PERBANDINGAN FUZZY INFERENCE SYSTEM METODE MAMDANI DAN TSUKAMOTO UNTUK MEMPREDIKSI BANJIR DI PROVINSI SUMATERA SELATAN

SALSABILA, RIDHA AYU and Samsuryadi, Samsuryadi and Miraswan, Kanda Januar (2022) PERBANDINGAN FUZZY INFERENCE SYSTEM METODE MAMDANI DAN TSUKAMOTO UNTUK MEMPREDIKSI BANJIR DI PROVINSI SUMATERA SELATAN. Undergraduate thesis, Sriwijaya University.

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Abstract

Flood is the condition where the land that usually dry, surrounded by water. The defining factors such as rainfall and rain intensity in the certain time, and rain distribution that are variated can make the potential of flood. Because of that, flood predicting can helps to take the best action. With this study, it takes 2 parameters of reference, namely rainfall and rain intensity, also methods that can cope with uncertainty of which method is fuzzy inference system that is a framework for calculation based on the concept of fuzzy logic. This study uses Mamdani and Tsukamoto of fuzzy inference system methods to provide a solution by comparing the two to find which method result the more effective. Tests succeed by carried out using 60 test data that is used as a test sample for both inference methods, resulting a conclusion that the result of Tsukamoto method puts 6.568 as the RMSE error value, higher than Mamdani method that is more effective with 6.551 as the RMSE error value.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Banjir, Fuzzy, Metode Mamdani, Metode Tsukamoto, Prediksi
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > QA Mathematics > QA1-939 Mathematics > QA9.64.A56 Computer science. Fuzzy mathematics.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Ridha Ayu Salsabila
Date Deposited:	25 Aug 2022 07:06
Last Modified:	25 Aug 2022 07:06
URI:	http://repository.unsri.ac.id/id/eprint/77757

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