Peramalan Data Inflow dan Outflow Uang Kartal Bank Indonesia Provinsi DKI Jakarta Menggunakan Model ARIMAX dan SARIMAX
Abstract
Abstract. DKI Jakarta Province plays a crucial role as the center of government and economy in Indonesia. The description of currency inflows and outflows is highly required before Bank Indonesia formulates the appropriate policies to control the circulation of money. The monthly data of currency inflow and outflow of Bank Indonesia of DKI Jakarta show a significant increase in each year particularly before, during, and after Eid al-Fitr. The determination of Eid al-Fitr does not follow the Gregorian calendar but based on the Islamic calendar. The difference in the use of the Gregorian and Islamic calendars in a time series causes a calendar variation. Thus, the determination of Eid al-Fitr in the Gregorian calendar changes as it goes forward eleven days each year or one month every three years. This study aims to obtain the best model and forecast currency inflows and outflows of Bank Indonesia DKI Jakarta using the ARIMAX and SARIMAX models. The study used in-sample data from January 2009 to December 2018 and out-sample data from January to October 2019. The best model was selected based on the smallest out-sample MAPE value. The result showed that the best forecasting model of inflow was ARIMAX (1,0,1). Meanwhile, the best forecasting model for outflow was SARIMAX (2,0,1)(0,0,1)12.
Keywords: ARIMAX, calendar variation, forecasting, SARIMAX
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Bank Indonesia. Metadata Uang Kartal yang Diedarkan. https://www.bi.go.id/ id/statistik. Diakses pada tanggal 17 November 2019.
Lee, M.H., Suhartono, and Hamzah, N. A. Calendar Variation Model Based on ARIMAX for Forecasting Sales Data with Ramadhan Effect. Regional Conference on Statistical Science (349-361). Universiti Teknologi MARA (UiTM), Malaysia. 2010.
Rachmawati, N.I., Setiawan, dan Suhartono. Peramalan Inflow dan Outflow Uang Kartal Bank Indonesia di Wilayah Jawa Tengah dengan Menggunakan ARIMA, Time Series Reggression, dan ARIMAX. Jurnal Sains dan Seni ITS, 4(2), 2337-3520. 2015.
Effendi, A. R. Peramalan Banyaknya Penumpang yang Berangkat dari Pelabuhan Belawan menggunakan Model SARIMAX. Skripsi Program Studi Statistika FMIPA. Universitas Sebelas Maret. Surakarta. 2019.
Hanke, J.E., and Wichern, D.W. Business Forecasting 8th Edition. Prentice Hall, New York. 2005.
Wei, W.W.S. Time Series Analysis: Univariate and Multivariate Methods Second Edition. Pearson Education Inc, New York. 2006.
Gujarati, N.D. Basic Econometrics 4th Edition. The McGraw-Hill Companies, New York. 2004.
Montgomery, Douglass C., Peck, Elizabeth A., and Vining, G. G. Introduction to Linear Regression Analysis Fifth Edition. John Wiley and Sons Inc, Canada. 2012.
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