Skripsi

KLASIFIKASI SERANGAN JANTUNG MENGGUNAKAN METODE NAIVE BAYES

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Heart disease is one of the diseases that causes many deaths, both in developed and developing countries. The high mortality rate due to heart disease is attributed to the lack of attention in society towards healthy eating and the absence of periodic health check-ups. Heart disease occurs when the heart's performance deviates from normal or experiences abnormalities. Several causes of heart disease include heart attacks, age, cholesterol, high blood pressure, and others. In this study, the author developed software to perform "Heart Disease Classification Using the Naïve Bayes Algorithm". The software was created using a public dataset on heart disease consisting of 303 data points. Various data split conditions were applied during training and testing, with data percentages such as 70/30, 60/40, 80/20, and 90/10. After testing the software, the best results were obtained with an 90/10 data split percentage, yielding precision score 0.800438, recall 0.787815, f score 0.773249, and accuracy score 0.774193.

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Availability

Detail Information

Series Title

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Call Number

T1595832024

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

ix, 86 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.312 07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Data mining
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

TUTI

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