JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Vol. 1 No. 2 (2024): June

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

Akhdan, Farrel Muhammad Raihan (Unknown)
Koten, Antonius Suban (Unknown)
Bouk, Anggela M (Unknown)
Rozi, Fatchulloh Reza Ar (Unknown)
Agustina, Rini (Unknown)

Article Info

Publish Date
30 Jun 2024

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.

Copyrights © 2024




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Website

Abbrev

jiteeha

Publisher

Lumina Infinity Academy

Subject

Computer Science & IT Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering

Description

JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture The Journal of Information Technology Applications in Education, Economy, Health and Agriculture (JITEEHA), published by the Lumina Infinity Academy Foundation, was established in January 2024. ...