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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Yutika Amelia
Institut Teknologi Sepuluh Nopember
Computer Science & IT

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Determining Process Model Using Time-Based Process Mining and Control-Flow Pattern Riyanarto Sarno; Widyasari Ayu Wibowo; Kartini Kartini; Yutika Amelia; Kelly Rossa
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 1: March 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i1.3257

Abstract

Determining right model of business process from event log is the purpose of process discovery. However some problems i.e the inability to discover OR, noise and event log incompleteness are emmerged while determining right model of business process. First, OR relation is often discovered as AND relation. Second, noise problem is occured when there are truncated and low frequency traces in event log. Thus control-flow pattern is used to solve issues of same noise relation frequency hence it discovers relation based on transaction function of activity. Consequently, it can refine non noise relation in business process model. Third, incompleteness leads to incorrect discovery of parallel process model; therefore we used Timed-based Process Mining which utilized non-linear dependence to solve the incompleteness. Finally this paper proposed combination of Timed-based Process Mining and control-flow pattern to discover OR and handle same frequency noise and incompleteness. From the experiment in section 3, this proposed method manages to get right process model from event log.
Co-Authors Kartini Kartini Kelly Rossa Sungkono Riyanarto Sarno Widyasari Ayu Wibowo