ELEPHANT HERDING OPTIMIZATION PADA HIGH ORDER FUZZY TIME SERIES UNTUK FORECASTING HARGA BRENT OIL

PUTRA, MUHAMMAD IRFAN TRIANANTO and Rini, Dian Palupi and Miraswan, Kanda Januar (2020) ELEPHANT HERDING OPTIMIZATION PADA HIGH ORDER FUZZY TIME SERIES UNTUK FORECASTING HARGA BRENT OIL. Undergraduate thesis, Sriwijaya University.

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Abstract

Crude oil is one of the main energies needed to carry out production activities. One type of crude oil that is used as world price standards is Brent oil. Fluctuations in Brent oil prices have a significant impact on economic growth in Indonesia, therefore it requires an accurate price forecast method, such as Fuzzy Time Series (FTS). However, FTS still has shortcomings such as short time logical relationships and static interval partitions. One possible solution to this problem is to use High Order FTS and interval optimization. This research implements Elephant Herding Optimization (EHO) as the optimization method, FTS Chen as the forecast method, and Mean Absolute Percentage Error (MAPE) as the measure of error. The optimization test results produce an error value of 1%, smaller than the FTS (1.955%), and High Order FTS (1.244%).

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Elephant Herding Optimization, Fuzzy Time Series Chen, High Order Fuzzy Time Series, Mean Absolute Percentage Error, harga Brent oil
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:	Users 7504 not found.
Date Deposited:	19 Aug 2020 02:53
Last Modified:	19 Aug 2020 02:53
URI:	http://repository.unsri.ac.id/id/eprint/33340

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