Vebryana Wahyuningsih, Putriaji Hendikawati
Variations in time series data that occur due to the effects of calendar factors such as holidays, seasons, or differences in the number of days in a month are referred to as calendar variations. Time series problems are not always linear or nonlinear. Instead, they sometimes contain both (linear and nonlinear) at once hence hybrid models can be used to model time series problems. Research was conducted on food prices in Central Java that are affected by calendar variations, namely beef and chicken egg price data. The performance of these methods is compared using RMSE and MAPE accuracy measures. The hybrid ARIMAX-NN and Reg-ARIMA methods produce the smallest RMSE and MAPE values compared to other methods, respectively. © 2024, Prince of Songkla University. All rights reserved.
Department of Mathematics, Faculty of Mathematics and Natural Science, Semarang State University, Semarang, 50229, Indonesia
Research at a Glance
Register to unlock
Topics & SDG Alignment
Register to unlock
Collaboration
Register to unlock
Author Profile (Selected)
Register to unlock
References Overview
Register to unlock
Journal & Source
Register to unlock
Metadata & Integrity
Register to unlock