PENERAPAN FUNGSI KEANGGOTAAN NON LINIER PADA METODE FUZZY DECISION TREE ITERATIVE DICHOTOMISER 3 (ID3) UNTUK KLASIFIKASI PENYAKIT JANTUNG

RITONGA, NOVA ANDRIANI and Kresnawati, Endang Sri and Eliyati, Ning (2022) PENERAPAN FUNGSI KEANGGOTAAN NON LINIER PADA METODE FUZZY DECISION TREE ITERATIVE DICHOTOMISER 3 (ID3) UNTUK KLASIFIKASI PENYAKIT JANTUNG. Undergraduate thesis, Sriwijaya University.

	Text RAMA_44201_08011281823115.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
	Text RAMA_44201_08011281823115_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (7MB) | Request a copy
Preview	Text RAMA_44201_08011281823115_0008027701_0020115903_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (4MB) | Preview
	Text RAMA_44201_08011281823115_0008027701_0020115903_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (548kB) | Request a copy
	Text RAMA_44201_08011281823115_0008027701_0020115903_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (467kB) | Request a copy
	Text RAMA_44201_08011281823115_0008027701_0020115903_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_44201_08011281823115_0008027701_0020115903_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (184kB) | Request a copy
	Text RAMA_44201_08011281823115_0008027701_0020115903_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (407kB) | Request a copy
	Text RAMA_44201_08011281823115_0008027701_0020115903_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (631kB) | Request a copy

Abstract

According to data from World Health Organization (WHO) in 2021, an estimated 17,9 million people die from heart disease, which is the leading cause of death globally. This research discussed the classification of heart disease using the fuzzy decision tree iterative dichotomiser 3 (id3) method with a non-linear membership function. Making a decision tree that generates the rules, will be used in determining whether a patient has heart disease or not. The data used is data on heart disease patients from an academic medical center, namely Cleveland Clinic Foundation in the form of age, tresbps, chol, thalach, oldpeak, sex, chest pain, fasting blood sugar, restecg, exang, slope, ca, thal, and num. This research begins with making of fuzzy sets on numerical variable training data with non-linear membership function, making a decision tree with id3 algorithm, testing the rules on testing data using Mamdani inference then calculate the accuracy. That process is carried out on several different ratios of training data and testing data with FCT values by 70% and 80%. The highest accuration value is 85,19% with data ratio by 90:10 and FCT value by 75% to 80% having the same accuracy. The accuracy value means that out of 100 patients, 85 patients can be classified correctly by the resulting model.

Item Type:	Thesis (Undergraduate)
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA9.64.A56 Computer science. Fuzzy mathematics.
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Nova Andriani Ritonga
Date Deposited:	23 Nov 2022 03:00
Last Modified:	23 Nov 2022 03:00
URI:	http://repository.unsri.ac.id/id/eprint/82510

Actions (login required)

View Item