KOMPARASI TINGKAT AKURASI ALGORITMA NAÏVE BAYES DAN C4.5 DALAM KLASIFIKASI PENYAKIT JANTUNG

TIURMA, JUNITA SITUMORANG (2019) KOMPARASI TINGKAT AKURASI ALGORITMA NAÏVE BAYES DAN C4.5 DALAM KLASIFIKASI PENYAKIT JANTUNG. Undergraduate Thesis thesis, Institut Telkom Purwokerto.

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Abstract

ABSTRACT Heart disease is one of the deadliest diseases in the world, so many previous studies have been done to predict heart disease. Prediction of heart disease can be done by doing a classification based on a person's heart condition. Classification can be done using data mining. Data mining is the science that uses past data as a reference to get the new discovery of study . In this study a method comparison was conducted using C4.5 and Naïve Bayes methods to find out the most accurate algorithms in predicting heart disease. Based on the results of the study indicate that the accuracy value of C4.5 is higher, namely 96.2963% while Naïve Bayes has an accuracy value of 88.8889%. This research is expected to provide benefits to science in the field of information technology by knowing the application and the appropriate level of accuracy of the comparison of the C4.5 and Naïve Bayes algorithms in the heart dataset assessed. Keywords - Accuracy, C4.5, Data Mining, Heart Diasease, Classification, Naïve Bayes

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