Investigating of mining accidents involving trapped mine workers: A human factors-based method for analysis and classification (a case study of an illegal gold mining in banyumas, indonesia)
The number of illegal mining sites in Indonesia is estimated to be around 2.700, with the number of mining accidents reaching 104 in the period 2013-2021. The number of accidents is high and often causes fatalities. This research focuses on reactivating illegal mining in Pancurendang as a source of...
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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_01025.pdf |
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author | Asyari Hasyim Athoillah Mohammad Ghiyats Huaida Akasa Fasya Firdan Haidar Setyawan Fityan Shobar |
author_facet | Asyari Hasyim Athoillah Mohammad Ghiyats Huaida Akasa Fasya Firdan Haidar Setyawan Fityan Shobar |
author_sort | Asyari Hasyim |
collection | DOAJ |
description | The number of illegal mining sites in Indonesia is estimated to be around 2.700, with the number of mining accidents reaching 104 in the period 2013-2021. The number of accidents is high and often causes fatalities. This research focuses on reactivating illegal mining in Pancurendang as a source of livelihood for the local community. We focused on analyzing the causes of the trapping of 8 miners in Pancurendang Mine. It revealed more than 110 mining pits, with 30 active mining pits in the mine. The methodology we used was the Human Factor Analysis Classification System (HFACS) framework to process the data. Data collection was conducted by direct observation at the incident site, interviews with miners and the national rescue agency, as well as a comprehensive literature review. Improvements were proposed in a hierarchical analysis based on the HFACS Framework. The analysis showed that the incident was caused by several factors, such as skill-based error, physical environment, absence of supervisor, organizational physics and societal. The results of this study highlight the need for the development of professional mine organizations, safer working environments and responsibility for safety in small-scale gold mining, and provide valuable insights in the development of geotechnical engineering. |
first_indexed | 2024-04-24T10:52:33Z |
format | Article |
id | doaj.art-cda4380747b246128f1a85dd9bed9998 |
institution | Directory Open Access Journal |
issn | 2261-2424 |
language | English |
last_indexed | 2024-04-24T10:52:33Z |
publishDate | 2024-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | SHS Web of Conferences |
spelling | doaj.art-cda4380747b246128f1a85dd9bed99982024-04-12T07:50:14ZengEDP SciencesSHS Web of Conferences2261-24242024-01-011890102510.1051/shsconf/202418901025shsconf_icesh2024_01025Investigating of mining accidents involving trapped mine workers: A human factors-based method for analysis and classification (a case study of an illegal gold mining in banyumas, indonesia)Asyari Hasyim0Athoillah Mohammad Ghiyats1Huaida Akasa2Fasya Firdan Haidar3Setyawan Fityan Shobar4Universitas Jenderal Soedirman, Industrial Engineering DepartmentUniversitas Jenderal Soedirman, Industrial Engineering DepartmentUniversitas Jenderal Soedirman, Industrial Engineering DepartmentUniversitas Jenderal Soedirman, Industrial Engineering DepartmentUniversitas Jenderal Soedirman, Industrial Engineering DepartmentThe number of illegal mining sites in Indonesia is estimated to be around 2.700, with the number of mining accidents reaching 104 in the period 2013-2021. The number of accidents is high and often causes fatalities. This research focuses on reactivating illegal mining in Pancurendang as a source of livelihood for the local community. We focused on analyzing the causes of the trapping of 8 miners in Pancurendang Mine. It revealed more than 110 mining pits, with 30 active mining pits in the mine. The methodology we used was the Human Factor Analysis Classification System (HFACS) framework to process the data. Data collection was conducted by direct observation at the incident site, interviews with miners and the national rescue agency, as well as a comprehensive literature review. Improvements were proposed in a hierarchical analysis based on the HFACS Framework. The analysis showed that the incident was caused by several factors, such as skill-based error, physical environment, absence of supervisor, organizational physics and societal. The results of this study highlight the need for the development of professional mine organizations, safer working environments and responsibility for safety in small-scale gold mining, and provide valuable insights in the development of geotechnical engineering.https://www.shs-conferences.org/articles/shsconf/pdf/2024/09/shsconf_icesh2024_01025.pdf |
spellingShingle | Asyari Hasyim Athoillah Mohammad Ghiyats Huaida Akasa Fasya Firdan Haidar Setyawan Fityan Shobar Investigating of mining accidents involving trapped mine workers: A human factors-based method for analysis and classification (a case study of an illegal gold mining in banyumas, indonesia) SHS Web of Conferences |
title | Investigating of mining accidents involving trapped mine workers: A human factors-based method for analysis and classification (a case study of an illegal gold mining in banyumas, indonesia) |
title_full | Investigating of mining accidents involving trapped mine workers: A human factors-based method for analysis and classification (a case study of an illegal gold mining in banyumas, indonesia) |
title_fullStr | Investigating of mining accidents involving trapped mine workers: A human factors-based method for analysis and classification (a case study of an illegal gold mining in banyumas, indonesia) |
title_full_unstemmed | Investigating of mining accidents involving trapped mine workers: A human factors-based method for analysis and classification (a case study of an illegal gold mining in banyumas, indonesia) |
title_short | Investigating of mining accidents involving trapped mine workers: A human factors-based method for analysis and classification (a case study of an illegal gold mining in banyumas, indonesia) |
title_sort | investigating of mining accidents involving trapped mine workers a human factors based method for analysis and classification a case study of an illegal gold mining in banyumas indonesia |
url | https://www.shs-conferences.org/articles/shsconf/pdf/2024/09/shsconf_icesh2024_01025.pdf |
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