TY - JOUR AU - Lishania, Irene AU - Goejantoro, Rito AU - Nasution, Yuki Novia PY - 2020 TI - Perbandingan Klasifikasi Metode Naive Bayes dan Metode Decision Tree Algoritma (J48) pada Pasien Penderita Penyakit Stroke di RSUD Abdul Wahab Sjahranie Samarinda JF - EKSPONENSIAL; Vol 10 No 2 (2019) KW - N2 - Classification is a technique to form a model of the data that has not been classified, then the model can be used to classify new data . Naive Bayes is a classification using probability method based on the Bayes theorem with a strong assumption of independence. The decision tree algorithm ( J48 ) is an implementation of the algorithm ( C4.5 ) that produces decision trees . In this research, will be compared the results of classification accuracy with the naive Bayes method and the decision tree algorithm ( J48 ) in stroke patients. That is, a person who has stroke will be classified by using the data of patients in Abdul Wahab Sjahranie Samarinda Hospital with 7 factors , namely age, gender , blood pressure , diabetes mellitus, dyslipidemia, uric acid levels and heart disease . The results showed that the decision tree algorithm ( J48 ) method has the high er level of accuracy than the method naive Bayes for stroke classification. UR - https://jurnal.fmipa.unmul.ac.id/index.php/exponensial/article/view/571