Analisa Penyakit Jantung Menggunakan Algoritma Naïve Bayes

Andri Nofiar Am (Politeknik Kampar)
Mahdiawan Nurkholifah (STMIK Amik Riau)
Fenty Kurnia Oktorina (Politeknik Kampar)

Journal of System and Computer Engineering
Vol 4 No 1 (2023): JSCE: Januari 2023

Every year more than 2 million Americans die from heart disease which is the number one killer in the world. The results of the Sample Registration System (SRS) survey show that heart disease is the highest cause of death at all ages after stroke, which is 12.9%. The method used in this study uses the Naïve Bayes algorithm. The purpose of this study is to determine if anyone with heart disease has a stroke. From the research results obtained by splitting data using 80:20 to get a prediction accuracy rate of 83% for heart disease prediction cases. In the trial results using the label test data obtained, namely no stroke.