Modern Applied Science; Vol. 13, No. 11; 2019 ISSN 1913-1844 E-ISSN 1913-1852 Published by Canadian Center of Science and Education Identification of Factors Affecting Food Productivity Improvement in Kalimantan Using Nonparametric Spatial Regression Method Sifriyani1, Suyitno1 & Rizki. N. A.2 1Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, Mulawarman University, Samarinda, Indonesia. 2Mathematics Education Study Programme, Faculty of Teacher Training and Education, Mulawarman University, Samarinda, Indonesia. Correspondence: Sifriyani, Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, Mulawarman University, Samarinda, Indonesia. E-mail:
[email protected] Received: August 8, 2019 Accepted: October 23, 2019 Online Published: October 24, 2019 doi:10.5539/mas.v13n11p103 URL: https://doi.org/10.5539/mas.v13n11p103 Abstract Problems of Food Productivity in Kalimantan is experiencing instability. Every year, various problems and inhibiting factors that cause the independence of food production in Kalimantan are suffering a setback. The food problems in Kalimantan requires a solution, therefore this study aims to analyze the factors that influence the increase of productivity and production of food crops in Kalimantan using Spatial Statistics Analysis. The method used is Nonparametric Spatial Regression with Geographic Weighting. Sources of research data used are secondary data and primary data obtained from the Ministry of Agriculture