Issue |
E3S Web Conf.
Volume 476, 2024
The 4th Aceh International Symposium on Civil Engineering (AISCE 2023)
|
|
---|---|---|
Article Number | 01061 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/e3sconf/202447601061 | |
Published online | 17 January 2024 |
Occupational Health and Safety Risk Analysis with The Fault Tree Analysis Method
Department of Civil Engineering, Institut Teknologi Nasional Malang, 65145 Bendungan Siguragura Street No. 2 Malang, Indonesia
* Corresponding author: maranatha@lecturer.itn.ac.id
Construction projects are often the most significant contributor to workplace accidents. Many things can happen during construction activities that can cause work accidents. This research aims to identify hazards, find the highest risk that can occur, and determine the primary event using the Fault Tree Analysis Method at Abdurrahman Saleh Air Force Hospital in Malang Regency. This research uses qualitative methods with data collection using questionnaires, interviews, and observations. The questionnaire was distributed to 12 selected respondents based on recommendations from the QHSE Officer. The results of the study were physical, chemical, and psychological hazards. There are 12 low-risk category variables, nine medium-risk, and two high-risk variables. The highest risk variables occurred in the production of rebar & fabrication and plastering work; workers were exposed to electric shock when cutting iron due to high voltage and falling from a height during outdoor plastering work. Basic events are lack of coordination, lack of enthusiasm, lack of motivation, lack of skills, lack of work experience, joking, lack of concentration, fatigue, rushing, lack of OHS members, limited monitoring time, messy work environment, lack of lighting, little workspace, extreme weather, slippery footing, high voltage electricity, tools/machines not functioning correctly, no warning, lack of safety equipment, limited PPE, and workers are not comfortable using PPE
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.