Jurnal Pilar Nusa Mandiri
Vol 13 No 1 (2017): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2

KOMPARASI METODE KLASIFIKASI DATA MINING ALGORITMA C4.5 DAN NAIVE BAYES UNTUK PREDIKSI PENYAKIT HEPATITIS

Septiani, Wisti Dwi (Unknown)



Article Info

Publish Date
15 Mar 2017

Abstract

Hepatitis is an inflammation disease of the liver because an infection that attacks and causes damage to cells and liver function. Hepatitis is a disease precursor of liver cancer. Hepatitis can damage liver function as neutralizing poisons and digestive system in the body that break down nutrients and then spread to all organs of the body that very important for humans. Research of predicting disease hepatitis have been carried out by previous researchers. This research using the method of classification data mining algorithm C4.5 and Naïve Bayes is then performed comparative to both methods., The measurement of two methods using cross-validation, confusion matrix, and ROC curve. The result of this research is the best algorithm that can be used to predict disease hepatitis.

Copyrights © 2017






Journal Info

Abbrev

pilar

Publisher

Subject

Computer Science & IT

Description

Jurnal Pilar merupakan jurnal ilmiah yang diterbitkan oleh program studi sistem informasi STMIK Nusa Mandiri. Jurnal ini berisi tentang karya ilmiah yang bertemakan: Rekayasa Perangkat Lunak, Sistem Pakar, Sistem Penunjang, Keputusan, Perancangan Sistem Informasi, Data Mining, Pengolahan ...