Implementation of CBT (Computer-Based Test) System on Aptitude Test Development Using C4.5 Algorithm as Potential Detection Tool for Choosing High School Major

Abstract

This study aims to: (1) develop computer-based aptitude test software using C4.5 algorithm as an evaluation system in decision making; and (2) to reveal the level of suitability between the major desired by learners and the potential outcomes of computer-based aptitude test software with C4.5 algorithm. This research is a design and development study. The experimental subjects in this study were three high school students with a total sample of 60 students. The analysis was done by looking at the suitability of the result of the evaluation of computer-based aptitude tests that students have done. The results of this study are: (1) Computer-based aptitude test software successfully developed with several specifications namely; (a) CBT (Computer-Based Test) system model implemented using open mode; (b) Aptitude test instruments used under the Jim Barrett Aptitude Test; (c) The decision tree of the C4.5 algorithm constructed using a binary tree structure with the highest aptitude score criteria as a split value. (2) The trials conducted in three high schools obtained the average score percentage of 73.3% with the Good criteria.