Fazila Baloch, Sania Bhatti* and Amirita Dewani

Department of Software Engineering, Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan

*Corresponding Author: Sania Bhatti, Department of Software Engineering, Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.

Received: April 25, 2022; Published: June 02, 2022

Abstract

Maintaining large information systems, especially the systems of an educational institute, is fundamental and most challenging. The processes like admission or examination cannot afford time delays, inefficiencies, and inaccuracies. Process mining has recently gained enormous research attention and is a growing technology in evaluating the processes of information systems via event log data recorded over numerous time stamps. The goal of process mining is to find, evaluate, fix, and improve real-world business processes based on the behaviour of an information system as recorded in an event log. The main objective of this research work is to apply process mining techniques for examining and analyzing educational processes using real-time log data of the MUET admission information system. The ProM toolkit is used for process model discovery and deviations. The event data was collected from Mehran UET’s admission department. The log files comprising 2 months of access log data typically collected during the admission process were examined. The process models were discovered using different plugins of ProM software. The results proved that with the help of event log files, an actual process model can be generated and see the bottlenecks and inefficiencies.

Keywords: Process Mining; Education Institution; Admission Process; Conformance Checking; ProM