Penerapan Naive Bayes Untuk Memprediksi Kelulusan Mahasiswa Rekayasa Perangkat Lunak Politeknik Negeri Bengkalis

Samosir, May Sinta (2024) Penerapan Naive Bayes Untuk Memprediksi Kelulusan Mahasiswa Rekayasa Perangkat Lunak Politeknik Negeri Bengkalis. Undergraduate thesis, Politeknik Negeri Bengkalis.

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Abstract

This research aims to apply the Naïve Bayes algorithm as a method for predicting the acceptance of Bengkalis State Polytechnic Software Engineering students. Naïve Bayes is used to group student data based on certain attributes to predict the likelihood of admission. The dataset used is software engineering student alumni data including social studies, GPA, credits, organization, programming skills competitions, activity in class and the student's year of graduation. The prediction results from the Naïve Bayes algorithm with an accuracy of 76,47%. are expected to provide information and input for universities in making future policies.

Item Type:	Thesis (Undergraduate)
Contributors:	Contribution Contributors Email NIDN/NIDK Thesis advisor Wati, Lidya lidyawati@polbeng.ac.id NIDN0022088902
Uncontrolled Keywords:	Naïve Bayes Algorithm, Prediction, Web
Subjects:	410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 458 Teknik Informatika
Divisions:	Jurusan Teknik Informatika > Sarjana Terapan Rekayasa Perangkat Lunak > TUGAS AKHIR
Depositing User:	Rekayasa Perangkat Lunak B 2024
Date Deposited:	31 Aug 2024 15:09
Last Modified:	31 Aug 2024 15:09
URI:	http://eprints.polbeng.ac.id/id/eprint/14590

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