PERBANDINGAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN TRIPLE EXPONENTIAL SMOOTHING PADA PERAMALAN NILAI EKSPOR DI INDONESIA

Rindang Ndaru Puspita

Abstract


Exports are a source of foreign exchange that can affect the level of the country's economy and become a benchmark in determining the quality of the country. The value of Indonesian exports expressed in US Dollars is a monthly fluctuating time series data. In an effort to control the value of Indonesia's exports, it is necessary to have the right strategy, one of strategies is forecasting the value of exports in the future. To determine an appropriate forecasting method, the MAPE results from the Double Exponential Smoothing and Triple Exponential Smoothing are compared. From the research, the results of the prediction of the value of Indonesia's exports for the next 7 periods, from June 2022 to December 2022, the most accurate after a comparison of the MAPE value is closest to zero, the result is Triple Exponential Smoothing method more accurate for forecasting the value of Indonesian exports, this is because historical data on the value of Indonesian exports shows a trend and seasonal pattern at the same time

Keywords


Export; Forecasting; Double Exponential Smoothing; Triple Exponential Smoothing

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References


Adhianto, M. I. P., Bachtiar, F. A., and Dewi, R. K. (n.d.). “Perbandingan Double Exponential Smoothing dan Triple Exponential Smoothing untuk Peramalan Jumlah Produksi Padi di Kota Surakarta,” 9.

Alamsyah, A. R. B. (2021), “Penerapan Metode Peramalan Double Exponential Smoothing dan Triple Exponential Smoothing (Holt Winter) pada Data Tingkat Perubahan Upah Nominal Harian Buruh,” RPubs.

Amir, M. S. (2004), Strategi Memasuki Pasar Ekspor, Jakarta: PPM.

Anjasari, D. H., Listiwikono, E., and Yusuf, F. I. (2018), “Perbandingan Metode Double Exponential Smoothing Holt dan Metode Triple Exponential Smoothing Holt-Winters untuk Peramalan Wisatawan Grand Watu Dodol,” 14.

Kemendag (2022), “Total Ekspor Impor,” Satu Data Perdagangan.

Lailiyah, W. H. (2018), “Penerapan Metode Autoregressive Integrated Moving Average (Arima) pada Peramalan Nilai Ekspor Di Indonesia,” 6, 8.

Lana, F. (2019), “Peramalan Nilai Ekspor Indonesia dengan Model Arima Dan Metode Fuzzy Time Series Logika Chen dan Logika Cheng,” Universitas Andalas.

Lewis, C. D. (1982), Industrial and business forecasting methods: a practical guide to exponential smoothing and curve fitting, London ; Boston: Butterworth Scientific.

Makridakis (1999), Metode dan aplikasi peramalan jilid 1, Jakarta: Jakarta Binarupa Aksara.

Marlianah, S., Meilani, C., Lina, Q., and Widodo, E. (2019), “Analisis Double Exponential Smoothing Untuk Meramalkan Utang Pemerintah Indonesia ke Luar Negeri (Studi Kasus : Data Utang Pemerintah Indonesia ke Luar Negeri dari Bulan Januari 2010 sampai April 2019),” 8.

Perdana, F. R., Kom, S., Kom, M., Wahyu, H., and Kom, S. (n.d.). “Perbandingan Metode DES (Double Exponential Smoothing) dengan TES (Triple Exponential Smoothing) Pada Peramalan Penjualan Rokok (Studi Kasus Toko Utama Lumajang),” 8.

Widodo, E., Destia, B., Putri, F. P., and Ramadhan, R. P. (n.d.). “Eksplorasi Metode Double Exponential Smoothing pada Peramalan Nilai Tukar USD Terhadap Rupiah,” 8.




DOI: https://doi.org/10.34312/jjps.v3i2.15590

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