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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Muria Jurnal Layanan Masyarakat
Harmini
Universitas Semarang
Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Social Sciences

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Pelatihan Pemanfaatan Baterai Lithium-ion dengan Sistem Manajemen Baterai (BMS) sebagai Solusi Energi Cadangan Yusuf Nurul Hilal; Titik Nurhayati; Budiana Destyningtias; Isya' Aryan S; Harmini
Muria Jurnal Layanan Masyarakat Vol. 8 No. 1 (2026): Maret 2026
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/mjlm.v8i1.16592

Abstract

This community service activity aims to equip 15 participants at SMK Muhammadiyah 2 Jepara with technical competencies in assembling a backup energy system. The novelty of this article lies in the application of Lithium-Ion battery technology integrated with a smart Battery Management System (BMS) as a more efficient and safer power storage solution compared to conventional lead-acid batteries, as well as the implementation of a hands-on training method. This five-hour program successfully guided participants through the process of assembling Lithium-Ion battery cells and integrating them with a BMS to achieve optimal functionality. The results demonstrate that the assembled battery unit, when connected to an inverter, is capable of providing a stable power supply to various electronic loads, including mobile phone chargers, laptops, and active speakers. The final conclusion of this activity is that the participants have successfully mastered modern energy storage technology while producing a functional backup energy system ready to support emergency electrical needs within the school environment.
Leveraging Green IoT to Enhance Energy-Saving Efficiency in Fairness-Oriented Residential Photovoltaic Charging Stations Syarifah Muthia Putri; Moranain Mungkin; Harmini; Syechu Dwitya Nugraha
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 1, February 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i1.2470

Abstract

As electric vehicles (EVs) continue to gain global popularity, residential photovoltaic (PV) charging stations are becoming more common, providing a sustainable way to charge EVs. However, the intermittent nature of solar energy creates challenges in ensuring consistent and fair charging, making fairness-based charging scheduling essential. To automate this process, residential PV charging stations require a customized Internet of Things (IoT) system. A significant concern is the substantial energy consumption due to the high volume of data transmission within the IoT system. This research aims to enhance energy efficiency by leveraging green IoT strategies suitable for such applications. The study proposes the use of edge computing, optimized data transmission scheduling, and delta compression techniques at the edge to minimize energy use. The results demonstrate that these strategies are effective in achieving energy savings. Energy-saving efficiency on the source side ranges from 1.96% to 7.84%, while on the load side, it ranges from 57.5% to 61.3%. These findings highlight the effectiveness of the proposed strategies in reducing energy consumption, providing an efficient solution for optimizing data transmission in residential PV charging stations. Overall, the strategies contribute to the sustainable operation of electric vehicle charging infrastructure by improving energy efficiency and ensuring fair distribution of charging resources.
Co-Authors Budiana Destyningtias Isya' Aryan S Moranain Mungkin Syarifah Muthia Putri Titik Nurhayati Yusuf Nurul Hilal