Open AccessAnalysis of Human Error Risk with Human Reliability Methods in Construction Projects
Author(s) -
M. A. Priska Sinabariba,
M. R. Ghifari,
E. Muslim,
Boy Nurtjahyo Moch
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1003/1/012079
Subject(s) - human reliability , human error , reliability (semiconductor) , bayesian network , risk analysis (engineering) , work (physics) , fuzzy logic , value (mathematics) , computer science , engineering , business , mathematics , statistics , artificial intelligence , power (physics) , physics , quantum mechanics , mechanical engineering
Work injury rates in Indonesia are relatively high, resulting in an urgency to maintain the safety of workers whose numbers are increasing. The biggest sector contributing to work accidents in Indonesia is the construction area, including building construction and causing large physical and financial losses. Workplace accidents are usually caused by human error and are strongly related to human reliability. The use of Fuzzy Cognitive Reliability and Error Analysis Method (Fuzzy CREAM) method is aimed at research to analyze patterns of worker behavior that affect the risk of workplace accidents combined with Bayesian Network simulation. 176 construction workers in the Jakarta and surrounding areas became the object of research. The value of Human Error Probability (HEP) was successfully obtained and the solution was given based on the characteristics of workers in the Control Mode category.