Journal of Data Insights
Vol 3 No 2 (2025): Journal of Data Insights

Forecasting the Price of Curly Red Chilies in Malang Regency With Using the ARIMA Method: Peramalan Harga Cabai Merah Keriting Di Kabupaten Malang Dengan Menggunakan Metode ARIMA

Ibrahim, Nur Hanifah (Unknown)
Salam, Burhanuddin Izzul (Unknown)
Nur, Indah Mafaati (Unknown)



Article Info

Publish Date
31 Dec 2025

Abstract

CChile is one of the hultikura plants that grows abundantly in Indonesia. In Indonesia, chilies are widely used as a cooking spice, making them a household staple. The increasing need for chilies (during the holidays) causes the demand for chilies to also increase. The increase in chile prices which is not directly proportional to chile production causes price changes. To maintain optimal availability of chilies, forecasting is needed to help make decisions and develop policies. One method that can be used for forecasting is the Autoregressive Integrated Moving Average (ARIMA) method. Based on the analysis results obtained, the best ARIMA model used in this research is the ARIMA model (0, 1, 0) which produces the smallest AIC value and MAPE of 2.664656%, the accuracy value is less than 10% which means that the forecasting ability with the ARIMA (0, 1, 0) model is very good.

Copyrights © 2025






Journal Info

Abbrev

jodi

Publisher

Subject

Computer Science & IT Mathematics

Description

The Journal of Data Insights is an open access publication for peer-reviewed scholarly journals. The Journal of Data Insights focuses on the processing, analysis and interpretation of data for data-driven decisions and solutions in industry, hospitals, government and universities. All articles ...