Skripsi

IMPLEMENTASI ALGORITMA ITERATIVE DICHOTOMIZER THREE (ID3) PADA FUZZY DECISION TREE UNTUK KLASIFIKASI PENYAKIT JANTUNG

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Heart disease is one of the diseases with high mortality rates worldwide. The fuzzy decision tree method was chosen for its ability to handle uncertainty and the complexity of medical data, while the ID3 algorithm is used to select the best attribute at each decision tree node based on information gain. The data used includes medical information related to risk factors for heart disease, such as age, gender, blood pressure, cholesterol levels, and others. This study aims to develop a classification model for heart disease based on fuzzy decision trees using the ID3 algorithm. The model evaluation will be conducted using performance metrics such as accuracy, precision, recall to assess the effectiveness of the model in classification. The results of this research are expected to contribute to improving early diagnosis of heart disease through the development of a more accurate decision support system. Additionally, the application of the ID3 algorithm to fuzzy decision trees is expected to provide more easily interpretable insights.

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Detail Information

Series Title

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Call Number

T1535012024

Publisher

Indralaya : Prodi Ilmu Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2024

Collation

xiv, 58 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.337 07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Fuzzy Decision Tree
Prodi Ilmu Matematika

Specific Detail Info

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Statement of Responsibility

KA

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