Rancang Bangun Sistem Monitoring Pendeteksi Kebisingan pada Perpustakaan Politeknik Negeri Bengkalis Berbasis Internet of Things (IoT)

The library as a center of information and learning requires a quiet atmosphere so that visitors can focus on accessing and understanding the material. This study aims to design an Internet of Things (IoT)-based noise monitoring system that can identify noise levels and provide warnings to visitors
who exceed the permitted sound limit. This system is built using a DF Robot analog sound sensor and a NodeMCU ESP8266 microcontroller, which is able to monitor noise in real-time and display it on a monitoring website to make it easier for managers to monitor the condition of the library environment. System testing was carried out with a time interval of every 5 seconds for each data collection. The test results showed that at a distance of 10 cm from a sound source in the form of loud music, the system recorded a noise level of 74.0 dB. Meanwhile, at a medium music volume at the same distance, the recorded noise was 64.4 dB. Meanwhile, in light conversation at a distance of 30 cm, the detected noise value was 46 dB. If the noise level exceeds the specified threshold, the system automatically provides a sound warning via DFPlayer Mini and changes the graphic display to red. These findings show that the developed system is able to improve comfort and order in the library environment and demonstrate the potential for utilizing IoT in monitoring environmental conditions.