The Use of Traditional and Fuzzy Association Rule Mining for Student Learning Outcome Forecasting

Abstract

Each student is has to complete the curriculum with a cumulative grade point average (GPA) not less than the requirements, which is calculated from the total amount of grade points of each course learned in the whole curriculum. In this research, an association rule mining is deployed to determine the relationship of the learning outcomes of each course. In addition, the fuzzy association rule mining is used to predict the overall GPA into categories; high, medium or low in order to fill out students who study the courses in which the grades are found. It is expected that the GPA will be in the low category, and the university should adjust their learning processes from the begining to help them reach the requirement at the end of course.