Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages103-108
Number of pages6
ISBN (Electronic)9781728121338
DOIs
Publication statusPublished - Jul 2019
Event12th International Conference on Information and Communication Technology and Systems, ICTS 2019 - Surabaya, Indonesia
Duration: 18 Jul 2019 → …

Publication series

NameProceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019

Conference

Conference12th International Conference on Information and Communication Technology and Systems, ICTS 2019
Country/TerritoryIndonesia
CitySurabaya
Period18/07/19 → …

Keywords

  • Cross-organization
  • Dwell-time container
  • Event log
  • Extract data
  • Process mining
  • Terminal operating system (TOS)

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