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All Journal Infotekmesin Jurnal Konversi Energi dan Manufaktur Journal of Marine-Earth Science and Technology Formosa Journal of Science and Technology (FJST)
Nugroho, Priyambodo Nur Ardi
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Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Journal : Formosa Journal of Science and Technology (FJST)

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Accidents Analysis in Sugar Factories: Causes Using Government Regulation and Human Factor and Classification System (HFACS) Santoso, Edi; Kurniasih, Dewi; Nugroho, Priyambodo Nur Ardi
Formosa Journal of Science and Technology Vol. 3 No. 9 (2024): September 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i9.10996

Abstract

The Sugar Factory uses more than 150 pieces of equipment in production process. With so many tools, the possibility of accidents also very large, especially because of the age of mechine and equipment. On July 22 2022, an accident occurred which resulted 1 (one) person dying as a result of being hit by a lifting beam and sugarcane scale due to a broken wire rope. Investigation and analysis of the causes of accidents as well as follow-up actions must be carried out, because the production process must continue. This research aims to analyze accidents that occur based on human factors using Government Regulation and Human Factor Analysis and Classification System (HFACS) approach. Government regulations are used to identify the types of accidents with a major impact on lost work hours and fatalities. Government regulations are used to determine the types of accidents that have a major impact on lost work hours and deaths. Using data from sugar factories and interview results, this study shows that accidents with the greatest impact are caused by lifting equipment. Using the Human Factor And Classification System (HFACS) method to analyze the 6 accidents, the results show that at level 1, the biggest causes of accidents are at the sub-level decision error, skill-based error, perceptual error and routine violation. At level 2, the biggest causes of accidents are at the sub-level technological environment and personal readiness. While at levels 3 and 4, Failed to correct problem and supervisory violation have the largest percentage at level 3 and resource management at level 4. The conclusion shows that there are still various problems from the human factor to implementate occupational safety which could potentially lead to accidents.
Co-Authors Aang Wahidin Abid Al Fatih, Muhammad Arum Wulandari, Dyah Ashari, Azza Nuha Salma Dewi Kurniasih Edi Santoso Eky Novianarenti Mustaghfirin, Anis Mustain, Achmad Difa Khoirul Qoniah Ardelia Rean, Everin Shafa Ghaitsa Sasmita Aji Pambudi, Dwi Soelistijono, Rachmad Tri Sofia, Emy Utomo, Agung Prasetyo