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OPTIMASI FUZZY TSUKAMOTO DALAM MEMPREDIKSI CURAH HUJAN DI KABUPATEN BANYUASIN MENGGUNAKAN ALGORITMA ARTIFICIAL BEE COLONY

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Penilaian

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Fuzzy inference system is one of the methods that can be used to predict the amount of rainfall. One of the common problems faced when implementing this fuzzy inference system is the difficulty in determining the boundary values of membership functions for each appropriate fuzzy set. One solution to overcome this problem is by applying optimization algorithms to help determine the boundary values of the appropriate fuzzy membership functions, such as the Artificial Bee Colony algorithm. The results of this study show that the Artificial Bee Colony algorithm is able to optimize Fuzzy Tsukamoto in predicting rainfall in Banyuasin Regency, resulting in a MAPE value of 26.02%, while rainfall prediction using the Fuzzy Tsukamoto method without optimization yields a larger MAPE value of 76.90%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307002504	T112309	T1123092023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1123092023

Publisher

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

Collation

xix, 69 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)

Sistem Pakar
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEPTA

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