Journal of Statistics and Data Science
Vol. 1 No. 1 (2022)

Forecasting A Weekly Red Chilli Price in Bengkulu City Using Autoregressive Integrated Moving Average (ARIMA) and Singular Spectrum Analysis (SSA) Methods

Putriasari, Novi (Unknown)
Nugroho, Sigit (Unknown)
Rachmawati, Ramya (Unknown)
Agwil, Winalia (Unknown)
Sitohang, Yosep O (Unknown)

Article Info

Publish Date
25 Apr 2025

Abstract

Red chili occupies a strategic position in the Indonesian economic structure because its use applies to almost all Indonesian dishes. Therefore, controlling the price of red chili is a necessity to maintain national economic stability. The purpose of this research is to forecast a red chili weekly price using ARIMA and SSA based on the weekly data of chili prices from January 2016 - December 2019 sourced from Statistics Indonseia (BPS) Branch Office of Bengkulu Province. The data have been analyzed using software R. Based on MAPE, ARIMA K (2,1,2) provides the best forecasting with value 0.49% while SSA 10.64%.

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Journal Info
Journal of Statistics and Data Science
Website

Abbrev

jsds

Publisher

Universitas Bengkulu

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Other

Description

Established in 2022, Journal of Statistics and Data Science (JSDS) publishes scientific papers in the fields of statistics, data science, and its applications. Published papers should be research-based papers on the following topics: experimental design and analysis, survey methods and analysis, ...