Real-time Noise Risk Assessment as Preventive Action to Occupational Disease in A Pharmaceutical Industry
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2024/09/shsconf_icesh2024_01049.pdf |
| _version_ | 1797213031026917376 |
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| author | Hardiningtyas Dewi Sholihah Qomariyatus Ciaputra Ega Budio Sugeng Prayitno Anwar Muhammad Ruslin |
| author_facet | Hardiningtyas Dewi Sholihah Qomariyatus Ciaputra Ega Budio Sugeng Prayitno Anwar Muhammad Ruslin |
| author_sort | Hardiningtyas Dewi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T10:51:48Z |
| format | Article |
| id | doaj.art-1fa1743317274a58873db9f59dae4c14 |
| institution | Directory Open Access Journal |
| issn | 2261-2424 |
| language | English |
| last_indexed | 2024-04-24T10:51:48Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | SHS Web of Conferences |
| spelling | doaj.art-1fa1743317274a58873db9f59dae4c142024-04-12T07:50:14ZengEDP SciencesSHS Web of Conferences2261-24242024-01-011890104910.1051/shsconf/202418901049shsconf_icesh2024_01049Real-time Noise Risk Assessment as Preventive Action to Occupational Disease in A Pharmaceutical IndustryHardiningtyas Dewi0Sholihah Qomariyatus1Ciaputra Ega2Budio Sugeng Prayitno3Anwar Muhammad Ruslin4Industrial Engineering Department, Faculty of Engineering, Universitas BrawijayaIndustrial Engineering Department, Faculty of Engineering, Universitas BrawijayaEngineering Profession Department, Faculty of Engineering, Universitas BrawijayaEngineering Profession Department, Faculty of Engineering, Universitas BrawijayaEngineering Profession Department, Faculty of Engineering, Universitas BrawijayaNoise 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.https://www.shs-conferences.org/articles/shsconf/pdf/2024/09/shsconf_icesh2024_01049.pdf |
| spellingShingle | Hardiningtyas Dewi Sholihah Qomariyatus Ciaputra Ega Budio Sugeng Prayitno Anwar Muhammad Ruslin Real-time Noise Risk Assessment as Preventive Action to Occupational Disease in A Pharmaceutical Industry SHS Web of Conferences |
| title | Real-time Noise Risk Assessment as Preventive Action to Occupational Disease in A Pharmaceutical Industry |
| title_full | Real-time Noise Risk Assessment as Preventive Action to Occupational Disease in A Pharmaceutical Industry |
| title_fullStr | Real-time Noise Risk Assessment as Preventive Action to Occupational Disease in A Pharmaceutical Industry |
| title_full_unstemmed | Real-time Noise Risk Assessment as Preventive Action to Occupational Disease in A Pharmaceutical Industry |
| title_short | Real-time Noise Risk Assessment as Preventive Action to Occupational Disease in A Pharmaceutical Industry |
| title_sort | real time noise risk assessment as preventive action to occupational disease in a pharmaceutical industry |
| url | https://www.shs-conferences.org/articles/shsconf/pdf/2024/09/shsconf_icesh2024_01049.pdf |
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