Formation of neural network models for time series data with intervention and its application in CPI data

R. Kusumawati,
D. U. Wutsqa,
R. Subekti,

Abstract


The purpose of this study is to get an optimal forecasting model of CPI data in Yogyakarta using neuralnetwork models that is built with the involvement of the intervention effect. This case happens because of the policyof rising fuel prices. CPI education, recreation, and sport have a pattern like a step function, so that the exact RNNmodels are the models with the input as the truncated polynomial spline regression models. The results of modelpredictions both training and testing data showed high accuracy.

 

Key words: neural network, intervention, CPI


Full Text:

PDF


DOI: https://doi.org/10.21831/jsd.v3i2.4167

Refbacks

  • There are currently no refbacks.


Copyright (c)


Printed ISSN (p-ISSN): 2085-9872
Online ISSN (e-ISSN): 2443-1273

Indexer:
     

Creative Commons License
 
Jurnal Sains Dasar  is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
 
Free counters!
 
View My Stats