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Journal of Electrical Engineering and Computer (JEECOM)
Published by Universitas Nurul Jadid
ISSN : 27150410     EISSN : 27156427     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy
Journal of Electrical Engineering and Computer (JEECOM) is published by Engineering Faculty of Nurul Jadid University, Probolinggo, East Java, Indonesia. This journal encompasses research articles, original research report, : 1) Power Systems, 2) Signal, System, and Electronics, 3) Communication Systems, 4) Information Technology, etc.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 223 Documents
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Online Attendance System for Village Officials: A Case Study on the Application of Android Technology Syaiful, Syaiful; Astutik, Widya; Fitriana, Novira; Laila Fatika Agustini, Ayu Febriana
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10740

Abstract

The attendance tracking process for village officials in Sogaan Village has traditionally been conducted manually, leading to issues such as data inaccuracies, delayed reporting, and time wastage. This study aims to design and implement an Android-based Online Attendance System for Sogaan Village officials to address these problems. The research methodology consists of three main stages. First, a needs analysis was conducted through interviews and observations with village officials to identify required features. Second, system design was carried out, including user interface development, attendance feature configuration, and integration with a database for attendance data management. Third, the application was implemented using Android technology, involving system testing to ensure functionality and reliability. The goal of this research is to enhance the efficiency and accuracy of the attendance process for village officials. By utilizing an Android-based application, the system is expected to facilitate real-time attendance tracking, reduce manual errors, and simplify reporting and monitoring. Additionally, the system aims to improve transparency and accountability in attendance administration for village officials.
Design of monitoring system and control unit battery on solar panels Muhtadi, Ahmad
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.11159

Abstract

Solar panels are the main devices in the solar power generation system that function to convert sunlight energy into electrical energy directly. The purpose of this study is to make it easier for users to monitor the voltage and current values produced by solar panels through the designed display (LCD). This tool was developed using the Arduino Nano microcontroller. With several sensors such as Current used to detect DC and AC electric currents. The Voltage Sensor is used to measure the voltage on the solar panel and the Kijo1250 lead acid battery. The NTC sensor is used as a setpoint for the float process during the battery charging process. Research results In the battery controller system on solar panels, MOSFET with a duty cycle of 95% produces an input voltage of around 14.8 volts.
Flood Early Warning System with Notification Using Telegram Bot Based on IoT System Rakhman, Aditya Djulqodri; Somawirata, I Komang; Ardita, Michael
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10850

Abstract

Flooding is one of the disasters that often occurs in Indonesia, especially in areas with high rainfall, such as Malang City. To improve the effectiveness of early warning, this research develops an Early Warning System (EWS) information dissemination system based on the Internet of Things (IoT). This system combines Variable Message Sign (VMS) as a visual display media and a Telegram bot to provide real-time notifications to the public. NodeMCU ESP8266 is the main microcontroller connected to a WiFi network to access data on the server. Tests were conducted to assess the accuracy of VMS synchronization, the speed of notification response, and the effectiveness of the buzzer in providing warnings. The test results show that synchronizing two VMS with different internet networks has an average time difference of 1.16 seconds, while with the same network, it is only 0.03 seconds. In addition, the VMS and Telegram bot can deliver information quickly and accurately, while the buzzer functions according to the set warning level. With this system, the dissemination of flood early warning information becomes more effective and easily accessible to the public, especially those in vulnerable areas or on the move.
Implementation of The Behaviorally Anchored Rating Scale Method for Employee Performance Evaluation of MSMEs in Surabaya City Based on Information Technology Darmanto, Darmanto; Dhaniswara, Erwin -; Widianto, Yonatan
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12587

