ANALYSIS OF FACTORS INFLUENCING UNSAFE ACTIONS IN COAL MINE WORKERS PT X

The coal mining industry is a high-risk work sector with frequent occupational accidents. Internal data from PT X in 2024 recorded 51 occupational accidents, with 62.7% caused by unsafe acts and 37.3% by unsafe working conditions. This study aims to analyze the relationship between individual factors (age, length of service, and education level) and human error types with occupational accidents among coal mining workers. A cross-sectional study was conducted involving 300 coal mining workers at PT X, Central Kalimantan, in 2025. Samples were selected using stratified random sampling. Data were collected through questionnaires and field observations and analyzed using univariate analysis, chi-square tests, and multiple logistic regression. The results showed that age and length of service were significantly associated with occupational accidents (p = 0.0001). All human error dimensions, namely slips, lapses, mistakes, and violations, also showed significant associations (p < 0.05). Education level was not significantly associated with accidents (p = 0.258). Multivariate analysis identified age as the most dominant factor influencing occupational accidents (p = 0.001). These findings highlight the importance of controlling human error through behavior-based safety programs, strengthened supervision, and risk management tailored to workers’ characteristics..

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Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23754901
Primary Topic
Occupational Health and Safety Research
Type
article
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article

ANALYSIS OF FACTORS INFLUENCING UNSAFE ACTIONS IN COAL MINE WORKERS PT X

Arif Susanto, Sinar Simbolon, K.M. Agus Riyanto
1 links
Zenodo (CERN European Organization for Nuclear Research)
Occupational Health and Safety Research
article

ANALYSIS OF FACTORS INFLUENCING UNSAFE ACTIONS IN COAL MINE WORKERS PT X

Arif Susanto, Sinar Simbolon, K.M. Agus Riyanto
article en

Abstract

The coal mining industry is a high-risk work sector with frequent occupational accidents. Internal data from PT X in 2024 recorded 51 occupational accidents, with 62.7% caused by unsafe acts and 37.3% by unsafe working conditions. This study aims to analyze the relationship between individual factors (age, length of service, and education level) and human error types with occupational accidents among coal mining workers. A cross-sectional study was conducted involving 300 coal mining workers at PT X, Central Kalimantan, in 2025. Samples were selected using stratified random sampling. Data were collected through questionnaires and field observations and analyzed using univariate analysis, chi-square tests, and multiple logistic regression. The results showed that age and length of service were significantly associated with occupational accidents (p = 0.0001). All human error dimensions, namely slips, lapses, mistakes, and violations, also showed significant associations (p < 0.05). Education level was not significantly associated with accidents (p = 0.258). Multivariate analysis identified age as the most dominant factor influencing occupational accidents (p = 0.001). These findings highlight the importance of controlling human error through behavior-based safety programs, strengthened supervision, and risk management tailored to workers’ characteristics..

Zenodo (CERN European Organization for Nuclear Research)
Universitas Jenderal Achmad Yani (ID)
Good health and well-being, Decent work and economic growth
Openalex Percentile: Top 9%
Occupational Health and Safety Research
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ANALYSIS OF FACTORS INFLUENCING UNSAFE ACTIONS IN COAL MINE WORKERS PT X — Arif Susanto, Sinar Simbolon, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS