Algoritma Naive Bayes untuk Memprediksi Pemilihan Jurusan di MAN 1 Plus Keterampilan Bengkalis Berbasis Web
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Institusion
Politeknik Negeri Bengkalis
Author
Muliani, Natasya
Subject
458 Teknik Informatika
Datestamp
2024-08-26 05:39:43
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%.
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%.
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