Skripsi

KLASIFIKASI PENYAKIT JANTUNG MENGGUNAKAN METODE RANDOM FOREST

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Penilaian

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Heart disease has modifiable risk factors. Many people have a heart attack without any prior symptoms. Over the past 50 years, more and more people are getting coronary heart disease, and some of the main causative factors have been identified. Previously, heart disease was predicted to be 30% of the causes of death in humans. WHO estimates that in 2005, deaths caused by heart disease in humans. Therefore, a system was created that can classify human heart disease from symptoms that have similarities. In the field of medicine this intelligent system can help classify human heart disease. This system uses the Random Forest method to classify human heart disease using two classes. The Random Forest method uses a dataset of 303 with a total of 10 parameters. In this study, 2 classes were used, namely the detected class and the healthy class. The performance of Random Forest gives the greatest accuracy is 93.00% and the use of trees with a larger number equal to 100 will give the greatest accuracy value. Keywords : Classification, Random Forest, Accuracy, Human Heart Disease.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002547	T54585	T545852021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T545852021

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xiii, 105 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Pemrosesan Data, Teknik Informatika
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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