PREDICTION OF INFORMATICS ENGINEERING STUDENTS' GRADUATION USING THE NAIVE BAYES METHOD BASED ON VALUES ASSIGNMENTS AND ATTENDANCE

Authors

  • Farrel Muhammad Raihan Akhdan Universitas Islam Indonesia
  • Antonius Suban Koten Universitas Widyagama Malang
  • Anggela M Bouk Universitas Widyagama Malang
  • Fatchulloh Reza Ar Rozi Universitas Widyagama Malang
  • Rini Agustina Universitas PGRI Kanjuruhan Malang

Keywords:

Naive Bayes, Graduation Prediction

Abstract

Student graduation is one of the indicators of the success of the educational process in higher education. This study aims to predict the graduation of students in the Informatics Engineering study program using the Naive Bayes method, by considering the Final Semester Exam (UAS), Mid-Semester Exam (UTS), assignments, and attendance as the main variables. The Naive Bayes method was chosen because of its simplicity in handling multivariable data and its ability to produce accurate classification models.

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Published

2024-06-30

Issue

Vol. 1 No. 2 (2024): June

Section

Articles

License

Copyright (c) 2025 Journal of Information Technology application in Education, Economy, Health and Agriculture

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.