Issue |
SHS Web Conf.
Volume 189, 2024
The 2nd International Conference on Ergonomics Safety, and Health (ICESH) and the 7th Ergo-Camp (ICESH & Ergo-Camp 2023)
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Article Number | 01049 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/shsconf/202418901049 | |
Published online | 09 April 2024 |
Real-time Noise Risk Assessment as Preventive Action to Occupational Disease in A Pharmaceutical Industry
1 Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya, 65142 Indonesia
2 Engineering Profession Department, Faculty of Engineering, Universitas Brawijaya, 65142 Indonesia
3 Civil Engineering Department, Faculty of Engineering, Universitas Brawijaya, 65142 Indonesia
* Corresponding author: dewi.tyas@ub.ac.id
Noise is a form of dangerous exposure that occurs around humans because of sound sources from industrial machines, work equipment, alarms, transportation equipment, etc. Continuous exposure to noise with noise levels higher than 85 dBA can lead to psychological and psychological health problems. The aim of this research is to identify the intensity of noise in the pharmaceutical industry and to map the noise to humans. Noise evaluation began by conducting a survey of conditions on the production floor by arranging a production floor layout accompanied by the location of machines and other work facilities. The next step was to determine the size and number of networks that would help in identifying interference measurement points. It took around 100 points to identify interference and then measurements were carried out using a noise meter with 6 repetitions per point. The equivalent continuous sound pressure level (Leq) was calculated first before being used as input to the Surfer software to obtain interference on the production floor. The research results showed that there were 100 points spread across 12 workstations in this drug manufacturing industry. The results showed that there were 19 points that received interference ≥ 85 dBA. The areas with the biggest disturbances were the EPM machine area, spooling machine, and slitting room.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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