Evaluation of Grey Forecasting Method of Total Domestic Coffee Consumption in Indonesia
International Journal of Business and Economics Research
Volume 6, Issue 4, August 2017, Pages: 67-72
Received: Jul. 19, 2017;
Published: Jul. 19, 2017
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Tien-Chin Wang, Departement of International Business, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan
Muhammad Ghalih, Departement of International Business, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan; Departement of Agricultural Industrial Technology, State Polytechnic of Tanah Laut, Pelaihari, Indonesia
Indonesia is the one of the world’s top coffee producing and exporting countries. Meanwhile, in this study, only focus on forecasting the total of domestic coffee consumption in Indonesia applied the Grey differential model which is called GM (1,1) model of Grey theory to predict the amount of domestic coffee consumption in Indonesia from 1990 to 2017. According to the estimated result, the average residual error of the Grey forecast model is over 5 percent. The model predicts that the total of consumption will increase in each year. Based on the experimental results, this proposed method apparently not only improve the forecasting accuracy of the original Grey models but also provide a valuable reference for Indonesia coffee farmer and industries to make the action plan for the future.
Evaluation of Grey Forecasting Method of Total Domestic Coffee Consumption in Indonesia, International Journal of Business and Economics Research.
Vol. 6, No. 4,
2017, pp. 67-72.
Chen-Fang Tsai, Dynamic grey platform for efficient forecasting management, Journal of Computer and System Sciences, 81, 2015, pp. 966–980.
Coskun Hamzacebi and Huseyin Avni Es, Forecasting the annual electricity consumption of Turkey using an optimized Grey model, Energy, 2014, pp. 165 - 171.
Deng, Julong, Control problems of Grey systems, Systems and Control letters 5, 1982, pp. 288-294.
Deng, Julong, Introduction to Grey system theory, The Journal of Grey System, Vol. 1, No.1, 1989, pp. 1-24.
Deng, Julong, The Course on Grey System Theory, Huazhong University of Science & Technology Publish House, Wuhan, China, 1990, p. 91.
Deng, Julong, The Essential Methods of Grey Systems, Huazhong University of Science and Technology Press, Wuhan, China, 1992.
Hosse, René S, Becker, U, Manz, H, Grey Systems Theory Time Series Prediction applied to Road Traffic Safety in Germany, IFAC-PapersOnLine 49-3, 2016, pp. 231–236.
Huiru Zhao and Sen Guo, An optimized Grey model for annual power load forecasting, Energy, 107, 2016, pp. 272-286.
Li. C. H, Using improved Grey forecasting models to forecast the output of opto-electronics industry, Expert Syst. Appl. 38, 2011, pp. 13879–13885.
Lee, Y. S and Tong, L. I, Forecasting energy consumption using a grey model improved by incorporating genetic programming. Energy Convers. Manag. 52, 2011, pp. 147–152.
Lee, C, Lin, C. T, Chent, L. H, Accuracy analysis of the Grey Markov forecasting model. J. Stat. Manag. Syst. 7, 3, 2004, pp. 567–580.
Lee, Y. C, Wu, C. H, Tsai, S. B, Grey system theory and fuzzy time series forecasting for the growth of green electronic materials. Int. J. Prod. Res, 52 10, 2014, pp. 2931–2945.
Li, D et all, Forecasting short-term electricity consumption using the adaptive grey-based approach-an asian case. Omega 40 (6), 2012, pp. 767–773.
Liu, S., Dang, Y., Fang, Z., Xie, N., Grey System Theory and Its Application. Science Press, Beijing China, 2010.
Liu, S. and Lin, Y., Grey information: theory and practical applications, Springer Science & Business Media, 2006.
Liu S, Forrest J, Yang Y. A brief introduction to Grey systems theory. In: Grey systems: theory and application, special issue: selected papers from the 2011 international conference on Grey systems and intelligent services (IEEE GSIS), 15-18 September 2011, Nanjing, China, vol. 2, 2012. pp. 89-104.
Mao, M, Application of Grey model GM(1, 1) to vehicle fatality risk estimation. Technological Forecasting and Change, 73 (5). 2006.
Ning Xu, Yaoguo Dang, Yande Gong, Novel Grey prediction model with nonlinear optimized time response method for forecasting of electricity consumption in China, Energi, 2017, pp. 473- 480.
Omidvari, M, Presenting a model for safety program performance assessment using Grey system theory, In Grey System Theory and Application 4(2), S, 2014, pp. 287-298.
Jui-Fang Chang, et all, Forecast the amount of import and export in Vietnam by applying Grey Method, ICIC Express Letters, vol. 4, no.5(A), 2010, pp. 1665-1670.
Seval Ene and Nursel Öztürk, Grey modelling based forecasting system for return flow of end-of-life vehicles, Technological Forecasting & Social Change, 115, 2017, pp. 155–166.
Shang-Ling Ou, Forecasting agricultural output with an improved grey forecasting model based on the genetic algorithm, Computers and Electronics in Agriculture 85, 2012, pp. 33–39.
Tien-Chin Wang, Muhammad Ghalih, Glen Andrew Porter, Marketing Public Relations Strategies to Develop Brand Awareness of Coffee Products, Science Journal of Business and Management. Vol. 5, No. 3, 2017, pp. 116-121.
Tien-Chin Wang, Su-Hui Kuo, Hui-Chen Chen, Forecasting the Exchange Rate between ASEAN Currencies and USD, Industrial Engineering and Engineering Management (IEEM), IEEE, 2011.
Tien-Chin Wang, et al, Forecast the foreign exchange rate between Rupiah and US Dollar by applying Grey Method, International Conference on Data Engineering and Internet Technology, 2011, pp. 550-553.
Wang, L, Forecasting of Traffic Accident in Shanxi Province based on grey system theory, In 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, Nanjing, China, 2012.
Xiamin Wang, et al, Grey predicting theory and application of energy consumption of building heat - moisture system, Building and Environment, 1999, pp. 417- 420.
Xiuli Liu, Blanca Moreno, Ana Salome García, A Grey neural network and input-output combined forecasting model. Primary energy consumption forecasts in Spanish economic sectors, Energy, 115, 2016, pp. 1042-1054.
Yanhui Chen, et al, Multi-step-ahead Crude Oil Price Forecasting based on Grey Wave Forecasting Method, Procedia Computer Science, 2016, pp. 1050 - 1056.
Yanhui Chen, Kaijian He, Chuan Zhang, A novel Grey wave forecasting method for predicting metal prices, Resources Policy, 49, 2016, pp. 323–331.
Zheng-Xin Wan and De-Jun Ye, Forecasting Chinese carbon emissions from fossil energy consumption using non-linear Grey multivariable models, Journal of Cleaner Production, 2017, pp. 600 - 612.
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