Extracting audit trail data of port container terminal for process mining

The process mining approach typically requires a structured format of an event log. In the practical fact, the structured format of the event log is not always directly available in the database information systems. For the evident needs of process mining at container terminals at the modern port. Then the historical data can be methodically taken from the audit trail data plus related event data. The historical data of a life-cycle process are driven by question. However, the audit trail data are typically provided in the standard form of a flat table. Each continuous row invariably contains a data event that has in common the essential characteristics of timestamp attributes as a specific form of possible activity. Therefore, this empirical research proposes a possible method to extract audit trail data terminal operating systems (EXTOS). The extraction result is proved by structured formalization of event logs. The practical implementation of this extraction method was made after observing four port case studies in eastern Indonesia. The event data extraction results have been proven in one modern port to measure import dwell-time container process performance indicators.