ILA APPLICATION IN SPECIALIZATION OPTIONS FOR STUDENTS OF INFORMATION TECHNOLOGY FACULTY

Abstract

How to choose the right direction of study and research is one of the deciding factors for a student's career and future. For the purpose of partly supporting students of the Faculty of Information Technology in choosing a major study orientation after the third year of the Information Technology Engineer training program. The problem is to come up with classifications of orientation choices that are suitable for students based on the final transcript data of the whole course at the time the students make the selection decision. In this paper, we propose to use the inductive learning algorithm ILA - Inductive Learning Algorithm with data as learning results to classify the orientation of major selection in accordance with the orientation and desire of students. The obtained experimental results achieved a rate of >90% which coincided with the selection decisions of the students of Course 17 at the Faculty. This research partly helps students choose the appropriate majoring orientation in order to achieve good results in the next learning process.