KOMPARASI METODE KLASIFIKASI DECISION TREE ALGORITMA C4.5 DAN NAIVE BAYES DALAM MEMPREDIKSI SERANGAN JANTUNG

SALSABILA, ANGGRAINI and Kresnawati, Endang Sri and Resti, Yulia (2023) KOMPARASI METODE KLASIFIKASI DECISION TREE ALGORITMA C4.5 DAN NAIVE BAYES DALAM MEMPREDIKSI SERANGAN JANTUNG. Undergraduate thesis, Sriwijaya University.

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Abstract

Heart attack is a heart disorder when the heart muscle does not receive blood flow. This condition interferes with the function of the heart in circulating blood throughout the body. According to WHO in Indonesia in 2021, there are 17.8 million deaths from heart attacks. Therefore, it is quite important to predict someone who has a heart attack so that it can be treated early. In this study, secondary data was used taken from the kaggle.com website, this data has 13 predictor variables and 1 target variable with 303 data on 2 classifications of heart attacks. Prediction of heart attack classification using the Naïve Bayes and Decision Tree methods.The results of this study are that for Split data 90% and 10% the accuracy rate for Naïve Bayes is 96,77% and Decision Tree is 77,42%. Keyword: Heart Attack, Naïve Bayes, Decision Tree

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Naive Bayes, Decision Tree, Serangan Jantung
Subjects:	Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics > QA279.M67 Experimental design. Response surfaces (Statistics)
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Anggraini Salsabila
Date Deposited:	11 Apr 2023 03:38
Last Modified:	11 Apr 2023 03:38
URI:	http://repository.unsri.ac.id/id/eprint/94998

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