Aplikasi Diagnosa Penyakit Tuberculosis Menggunakan Algoritma Naive Bayes

JURIKOM (Jurnal Riset Komputer)

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Field Value
 
Title Aplikasi Diagnosa Penyakit Tuberculosis Menggunakan Algoritma Naive Bayes
 
Creator Amrin, Amrin
Saiyar, Hafdiarsya
 
Description It is important for doctors to make an early diagnosis of tuberculosis in order to reduce the transmission of the disease to the wider community. In this study, the authors will apply methods of data mining classification, Naïve Bayes to diagnose tuberculosis disease. Based on the performance measurement results of the models using Cross Validation, Confusion Matrix and ROC Curve methods, it is known that Naïve Bayes method with accuracy of 94.18% and under the curva (AUC) value of 0.97. This shows that the models that are produced including the category of classification is very good because it has an AUC value between 0.90-1.00.
 
Publisher STMIK Budi Darma
 
Contributor
 
Date 2018-10-27
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://ejurnal.stmik-budidarma.ac.id/index.php/jurikom/article/view/900
10.30865/jurikom.v5i5.900
 
Source JURIKOM (Jurnal Riset Komputer); Vol 5, No 5 (2018): Oktober 2018; 498-502
2715-7393
2407-389X
10.30865/jurikom.v5i5
 
Language eng
 
Relation https://ejurnal.stmik-budidarma.ac.id/index.php/jurikom/article/view/900/864
 
Rights Copyright (c) 2018 JURIKOM (Jurnal Riset Komputer)
 

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