Penerapan Metode Naive Bayes Classifier (Nbc) Untuk Klasifikasi Kondisi Internal Program Studi

Jurnal Teknik

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Field Value
 
Title Penerapan Metode Naive Bayes Classifier (Nbc) Untuk Klasifikasi Kondisi Internal Program Studi
 
Creator Padiku, Indhitya
 
Subject NBC
classification
internal conditions
study program
interest
prospective students
 
Description The low interest of prospective students in study programs at universities could be influenced by internal factors within the study program. These factors become the main variables in assessing the condition of the study program. For this reason, it is necessary to classify the internal conditions of the study program. A good method is needed in terms of accuracy and minimal misclassification to obtain the final classification results of the assessment. The purpose of this research is to classify the internal conditions of the study program. Classification of the internal conditions of the study program was carried out using the Naive Bayes Classifier (NBC) method which is a simple form of Bayesian Network with the assumption that all features are independent of each other. The NBC method shows an overall superior performance in terms of accuracy and misclassification rate. The NBC method can be used to determine the internal conditions of the study program, which could help identify factors that need to be addressed to increase the interest of prospective students enrolling in the study program.
 
Publisher Universitas Negeri Gorontalo
 
Date 2021-07-09
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://jt.ft.ung.ac.id/index.php/jt/article/view/118
10.37031/jt.v19i1.118
 
Source Jurnal Teknik; Vol 19 No 1 (2021): Jurnal Teknik; 65-74
2715-7660
1693-6191
 
Language eng
 
Relation https://jt.ft.ung.ac.id/index.php/jt/article/view/118/61
 
Rights Copyright (c) 2021 Indhitya Padiku (Author)
https://creativecommons.org/licenses/by-sa/4.0
 

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