Clustering of Food Security Status in South Sumatera Using Fuzzy C-Means Algorithm

DOI

10.2991/aisr.k.200424.030How to use a DOI?

Keywords

food security, FCM, DBI, cluster

Abstract

Food security is defined as the condition of food to satisfy every society which reflected in the availability of sufficient food, a good number and quality, secure, equitable, affordable, and based on the diversity of local resources. According to data from BPS South Sumatera, the percentage of poor population also half-poor family is still high. This shows existence of barriers to accessing food and there are still gaps in distribution of food as well as food consumption inequality according to socio-economic groups and regions. Clustering food security area or food insecurity area in South Sumatera is very necessary because the condition of food availability at each region varies every time, depending on the results of food production and the factors which affected it. In this research, the methods which used for data clustering is Hybrid fuzzy C-means (FCM). From the results of testing using Davies Bouldin Index (DBI), obtained data that food security in South Sumatera is suitable to be cluster into three clusters, which are food secure, enough food and food insecure, where each cluster contains: 1 (one), 8 (eight) and 5 (five) region in South Sumatera. The results of cluster are expected to be used as one of the information for the Government of South Sumatera to plan strategies which effective and efficient with conditions related to food security.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dian Palupi RINI
AU  - Endang Lestari RUSKAN
PY  - 2020
DA  - 2020/05/06
TI  - Clustering of Food Security Status in South Sumatera Using Fuzzy C-Means Algorithm
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 207
EP  - 210
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.030
DO  - 10.2991/aisr.k.200424.030
ID  - RINI2020
ER  -