Utilization of HFACS – Cognitive Map in Human Error Classification of Ship Collisions in Indonesia
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Fadilla I. Prastyasari, A.A.B. Dinariyana, Ketut Buda Artana and Dhimas W.Handani
Fadilla I. Prastyasari
Human factor has become the main factor to contribute in the marine accidents for the past few years. This paper proposed a method to classify of the human factor involving in the collision accident as well as finding the most significant factor by using human factor analysis and classification system (HFACS) combined with the cognitive map (CM). This method was used to analyze collision accident reports for the past five years, occurred between 2010 to 2014, in Indonesia. The result from the HFACS was broken down to find the causes of collision. Then, CM was used to model the relationship between each cause. Factors that have the highest global centrality value (GCV) can be said as the most significant factors. The result found that those factors are “Physical & mental tiredness of crew (PU9)”, “Bad medical conditions of crew (PU10)”, “Crews onboard are underqualified (US4)”, and
“Operator ignorance to the crew skills (OI3)” that have GCV as much as 9. This means that these factors affect nine other factors.
Cognitive map (CM), Human factor analysis and classification system (HFACS), Indonesia, Ship accident