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Research Article | Volume 4 Issue 1 (Jan-June, 2023)
Application of Agropolitan for Regional Agricultural Commodities Using Spatial Autocorrelattion in Kuningan Regency West Java Indonesia
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Under a Creative Commons license
Open Access
Published
Feb. 3, 2023
Abstract
Agropolitan is expected to increase farmer’s welfare and share of agricultural sector to gross regional domestic product (GRDP). The aims of this study are to determine the pattern of agricultural commodities in Kuningan Regency based on spatial autocorrelation and to determine agropolitan district which can be developed based on cluster analysis and outlier analysis. These studies rely on secondary data and analyze with LQ and spatial analysis autocorrelation. Based on the results, LQ of rice is relatively uniform. Only four districts are included in the cluster of high rice production while the rest of regions can serve as a buffer region. LQ values of sweet potatoes are relatively concentrated in Kuningan District and are clustered as High High values ​​for some regions. However, there are areas with LQ> 1 which serve as a buffer area. There are 14 districts in Kuningan which have LQ value of cloves > 1. Unfortunately only four districts are categorized in the production of high clusters of cloves while other areas act as a buffer. There are eight districts in Kuningan which have Palm sugar LQ > 1. However only three districts are categorized as the high cluster of palm production, while other areas act as a buffer.
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