ANALISIS SISTEM MONITORING TEKANAN BAN REAL TIME BERBASIS ESP32 DENGAN SENSOR TPMS PADA KENDARAAN BERMOTOR RODA DUA

Albert Valentino Mata Rohi; Petrus Katemba; Semlinda Juszandri Bulan Bulan

doi:10.46880/mtk.v12i2.6083

Authors

Albert Valentino Mata Rohi STIKOM Uyelindo
Petrus Katemba STIKOM Uyelindo
Semlinda Juszandri Bulan Bulan STIKOM Uyelindo

DOI:

https://doi.org/10.46880/mtk.v12i2.6083

Keywords:

Tire Pressure Monitoring System (TPMS), ESP32, Internet of Things (IoT), Real Time Monitoring.

Abstract

Tire pressure is a critical factor affecting vehicle safety, riding comfort, fuel efficiency, and tire lifespan. Conventional tire pressure inspection is generally performed manually, making continuous monitoring difficult. This study aims to develop a real-time Tire Pressure Monitoring System (TPMS) based on the ESP32 microcontroller integrated with the Blynk Internet of Things (IoT) platform for monitoring tire pressure and temperature on two-wheeled motor vehicles. The system was developed using the prototype method, including requirement analysis, hardware and software design, implementation, and performance evaluation. Functional testing was conducted by comparing TPMS pressure readings with a standard tire pressure gauge and measuring the transmission latency from the ESP32 to the Blynk application under various operating conditions. The experimental results show that the proposed system achieved an average front tire pressure measurement error of 1.08% while rear wheel error averaged at 0.44% and an average data transmission delay of 0.431 millisecond, indicating that the system provides accurate measurements and fast real-time communication. Furthermore, the developed system successfully monitored tire pressure and temperature continuously, enabling early detection of abnormal tire conditions and supporting preventive maintenance. These findings demonstrate that the proposed IoT-based TPMS offers a practical, low-cost, and reliable solution for improving motorcycle safety through continuous tire condition monitoring.

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