Borobudur Informatics Review
Vol 1 No 1 (2021)

Using Data Mining with C4.5 Algorithm for Student Department Selection at MTs N Kaliangkrik

Ardhin Primadewi (Unknown)
Faruq Ardana Kurniawan (Teknik Informatika, Fakultas Teknik, Universitas Muhammadiyah Magelang, Indonesia)
Emilya Ully Artha (Teknik Informatika, Fakultas Teknik, Universitas Muhammadiyah Magelang, Indonesia)



Article Info

Publish Date
30 Apr 2021

Abstract

Psychological tests can determine the characteristics of behavior, personality, attitudes, interests, motivation, attention, perceptions, thinking power, intelligence, fantasies of students. MTs N Kaliangkrik routinely conducts tests for the selection of majors on its students assisted by Pelita Harapan Bangsa Magelang. In the implementation of the test for students at MTs N Kaliangkrik, processing and calculating the score still used Ms. Excel which requires extra time to recap and know the test results and the school needs to recap the existing results. The system developed applies data mining using the C4.5 Algorithm to predict the selection of majors. The test that is used as system input is the grade IX test score of MTs N Kaliangkrik which includes verbal, non-verbal, general intelligence, language knowledge, definite knowledge, general knowledge, and qualitative power tests. The accuracy of the similarity in the system reaches 80% (good) so that the system is suitable for use as a prediction tool for selecting majors in other schools.

Copyrights © 2021






Journal Info

Abbrev

binr

Publisher

Subject

Computer Science & IT

Description

AIMS Borobudur Informatics Reviews (BINR) aims to provide a forum for publishing the original research articles from contributors. SCOPE The scope of this journal covers the following areas (but are not limited to): 1. Software engineering 2. Mobile technology and applications 3. Database system 4. ...