SISTEM PAKAR PREDIKSI PENYAKIT STROKE MENGGUNAKAN METODE NAÏVE BAYES BERBASIS WEB

This study focuses on the Naïve Bayes classification to predict disease, mainly stroke disease, using a system. The purpose of this study was to know the accuracy of the Naïve Bayes method in giving a warning to someone with an indication of stroke and find out which parameters have the most influence on stroke.The method used in this study is the Naïve Bayes classification with the calculation of Prior Probability and Posterior Probability and HMAP (Hypothesis Maximum Apriori Probability) as a determinant of the diagnosis decision.In this study, the Naïve Bayes method was used to predict stroke disease quickly by providing web-output results on whether or not a person is indicated for a stroke. So that it can be more useful for society because it can be accessed by many users