigned was the roaster machine. The aim of this research is to make machine use and maintenance easier with new designs that may be more user-friendly and more sophisticated control technology or more durable materials that can improve machine performance and longevity. The method used in this research is the Zero One method. The Zero-One method is a decision development method that aims to determine alternatives (criteria). The results of the analysis from this research are to create a machine that can be made in accordance with ergonomic standards for workers, thereby reducing downtime and reducing production cycle times, thereby allowing for increased output without increasing working hours.
 

Telecommunications network planning is a crucial step in building an efficient and reliable communications infrastructure. In an era where connectivity is the backbone for various human activities, both on an individual and business scale, the importance of telecommunications network planning becomes increasingly apparent. In this abstract, we explain why telecommunications network planning is so important. First, careful planning ensures efficient use of resources, from frequency spectrum to hardware. Second, good planning can anticipate demand growth, ensuring that the network can grow in line with needs without sacrificing service quality. Furthermore, careful planning also considers security, privacy and reliability factors, which are crucial in a telecommunications environment that is constantly changing and vulnerable to threats. Thus, this abstract highlights the importance of telecommunications network planning in facing the challenges and opportunities in an increasingly connected world. With proper planning, telecommunications networks can become a strong backbone for social, economic and technological development.

Changes in global oil prices have been one of the main factors influencing the Indonesian economy for the last few decades. As one of the leading oil and gas producers in Southeast Asia, Indonesia is significantly affected by fluctuations in global oil prices and has a broad impact on various sectors of the domestic economy. This research explores the impact of changes in oil prices on Indonesia's trade balance, inflation, economic growth and fiscal policy. In addition, analysis is carried out at the micro level to understand the direct implications on key sectors, such as the transportation industry, manufacturing industry and energy sector

Data communication is a field of science that studies the process of sending data, as well as how data can be received from sending and receiving terminals. A computer network is a set of "interconnections" between 2 or more autonomous computers connected by cable or wireless transmission media. Cisco packet tracer is a network simulation application developed by Cisco as a simulator as a learning medium for Cisco devices. Peer-to-Peer (P2P) network simulation using Cisco Packet Tracer software is an effective method for understanding, designing, and analyzing P2P networks in a controlled environment. The method used is literature study and carrying out simulation practice on Cisco Packet Tracer software to simulate a network. This research method aims to outline the steps and procedures required to simulate a Peer-to-Peer (P2P) network using Cisco Packet Tracer software. This abstract presents a brief view of the simulation approach used to model and examine the performance of a P2P network using Cisco Packet Tracer contains implementation steps for peer to peer network simulation. Through simulation, in-depth performance analysis can be carried out on various aspects of P2P networks, such as throughput, latency and reliability. This allows researchers and practitioners to understand how P2P networks behave under various conditions. Thus, P2P network simulation with Packet Tracer provides a useful tool for researchers and practitioners to understand and optimize P2P network performance in various scenarios.

PT EQY is a textile company, especially yarn spinning. The activities of the staffing/packing department at PT EQY are packing, lifting, and moving cardboard boxes. This activity still relies on human power or manual material handling. This work is carried out repeatedly and continuously, causing complaints of pain in several parts of the body during work. This raises the risk of work postures such as Musculoskeletal disorders (MSDs). This research aims to produce a design for work aids that can reduce the risk of Musculoskeletal disorders (MSDs) using the Ovako Work Analysis System (OWAS) method. Based on the problem, work posture analysis was carried out using the OWAS method to find out whether the work posture of staffing/packing employees falls into the risky posture category or not. Based on the results of the Ovako Work Analysis System (OWAS) analysis research, it shows that the posture of staffing/packing workers is included in the high risk category and needs immediate improvement. This improvement involves designing work facilities, namely a handlift and packing table with an ergonomics approach, resulting in a handlift design with a height of 200 cm (2000 mm) and a packing table with a width of 200 cm (2000 mm) and a packing table with a length of 60 cm (600mm), width 60 cm(600mm), and height 104 cm(1040mm).
 
 
 

To support green energy and reduce the effects of greenhouse gases, it is necessary to conceptualize and explore the use of renewable energy. In this research, the use of new renewable energy, especially photovoltaics (PV), will be applied to educational buildings, especially at ITS PKU Muhammadiyah Surakarta. This system is intended to reduce the use of conventional electrical energy. This system will be installed on the roofs of campus buildings with installation plans to meet the power requirement of 4.8 kW. This photovoltaic (PV) system will be modeled to determine the number of PV panels needed. Based on the simulation results, the number of panels required is 36 panels (2 series, 18 parallel) to produce 4.85kWh of power. Modeling and analysis of this system was carried out using RETScreen and MATLAB SIMULINK software.

Radio is a mass media that is still used by many people as a means of communication, such as listening to songs, informing news and others. One of the radio stations that still exists and is developing to this day is Radio Republik Indonesia, which is overseen by the government, which can now be accessed via available radio and websites so that it makes it easier for listeners to listen to and watch the news and can be accessed anywhere. The author conducted research at Radio Republik Indonesia in the Central Jakarta section using qualitative research methods where the author went directly to the field or observed and interviewed as well as assisting with literature studies. The aim of conducting this research was to find out how the broadcasting system and radio supporting equipment at Radio Republik Indonesia Jakarta . So the results obtained are in the form of a radio broadcasting system at Radio Republik Indonesia using two broadcasting systems, namely audio and visual as well as supporting equipment used in the form of Microphones, Mixers, OB – Van, MCR, Transmitter, STL and Antenna.