Adaptive neuro-fuzzy inference system for forecasting rubber milk production

10th International Conference Numerical Analysis in Engineering

数学;工业技术

Rahmat, R.F.^1 ; Nurmawan^1 ; Sembiring, S.^1 ; Syahputra, M.F.^1 ; Fadli^2

Department of Information Technology, Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan, Indonesia^1

Faculty of Management and Business, Universitas Sumatera Utara, Medan, Indonesia^2

关键词: Adaptive neuro fuzzy inference systems (ANFIS);    Adaptive neuro-fuzzy inference system;    Data variance;    Foreign exchange;    Indonesia;    Mean absolute percentage error;    Milk production;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/308/1/012014/pdf
DOI  :  10.1088/1757-899X/308/1/012014

学科分类：工业工程学

来源: IOP

【 摘 要 】

Natural Rubber is classified as the top export commodity in Indonesia. Its high production leads to a significant contribution to Indonesia's foreign exchange. Before natural rubber ready to be exported to another country, the production of rubber milk becomes the primary concern. In this research, we use adaptive neuro-fuzzy inference system (ANFIS) to do rubber milk production forecasting. The data presented here is taken from PT. Anglo Eastern Plantation (AEP), which has high data variance and range for rubber milk production. Our data will span from January 2009 until December 2015. The best forecasting result is 1,182% in term of Mean Absolute Percentage Error (MAPE).