Peramalan Banyaknya Pengunjung Pantai Glagah Menggunakan Metode Autoregressive Integrated Moving Average Exogenous (ARIMAX) dengan Efek Variasi Kalender

Solikhah Novita Intan, Etik Zukhronah, Supriyadi Wibowo

Abstract

Glagah Beach is one of the tourist destinations in Kulon Progo Regency, Yogyakarta which is the most visited by tourists. Glagah Beach visitors data show  that in the month of Eid Al-Fitr there was a significant increase. This shows that there is an effect of the calendar variation of Eid al-Fitr. Therefore, it is needed a method that can be used to analyze time series data which contains effects of calendar variations, that is ARIMAX method. The aim of this study are to find the best ARIMAX model and to predict the number of visitors to Glagah Beach in the future. The result shows that the best ARIMAX model was ARIMAX([24],0,0). Forecasting from January to September 2016 are 37211, 21306, 26247, 24148, 28402, 29309, 81724, 26029, and 23688 visitors.
Keywords: Glagah Beach; variation of calendar; Eid al-Fitr; ARIMAX.

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References

Bell, W. R., and S. Hillmer. Modelling Time Series with Calendar Variation. Journal of Amerian Statistical Association. pp. 526-534. 1983

Chowdhury, T. S.. Impact of Eid-ul-Azha on Market Return in Dhaka Stock Exchange. Stamford University. Bangladesh. 2015.

Cryer, J., and Chan, K. Time Series Analysis (2nd ed.). New York: Springer Science & Business Media. 2008.

Demartoto, A.. Pembangunan Pariwisata Berbasis Masyarakat. UNS Press. Surakarta. 2009.

Gujarati, D. N. Basic Econometrics, Fourth Edition. The McGraw-Hill Companies. New York, 2004.

Lee, M. H., Suhartono, and N. A. Hamzah. Calendar Variation Model Based on ARIMAX for Forecasting Sales Data with Ramadhan Effect. Proceedings of the Regional Conference on Statistical Sciences. pp. 349-361. 2010.

Liu, L. M., Identification of Time Series Models in the Presence of Calendar Variation. International Journal and Forecasting. pp. 357-372.

Suhartono, M. H. Lee, and N. A. Hamzah, Calendar Variation Model Based on Time Series Regression for Sales Forecasts The Ramadhan Effects, Prociding of The Regional Conference on Statistical Science. pp. 30-40. 2010.

Tsay, R. S. Analysis of Financial Time Series, Second Edition. John Wiley & Sons, Inc.. Canada. 2005.

Wei, W. W. Time Series Analysis: Univariate and Multivariate Methods, 2 ed.. Pearson. New York. 2006.

Wulansari, E. R., dan Suhartono. Peramalan Netflow Uang Kartal Dengan Metode ARIMAX dan Radial Basis Function Network (Studi Kasus Di Bank Indonesia). Jurnal Sains dan Seni POMITS. No.2, pp. 73-78. 2014.

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