Komparasi Metode Klasifikasi Data Mining Algoritma C4.5 dan Naive Bayes Untuk Prediksi Penyakit Hepatitis

Komparasi Metode Klasifikasi Data Mining Algoritma C4.5 dan Naive Bayes Untuk Prediksi Penyakit Hepatitis

• By Septiani, Wisti Dwi;
• Jurnal
• 380
• 76-84

Hepatitis is an inflammation disease of the liver because 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 method 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.

• Katakunci Hepatitis, Data Mining, Algoritma C4.5, Naive Baye
• URL http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/149
• Penerbit PPPM STMIK Nusa Mandiri, Jakarta DKI Jakarta

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