Sistem Monitoring Tingkat Kebisingan pada Ruangan Generator Berbasis Internet of Things (IoT) melalui Pesan Telegram

Abstract

Noise in generator rooms can have a negative impact on operator comfort and health, necessitating an effective monitoring system. This study developed an Internet of Things (IoT)-based noise monitoring system using calibrated sound sensors in dB(A) units. Data from the sensors is processed by an ESP32 microcontroller and sent via the Telegram app if it exceeds the safe threshold (>85 dB(A)), while also being displayed visually on an LCD screen. The system is designed to provide early warnings and accurate information to protect human hearing. Test results show that the system can detect noise levels with high accuracy and rapid response, supporting safer and more efficient workplace management.