Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Jurnal Mantik
Alex Azhar Kusuma
Universitas Amikom Purwokerto
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Prediction of the Quality of Prospective Student Graduation for Determining New Student Selection Using the C4.5 Decisson Tree Algorithm Deuis Nur Astrida; Gil Diva'ul Haq; Alex Azhar Kusuma
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1090.pp2119-2126

Abstract

Historical data of former student contains rich informations. This research begins with a hyphothesis that there must be a correlation between former student data history and their success. By deeply observe the historical background of student, a pattern can be determined. Once a pattern is developed, a prediction of success can be projected to new and current students. This information is helpful for the new student admission strategy. In order to find the pattern a machine learning algorithm will be implemented. C45 works very well for machine learning to generate the rule based on attributes impact to the label. C45 is impelemnted to learn student pattern in the past in order to determine the pattern to predict the future students. A dataset is taken from the last 3 years vocational student graduation dataset. Success is defined as national exam and length of study. A final exam grade of senior high school is consider input to C45 classifier. According to experiments result an accuracy of report score prediction to determine success of national examination score is achieved by C.45 algorithm on success prediction. The test score attribute is taken from presence shows the highest impact to the student success, while attributeachievement as the lowest impact to the output.
Co-Authors Deuis Nur Astrida Gil Diva'ul Haq