Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi
Volume 12 Issue 2 December 2024

Perbandingan Fuzzy Time Series Chen dan Cheng untuk Peramalan Harga Beras di Kabupaten Banyumas

Sari, Dian Kartika (Unknown)
Sa'adah, Aminatus (Unknown)



Article Info

Publish Date
01 Dec 2024

Abstract

Indonesia is mostly an agricultural country. Most people here make a living from farming. Rice is a major crop in Indonesia. The price of rice is very important to the economy, especially in farming areas like Banyumas. Fluctuating rice prices can affect the economic lives of both farmers and consumers in the region. The rapid fluctuation in rice prices and the uncertainty of future prices demand the need for rice price forecasting. This study uses fuzzy time series to forecast rice prices. The prediction models used are the Chen model and the Cheng model. To calculate the accuracy of the models, MAPE calculations are employed. Based on the results, the MAPE value for the Chen model is 0.957539%, and for the Cheng model, it is 0.477921%. The results indicate that the accuracy of the Cheng model is higher than that of the Chen model, meaning that the Cheng model is better suited for forecasting rice prices in Banyumas Regency.

Copyrights © 2024






Journal Info

Abbrev

Euler

Publisher

Subject

Computer Science & IT Mathematics

Description

Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in the research. Euler disseminates new research results in all areas of mathematics and their ...