Geographically Weighted Regression Model for Corn Production in Java Island

Yuliana Susanti, Respatiwulan, Hasih Pratiwi, Sri Sulistijowati Handajani, Etik Zukhronah

2018

Abstract

In Java Island, corn is the second food commodity after rice. The need for corn increases every year, but it does not match which the amount of corn production for the respective year. Factors that cause corn production in Java are harvested area, rainfall, temperature, and altitude. The main problem faced in increasing corn production still relies on certain areas, namely Java Island, as the main producer of corn. Differences in production are what often causes the needs of corn in various regions cannot be fulfilled and there is a difference in the price of corn. To fulfill the needs of corn in Java, mapping areas of corn production need to be made so that areas with potential for producing corn can be developed while areas with insufficient quantities of corn production may be given special attention. Due to differences in production in some areas of Java which depend on soil conditions, altitude, rainfall, and temperatures, a model of corn production will be developed using the Geographically weighted regression (GWR) model. Based on the GWR model for each regency/city in Java Island, it can be concluded that the largest corn production coming from Rembang regency.

Paper Citation

in Harvard Style

Susanti Y., Pratiwi H., Respatiwulan., Handajani S. and Zukhronah E. (2018). Geographically Weighted Regression Model for Corn Production in Java Island.In Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs, ISBN 978-989-758-407-7, pages 131-135. DOI: 10.5220/0008518201310135

in Bibtex Style

@conference{icmis18,
author={Yuliana Susanti and Hasih Pratiwi and Respatiwulan and Sri Sulistijowati Handajani and Etik Zukhronah},
title={Geographically Weighted Regression Model for Corn Production in Java Island},
booktitle={Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs,},
year={2018},
pages={131-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008518201310135},
isbn={978-989-758-407-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs,
TI - Geographically Weighted Regression Model for Corn Production in Java Island
SN - 978-989-758-407-7
AU - Susanti Y.
AU - Pratiwi H.
AU - Respatiwulan.
AU - Handajani S.
AU - Zukhronah E.
PY - 2018
SP - 131
EP - 135
DO - 10.5220/0008518201310135