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OPTIMASI FUZZY INFERENCE SYSTEM MAMDANI DENGAN ALGORITMA FIREFLY UNTUK MEMPREDIKSI PENJUALAN SEMEN

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Penilaian

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Nowadays, business competition is increasing, so companies need accurate predictions of cement sales to maximize company profits. Cement sales data tends to be uncertain, so a flexible method with tolerance for uncertain data is required, one of which is Fuzzy Inference System Mamdani. Optimization algorithms such as the Firefly Algorithm are necessary to obtain the optimal membership function limit. The best optimization with the Firefly Algorithm is obtained with a combination of parameters iteration = 40, population = 30, alpha = 0,1, beta0 = 0,25, and gamma = 0,1. The results showed that Fuzzy Inference System Mamdani optimized with the Firefly Algorithm produced a lower MAPE value of 8,4 while the prediction with Fuzzy Inference System Mamdani without optimization produced a MAPE value of 13,33.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000143	T85843	T858432023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T858432023

Publisher

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

Collation

xviii, 104 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.210 7

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)

Prodi Teknik Informatika
Sistem Analis dan Desain Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

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