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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Nosel ELINVO (Electronics, Informatics, and Vocational Education) Jurnal IPTEK Infotekmesin Jurnal Teknologi
Aris Puja Widikda
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Infotekmesin

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Desain dan Pengujian Predictive Maintenance Agitator Berbasis Internet of Things untuk Sistem Pengolahan Air Widikda, Aris Puja; Angga Debby Frayudha
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3004

Abstract

Agitators play an important role in the mixing, coagulation, and flocculation processes in the water treatment industry. An Internet of Things (IoT)-based predictive maintenance system was designed for early detection of agitator anomalies, including shaft imbalance/misalignment, bearing degradation, slip/RPM drop due to overload, and motor overheating. The system uses ESP32 as an edge device with an SW-420 (vibration pulse) sensor, a DS18B20 (motor temperature) sensor, and a Hall effect sensor (RPM). Data is sent via MQTT to the cloud server for real-time visualization on the dashboard. Validation against the reference instrument showed a MAPE of 0.518% and a correlation of 0.999. Anomaly warnings are triggered when the temperature is 69.5–70°C (critical 72°C) and vibration exceeds the 3σ threshold (warning 410 pulses; critical 550 pulses).
Co-Authors Angga Debby Frayudha Kasman Rukun Wakhinuddin Wakhinuddin