PERAMALAN HARGA BAHAN POKOK CABAI RAWIT DI KOTA PALEMBANG MENGGUNAKAN FUZZY TIME SERIES CHEN

ALFARIS, MUHAMMAD GHUFRON KHAICAL and Yusliani, Novi and Buchari, Muhammad Ali (2021) PERAMALAN HARGA BAHAN POKOK CABAI RAWIT DI KOTA PALEMBANG MENGGUNAKAN FUZZY TIME SERIES CHEN. Undergraduate thesis, Sriwijaya University.

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Abstract

Cayenne pepper for indonesian people, especially South Sumatra is one of the foodstuffs that have a high level of consumption, based on the ministry of agriculture's record for the consumption needs of chili peppers average - the national average is in the range of 1,296 million - 1,320 million tons per type of chili per year. However, fluctuations in the price of chili in Indonesia still always occur in a certain period so it takes a model of cayenne pepper price forecasting that has a good performance. One of the forecasting methods is Fuzzy Time Series Chen which has a good level of accuracy and produces efficient calculations of fuzzy relationships. In this study, Fuzzy Time Series Chen used as a forecasting model and Mean Absolute Percentage Error (MAPE) as a method of calculating errors in determining the performance of forecasting against the daily price data of cayenne pepper in palembang in the period 1 April 2020 to 1 April 2021. The results of this study obtained an error score of 7.7723 percent.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	forecasting, fuzzy time series
Subjects:	Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages 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:	Muhammad Ghufron Khaical Alfaris
Date Deposited:	14 Sep 2021 02:43
Last Modified:	14 Sep 2021 02:43
URI:	http://repository.unsri.ac.id/id/eprint/53671

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