PENGARUH ALGORITMA GENETIKA TERHADAP PREDIKSI STADIUM PENYAKIT JANTUNG MENGGUNAKAN METODE FUZZY HIERARCHICAL MODEL

AFANDI, DEFRIAN and Rini, Dian Palupi and Rodiah, Desty (2021) PENGARUH ALGORITMA GENETIKA TERHADAP PREDIKSI STADIUM PENYAKIT JANTUNG MENGGUNAKAN METODE FUZZY HIERARCHICAL MODEL. Undergraduate thesis, Sriwijaya University.

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Abstract

The Fuzzy Hierarchical Model method can be used to predict the stage of heart disease. The use of the Fuzzy Hierarchical Model on complex problems is still not optimal because it is difficult to find a fuzzy set that provides a more optimal solution. This method can be improved by changing the membership function constraints using Genetic Algorithm to get better predictions. Tests carried out using 282 heart disease patient data resulted in a Root Mean Squared Error (RMSE) value of 0.55 using the best Genetic Algorithm parameters, including population size of 140, number of generations of 125, and a combination of cross-over rate and mutation rate of 0.4 and 0.6 whereas the RMSE value generated by the Fuzzy Hierarchical Model before being optimized by the Genetic Algorithm was 0.89. These results indicate an increase in the predictive value of the Fuzzy Hierarchical Model after being optimized using the Genetic Algorithm.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Fuzzy Hierarchical Model, Algoritma Genetika, Prediksi, Penyakit Jantung
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:	Mr. Defrian Afandi
Date Deposited:	11 Jan 2022 07:00
Last Modified:	11 Jan 2022 07:00
URI:	http://repository.unsri.ac.id/id/eprint/61025

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