Integra: Journal of Integrated Mathematics and Computer Science
Vol. 1 No. 3 (2024): November

Application of GSTARMA Spatial-Temporal Model for Inflation Analysis in South Sulawesi Province

Sari, Dede Ratna (Unknown)
Widiarti (Unknown)
Nurvazly, Dina Eka (Unknown)
Usman, Mustofa (Unknown)
Loves, Luvita (Unknown)

Article Info

Publish Date
13 Nov 2024

Abstract

The Generalized Space-Time Autoregressive Moving Average (GSTARMA) model is a development of the time series model that can capture both spatial and temporal dynamics simultaneously. This study uses the GSTARMA model to analyze inflation data in five cities in South Sulawesi Province from January 2017 to October 2024. The GSTARMA model obtained is GSTARMA (1,0,1) with a cross-correlation normalization spatial weight matrix. The results of the analysis indicate a spatial influence between locations and temporal relationships in the inflation data.

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Journal Info
Integra: Journal of Integrated Mathematics and Computer Science
Website

Abbrev

integra

Publisher

Universitas Lampung

Subject

Computer Science & IT Mathematics

Description

Integra : Journal of Integrated Mathematics and Computer Science is the international journal in the field of Mathematics and Computer Science. Integra : Journal of Integrated Mathematics and Computer Science publish original research work both in a full article or in a short communication form, ...