Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal JASDS: Journal of Applied Statistics and Data Science
Anwar, Ken Najwa Salsabila
Unknown Affiliation
Computer Science & IT Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Forecasting the Price of Broiler Eggs Using the Generalized Space-Time Autoregressive Method in 3 Regions with The Highest Egg Prices in East Java Anwar, Ken Najwa Salsabila
Journal of Applied Statistics and Data Science Vol. 3 No. 1 (2026): Journal of Applied Statistics and Data Science
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jasds.2026.003.01.1

Abstract

Time series is the data that is compiled based on the time sequence. Not only time series data, but there is also some data that have a relationship between time and location, which is called space-time data. One of the analyses used in space-time data is Generalized Space-Time Autoregressive (GSTAR). This study applied the GSTAR method to create a model for the price of broiler eggs in Pamekasan Regency, Sampang Regency, and Sumenep Regency and also do the forecasting for the price of broiler eggs for the next 12 months. Modeling using GSTAR for the price of broiler eggs shows that all parameters are not significant. Therefore, changes in the prices of broiler eggs are not influenced by the price of broiler eggs from other regencies or prices from their regency. However, based on the MAPE and RMSE, the best model is GSTAR ( )I(1) with inverse distance weight. The RMSE and MAPE of the GSTAR ( )I(1) model with inverse distance weight are 1.565,85 and 4,68%. Keywords: broiler egg price, GSTAR, inverse distance weight, uniform weight, normalized cross-correlation weight.
Co-Authors