Analysis and Exploratory of Lecture Preparation Process to Improve the Conformance using Process Mining

The lecture preparation process marks the start of lectures in the new semester. Telkom University has utilized online-based information technology, Integrated Academic Information System (i-Gracias). One of the applications available on i-Gracias is Outcome-Based Education (OBE). The significant increase in I-Gracias users indeed produces many data records in event logs. This data has become an opportunity to evaluate and improve the lecture preparation process already running. Data processing is needed to gain knowledge from the event log, one of which is process mining. This study starts from the discovery stage to conformance checking. Before the process mining is carried out, pre-processing of the data will be carried out to produce good quality logs and define the case id, activity, and timestamp. Existing event logs will be processed using ProM tools using the Heuristic Miner Algorithm to model the process and achieve the best fitness, precision, generalization, and simplicity values. The Heuristic Miner algorithm was adopted in this study because of its capability to manage event logs with noise and display the primary behavior of existing business processes. The conformance checking result shows a fitness value of 0.98, precision's value of 0.29, generalization's value of 0.51, and simplicity's value of 0.45 for the lecture preparation process. It means the process model has a good representation of the data event log. This study hopes to add new insight to improve the lecture preparation process at Telkom University.