CD Skripsi
Perbandingan Model Pemulusan Eksponensial Winter Dengan Arma(P, Q) Untuk Peramalan Stok Beras Bulog Pekanbaru
This final project discusses Winter’s Smoothing model and ARMA(p, q) model
with numerical computation. Both of these models are used to predict the
availability of rice stock at BULOG Pekanbaru in 2015 by considering the
seasonal factor from time series span data. Then a comparison is carried
out for both forecasting models to select the right forecasting model with
minimum Mean Square Error.
Key words: time series, Winter smoothing model, ARMA(p, q) model, mean
square error
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