Linked warning criterion on ontology-based key performance indicators

Business process metamodel is a representation of knowledge on business processes. Balanced scorecard ontology (BSCO) is a conceptual representation of the balanced scorecard, so it can be integrated in semantics. However, the balanced scorecard ontology unable to measure fraud criterion when a business process has been executed. This research propose a model Warning Criterion Ontology (WCO) to detect wrong pattern and wrong resource in the organization. In this study, Key Performance Indicator (KPI) has been performed to cascades quality assurance office from the universities in Indonesia. The KPI method for “Percentage of Compliance in running well Standard Operating Procedure (SOP)” has been proposed in this research. By using KPI, warning activity measurement could be measured in organization with linked WCO, business process metamodel, BSCO and Petri net ontology.