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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003476	T77757	T777572022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T777572022

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xx, 89 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.307

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Kecerdasan Buatan
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEPTA

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