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Jurnal EECCIS
Published by Universitas Brawijaya
ISSN : 19783345     EISSN : 24608122     DOI : -
Core Subject : Engineering,
Engineering
EECCIS is a scientific journal published every six month by electrical Department faculty of Engineering Brawijaya University. The Journal itself is specialized, i.e. the topics of articles cover electrical power, electronics, control, telecommunication, informatics and system engineering. The languages used in this journal are Bahasa Indonesia and English.
Arjuna Subject : -
Articles 4 Documents
 1 
Search results for , issue "Vol. 19 No. 3 (2025)" : 4 Documents clear
A Review of the Development of Power Converters and Controls for Fast Charging Electric Vehicles Wahono, Tri; Tole Sutikno; Ardiansyah; Hendril Satrian Purnama
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 3 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i3.1776

Abstract

The review explores the development of advanced power converter topologies and control strategies for high-power fast-charging systems in electric vehicles (EVs). Fast-charging systems are crucial for EV charging infrastructure, requiring intricate design considerations and optimization procedures. Understanding hierarchical control systems and exploring power converter topologies and control technologies is essential for efficient and reliable charging. EV fast-charging systems evaluate the effectiveness of various topologies with power converters, optimizing efficiency and performance. Control strategies are crucial for the efficient and sustainable operation of fast-charging infrastructure for EVs. Integrating these strategies into fast-charging systems improves charging efficiency and grid stability, contributing to the sustainable development of EV technologies. In conclusion, the review of power converters and controls for fast-charging electric vehicles is crucial for sustainable transportation infrastructure. Fast charging technology for EVs is advancing rapidly, enhancing charging performance and promoting sustainable transportation. Innovative charger designs and control techniques are crucial for efficient charging. However, the review acknowledges limitations due to the evolving landscape of fast-charging infrastructure and the complexities of grid integration. Future research should focus on overcoming challenges, advancing technologies, and integrating renewable energy sources, energy storage solutions, and grid connectivity. This will contribute to the widespread adoption of electric mobility.
Human Detection Aerial Imagery Using Convolutional Neural Network Method Pangemanan, Christofel; Mudjirahardjo, Panca
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 3 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i3.1811

Abstract

In disaster scenarios, accurate and efficient human detection is essential to support timely search and rescue operations. This study explores the performance of deep learning models YOLOv8n for human detection using datasets before and after data augmentation. The evaluation focuses on key metrics including Precision, Recall, F1-score, inference time, and mean Average Precision (mAP). Experimental results indicate that the model trained on the original dataset achieves Precision (0.9623), Recall (0.9464), and F1-score (0.9357), highlighting better accuracy in minimizing false positives and false negatives. Conversely, the augmented dataset leads to improvements in mAP (95.8 vs. 94.5) and inference speed (8.2 ms vs. 9 ms), demonstrating increased robustness and efficiency. These findings suggest that while training on unaugmented data slightly better detection accuracy, data augmentation enhances the model's overall performance, speed and perform well to detect object in occluction scenario, making the YOLOv8n model more suitable for real-time usage in disaster response scenarios.
Fuzzy Tahani Model for Selection Journal Computer Sciences and Technology (Sinta 2): Across Indonesia Wantoro, Agus
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 3 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i3.1787

Abstract

Publication of scientific articles in the national journal Science and Technology (Sinta) has become an obligation for academics such as students and lecturers. For students, publication is one of the requirements for graduation. For lecturers, scientific publication is a requirement for promotion or academic level (JA). Several levels of JA are Assistant Expert, Lecturer, Senior Lecturer and Professor. Lecturers who will apply for promotion to Senior Lecturer are required to publish in the Sinta 2 Journal. To be able to find a suitable journal, there are many considerations, if you choose the wrong journal, the article can be rejected. In choosing a journal, authors generally look at information such as publication costs, number of articles published, number of article publication frequencies, and review process time. Sometimes authors need ambiguous information such as the number of articles with many categories, low costs, high publication frequencies, and fast review times. The approach to this problem can use the Tahani fuzzy model database. This study applies the Tahani fuzzy model to model Sinta 2 journal data in the computer field to provide new findings and facilitate the selection of journals that match the criteria. This research needs to be done to provide useful information for several parties. For the author, this research is useful as a reference for selecting journals according to the criteria sought. For journal managers or editors, this information can increase the number of articles to be published, and for further researchers, this research will be information and reference material regarding journal selection research
A Digital Temperature Control Design for High Quality Virgin Coconut Oil Production Sukowati, Azizah Dian; Yudaningtyas, Erni; Sulistiyanto, Nanang; Milala, Ebenezer
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 3 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i3.1825

Abstract

Virgin Coconut Oil (VCO) has health benefits because it contains compounds that are good for the body. This study aims to control the temperature in the coconut milk extraction chamber into VCO to maintain the stability of these fatty acids. With a setpoint temperature of 34°C, PI and PID controllers are used whose parameters are determined through the Ziegler-Nichols and Cohen-Coon tuning methods. This research was modeled and simulated in MATLAB. The results show that the PID controller with the Cohen-Coon method provides a better system response compared to Ziegler-Nichols, with a settling time of 8757.4 seconds, an overshoot of 9.6518%, and a steady state error of 0%. Meanwhile, the PI controller with the Cohen-Coon method has a settling time of 8901.7 seconds, an overshoot of 7.1398%, and a steady state error of 0%. Tests show that the system can achieve overshoot below 3 and steady-state error below 1, according to the expected specifications

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