@misc{eprints54487,
           month = {Pebruari},
           title = {METODE PENGHALUSAN EKSPONENSIAL HOLT-WINTERS DAN
METODE SEASONAL AUTOREGRESSIVE INTEGRATED
MOVING AVERAGE (SARIMA) PADA PERAMALAN
DATA DERET BERKALA MUSIMAN},
          author = {1517031025 ANISA RISKA ANDI SAPUTRI},
         address = {UNIVERSITAS LAMPUNG},
       publisher = {FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM},
            year = {2019},
             url = {http://digilib.unila.ac.id/54487/},
        abstract = {The aim of this study is to examine Holt-Winters Multiplicative Exponential
Smoothing Method and Seasonal Autoregressive Integrated Moving Average
(SARIMA) Method and to compare this two methods in forecasting data on the
number of train passengers in Indonesia. Based on the results of the study, it was
found that the Holt-Winters Multiplicative Exponential Smoothing Method was
more feasible than the SARIMA Method in predicting the number of train
passengers in Indonesia in the future period.
Keywords: Holt-Winters, Multiplicative, SARIMA, MSE.


Tujuan dari penelitian ini adalah untuk mengkaji Metode Penghalusan
Eksponensial Holt-Winters Multiplikatif dan Metode Seasonal Autoregressive
Integrated Moving Average (SARIMA) serta membandingkan kedua metode
tersebut pada peramalan data jumlah penumpang Kereta Api di Indonesia.
Berdasarkan hasil penelitian diperoleh bahwa Metode Penghalusan Eksponensial
Holt-Winters Multiplikatif lebih layak digunakan dibandingkan Metode SARIMA
dalam meramalkan jumlah penumpang kereta api di Indonesia periode kedepan.
Kata kunci: Holt-Winters, Multiplikatif, SARIMA, MSE.}
}