PEMBENTUKAN MODEL ARIMA UNTUK PERAMALAN INFLASI KELOMPOK BAHAN MAKANAN DI KOTA TERNATE

Rizal Rahman Teapon

Abstract


Abstract
ARIMA modeling and forecasting inflation foodstuffs in Ternate city is the 
purpose of this study. The method used in this research is ARIMA (Auto 
Regressive Moving avarage). The results showed that ARIMA (6,1,6) is the best 
model because it has been qualified in the test parameter estimation, diagnostic 
test/evaluation models and instrument evaluation test for fault models.

Keywords : Inflation foodstuffs, ARIMA (Auto Regressive Moving avarage),
ARIMA (6,1,6)


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