Pengembangan Sistem Monitoring Motor Induksi Secara Real-Time Berbasis IoT Cloud dengan Notifikasi Mobile
DOI:
https://doi.org/10.55606/jtmei.v5i1.6297Keywords:
Cloud Database, Induction Motor, Internet of Things, Predictive Maintenance, Telegram BotAbstract
Induction motors are critical components in industrial systems that require continuous condition monitoring to prevent damage and downtime. Previous research generally uses Local Area Network (LAN)-based monitoring systems, thus limiting monitoring access to the local network and not supporting real-time mobile notifications. This research aims to develop a cloud-based Internet of Things (IoT) induction motor monitoring system capable of monitoring motor parameters in real-time via the internet. The system was developed using an ESP32 microcontroller with integrated DS18B20 sensors for temperature measurement, MPU6050 for vibration detection, and SCT013-30A and ADS1115 for electric current measurement. Monitoring data is sent to the Firebase Realtime Database and displayed on a mobile web dashboard in real-time. In addition, the system is equipped with an automatic notification feature using Telegram Bot when motor parameters exceed predetermined safe limits. Test results show that the system is able to distinguish between normal and abnormal motor conditions based on changes in temperature, vibration, and current parameters. Under normal conditions, the average temperature was 39.38°C, vibration 1.65 mm/s, and current 0.40 A, while under abnormal conditions the average vibration increased to 5.15 mm/s and the current decreased to 0.15 A. The system also succeeded in performing stable remote monitoring, cloud-based historical data storage, and sending mobile notifications with a fast response. The development of this system provides increased monitoring flexibility compared to previous research which was still based on local LAN and supports the implementation of predictive maintenance on modern IoT-based induction motors.
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References
Broto, P. E. (2023). Sistem monitoring suhu dan kelembaban portable berbasis IoT menggunakan Arduino Mega dan ESP32. Jurnal INSYPRO (Information System and Processing), 8(1).
Cazacu, E., Petrescu, L. G., & Ioniță, V. (2022). Smart predictive maintenance device for critical in-service motors. Energies, 15(12), Article 4283. https://doi.org/10.3390/en15124283
Chafa, A. T., Chirinda, G. P., & Matope, S. (2022). Design of a real-time water quality monitoring and control system using Internet of Things (IoT). Cogent Engineering, 9(1). https://doi.org/10.1080/23311916.2022.2143054
Cil, A. Y., Abdurahman, D., & Cil, I. (2022). Internet of Things enabled real time cold chain monitoring in a container port. Journal of Shipping and Trade, 7(2), Article 9. https://doi.org/10.1186/s41072-022-00110-z
Fauzi, M. A., Hidayat, R., & Prasetyo, A. (2023). Implementasi cloud database pada sistem monitoring IoT berbasis ESP32. Jurnal Teknologi Informasi dan Ilmu Komputer, 10(2).
Harahap, C., Despa, D., & Afriani, L. (2024). Pengendalian kecepatan motor induksi dengan cycloconverter menggunakan vector control dengan filter hybrid. Jurnal Profesi Insinyur Universitas Lampung, 5(2). https://doi.org/10.23960/jpi.v5n2.132
Huda, M. B. R., & Kurniawan, W. D. (2022). Analisa sistem pengendalian temperatur menggunakan sensor DS18B20 berbasis mikrokontroler Arduino. Jurnal Rekayasa Mesin, 7(2), 18–23.
Iqbal, A., Moinoddin, S., & Reddy, B. P. (2021). Electrical machine fundamentals with numerical simulation using MATLAB/SIMULINK. John Wiley & Sons. https://doi.org/10.1002/9781119682684
Manurung, H. C. T., Arifin, J., Syifa, F. T., & Rochmanto, R. A. (2022). Pemanfaatan ESP32 sebagai sistem pemantauan kualitas air keran siap minum secara real-time menggunakan aplikasi. Journal of Telecommunication, Electronics, and Control Engineering (JTECE), 4(2), 93–98. https://doi.org/10.20895/jtece.v4i2.535
Putra, A. D., Defit, S., & Nurcahyo, G. W. (2025). Penerapan IoT pada alat temperature monitoring system cold chain box vaccine menggunakan sensor DS18B20. Jurnal KomtekInfo, 12(1), 1–11. https://doi.org/10.35134/komtekinfo.v12i1.589
Raikar, M. M., Kulkarni, S., Police Patil, O. S., Halingali, K., & Darshan, A. (2025). Remote motor condition monitoring using IoT and machine learning: A predictive approach. Procedia Computer Science, 259, 1096–1105. https://doi.org/10.1016/j.procs.2025.04.063
Ramadhan, F., & Kurniawan, D. (2024). Sistem monitoring gerakan menggunakan sensor MPU6050 berbasis IoT. Jurnal Teknologi dan Sistem Komputer, 11(2).
Saputra, R., Nugroho, A., & Fadli, M. (2023). Implementasi sensor MPU6050 untuk monitoring getaran dan kemiringan berbasis mikrokontroler. Jurnal Riset Rumpun Ilmu Pendidikan, 2(3).
Sen, P. C. (1997). Principles of electrical machines and power electronics (2nd ed.). John Wiley & Sons.
Sihombing, F., Siregar, L., & Sibarani, A. N. (2020). Studi analisis perubahan putaran motor induksi 1 fasa akibat output PLTS aplikasi kipas angin. Jurnal ELPOTECS, 3(2), 7–14. https://doi.org/10.51622/elpotecs.v3i2.466
Tarigan, J., Johannes, A. Z., Natbais, M., & Umbu, A. B. S. (2023). Rancang bangun alat pemantau dan kontrol kondisi ruangan green house untuk budidaya tanaman stroberi berbasis Internet of Things (IoT). Jurnal Elektro dan Mesin Terapan, 9(1), 22–32. https://doi.org/10.35143/elementer.v9i1.5877
Wibowo, A., Jayendra, I. G. B., Utari, D. Y., Rasyiid, M., & Aprilianto, R. A. (2024). Design of ACS712-based current sensing monitoring evaluation for PWM solar charge controller. Sainteknol: Jurnal Sains dan Teknologi, 22(2), 80–91. https://doi.org/10.15294/sainteknol.v22i2.20604
Yousuf, M., Alsuwian, T., Amin, A. A., Fareed, S., & Hamza, M. (2024). IoT-based health monitoring and fault detection of industrial AC induction motor for efficient predictive maintenance. Measurement and Control, 57(8), 1146–1160. https://doi.org/10.1177/00202940241231473
Yusro, I. (2025). Desain sistem monitoring gangguan motor induksi berdasarkan nilai suhu, getaran, dan konsumsi arus. Jurnal Profesi Insinyur Universitas Lampung, 6(2). https://doi.org/10.23960/jpi.v6n2.213
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