K-MEANS ANALYSIS OF FOOD SECURITY CLUSTER IN EAST JAVA

Ach. Fadhor  Rosid Efendi; Edy  Santoso; Nuriyatul  Inayatil Yaqinah

doi:10.31967/prmandala.v5i0.1164

Ach. Fadhor Rosid Efendi Jember University
Edy Santoso Jember University
Nuriyatul Inayatil Yaqinah Jember University

DOI: https://doi.org/10.31967/prmandala.v5i0.1164

Abstract

Resilience food is fundamental aspect for well-being public. Study This aim study distribution spatial resilience food in the Province East Java uses k-means clustering and analysis method autocorrelation spatial. Data used is wide harvest and production rice in the Province East Java from 2020 to 2023. Method study covers k-means clustering analysis and Moran's I calculation for autocorrelation spatial. The results of the k-means clustering analysis on 2023 data produce three region based clusters level resilience food: low (23 regions), moderate (9 regions), and high (6 regions). Analysis autocorrelation spatial disclose exists autocorrelation significant positive, indicating pattern grouping resilience food with concentration high in districts and cities certain. Findings This indicated exists dependency spatial between internal regions matter resilience food. Study results This expected can give outlook valuable for planning policy resilience more food effective and targeted in East Java.