The Implementation of Grey Forecasting Model for Forecast Result’s Food Crop Agricultural
Abstract: The increasing of
the needs of food crops raised several
issues related to land use. The problems
of land used caused by the lack of information related to productivity and
eligibility used of land. The goal of this research is to implementation a
model of Grey forecasting GM(1,1) to forecast agricultural production,
especially in food crops. GM(1,1) is used to built a model with limited data
samples and generate good forecasts for short libertine forecasts. This
research uses data from the production of food crops for the 2004-2013 it can
be calculated by using the model of GM (1,1). The results showed the model GM
(1,1) can produce highly accurate forecasts, from the experimental results for
pattern trends generate value ARPE 5.74% or accuracy of forecasts reached
94.26% in crop production.
Author: Asfan Muqtadir, Suryono,
Vincensius Gunawan
Journal Code: jptinformatikagg160031
