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The focus of this research is to analyze all occupational accidents of lifting activities on land rig operations in PT ‘X’ using the Human Factor Analysis and Classifications System (HFACS) method in 2014 - 2018. The type of research methodology is qualitative research with a descriptive design. The final result shows that the unsafe act layer is the most ineffective layer that contributing to almost all occupational accident cases which is 45 of 49 total cases of occupational accidents. Error is the sub-layer of unsafe act which has the highest number of contributions to occupational accident cases with total 39 cases. On the other side, the organizational influences layer is the second layer that has high contribution to accident which is 26 of 49 total cases of occupational accidents. The organizational process is the sub-layer of organizational influences which contributing to 23 cases of occupational accident. The third layer which has contribution to accident is unsafe supervision. The unsafe supervision has contribution to accident which is 16 of 49 total cases of occupational accidents. Inadequate supervision and planned inappropriate operation are the sub-layer of inadequate supervision which contribute to the accident cases for 10 cases equally. The layer of preconditions for unsafe actions is the effective layer which has contribution to occupational accident cases which is 8 of 49 total cases of occupational accidents. Personnel factor is the sub-layer of preconditions for unsafe actions which contribute to 7 cases of occupational accidents. According to the result, researcher recommend that corrective action must be taken at each layer of HFACS as the safety protection system, both latent failures and active failures with the emphasis on improvement, which start from the organizational influences layer, followed by the unsafe supervisions layer, and then unsafe actions layer, while the improvement on the layer of precondition for unsafe actions becomes the last improvement. Improvement to organizational influences layer, unsafe act layer, and unsafe supervisions layer will have a positive influence on the layer of precondition for unsafe actions.
This research examines work-related accidents in the mining industry categorized as injury cases, using the Human Factors Analysis and Classification System in Mining Industry (HFACS-MI). The mining industry is known as a high-risk sector, where serious incidents such as major injuries and fatalities frequently occur despite investigations and preventive measures. The study aims to identify the main causal factors of workplace accidents based on the HFACS-MI framework, which classifies human errors and systemic weaknesses within mining organizations. Using data from injury-related accident cases in 2024, both qualitative and quantitative analyses were conducted to assess contributing factors from the operator level up to the organizational level.The findings reveal that the majority of accidents were triggered by unsafe acts, particularly skill-based errors, indicating deficiencies in workers' basic competencies. Additionally, latent failures, such as inadequate supervision and organizational inefficiencies, were also found to play a significant role.
Penelitian ini mengkaji kecelakaan kerja di industri pertambangan yang tergolong dalam kategori cedera, menggunakan metode Human Factors Analysis and Classification System in Mining Industry (HFACS-MI). Industri pertambangan dikenal sebagai sektor dengan risiko tinggi, di mana insiden besar seperti cedera kerja serius dan kematian sering kali terjadi meskipun telah dilakukan investigasi dan tindakan pencegahan.
Studi ini bertujuan untuk mengidentifikasi faktor-faktor penyebab utama kecelakaan berdasarkan pendekatan sistem HFACS-MI yang mengklasifikasikan kesalahan manusia dan kelemahan sistemik dalam organisasi tambang. Berdasarkan data kecelakaan kasus cedera Tahun 2024, analisis dilakukan secara kualitatif dan kuantitatif terhadap berbagai faktor, dari tingkat operator hingga organisasi.
Hasil penelitian mengungkapkan bahwa kecelakaan paling banyak dipicu oleh unsafe acts, terutama skill-based errors, yang menunjukkan kelemahan pada kompetensi atau keterampilan dasar pekerja. Selain itu, faktor latent failures seperti lemahnya supervisi dan ketidakefisienan sistem organisasi juga berperan penting.
This research examines work-related accidents in the mining industry categorized as injury cases, using the Human Factors Analysis and Classification System in Mining Industry (HFACS-MI). The mining industry is known as a high-risk sector, where serious incidents such as major injuries and fatalities frequently occur despite investigations and preventive measures. The study aims to identify the main causal factors of workplace accidents based on the HFACS-MI framework, which classifies human errors and systemic weaknesses within mining organizations. Using data from injury-related accident cases in 2024, both qualitative and quantitative analyses were conducted to assess contributing factors from the operator level up to the organizational level. The findings reveal that the majority of accidents were triggered by unsafe acts, particularly skill-based errors, indicating deficiencies in workers' basic competencies. Additionally, latent failures, such as inadequate supervision and organizational inefficiencies, were also found to play a significant role.