Algoritma Naive Bayes untuk Memprediksi Pemilihan Jurusan di MAN 1 Plus Keterampilan Bengkalis Berbasis Web

Muliani, Natasya (2024) Algoritma Naive Bayes untuk Memprediksi Pemilihan Jurusan di MAN 1 Plus Keterampilan Bengkalis Berbasis Web. Undergraduate thesis, Politeknik Negeri Bengkalis.

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Abstract

Learning interest is important in the learning process, because it will make it easier for students to understand learning at school. This research uses the Naive Bayes algorithm as the basis for predicting its ability to classify based on probability. This research focuses on students at MAN 1 Plus Bengkalis Skills and considers value factors such as mandatory math, chemistry, biology, history, sociology and student interest in determining majors. This web-based system provides access to counseling guidance (BK) to enter class X student data. The results showed that using the Naive Bayes algorithm on student data to predict major selection decisions obtained an accuracy rate of 100%, a precision rate of 100% and a recall rate of 100%.

Item Type:	Thesis (Undergraduate)
Contributors:	Contribution Contributors Email NIDN/NIDK Thesis advisor Fiska, Ryci Rahmatil rycirahmatilfiska@polbeng.ac.id NIDN1011079101 Thesis advisor Rahmi, Elvi elvirahmi@polbeng.ac.id NIDN0009058706
Uncontrolled Keywords:	Keywords: Naïve Bayes Algorithm, Prediction, Web, Guidance Counseling.
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:	26 Aug 2024 05:39
Last Modified:	26 Aug 2024 05:39
URI:	http://eprints.polbeng.ac.id/id/eprint/13624

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