Pengembangan Data Warehouse dan Aplikasi Investigasi Kecelakaan Kereta Api (Studi Kasus di PT. Kereta Api Indonesia Daerah Operasi IV)
Abstract: Investigation can be
a complex task without any supporting system that provide a necessary data or a
relevant information (Data Warehouse). Such as investigation of the PT Kereta
Api Indonesia (KAI) in analyzing a train accident due to human error that
occurs is limited. Analysis conducted by KAI only focuses on individuals who
are related and have not been able to analyze in detail because of lack of
data. Would require analysis of a train wreck with a systematic method
integrated with data warehouse so that recommendations given on target. This
study, initially conducted by interview data collection using the Critical
Decision Method (CDM) and inferred using the Emergent Themes Analysis (ETA).
Then used a systematic method of Human Factors Analysis Classification System
Indonesian Railroad (HFACS-IR) to analyze human error especially train
accidents that occurred in Indonesia. Later. Before the application is made investigations,
required making accident scenarios by using Linking Causal Factor.
Penulis: Wiwik Budiawan,
Sriyanto, Wahyu Wahyu Andika
Kode Jurnal: jptindustridd140647
