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JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science)
Published by Universitas Merdeka Malang
ISSN : 26144859     EISSN : 26144867     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JEEMECS is an Open-Access journal who managed by Electrical Engineering Department, Faculty of Engineering, Universitas Merdeka Malang, Indonesia. The technologies are rapidly changing and updating. Thus rapid distribution and publication to researchers, engineers, and educators are very important. Our aim after receiving the manuscript and editing process required is to quickly publish the received letters. Publishing periodically 2 (two) times a year. More several other changes in JEEMECS are informed in the journal history.
Arjuna Subject : -
Articles 106 Documents
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The Evaluation of a three-phase uncontrolled full-wave rectifier driven by a three-phase AC generator Didik Sukoco; Rama Arya Sobhita; Anggara Trisna Nugraha; Abdullah Waasi'
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 9 No. 1 (2026): February 2026
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v9i1.15642

Abstract

The rapid evolution of technology is significantly transforming various industries, with electrical engineering being one of the most impacted fields. As access to information continues to expand, advancements in science and technology are accelerating, necessitating the optimization of existing knowledge for future applications. In electrical engineering, refining both theoretical concepts and practical implementations is essential to enhancing the efficiency and performance of power systems, particularly in industrial settings where electricity demand is substantial. One key approach to achieving this optimization is through the study and analysis of a three-phase uncontrolled full-wave rectifier circuit powered by a three-phase AC generator. This paper presents a comprehensive examination of this system, focusing on improving its performance and efficiency for industrial applications. A deeper understanding of the theoretical principles and practical challenges associated with this rectifier circuit will contribute to the development of more effective and sustainable power conversion systems.
The Evaluation of the single-phase uncontrolled rectifier full-wave conversion system in renewable energy applications Anggara Trisna Nugraha; Epyk Sunarno; Rama Arya Sobhita; Geniari Nastiti
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 9 No. 2 (2026): August 2026
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v9i2.15620

Abstract

This paper explores the application of a Single-Phase Full-Wave Uncontrolled Rectifier in renewable energy systems, with a focus on its potential for community empowerment in rural or underserved areas. The diode/rectifier plays a crucial role in converting alternating current (AC) to direct current (DC), which is essential for many electronic devices and renewable energy systems. The study evaluates the system’s efficiency, cost-effectiveness, and its ability to enhance energy accessibility, economic development, and sustainability within local communities. From the research include the importance of adjusting the ignition angle (α), which directly impacts the output voltage, current, and waveform. A smaller ignition angle results in lower output voltage and current, which can be particularly beneficial for managing fluctuating energy demands in off-grid communities. Additionally, the resistance in the rectifier circuit influences the current and waveform shape, with higher resistance leading to lower current crucial for designing energy-efficient systems for low-power communities. Lastly, changing the load value affects the rectifier's power output. Larger loads lead to reduced power output, highlighting the significance of scalable renewable energy systems to meet the varying needs of different communities. Overall, the study emphasizes the potential of this rectification system to improve the reliability, affordability, and sustainability of renewable energy solutions in underserved areas, contributing to local economic growth and development.
Study on the Impact of Voltage Characteristics, Discharge Time Lag, and Electrolyte Density Measured Based on Temperature-Corrected Hydrometer Method for the Reliability of 110 VDC Protection Batteries Reynanda Bagus Widyo Astomo; Jamaaluddin; Miftachul Ulum
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 9 No. 2 (2026): August 2026
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v9i2.16582

Abstract

The substation battery serves as an emergency power source during interruptions of the Alternating Current (AC) supply to the rectifier, thereby maintaining the uninterrupted operation of protection and control equipment. Considering the critical role of batteries in maintaining substation system reliability, routine diagnostic testing is required to evaluate their suitability as Direct Current (DC) power sources. This study investigates the performance and reliability of 110 VDC protection batteries installed in a high-voltage substation through comprehensive diagnostic evaluations. The diagnostic procedures applied include terminal voltage measurement, electrolyte density measurement, and battery capacity testing, which are commonly used methods to assess battery condition in substation applications. Battery efficiency and estimated discharge time while supplying protection loads were selected as the primary performance indicators for evaluating battery suitability as a DC backup source. The test results indicate that battery 1 achieved an efficiency of 36.74%, while battery 2 exhibited an efficiency of 35.08%. Furthermore, the estimated discharge duration for both batteries was approximately 53 minutes when supplying the protection load. These values are significantly below the recommended operational standards, which require a minimum efficiency of 60% and a discharge duration of at least 3 hours. Based on these findings, the batteries are classified as unreliable and unsuitable for sustained DC supply during blackout conditions. The results highlight the importance of periodic battery diagnostics and timely maintenance to ensure reliable DC power systems in substations.
The Mathematical Modeling and MATLAB-Based Capacity Sizing of an Off-Grid Photovoltaic jamaaluddin jamaaluddin; Shazana Dhiya Ayun; Agus HF; M Abdul Muiz; Dwi Achmad Dani
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 9 No. 2 (2026): August 2026
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v9i2.17242

