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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.
Penelitian ini juga bertujuan untuk mengetahui potensi-potensi bahaya apa saja yang dapat timbul dari kegiatan pemboran khususnya sumur S-10 yang terletak di lapangan A milik PT X serta tingkat resiko dan setiap potensi bahaya yang mungkin timbul dan kegiatan tersebut Dari studi ini selanjutnya diharapkan dapat memberikan rekomendasi langkah-langkah kontrol yang dapat dilakukan untuk mencegah terjadinya.
Oil and gas industry is the high risk operation. Because of safety reason, oil and gas company should have a good system to Identify and analyze all potential hazards and risks before execute their activities especially in drilling activities.
The objective of this research are to examine the validity of all supporting data such as well interpretation data, drilling equipment performance and well location condition. The approach of this study is to evaluate all potential hazards and calculate the level of its risk which is exist on drilling activities especially at S-10 Well, Filed-A that can practically use to determine the control action to avoid incidents and/or accidents in a workplace.
Occupational accident cases in the cement industry, especially the packer area, are a serious problem that can have an impact on many things including productivity, safety, and worker welfare. Data shows that occupational accidents in the Packer area of the PT X Cement Industry in 2024 have increased compared to 2023, making it the area with the highest accident frequency in 2024. Occupational accident investigations and corrective actions have been conducted, but accidents continue to recur. This may be due to the absence of human factor analysis during the investigation process. Therefore, this study was conducted to determine contribution of human factors specifically latent conditions and active failures to occupational accidents that occurred in the PT X packer area during 2023-2024. This study was conducted using a descriptive analytical method using the Human Factor Analysis Classification System (HFACS) method. The results of the study showed that latent conditions contributed more to occupational accidents than active failures. The latent condition factors that contributed the most to occupational accidents included organizational climate, organizational process, resource management, and inadequate supervision. Meanwhile, the active failure factor that contributed the most was decision error. PT X needs to improve latent conditions at the organizational level and implement control to mitigate active failures in the packer area.
Fire incidents are a prevalent type of work-related accident in the manufacturing sector, including the cement industry. PT X is one of the cement factories that reported 21 fire cases from 2020 to 2024, indicating a concerning trend of recurring incidents yearly. This study aims to analyze the fire trend at PT X through the lens of human factors, utilizing the Human Factors Analysis and Classification System (HFACS) approach. Employing a qualitative method with a descriptive-analytical design, the research relies on secondary data from the company's incident investigation reports and interviews with relevant stakeholders. This study performed data analysis to elucidate the characteristics and causal factors underlying the trend in fire incidents, utilizing the Human Factors Analysis and Classification System (HFACS) framework. The findings reveal that latent conditions significantly impact the fire trend more than active failures. Key causal factors identified in latent conditions include resource management, inadequate supervision, and crew resource management, while decision errors are the dominant causal factors identified in active failures.
