Open AccessPrediction Model Safety Perfomance Model on The Dam Construction Project Based Bayesian Networks
Author(s) -
Maheen Asrar,
Tri Joko Wahyu Adi
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/832/1/012055
Subject(s) - bayesian network , construction site safety , work (physics) , construction industry , probabilistic logic , construction management , engineering , measure (data warehouse) , construction engineering , risk analysis (engineering) , civil engineering , computer science , transport engineering , business , data mining , artificial intelligence , mechanical engineering , structural engineering
Low understanding of Safety Perfomance on Dam Construction Project due to ignoring risk factors in the implementation of the construction process. Work accidents that occur in construction projects can put workers at standstill and result in low Safety Perfomance. Thefore by improving Safety Perfomance in construction projects can increase the competitiveness of contractors in the Dam Construction Industry. Therefore, it is necessary to determine the identification of relevant variables to measure Performance Safety in construction projects based on the level of risk of work accidents so that, it can achieve modern Performance Safety Management in the Dam Construction Project. This research aims to measure Safety Performance using a probabilistic approach that is able to accommodate uncertainty in the Bayesian Networks based on Dam Construction Project. By creating a Safety Performance prediction model on the Dam Construction Project. We will be able to know the safety and health performance of the work on the Dam Construction Project.