Enhancing Information System Design with Decision Model and Notation (DMN): A Comprehensive Approach to Decision Modeling

Business rules are essential for organizational decision-making, shaping the functional requirements of information systems. These rules establish constraints within business processes, influencing decisions like product pricing strategies or supplier compliance evaluations. Integrating business rules into information systems ensures accurate, consistent decisions aligned with organizational objectives. The Decision Model and Notation (DMN) provides a standardized way to model decision logic, capture dependencies, and organize related data elements. DMN enhances the Business Process Model and Notation (BPMN) by incorporating decision-making logic into business process models, making them accessible to both business and technical stakeholders. While the Unified Modeling Language (UML) and BPMN are widely used in system modeling, DMN's practical application for decision modeling remains underexplored. This paper presents a practical implementation of DMN, focusing on its integration with BPMN for a comprehensive approach to information system design. Using a case study, we demonstrate how DMN effectively represents decision logic, showcasing benefits such as improved clarity, flexibility, and reusability. In evaluating different scenarios, Scenario S1 achieved the highest efficiency improvement of 19%, while Scenario S3 showed the least with only a 5% gain. These findings indicate that the adjustments in Scenario S1 can significantly enhance the performance of the Publication Incentive Information System, leading to recommendations for decision-makers to optimize evaluation criteria and processes.