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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Bowo Hirwono
Universitas Teknologi Yogyakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Implementasi Metode Naïve Bayes untuk Klasifikasi Penderita Penyakit Jantung Bowo Hirwono; Arief Hermawan; Donny Avianto
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 3 (2023): JULY-SEPTEMBER 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i3.910

Abstract

Heart attack is a very serious heart disorder. This disorder occurs when the heart muscle does not get good blood flow. This condition will interfere with the function of the heart in flowing blood flow throughout the body. This study aims to develop a system capable of classifying people with heart disease using the Naïve Bayes method. Naïve Bayes is a method that works based on the probability that a person has a heart disease or not based on their medical record data. This algorithm is used with the aim of calculating the probability of a person suffering from heart disease based on their medical records. This data was obtained from the University of California Irvine Machine Learning website with a total of 303 datasets with 13 attributes. This research was conducted by dividing the data into 75% for training data and 25% for training data. The results of this study indicate that the Naïve Bayes algorithm used gives a fairly high accuracy value of 86.84%.
Co-Authors Arief Hermawan Donny Avianto