Design of a Website-Based Realtime Noise Monitoring System in the Work Environment as a Support for Occupational Health and Safety (OHS) Data
DOI:
https://doi.org/10.23960/jemit.v5i2.211Keywords:
ESP Wroom 32, GY Max 4466, K3, Realtime, WebsiteAbstract
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).
Downloads
References
Amir, J., Wahyuni, I., & Ekawati, E. (2019). Hubungan Kebisingan, Kelelahan Kerja dan Beban Kerja Mental Terhadap Stres Kerja Pada Pekerja Bagian Body Rangka PT. X. Jurnal Kesehatan Masyarakat, 7(1), 345 - 350. https://doi.org/10.14710/jkm.v7i1.22997
Arkundato, A. (2018). Ketidakpastian dan Pengukuran. Physics Module. Universitas Terbuka. Jakarta.
Kementrian Kesehatan Republik Indonesia. (2020). Pedoman Dukungan Kesehatan Jiwa dan Psikososial Pada Pandemi COVID-19 Edisi Pertama. Directorate of Prevention and Control of Mental Health and Drug Problems. Direktorat Pencegahan dan Pengendalian Masalah Kesehatan Jiwa dan NAPZA (Narkoba, Psikotropika dan Zat Adiktif). Jakarta. Accessed April 2020.
KEPMENKES RI No. 1405/MENKES/SK/XI/2002. Regarding Healthy Office Work Environment.
Kharis. (2013). Rancang Bangun Sistem Deteksi Kebisingan Sebagai Media Kontrol Kenyamanan Ruangan Perpustakaan. Thesis, UIN Sunan Kalijaga.
Kuswana, WS. (2017). Ergonomi dan K3 : Kesehatan Keselamatan Kerja. Cet 1. PT. Rosdakarya youth. Bandung.
Syamsul, J. & Widianti, S.Y. (2018). Rancang Bangun Pengontrolan dan Monitoring Kebisingan Ruangan Berbasis Mikrokontroler AVR ATMega 8535. Journal of Electrical Technology, 3(1), 22–26.
WHO. World Health Statistic Report 2015. Geneva: World Health Organization; 2015.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024

This work is licensed under a Creative Commons Attribution 4.0 International License.







