Skripsi

PERBANDINGAN HASIL PREDIKSI TINGKAT RESIKO PENYAKIT JANTUNG KORONER MENGGUNAKAN FIS METODE TSUKAMOTO DAN METODE MAMDANI

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Penilaian

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This study examines and compares the results of the Fuzzy Inference System using the Tsukamoto method and the Mamdani method in predicting the risk level of coronary heart disease. A total of 47 data were used in this experiment with input variables including age, blood sugar, cholesterol, blood pressure, and maximum heart rate. The output variable is the risk level, which is determined based on expert opinions. The evaluation of the prediction system used in this study is MAPE Based on the MAPE results of both methods used, the Tsukamoto method yielded a MAPE of 20.801%, while the Mamdani method yielded a MAPE of 21.078%. Therefore, the Tsukamoto Fuzzy Inference System demonstrates a higher level of accuracy compared to the Mamdani Fuzzy Inference System.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307002854	T121819	T1218192023	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1218192023

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer., 2023

Collation

xvii, 78 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

519.207

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Teknik Informatika
Teori Perbandingan--Prediksi

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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