Abstract

Off-grid photovoltaic (PV) systems require component sizing that is consistent with the daily load profile, available solar energy, storage autonomy, and protection requirements. This study developed a modular mathematical model and MATLAB-based calculator for preliminary capacity sizing of an off-grid PV system. The model calculated daily energy demand, PV array capacity, battery bank capacity, inverter rating, miniature circuit breaker (MCB) current, and a recommended solar charge controller (SCC) rating. The input case consisted of a 75 W refrigerator operated for 24 h, a 20 W lighting load operated for 13 h, and a 200 W water pump operated for 3 h. The assumed system parameters were 5 h/day peak sun hours, 80% system efficiency, 12 V DC bus voltage, 80% allowable depth of discharge, one day of autonomy, 350 Wp PV module rating, and 100 Ah battery unit rating. The MATLAB computation showed a total daily energy requirement of 2,660 Wh/day and a simultaneous load of 295 W. The required PV capacity was 665 Wp, rounded to two 350 Wp modules. The battery requirement was 277.08 Ah, rounded to three 100 Ah units. The inverter and MCB were calculated at 368.75 W and 30.73 A, respectively. The proposed calculator provides a practical, transparent, and educational tool for early-stage off-grid PV design
Classification of Adolescent Depression Risk Using Naïve Bayes Algorithm and SMOTE Method to Handle Social Media Activity Data Imbalance Widiana Salsabilah; Jordy Lasmana Putra
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 9 No. 2 (2026): August 2026
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v9i2.17345

Abstract

Advances in information technology have transformed the way adolescents communicate through social media, yet excessive use negatively impacts psychological well-being. This study aims to develop a Naïve Bayes classification model to identify adolescent depression risks and evaluate the effectiveness of the SMOTE method in addressing data imbalance challenges. This research utilizes the "Social Media Impact on Teen Mental Health" dataset from Kaggle, consisting of 1,200 rows of data, with the entire modeling process validated using 10-fold Cross Validation. The results indicate that the application of the SMOTE method was successful in optimizing detection for the minority class or at risk groups. Through the integration of SMOTE, this classification system achieved a Recall value of 96.77% and an F1-Score of 74.07%, with false negative errors reduced to just 1 case. The combination of the Naïve Bayes algorithm and SMOTE has proven to produce a classification system that is fairer, more sensitive, and relevant for early mental health detection, enabling faster and more accurate identification of depression risks in the digital era.
Real-Time Food Ingredient Detection and Rule-Based Recipe Recommendation Using CPU-Deployable YOLOv8n agus siswoyo
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 9 No. 2 (2026): August 2026
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v9i2.17284

Abstract

This paper presents a real-time food ingredient detection and rule-based recipe recommendation system using YOLOv8n for CPU-only deployment. The system detects five common household ingredients tempeh, egg, spring onion, soy sauce, and noodle—from a live webcam stream and maps the detected ingredient set to predefined recipe rules. A custom dataset of 1,250 images was collected under variations in lighting, distance, and camera angle, annotated in YOLO format, and divided into training, validation, and test subsets using stratified sampling. Experimental results on the held-out test set showed an overall precision of 0.88, recall of 0.84, F1-score of 0.86, mAP@0.5 of 0.89, and mAP@0.5:0.95 of 0.59. On a CPU-only Intel Core i5-1135G7 laptop, the system achieved approximately 28 FPS, indicating its feasibility for real-time kitchen-assistance applications. The rule-based recommendation module achieved 90.0% strict accuracy and 96.7% lenient accuracy across valid, partial, and invalid ingredient combinations. These results suggest that YOLOv8n can be integrated with an interpretable rule-based recommendation engine for lightweight food-related applications. However, the current system remains limited by the small number of ingredient classes, sensitivity to lighting and occlusion, and the static recipe database.

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