Prototype Sistem Pendeteksi Kebisingan Sepeda Motor Berbasis Internet of Things

Sakti, Justine Rangga (2025) Prototype Sistem Pendeteksi Kebisingan Sepeda Motor Berbasis Internet of Things. Sarjana (S1) thesis, Universitas Islam 45.

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Abstract

Traffic noise, especially from motor vehicles, is a significant problem that reduces the comfort of living in urban areas. One of the main sources of noise is the use of racing exhausts that produce sounds exceeding the threshold according to the Minister of Environment Regulation No. 07/2009. Enforcement of vehicle noise regulations is still constrained by the lack of adequate noise measuring devices, so measurements are often made subjectively. This research aims to design an Internet of Things (IoT)-based exhaust noise detector that is able to measure, display, and record noise data in real-time. This system uses NodeMCU ESP8266 as the main microcontroller, GY-MAX4466 sound sensor to detect noise in decibel (dB) units, LCD to display live measurement results, and Google Sheets for data storage via Wi-Fi connection. Tests were conducted on two types of exhausts, namely standard and racing exhausts. The measurement results show an average combined noise of 88.2 dB with an average error of 2.45%. The system worked stably and almost accurate, with data recorded in real-time on Google Sheets without interruption. The results of this study provide a practical solution to support the enforcement of vehicle noise regulations. This tool is expected to improve efficiency and accuracy in detecting noise violations, thus creating a more comfortable and orderly environment.

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