Rule Based Reasoning Design for the Management of Nurul Islam Pasenggerahan Islamic Boarding School
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Abstract
Islamic boarding school management that still relies on individual intuition leads to inconsistency and inefficiency. This research designs a rule-based decision support system prototype (Rule-Based Reasoning / RBR) to model the knowledge of boarding school caregivers in order to standardize managerial processes. The Research and Development method was applied, encompassing the stages of knowledge acquisition, knowledge base design, and inference engine construction. The prototype encapsulates four main decision modules: new student admissions, dormitory assignment, activity scheduling, and health monitoring, within 45 IF-THEN rules. Testing using 80 real-world cases showed that the system was able to replicate expert decisions with an average accuracy of 87.5%. The research contributions are a structured knowledge base model for Islamic boarding schools and an RBR prototype that functions as a knowledge preservation tool, decision standardization mechanism, and management training aid. This system overcomes the weaknesses of the traditional intuitive approach by offering a documented, consistent, and reliable solution as an initial step towards the digitalization of Islamic boarding school governance.
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