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in Surabaya encounter persistent challenges in conducting objective evaluations of employee performance. To address this issue, the present study introduces the application of the Behaviorally Anchored Rating Scale (BARS), employing both qualitative and quantitative approaches supported by Information Technology (IT). BARS enables performance appraisal based on specific and observable work behaviors, thereby mitigating subjectivity and enhancing the fairness of evaluations. The integration of IT further streamlines data collection processes while reducing administrative complexity. In this study, an open-source web-based application was developed and customized to align with the operational requirements of MSMEs. The primary objective is to design and implement a performance evaluation system grounded in BARS and IT, supporting MSMEs in the formulation of realistic performance benchmarks and more effective human resource management practices. The research methodology adopts the ADDIE Research and Development model, encompassing the phases of analysis, design, development, implementation, and evaluation. System reliability was assessed through black box testing, with results indicating validity and consistency across all scenarios. The findings confirm the successful deployment of a multi-user web application capability in facilitating efficient, accurate, and systematic employee performance evaluations within MSMEs
Analysis Of The Performance Of Solar Power Plants (Plts) On The Electrical Energy Needs Of Mosques hafit, ilhan; Wibowo, Pristisal; Siagian, Parlin
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.11357

Abstract

The need for electrical energy continues to increase, including in public facilities such as mosques. Solar energy is an environmentally friendly and sustainable solution because it is a source of renewable energy. This study aims to analyze the feasibility of implementing a rooftop Solar Power Plant (PLTS) system at Al-Hakim Mosque, Mabar Hilir Village, which has high sunlight intensity and minimal vegetation obstructions. The methods used include direct observation and interviews. The data collected included location identification, energy needs, and calculations of the solar power system. The results show that the mosque requires a daily power of 7,860 Wh, which can be met with 16 100 Wp solar panels and 9 12V 100Ah LiFePO₄ batteries. The research concluded that the location of the Al-Hakim Mosque is suitable for the implementation of the solar power system, while supporting the renewable energy transition and government policies towards energy sustainability in Indonesia
Implementation of Blockchain for Integrated Civil Service Statistical Data (Case Study: Civil Service and Human Resource Development Agency of Madiun Regency, East Java Province) Huda, Syaiful; Kusrini, Kusrini; Kusnawi, Kusnawi
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12170

Abstract

Digital transformation in personnel data management demands a transparent, secure, and integrated system to support data-driven decision-making and enhance accountability in personnel services. An integrated information system and personnel statistical data are necessary to assist leaders in analyzing staffing needs and making more accurate and efficient data-based policies, while also strengthening the principles of good governance through improved transparency and accountability. Therefore, the Personnel and Human Resource Development Agency of the Government of Madiun Regency, East Java, requires technology capable of effectively managing personnel information by offering security, transparency, and data integrity through a decentralized mechanism. Blockchain, as a distributed ledger technology, provides an innovative solution for maintaining data integrity and increasing public trust through permanent, encrypted, and validated transaction records within a decentralized network. The implementation of blockchain in the management of personnel statistical data remains limited, despite the technology’s ability to support real-time audit trails and reliable interactive data visualization. This study proposes a framework for integrating a relational database with smart contracts on the Ethereum network, by recording the hash of statistical data in the smart contract as proof of data authenticity. Data is retrieved from the database, hashed, and the hash is stored in the smart contract to ensure its integrity, with the results visualized in interactive charts. This framework is expected to improve transparency, accountability, and trust in personnel statistical data to support more accurate and efficient strategic decision-making.
Improving Tomato Ripeness Classification Using Knowledge Distillation and Hyperparameter Optimization with Optuna Sholihin, Iasya; Sunyoto, Andi
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.11266

Abstract

Automatic classification of tomato ripeness plays a crucial role in ensuring post-harvest quality and efficiency in the horticultural industry. This study proposes a combined strategy of Knowledge Distillation (KD) and hyperparameter optimization using Optuna to improve the accuracy of the ResNet50 student model by leveraging the performance of a MobileNetV2 teacher model.We used a publicly available Kaggle dataset containing 8,540 images, categorized into four ripeness levels (green, red, ripe, and rotten), comprising 7,157 training images and 1,383 validation images.Each image was resized to 224×224 pixels; light augmentation techniques (random rotation, brightness–contrast adjustment, flipping, and Gaussian blur) were applied only to the training set to prevent overfitting while maintaining consistency during evaluation.The MobileNetV2 teacher model was initially fine-tuned on the last 20 layers using manual hyperparameters (freeze_until = 20, dropout = 0.6), achieving an accuracy of 85.8%.Subsequent tuning via Optuna identified the optimal configuration (freeze_until = 91, dropout_rate = 0.5055), which improved the teacher’s performance to 89.6%.The resulting teacher model was then used to distill knowledge into the ResNet50 student: under manual settings, the student’s accuracy improved from 55.24% to 73.25%; when the student model was also optimized using Optuna, its accuracy surged to 85.54% nearly matching the teacher.Further evaluation using a confusion matrix and ROC curves revealed an increase in per-class AUC to the range of 0.91–0.99 in the KD + Optuna student model, confirming that this method effectively closes the performance gap between student and teacher.These findings demonstrate that combining KD with Optuna-based hyperparameter optimization is an effective approach for producing a lightweight, fast, and highly accurate tomato ripeness classification model ready for deployment in field applications to support post-harvest decision-making.
Study of Potential Scalability Development of Palm Oil Mill Effluent-based Gas-fired Power Plant Widanarko, Ishananta Alfian; Pramono, Wahyudi Budi
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.10813

