Abstract
The level of noise in the work environment is one of the factors that affect workers' performance. Research on noise level monitoring tools has been realized using a GY Max 4466 sound sensor with a website-based ESP Wroom 32 microcontroller. This study aims to determine the noise level in the work environment and to monitor noise levels based on a website to support occupational health and safety data. Data was collected by sound detection in the PDAM Way Rilau Bandar Lampung pump room from 08.00-12.00 WIB. The results showed that the system functioned well, indicated by the average accuracy of the four sensors of 97.07% and the average error value of 2.93%. The noise level data generated from the PDAM Way Rilau pump room is classified as high or dangerous because it has exceeded the noise threshold (NAV) value of 70 dB. The system used on the website is localhost access on a computer that can be monitored in the work environment as supporting data for occupational health and safety (K3).
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