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All Journal JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Koten, Antonius Suban
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Computer Science & IT Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering

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PREDICTION OF INFORMATICS ENGINEERING STUDENTS' GRADUATION USING THE NAIVE BAYES METHOD BASED ON VALUES ASSIGNMENTS AND ATTENDANCE Akhdan, Farrel Muhammad Raihan; Koten, Antonius Suban; Bouk, Anggela M; Rozi, Fatchulloh Reza Ar; Agustina, Rini
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 1 No. 2 (2024): June
Publisher : Lumina Infinity Academy Foundation

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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.
Co-Authors Akhdan, Farrel Muhammad Raihan Bouk, Anggela M Rini Agustina Rozi, Fatchulloh Reza Ar