YAVIN, NICHOLAS and Rini, Dian Palupi and Marieska, Mastura Diana (2023) OPTIMASI FUZZY INFERENCE SYSTEM MAMDANI DENGAN ALGORITMA FIREFLY UNTUK MEMPREDIKSI PENJUALAN SEMEN. Undergraduate thesis, Sriwijaya University.
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Abstract
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.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Cement Sales, Prediction, Fuzzy Inference System Mamdani, Firefly Algorithm |
Subjects: | 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: | Nicholas Yavin |
Date Deposited: | 12 Jan 2023 04:18 |
Last Modified: | 12 Jan 2023 04:18 |
URI: | http://repository.unsri.ac.id/id/eprint/85843 |
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