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

KOMALASARI, ANNISA and Rini, Dian Palupi and Miraswan, Kanda Januar (2023) PERBANDINGA HASIL PREDIKSI TINGKAT RESIKO PENYAKIT JANTUNG KORONER MENGGUNAKAN FIS METODE TSUKAMOTO DAN METODE MAMDANI. Undergraduate thesis, Sriwijaya University.

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Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Fuzzy Inference System, Metode Tsukamoto, Metode Mamdani, Penyakit jantung koroner
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Annisa Komalasari
Date Deposited:	26 Jul 2023 02:26
Last Modified:	26 Jul 2023 02:26
URI:	http://repository.unsri.ac.id/id/eprint/121819

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