Motorcycle Battery Health Monitoring System IoT-Based Electricity Using the Sugeno Fuzzy Method
DOI:
https://doi.org/10.61536/ambidextrous.v5i03.916Keywords:
Battery Monitoring, Electric Motorcycle, Fuzzy Sugeno, Internet of Things, State of HealthAbstract
Electric motorcycles require battery condition monitoring to maintain performance and support sustainable battery use. This study aims to develop an Internet of Things (IoT)-based battery health monitoring system for electric motorcycles using the Fuzzy Sugeno method. The study employed a prototype-based system development method. The research object was a 12-volt battery used in an electric motorcycle, while data were obtained through observation and experiments under several battery conditions. The instruments included an ESP32, INA226 sensor, 16×2 I2C LCD, temperature sensor, adapter, and web dashboard. Voltage and current data were analyzed using Fuzzy Sugeno with a weighted score of 70% for voltage and 30% for current to determine the battery State of Health (SoH). The results showed SoH values of 93% and 79%, categorized as good, 41% as fairly good, and 26% as poor. The system also successfully displayed the results on the LCD and transmitted monitoring data to the web dashboard in real time. In conclusion, the developed system was able to monitor and classify battery health based on the measured parameters and support remote battery condition monitoring.
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Doni, R., & Rahman, M. (2020). Sistem monitoring tanaman hidroponik berbasis IoT (Internet of Thing) menggunakan NodeMCU ESP8266. J-SAKTI (Jurnal Sains Komputer dan Informatika), 4(2), 516–522.
Furqon, M., Dwi, N., Ramadhani, C., Afandi, A., Praharsena, B., Labib, A., & Mustofa, A. (2025). Rancang bangun baterai estimator pada kendaraan listrik dengan metode Fuzzy Logic, 12(1), 29–34.
Ilham, M., Akram, M., & Yusran. (2022). Konversi sepeda motor menjadi sepeda motor listrik berbasis baterai. Politeknik Negeri Ujung Pandang.
Khrisna, R. H. A., & Soewono, A. D. (2025). Keselamatan dan proteksi baterai sepeda motor listrik: Studi kasus analisis kegagalan pada insiden kebakaran kapal motor penumpang. Cylinder: Jurnal Ilmiah Teknik Mesin, 11.
Mufid, M. A., & Ma’arif, E. S. (2024). Efisiensi baterai lithium ion terhadap pembatasan arus motor BLDC 2000 watt sepeda motor listrik. RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer), 7(1), 45–50. https://doi.org/10.24853/resistor.7.1.45-50
Nugraha, I. W. C., Triwijaya, S., Wiarco, Y., & Rukmana, M. (2023). Prototipe Battery Management System dengan mempertimbangkan State of Charge dan State of Health. Jurnal Perkeretaapian Indonesia (Indonesian Railway Journal), 7(2), 61–70. https://doi.org/10.37367/jpi.v7i2.292
Qalbi, C., Radyantho, K. D., & Nickolas, Y. (2023). Pengaruh penggunaan pendingin baterai terhadap temperatur baterai sepeda motor listrik Viar. Metrotech (Journal of Mechanical and Electrical Technology), 2(1), 1–6. https://doi.org/10.33379/metrotech.v2i1.2047
Rahmad, H., Arif, S., Khalida, Z., Dewi, K. C., & Bahtiar, A. D. M. (2024). Monitoring dan manajemen sistem baterai motor listrik. Jurnal Teknik Mesin, 3(1), 237–241. https://doi.org/10.33795/j-meeg.v3i1.4996
Siregar, R. S., & Ikhsan, M. (2025). Implementasi Internet of Thing (IoT) untuk monitoring dan pengaman beban listrik 3 phase menggunakan Fuzzy Sugeno. Jurnal Algoritma, 22(1), 1013–1025. https://doi.org/10.33364/algoritma/v.22-1.2343
Suprasetyo, A., Kalifa, A. D., & Diwandari, S. (2023). Penyiraman otomatis dan system monitoring bibit kelapa sawit menggunakan metode Fuzzy Sugeno. Jurnal FASILKOM, 13(3), 431–437. https://doi.org/10.37859/jf.v13i3.6150
Wibowo, T. B. (2024). Pengembangan sistem alat monitoring energi baterai kendaraan listrik berbasis Internet of Things (IoT). Jurnal Teknik Mesin, 3(1), 262–268. https://doi.org/10.33795/j-meeg.v3i1.3825
Zain, A. T., Suranto, D. D., Irawan, A., & Karimah, C. N. (2023). Pengujian konsumsi daya baterai litium-ion pada sepeda motor listrik dengan variasi kemiringan lintasan. Dinamika Teknik Mesin, 13(1), 46–56. https://doi.org/10.29303/dtm.v13i1.620
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