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...

Full description

Bibliographic Details
Main Authors: Asyari Hasyim, Athoillah Mohammad Ghiyats, Huaida Akasa, Fasya Firdan Haidar, Setyawan Fityan Shobar
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:SHS Web of Conferences
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2024/09/shsconf_icesh2024_01025.pdf
_version_ 1797213077981102080
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
work_keys_str_mv AT asyarihasyim investigatingofminingaccidentsinvolvingtrappedmineworkersahumanfactorsbasedmethodforanalysisandclassificationacasestudyofanillegalgoldmininginbanyumasindonesia
AT athoillahmohammadghiyats investigatingofminingaccidentsinvolvingtrappedmineworkersahumanfactorsbasedmethodforanalysisandclassificationacasestudyofanillegalgoldmininginbanyumasindonesia
AT huaidaakasa investigatingofminingaccidentsinvolvingtrappedmineworkersahumanfactorsbasedmethodforanalysisandclassificationacasestudyofanillegalgoldmininginbanyumasindonesia
AT fasyafirdanhaidar investigatingofminingaccidentsinvolvingtrappedmineworkersahumanfactorsbasedmethodforanalysisandclassificationacasestudyofanillegalgoldmininginbanyumasindonesia
AT setyawanfityanshobar investigatingofminingaccidentsinvolvingtrappedmineworkersahumanfactorsbasedmethodforanalysisandclassificationacasestudyofanillegalgoldmininginbanyumasindonesia