Abstract

Indonesia, as the world's largest producer of palm oil, generates a large amount of liquid waste that has the potential to be a renewable energy source. The main problem of liquid waste originated from palm oil industry, apart from its nature, is its potential long-term usability, especially when improvements in biogas-based power generating technologies are put into consideration. Based on these problems, the main purpose of this research is to compare the economical, technical, and environmental scalability between palm oil mill effluent (POME)-based biogas power generation and older, existing diesel-based power generation and analyzing their scalability potential in long term, in aim to increase the utilization of renewable energy portion in Indonesia. This research is conducted by observing an actual palm oil mill facility and its power generation system. Data are analyzed by qualitative and quantitative method by means of computer simulation before being compared with diesel-based power generation system. Based on simulations and comparative analysis, POME-based biogas can be utilized as a fuel source for power generation using gas-fired power generating technology, due to its methane content. With these characteristics, it is possible to analyze the scalability potential of POME-based biogas power plants in the diversification of new and renewable energy sources. Studies on potential development show that biogas power plants are more efficient and have a linear correlation with the volume of liquid waste, and can be adapted in lieu of power generating-related technology advancements. As a result, energy derived from POME can support energy independence and contribute to the growth of clean energy.
Currency Exchange Rate Prediction Using Gated Recurrent Unit (GRU) with Historical Data and Economic Factor Adhani, Muhammad Azmi; Kusrini, Kusrini
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12385

Abstract

This study presents a currency exchange rate prediction model using a Gated Recurrent Unit (GRU) with historical price data and selected economic factors. Historical data, including Open, High, Low, and Close (OHLC) prices, were obtained from Yahoo Finance. Economic factor data, including Non-Farm Payrolls (NFP), Gross Domestic Product (GDP), Purchasing Managers Index (PMI), Retail Sales, and Durable Goods Orders, were collected from Trading View. Data preprocessing involved chronological sorting, missing value handling, feature scaling, and sequence generation. Multiple experiment cases were evaluated: historical data alone, historical data combined with all economic factors, and historical data combined with each individual factor. The GRU model achieved its best performance when incorporating historical data with Durable Goods Orders, indicating that this economic indicator provides significant predictive value, as reflected by the lowest RMSE (0.0076) and MAPE (0.0054), and the highest R² (0.9764) indicating that this economic factor provides significant predictive value. These findings highlight the importance of integrating selected economic factors into exchange rate prediction models to enhance forecasting accuracy.
Public Street Lighting Planning (PJU) Using New and Renewable Energy in Tanjung Gusta Village, Hamlet III, Sunggal District ramadhan, ilyasa; Rahmaniar, Rahmaniar; Dalimunthe, Erpandi
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.11334

Abstract

Indonesia has great potential in renewable energy, especially solar energy, due to its geographical location in the tropics. This research aims to plan an efficient and sustainable Public Street Lighting (PJU) system in Tanjung Gusta Village, Sunggal District, by utilizing new and renewable energy (NRE). Tanjung Gusta Village has a need for adequate street lighting to improve the safety, mobility, and quality of life of the community. The research method includes field surveys to analyze conditions, calculation of lighting needs based on applicable standards, and PJU system design using NRE. The results of the study show that the PJU system with solar power is the most suitable solution for Tanjung Gusta Village, taking into account the availability of resources. The planning of this solar PJU system includes the selection of the type of lamp to be used, determining the capacity of the solar panel and battery, and calculating the optimal layout and height of the light pole.

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