Design Of an Expert System to Measure The Suitability of Student Potential with Graduate Profile

Abstract

This study designs a rule-based expert system using forward chaining to assess the alignment between student potential and graduate profiles (Digital Business Entrepreneur, Business Intelligence Analyst, Digital Marketing Specialist, Digital Fintech Specialist) in the Digital Business Study Program at Mahkota Tricom Unggul University. Quantitative data from 50 respondents were analyzed via questionnaires measuring four key indicators (V1–V4). Results showed 44% of students matched at least one profile, demonstrating the system’s utility for academic guidance and curriculum planning. The study highlights the potential of transparent, rule-based expert systems in educational decision-making, though future work should expand samples and integrate fuzzy logic for uncertainty.