Model-Based Approach for Clustering Regencies/Cities in The Land of Papua Based on Food Security Indicators

The demand for food continues to increase as population growth concerns the Indonesian government, as stated in the second goal of the Sustainable Development Goals, namely zero hunger. The National Food Agency (BPN) uses the Food Security Index (IKP) to monitor food security conditions in Indonesi...

Full description

Saved in:
Bibliographic Details
Main Authors: Ridson Alfarizal, Safira Fauziana Thahar, Shodaidah Ika Mardani, Syairilla Muthia Ramadhan, Leandro Pandapotan Marpaung, Tiodora Hadumaon Siagian
Format: Article
Language:English
Published: Bogor Agricultural University 2024-10-01
Series:Jurnal Ilmu Pertanian Indonesia
Online Access:https://journal.ipb.ac.id/index.php/JIPI/article/view/49154
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850101558446915584
author Ridson Alfarizal
Safira Fauziana Thahar
Shodaidah Ika Mardani
Syairilla Muthia Ramadhan
Leandro Pandapotan Marpaung
Tiodora Hadumaon Siagian
author_facet Ridson Alfarizal
Safira Fauziana Thahar
Shodaidah Ika Mardani
Syairilla Muthia Ramadhan
Leandro Pandapotan Marpaung
Tiodora Hadumaon Siagian
author_sort Ridson Alfarizal
collection DOAJ
description The demand for food continues to increase as population growth concerns the Indonesian government, as stated in the second goal of the Sustainable Development Goals, namely zero hunger. The National Food Agency (BPN) uses the Food Security Index (IKP) to monitor food security conditions in Indonesia's district/city and provincial levels. Based on the BPN data, most districts/cities in The Land of Papua (so called Irian Province before the year 2000) are food insecure. However, the IKP has a weakness in the subjectivity of determining weights so that it can disguise the failure of a program or exaggerate a success. The model-based clustering (MBC) method can measure the food security of districts/cities in this area based on food security indicators. However, the data conditions are generally not multivariate distributed, and there are many outliers, so this study used MBC with multivariate t distribution because it is more robust. The best model was obtained with two clusters based on the largest Bayesian Information Criterion value. Cluster 1, located in the mountains and islands such as Nduga, Intan Jaya, Mamberamo Tengah, Puncak, and Lanny Jaya, had low food security, low indicator achievements with high poverty characteristics, many households with a portion of household expenditure on the food of more than 65%, low access to electricity and clean water, low life expectancy and average years of schooling for women, and the percentage of stunted toddlers. Meanwhile, Cluster 2, areas with high food security, had the opposite condition. Keywords: food security, model-based clustering, multivariate t distribution, Land of Papua
format Article
id doaj-art-2268b89130b64a229e7850cb40cece39
institution DOAJ
issn 0853-4217
2443-3462
language English
publishDate 2024-10-01
publisher Bogor Agricultural University
record_format Article
series Jurnal Ilmu Pertanian Indonesia
spelling doaj-art-2268b89130b64a229e7850cb40cece392025-08-20T02:39:59ZengBogor Agricultural UniversityJurnal Ilmu Pertanian Indonesia0853-42172443-34622024-10-0130110.18343/jipi.30.1.19Model-Based Approach for Clustering Regencies/Cities in The Land of Papua Based on Food Security IndicatorsRidson Alfarizal0Safira Fauziana Thahar1Shodaidah Ika Mardani2Syairilla Muthia Ramadhan3Leandro Pandapotan Marpaung4Tiodora Hadumaon Siagian5Politeknik Statistika STIS, Jl. Otto Iskandardinata No.64C Jakarta 13330, IndonesiaPoliteknik Statistika STIS, Jl. Otto Iskandardinata No.64C Jakarta 13330, IndonesiaPoliteknik Statistika STIS, Jl. Otto Iskandardinata No.64C Jakarta 13330, IndonesiaPoliteknik Statistika STIS, Jl. Otto Iskandardinata No.64C Jakarta 13330, IndonesiaPoliteknik Statistika STIS, Jl. Otto Iskandardinata No.64C Jakarta 13330, IndonesiaPoliteknik Statistika STIS, Jl. Otto Iskandardinata No.64C Jakarta 13330, Indonesia The demand for food continues to increase as population growth concerns the Indonesian government, as stated in the second goal of the Sustainable Development Goals, namely zero hunger. The National Food Agency (BPN) uses the Food Security Index (IKP) to monitor food security conditions in Indonesia's district/city and provincial levels. Based on the BPN data, most districts/cities in The Land of Papua (so called Irian Province before the year 2000) are food insecure. However, the IKP has a weakness in the subjectivity of determining weights so that it can disguise the failure of a program or exaggerate a success. The model-based clustering (MBC) method can measure the food security of districts/cities in this area based on food security indicators. However, the data conditions are generally not multivariate distributed, and there are many outliers, so this study used MBC with multivariate t distribution because it is more robust. The best model was obtained with two clusters based on the largest Bayesian Information Criterion value. Cluster 1, located in the mountains and islands such as Nduga, Intan Jaya, Mamberamo Tengah, Puncak, and Lanny Jaya, had low food security, low indicator achievements with high poverty characteristics, many households with a portion of household expenditure on the food of more than 65%, low access to electricity and clean water, low life expectancy and average years of schooling for women, and the percentage of stunted toddlers. Meanwhile, Cluster 2, areas with high food security, had the opposite condition. Keywords: food security, model-based clustering, multivariate t distribution, Land of Papua https://journal.ipb.ac.id/index.php/JIPI/article/view/49154
spellingShingle Ridson Alfarizal
Safira Fauziana Thahar
Shodaidah Ika Mardani
Syairilla Muthia Ramadhan
Leandro Pandapotan Marpaung
Tiodora Hadumaon Siagian
Model-Based Approach for Clustering Regencies/Cities in The Land of Papua Based on Food Security Indicators
Jurnal Ilmu Pertanian Indonesia
title Model-Based Approach for Clustering Regencies/Cities in The Land of Papua Based on Food Security Indicators
title_full Model-Based Approach for Clustering Regencies/Cities in The Land of Papua Based on Food Security Indicators
title_fullStr Model-Based Approach for Clustering Regencies/Cities in The Land of Papua Based on Food Security Indicators
title_full_unstemmed Model-Based Approach for Clustering Regencies/Cities in The Land of Papua Based on Food Security Indicators
title_short Model-Based Approach for Clustering Regencies/Cities in The Land of Papua Based on Food Security Indicators
title_sort model based approach for clustering regencies cities in the land of papua based on food security indicators
url https://journal.ipb.ac.id/index.php/JIPI/article/view/49154
work_keys_str_mv AT ridsonalfarizal modelbasedapproachforclusteringregenciescitiesinthelandofpapuabasedonfoodsecurityindicators
AT safirafauzianathahar modelbasedapproachforclusteringregenciescitiesinthelandofpapuabasedonfoodsecurityindicators
AT shodaidahikamardani modelbasedapproachforclusteringregenciescitiesinthelandofpapuabasedonfoodsecurityindicators
AT syairillamuthiaramadhan modelbasedapproachforclusteringregenciescitiesinthelandofpapuabasedonfoodsecurityindicators
AT leandropandapotanmarpaung modelbasedapproachforclusteringregenciescitiesinthelandofpapuabasedonfoodsecurityindicators
AT tiodorahadumaonsiagian modelbasedapproachforclusteringregenciescitiesinthelandofpapuabasedonfoodsecurityindicators