Inflation Forecasting for East Kalimantan Province Using Hybrid Singular Spectrum Analysis- Autoregressive Integrated Moving Average Model
نویسندگان
چکیده
The Singular Spectrum Analysis (SSA)-Autoregressive Integrated Moving Average (ARIMA) hybrid method is a good combination of forecasting methods to improve accuracy and suitable for economic data that tends have trend seasonal patterns, one which inflation data. purpose this study obtain the results East Kalimantan Province in 2021 using SSA-ARIMA model. SSA-ARIMA(1,1,1) model overall experienced an increase highest occurred December 0.92% with level based on Root Mean Square Error (RMSE) was 0.069399 Absolute Percentage (MAPE) 32.61084%
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ژورنال
عنوان ژورنال: Jurnal Matematika Statistik dan Komputasi
سال: 2021
ISSN: ['2614-8811', '1858-1382']
DOI: https://doi.org/10.20956/j.v18i1.14284