Expert System Development for Course Enrollment Process Using Ripple Down Rules in a University in Surabaya

Abstract

The research aimed to develop expert system for helping lecturers to decide which courses to be taken by students in the next semester. The expert system contained specific pieces of knowledge to solve specific problems involved in the forms of system development and maintenance. This expert system was in the form of a website using the PHP programming language and MySQL database. The researcher used the Ripple Down Rules (RDR) method to identify the courses by putting forward the questions so that the system could decide which courses the students should take in next semester. The result shows that this web-based expert system can identify which courses that the students have to enroll after the students have answered questions generated by the system. The available data on the courses in the system adapt to the rules, so it is in line with the enrolled courses.

About the need to develop an intelligent information system to evaluate investment project environmental effectiveness

“…"Expert systems can be defined as tools for generating information from knowledge. It is capable of acting in accordance with a human reasoning process, giving similar [7] E3S Web of Conferences 389, 02002 (2023) https://doi.org/10.1051/e3sconf/202338902002 UESF-2023 advice, and making similar decisions to what human expertise may do. In short, it can gather vast numbers of information and experience from multiple experts of numerous disciplines and provide valuable recommendations to users.…”

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