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PERBANDINGAN METODE FUZZY TIME SERIES CHEN DAN LEE UNTUK PREDIKSI HARGA PUPUK UREA

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Penilaian

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Price fluctuation of urea fertilizer can result the difference between the selling price and production costs to be low, or even cause losses. In order to reduce the possibility of loss, a way is needed to predict the price of urea fertilizer in the future. The method used to predict the price of urea fertilizer is a fuzzy time series. The fuzzy time series used is Chen's fuzzy time series which is refined from Song and Chissom fuzzy time series due to the lack of accuracy in predicting data. On the other hand, Lee's fuzzy time series is considered better than Chen's fuzzy time series in terms of accuracy. So that in this study a test was carried out using Chen and Lee's fuzzy time series on urea fertilizer data for the period 2018 - 2021. The test results produced an MSE value of 1187,61 for Lee's Fuzzy Time Series method while for Chen's Fuzzy Time Series it produced an MSE value of 1210,14.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000144	T85877	T858772023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T858772023

Publisher

Inderalaya : ., 2022

Collation

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Language

Indonesia

ISBN/ISSN

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Classification

005.360 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)

Sistem Pakar
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEPTA

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