Aplikasi Diagnosa Penyakit Tuberculosis Menggunakan Algoritma Naive Bayes

JURIKOM (Jurnal Riset Komputer)

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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
Date 2018-10-27
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Identifier https://ejurnal.stmik-budidarma.ac.id/index.php/jurikom/article/view/900
Source JURIKOM (Jurnal Riset Komputer); Vol 5, No 5 (2018): Oktober 2018; 498-502
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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