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All Journal Jurnal Khatulistiwa Informatika Paradigma Jurnal Nasional Komputasi dan Teknologi Informasi JURIKOM (Jurnal Riset Komputer) Jurnal Riset Informatika Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Minfo Polgan (JMP)
Hafdiarsya Saiyar
Universitas Bina Sarana Informatika
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science Mathematics Medicine & Pharmacology Social Sciences

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Journal : JURIKOM (Jurnal Riset Komputer)

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Aplikasi Diagnosa Penyakit Tuberculosis Menggunakan Algoritma Naive Bayes Amrin Amrin; Hafdiarsya Saiyar
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (213.202 KB) | DOI: 10.30865/jurikom.v5i5.900

Abstract

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.
Co-Authors Amrin Amrin Amrin Amrin Desmulyati Desmulyati Desmulyati Desmulyati Mohammad Noviansyah Mohammad Noviansyah Rudianto Rudianto Sopyan Sopyan