| Issue |
E3S Web of Conf.
Volume 517, 2024
The 10th International Conference on Engineering, Technology, and Industrial Application (ICETIA 2023)
|
|
|---|---|---|
| Article Number | 15002 | |
| Number of page(s) | 13 | |
| Section | Safety on Sustainable Industries | |
| DOI | https://doi.org/10.1051/e3sconf/202451715002 | |
| Published online | 15 April 2024 | |
Analysis of Workplace Accident Potential in the Spinning Department at PT. Panca Bintang Tunggal Sejahtera, Indonesia Using the HIRA and SCAT Methods
1 Department of Industrial Engineering, Faculty of Engineering, Universitas Muhammadiyah Surakarta, Indonesia
2 Pusat Studi Logistik dan Optimisasi Industri (Puslogin), Universitas Muhammadiyah Surakarta, Indonesia
* Corresponding author: Eko.Setiawan@ums.ac.id
Occupational accidents frequently occurred in the spinning department of PT. Panca Bintang Tunggal Sejahtera, Indonesia, in the past year. The purpose of this study is to minimize the number of work accidents in the department by knowing the risk value, sequence of events, and incidents factors. The research method used is the HIRA method for classifying the risk level of each hazard and the SCAT method for finding factors causing work accidents. According to the HIRA approach, 28 hazards were found in 7 yarn spinning process activities in the spinning department including 3 potential hazards with extreme risk (11%), 10 potential hazards with high risk (36%), 8 potential hazards with medium risk (28%), and 7 potential hazards with low risk (25%). From the SCAT implementation, it is revealed that all activities require control and changes, especially in work process activities where there are hazards with extreme risk. The proposed improvements are to complete the procurement of PPE, add OHS signs, provide outreach and training to all employees related to OHS, and form an inspection team to supervise workers related to OHS.
© 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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