METODE TRIPLE EXPONENTIAL SMOOTHING HOLT-WINTERS UNTUK PERAMALAN JUMLAH WISATAWAN NUSANTARA DI KABUPATEN BANYUWANGI

  • Feby Indriana Yusuf Universitas PGRI Banyuwangi
  • Dwi Hilda Anjasari Universitas PGRI Banyuwangi
DOI: https://doi.org/10.52166/ujmc.v4i2.1107
Keywords: Forecasting, Triple Exponential Smoothing, Domestic Tourism

Abstract

Forecasting is how to predict future event by considering the past data. This research aims to determine the results of the comparison of forecasting the number of domestic tourists in Banyuwangi by triple exponential smoothing method of Holt-Winters multiplicative and additive models in order to obtain the best model. The data used in this research is the number of domestic tourists in Banyuwangi period January 2010 to March 2018. The results showed that forecasting by the triple exponential smoothing method of multiplicative models with a smoothing constant α = 0.18; γ = 0.03 and β = 0.1 obtained the smallest value of MAPE and MSE.

References

[1] Taylor, James W., 2012. Density Forecasting of Intraday Call Center Arrivals using Models Based on Exponential Smoothing. Management Science, Vol.58, pp. 534-549. Saïd Business School University of Oxford.
[2] Billah, Baki & King, Maxwell L., 2006. Exponential smoothing model selection for forecasting. International Journal of Forecasting. Impact Factor: 1.49 • DOI: 10.1016/j.ijforecast.2005.08.002 - Source: RePEc.
[3] Rosadi, D. 2012. Ekonometrika Dan Analisis Runtun Waktu Terapan. Yogyakarta: CV. Andi Offset.
[4] Padang, E., Tarigan, G., & Sinulingga, U. 2013. Peramalan Jumlah Penumpang Kereta Api Medan-Rantau Prapat Dengan Metode Pemulusan Eksponensial Holt-Winters. Saintia Matematika Vol. 1, No. 2, 163-164.
UJMC
Published
2019-01-19
How to Cite
Yusuf, F., & Anjasari, D. (2019). METODE TRIPLE EXPONENTIAL SMOOTHING HOLT-WINTERS UNTUK PERAMALAN JUMLAH WISATAWAN NUSANTARA DI KABUPATEN BANYUWANGI. UJMC (Unisda Journal of Mathematics and Computer Science), 4(2), 1 - 6. https://doi.org/https://doi.org/10.52166/ujmc.v4i2.1107
Issue
Vol 4 No 2 (2018): Unisda Journal of Mathematics and Computer Science
Section
Articles
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