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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro ELKHA : Jurnal Teknik Elektro Jurnal Informatika dan Teknik Elektro Terapan ELINVO (Electronics, Informatics, and Vocational Education) Journal of Electrical Technology UMY JETT (Jurnal Elektro dan Telekomunikasi Terapan) Indonesian Journal of Artificial Intelligence and Data Mining JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Journal Technology and Implementation Bussines TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Buletin Ilmiah Sarjana Teknik Elektro Jambura Journal of Electrical and Electronics Engineering Jurnal Teknika Kontribusia : Research Dissemination for Community Development Jurnal Teknologi dan Terapan Bisnis Academia Open Indonesian Journal of Law and Economics Review Journal of Computer Networks, Architecture and High Performance Computing Community Empowerment Journal of Electrical Engineering and Computer (JEECOM) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Abdimas ADPI Sains dan Teknologi Indonesian Journal of Innovation Studies Jurnal Al Ulum: LPPM Universitas Al Washliyah Medan PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Malcom: Indonesian Journal of Machine Learning and Computer Science Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Jurnal Teknologi dan Terapan Bisnis Riwayat: Educational Journal of History and Humanities JOTECHS
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Journal : Buletin Ilmiah Sarjana Teknik Elektro

Overload Monitoring and Warning System for 3-Phase Electric Motorcycle based on IoT Adhimanata, Yogi; Sulistiyowati, Indah; Wisaksono, Arief; Ayuni, Shazana Dhiya; Nasar, Muhammad
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 1 (2025): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i1.12262

Abstract

This research aims to develop and test a Telegram-based monitoring and overload warning system for three-phase motors, utilizing the PZEM-004T sensor and ESP8266 WiFi microcontroller, which is able to measure electrical parameters such as current, voltage, and power in real-time. The method used is a quantitative approach with an experimental method, where this system provides automatic notifications via the Telegram application in the event of an overload with a current limit of 20A, and is able to automatically cut off electricity to prevent more serious damage. Given the risk of overload that can cause production damage and costly downtime to the industry, the results show the effectiveness of the system in recording data and detecting overload conditions, although there are power measurement discrepancies that indicate the need for further calibration. Recommendations from this research include developments to improve measurement accuracy, standardization of procedures, and integration with relevant industry standards, as well as additional trials with different load variations to validate the system's performance in various scenarios.