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Vivi Dina Melani
Universitas Syiah Kuala
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PEMILIHAN MODEL ARFIMA-GPH DAN INTERVENSI MULTI INPUT PADA INDEKS HARGA PERDAGANGAN BESAR INDONESIA Vivi Dina Melani; Miftahuddin Miftahuddin; Muhammad Subianto
Jurnal Gaussian Vol 11, No 2 (2022): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.v11i2.33116

Abstract

IHPBI is an early indicator in consumer price analysis. When the IHPBI increases, it results in inflation. When inflation occurs, Indonesia's economic stability begins to be disturbed, so in order to suppress inflation, the government raises interest rates and when the circulation of money begins to decrease, the prices of goods and services will return to normal. This research to see IHPBI in the next 3 years through the ARFIMA method and multi-input intervention with the condition that the data must contain long memory and have an intervention pattern. This is done to determine the selected model, namely ARFIMA (1,d,0) with a d value of 0.1579, intervention in January 2009 with ARIMA (1,1,1) of order (b=0, s=1, r=1) and November 2013 intervention with ARIMA (1,1,2) order(b=1, s=1, r=0).
Co-Authors Miftahuddin Miftahuddin Muhammad Subianto