Image of IMPLEMENTASI METODE FUZZY TIME SERIES CHEN DAN MARKOV CHAIN DALAM MEMPREDIKSI HARGA DAGING AYAM DI KOTA PALEMBANG

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IMPLEMENTASI METODE FUZZY TIME SERIES CHEN DAN MARKOV CHAIN DALAM MEMPREDIKSI HARGA DAGING AYAM DI KOTA PALEMBANG

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Predicting chicken meat price is done to get over the problems of frequent and unpredictable chicken meat price changes. This study discusses the implementation of Fuzzy Time Series Chen and Fuzzy Time Series Markov Chain for predicting the price of chicken meat in Palembang city. Both methods of Fuzzy Time Series are used based on the difference in calculations. In calculating prediction, Fuzzy Time Series Chen is not affected by previous values while Fuzzy Time Series Markov Chain is affected by previous values. This study aims to find out the best method between Fuzzy Time Series Chen and Fuzzy Time Series Markov Chain in predicting the price of chicken meat. D1, D2, and a number of an interval are used as parameters for calculating prediction. The effects of using these parameters are on forming interval lengths, fuzzification, and prediction results. Based on the test results, the lowest MSE and MAPE for Fuzzy Time Series Chen are 7199707,14 and 6,67% by using parameters D1=5000, D2=350, and a number of an interval=14. The lowest MSE and MAPE Fuzzy Time Series Markov Chain are 2004422,3 and 3,45% by using parameters D1=400, D2=350, and a number of an interval =15.

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Inventory Code Barcode Call Number Location Status
2307000138T86147T861472022Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T861472022
Publisher
Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
xiv, 94 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.507
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Teknik Informatika
Program Aplikasi dengan Kegunaan Khusus
Specific Detail Info
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Statement of Responsibility
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