VARIANSI: Journal of Statistics and Its Application on Teaching and Research
Vol. 4 No. 3 (2022)

Peramalan Jumlah Produksi Kelapa Sawit Provinsi Kalimantan Timur Menggunakan Metode Singular Spectrum Analysis

Siringoringo, Meiliyani (Unknown)
Wahyuningsih, Sri (Unknown)
Purnamasari, Ika (Unknown)
Arumsari, Melisa (Unknown)

Article Info

Publish Date
15 Dec 2022

Abstract

Singular spectrum analysis (SSA) is a nonparametric method that does not rely on assumptions such as stationary nature or residual normality. SSA separates time series data into its components, which are trend, seasonality, and error (noise). This study aimed to obtain forecasting results for the amount of oil palm production in East Kalimantan Province for the period January 2021 to December 2021 using SSA. Based on the results of the data analysis, in the process of forming the forecasting model with in-sample data, the parameter window length (L) was 24, which produced a MAPE value of 0.464%, and while the forecasting model validation process used out-sample data, it produced a MAPE value of 41.172%.

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Journal Info
VARIANSI: Journal of Statistics and Its Application on Teaching and Research
Website

Abbrev

variansi

Publisher

Universitas Negeri Makassar

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics

Description

VARIANSI: Journal of Statistics and Its application on Teaching and Research memuat tulisan hasil penelitian dan kajian pustaka (reviews) dalam bidang ilmu dasar ataupun terapan dan pembelajaran dari bidang Statistika dan Aplikasinya dalam pembelajaran dan riset berupa hasil penelitian dan kajian ...