| Autor: |
Hanung Nindito Prasetyo, Riyanarto Sarno, Dedy Rahman Wijaya, Raden Budiraharjo, Indra Waspada, Kelly Rossa Sungkono |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Data in Brief, Vol 57, Iss , Pp 110906- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2352-3409 |
| DOI: |
10.1016/j.dib.2024.110906 |
| Popis: |
We present the Event log Dataset on the Container Dwelling Time process at the Container Terminal. The dwelling time process is the process and time calculated from the time the container is unloaded and lifted from the ship until the container leaves the port terminal through the main door. Dwelling time processes at ports are currently managed by systems in almost all major ports in the world. The mechanism for withdrawing the Container dataset is carried out for 6 months from the web server in the Container Terminal information system. The event log recording data that we took was data for 3 months of the dwelling time process that occurred at the port. We anonymized several parts of the data to prevent data leaks due to ethical practices that have been agreed with the institution that owns the dataset. The dataset obtained can be used to develop research related to process science such as process mining which includes process discovery, conformance checking, enhancement or research related to process anomaly detection. The resulting dataset is not only the basis for variables in the mining process such as Case_ID, Activities, and Timestamp, but we also complete other indicators such as workers, waiting time and costs as a multi-perspective point of view. The dataset we collect will be very helpful and will be liked by other researchers who want to develop knowledge in the field of Process Science, especially process mining. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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