Adaptive spline autoregression threshold method in forecasting Mitsubishi car sales volume at PT Srikandi Diamond Motors

The Indonesian Operations Research Association (IORA) - International Conference on Operations Research 2016

Susanti, D.^1 ; Hartini, E.^1 ; Permana, A.^1

Department of Mathematic, Padjadjaran University, Sumedang

45363, Indonesia^1

关键词: Autoregression;    Indonesians;    Mitsubishi;    Sales forecasts;    Sales volume;    Threshold methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/166/1/012032/pdf
DOI  :  10.1088/1757-899X/166/1/012032

来源: IOP

【 摘 要 】

Sale and purchase of the growing competition between companies in Indonesian, make every company should have a proper planning in order to win the competition with other companies. One of the things that can be done to design the plan is to make car sales forecast for the next few periods, it's required that the amount of inventory of cars that will be sold in proportion to the number of cars needed. While to get the correct forecasting, on of the methods that can be used is the method of Adaptive Spline Threshold Autoregression (ASTAR). Therefore, this time the discussion will focus on the use of Adaptive Spline Threshold Autoregression (ASTAR) method in forecasting the volume of car sales in PT.Srikandi Diamond Motors using time series data.In the discussion of this research, forecasting using the method of forecasting value Adaptive Spline Threshold Autoregression (ASTAR) produce approximately correct.