DEVELOPMENT OF HUMAN FACTOR ANALYSIS AND CLASSIFICATION SYSTEM FOR OCCUPATIONAL ACCIDENT ANALYSIS IN PROCESS INDUSTRY

• Main Author: Ririarti Nur, Yunifa
• Format: Theses
• Language: Indonesia
• Subjects: Teknologi
• Online Access: https://digilib.itb.ac.id/gdl/view/79879
• Institution: Institut Teknologi Bandung

The incidence of work accidents has been on the rise year after year. According to the BPS Employment data, there was a noticeable increase in the number of work accident victims, with fatalities rising from 221,740 to 234,740 during the period of 2020-2021. These accidents can be attributed to various factors, including human error, equipment malfunction, and inadequate safety procedures. In order to prevent a further increase in workplace accidents, it is crucial to conduct accident investigations, and the Human Factor Analysis and Classification System (HFACS) offers a suitable framework for this purpose. HFACS is capable of identifying system failures that contribute to the occurrence of accidents. The development of the HFACS model in this study was undertaken due to identified weaknesses in the previous model. This development involved the addition of factors, sub-factors, sub-sub-factors, or categories that are relevant to accidents in the process industry. In the course of developing the HFACS model, External factors were introduced as a new factor level, comprising three sub- factors: regulatory factors, economic factors, and socio-political factors. Other levels of development included organizational influences, preconditions for unsafe acts, and unsafe acts. The study investigated 30 cases of work accidents in the process industry, using the HFACS development model, and conducted frequency analysis to gain new insights into the newly added factors. The analysis revealed several sub-factors/sub- sub-factors/categories that influence work accidents in the sample process industry, including skill-based errors, socio-political factors, economic factors, organizational climate, design and technological malfunction, and inadequate supervision. Based on these findings, the process industry companies participating in this study can adopt the 9E+1M system as a measure to mitigate the risk of work accidents..