TY - GEN
T1 - Evaluation of factors affecting workplace accident at MUTU coal company using human factor analysis and classification system for coal mines
AU - Pratama, Fariz Setyana
AU - Syaifullah, Danu Hadi
AU - Moch, Boy Nurtjahyo
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/9/27
Y1 - 2019/9/27
N2 - The coal mining industry has some unique characteristics, that distinguish this industry with other industries: capital intensive, technology-intensive, and has high risk. A workplace accident is one of the risks that has high importance because can cause various losses such as material loss, disruptions to the production process and damages to the environment. MUTU coal company, a company engaged in the coal mining sector in Indonesia, is experiencing an increasing number of workplace accident by 34.7% from 2017 to 2018. The workplace accident caused by various factors from various sources or levels, starting from the level of operators, supervisors, management, and company. Human Factor Analysis and Classification Systems Method for Coal Mines (HFACS-CM) was used in this study to analyze human factors that cause workplace accident, starting from the level of unsafe acts, preconditions for unsafe acts, unsafe leadership, organizational influences, and external environmental factors. Structural Equation Modeling (SEM) was constructed to analyze the relationship between factors affecting workplace accident based on the HFACS-CM model. The result proved that external environmental has a significant impact on unsafe acts, preconditions for unsafe acts have a significant impact on unsafe acts, organizational influences have a significant impact on unsafe leadership, unsafe leadership has a significant effect on the preconditions for unsafe acts, and external environment is significantly related to organizational influences.
AB - The coal mining industry has some unique characteristics, that distinguish this industry with other industries: capital intensive, technology-intensive, and has high risk. A workplace accident is one of the risks that has high importance because can cause various losses such as material loss, disruptions to the production process and damages to the environment. MUTU coal company, a company engaged in the coal mining sector in Indonesia, is experiencing an increasing number of workplace accident by 34.7% from 2017 to 2018. The workplace accident caused by various factors from various sources or levels, starting from the level of operators, supervisors, management, and company. Human Factor Analysis and Classification Systems Method for Coal Mines (HFACS-CM) was used in this study to analyze human factors that cause workplace accident, starting from the level of unsafe acts, preconditions for unsafe acts, unsafe leadership, organizational influences, and external environmental factors. Structural Equation Modeling (SEM) was constructed to analyze the relationship between factors affecting workplace accident based on the HFACS-CM model. The result proved that external environmental has a significant impact on unsafe acts, preconditions for unsafe acts have a significant impact on unsafe acts, organizational influences have a significant impact on unsafe leadership, unsafe leadership has a significant effect on the preconditions for unsafe acts, and external environment is significantly related to organizational influences.
KW - Coal Mining
KW - Factors Affecting Workplace Accident
KW - Human Factor Analysis and Classification System for Coal Mines (HFACS-CM)
KW - Structural Equation Modeling (SEM)
UR - http://www.scopus.com/inward/record.url?scp=85076714228&partnerID=8YFLogxK
U2 - 10.1145/3364335.3364371
DO - 10.1145/3364335.3364371
M3 - Conference contribution
AN - SCOPUS:85076714228
T3 - ACM International Conference Proceeding Series
SP - 291
EP - 295
BT - 2019 the 5th International Conference on Industrial and Business Engineering, ICIBE 2019
PB - Association for Computing Machinery
T2 - 5th International Conference on Industrial and Business Engineering, ICIBE 2019
Y2 - 27 September 2019 through 29 September 2019
ER -