TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved fuzzy miner algorithm for business process discovery

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved fuzzy miner algorithm for business process discovery

Business process model
Fuzzy miner
Process discovery
Process mining
Time-based algorithm

Return material authorization (RMA) is a process in which a company
decides to repair or replace customer’s defect product during the warranty
period. To execute RMA, both company and customer obliged to follow
standard operating procedure (SOP) which usually consists of many business
processes of a company well. As the business process could cause
inefficiencies, a company should improve their business process regularly.
The best way is using process discovery. This research proposes a new
improved fuzzy miner algorithm to represent binary correlation between
activities. This new algorithm utilizes binary significance and binary
correlation equally to acquire fuzzy model. While the original fuzzy miner
algorithm uses various binary correlation metrics, the improved fuzzy miner
algorithm uses only one metric and could capture the fuzzy model, accurately
based on the event logs to capture more accurate business process model. In
this research, ProM fuzzy miner is used as a comparison to the proposed
improved time-based fuzzy miner. The results showed that the improved
algorithm has higher value on conformance checking and able to capture
business process model based on time interval, by using only time-interval
significance as a binary correlation metrics.

Yutika Amelia Effendi, Riyanarto Sarno, Danica Virlianda Marsha

http://journal.uad.ac.id/index.php/TELKOMNIKA

May 10, 2021

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