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GEOGRAPHICALLY WEIGHTED REGRESSION MODELING FOR CORN PRODUCTION IN CENTRAL JAVA

ABSTRACT

The main issue in enhancing the corn production lies on the dependency on certain areas as the main producers of corn in Central Java. The difference in production most frequently not only makes the needs for corn in many areas unfulfilled but also leads the price for this crop unequal. To fulfill the needs for corn in Central Java, the mapping of the corn producer areas aimed at enhancing the potential of the areas in corn production is deemed essential. Meanwhile, a special concern will be given for the areas that have insufficient number of corn production. In this case, considering the difference of production in some areas in Central Java that are still relied highly on the climate and soil condition suitable for corn plant, we propose the model of corn production by using Geographically Weighted Regression (GWR) method.Based on the GWR model for each regency and city, it was found that the highest production of corn was from Grobogan, Blora and Wonogiri Regencies with R2near 1

 

Kata Kunci: geographically weighted regression, kernel function,, bandwidth

Oleh: H. Sri Sulistijowati, Yuliana Susanti, Hasih Pratiwi, Twenty Liana

Sumber: Global Journal of Pure and Applied Mathematics Volume 11 Nomor 1(2015), pp.37-46. ISSN : 0973-1768