Implementing Aproiri Algorithm for Predicting Result Analysis

Abstract

University or Higher Learning Institution is a
platform to train students in specific domain area that will
become an asset for a country. One of the critical issues in
University is to avoid dropout students. Educational Data
Mining (EDM) is an emergent discipline in developing methods
to explore the unique types of data from the educational
context. One of the techniques applied in EDM is an Association
Rules (AR) which is to find a pattern of one element influencing
other element. In this paper, AR technique has been utilized to
predict students’ results based on a group of the previous
students results. Clustering method has been used to classify the
specific subject category. Finally, a system known as Result
Prediction System (REPS) has been developed to perform
automatically the AR analysis on the academic data using PHP
and MYSQL databases.