DESIGN OF INVESTIGATION SUPPORT SYSTEM PROTOTYPE (A Case Study in Train Accident Investigation at DAOP 4 Semarang)

Abstract

Investigation can be a complex task without any supporting system that provides a necessary data or relevant information. Such as investigation of the PT Kereta Api Indonesia (KAI) in analyzing a train accident due to human error is limited. Analysis conducted by KAI only focuses on individuals who are related and have not been able to analyze the error causes in detail because of lack of data. This research tried to design investigation support system prototype to facilitate all of the processes needed in analysis a train accident. The processes started with the interview process using Critical Decision Method (CDM) and inferred using the Emergent Themes Analysis (ETA). Then a systematic method of Human Factors Analysis Classification System Indonesian Railroad (HFACS-IR) used to analyze human error especially for train accidents occurred in Indonesia. At last, accident scenarios constructed by the Linking Causal Factor. The result shows that investigation process suggested able to give more effective recommendation and the prototype design make these processes easier