Rice Production Forecasting in Central Java Province

  • Muhammad Ridwan Universitas Islam Batik Surakarta
  • Hari Purnomo
  • Nancy Oktyajati

Abstract

The availability of local rice needs to be predicted to meet the demand for rice supply in Indonesia. Central Java, as the third largest rice producer in Indonesia, is one of the pillars of national rice demand. The amount of food production in Indonesia is an important factor in determining the right food supply. Forecasting rice production in Central Java is necessary to determine future food conditions. The purpose of this research is to develop a forecast model for rice production in Central Java province and to find out the estimated rice production in Central Java Province in the next 5 years. The time series forecasting method was used in this study. The data used in this study are data on rice production from 1993 to 2020. From the results of the Auto Correlation Function (ACF) test, it is known that the production data has a trend data pattern. The method used in this study is the double exponential smoothing method with two parameters (Holt's Methods). The optimal forecasting model is obtained with the help of solver software in Microsoft Excel. By using the help of the Microsoft Excel solver, the optimal constant value α is 0,767 and β is 0,412 with a Mean Absolute Precentage Error value of 4,82%. Forecasting results from 2021 to 2025 are known to decline every year. The average decline in rice production in the next 5 years is estimated at 4,4% per year.

Keywords: rice, exponential smoothing, Central Java, forecasting

Keywords: rice, forecasting, exponential smoothing, Central Java

References

Aziz, Z. R. and Sopha, B. M. (2016) Peramalan Produksi Padi di Provinsi Daerah Istimewa Yogyakarta. Universitas Gadjah Mada.
Bashir, A. and Yuliana, S. (2019) ‘Identifying factors influencing rice production and consumption in Indonesia’, Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 19(2), pp. 172–185. doi: 10.23917/jep.v19i2.5939.
Djafar, Sarita, M. I. and Pasrun, Y. P. (2017) ‘Peramalan jumlah produksi padi di sulawesi tenggara menggunakan metode’, semanTIK, 3(2), pp. 113–120. Available at: http://ojs.uho.ac.id/index.php/semantik/article/viewFile/3482/2633.
Hanke, J. E. and Wichern, D. (2014) Business Forecasting. Ninth Edit. London: Pearson Education Limited.
Kartikawati, I. and Asih, A. M. S. (2017) Analisis Peramalan Supply dan Demand Komoditas Beras 33 Provinsi di Indonesia. Universitas Gadjah Mada.
Montgomery, D. C., Jennings, C. L. and Kulahcy, M. (2008) Introduction to Time Series Analysis and Forecasting. New Jersey: A John Willey & Sons.
Nugroho, E. D. and Sitepu, R. (2017) Peramalan Jumlah Produksi Beras di Sumatera Utara Tahun 2019. UNIVERSITAS SUMATERA UTARA.
Nurjayanti, E. D., Darsono. and Supardi, S. (2012) ‘Dinamika dan Model Arima Penawaran Beras di Kabupaten Sukoharjo Sebelum dan Selama Pelaksanaan Otonomi Daerah (Periode Tahun 1994-2010)’, Jurnal Ilmu – ilmu Pertanian, 8(1), pp. 61–71.
Panuju, D. R., Mizuno, K. and Trisasongko, B. H. (2013) ‘The dynamics of rice production in Indonesia 1961–2009’, Journal of the Saudi Society of Agricultural Sciences, 12(1), pp. 27–37. doi: 10.1016/j.jssas.2012.05.002.
Statistik, B. P. (2019) Provinsi Jawa Tengah Dalam Angka 2019. Semarang: BPS Porvinsi Jawa Tengah.
Stevenson, W. J. (2002) Operations Manajemen. 7th edn. New York: McGraw-Hill.
Subagyo (2008) Forecasting Konsep dan Aplikasi. Yogyakarta: BPPE.
Published
2021-06-14
Section
Articles