A Multi-Perspective Process Explorer Method to Identify Anomaly of An Education ERP

Enterprise Resource Planning (ERP) system has commonly used in the education sector. However, implementing an ERP system is a complex process that may involves some alignment of the needs and objectives of various stakeholders, which can lead to discrepancies and system inefficiencies. This work aims to propose an anomaly detection technique of processes within an ERP using Multi-Perspective process mining. Our result shows that ERP in the education sector must considers the perspectives of all processes. This approach has identified important aspects that affect the success of ERP system processes, such as stakeholder engagement. This study using Data Discovery Mode process has resulted of 466 transitions and 95 tokens, and Performance Mode is 8 process tokens, Fitness Mode with an average of 48.1% and Precision Mode with a value of 56.6% can guide higher education institutions in the implementation of their ERP systems, leading to more efficient and effective systems.