Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering

Poverty is a condition that is below the line of minimum requirement standard values, both for food and non-food. The Government of Indonesia has various programs to overcome poverty-based assistance social, including the family hope program. This family hope program is the provision of conditional...

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Autores principales:	Ahmad Muhariya, Bebas Widada, Sri Siswanti
Formato:	article
Lenguaje:	ID
Publicado:	Universitas Dian Nuswantoro 2021
Materias:	k-means clustering, family hope program, poor families, mobile Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/5c3165fd6f414601af75c4afa76d929e
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spelling	oai:doaj.org-article:5c3165fd6f414601af75c4afa76d929e2021-11-22T08:17:07ZMonitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering2356-257910.33633/tc.v20i4.4463https://doaj.org/article/5c3165fd6f414601af75c4afa76d929e2021-11-01T00:00:00Zhttp://publikasi.dinus.ac.id/index.php/technoc/article/view/4463https://doaj.org/toc/2356-2579Poverty is a condition that is below the line of minimum requirement standard values, both for food and non-food. The Government of Indonesia has various programs to overcome poverty-based assistance social, including the family hope program. This family hope program is the provision of conditional cash assistance to very poor households in which there are pregnant women, toddlers, elementary, junior high, high school, elderly, and severe disabilities. The amount of assistance obtained based on the level of family poverty with poverty level parameters is seen from the many categories of very poor households concerned along with the obligation of participants to carry out important commitments in the field of Health and Education. The purpose of this research is the development of a mobile-based poor family monitoring application using the k-means clustering method. Validity test results using sample data 21, it can be concluded that the system can group poor families into 7 clusters with a thoroughness rate of 90.4%. Based on these results, K-Means Clustering can be said to have a high accuracy value for clustering poor families.Ahmad MuhariyaBebas WidadaSri SiswantiUniversitas Dian Nuswantoroarticlek-means clustering, family hope program, poor families, mobileInformation technologyT58.5-58.64IDTechno.Com, Vol 20, Iss 4, Pp 468-477 (2021)
institution	DOAJ
collection	DOAJ
language	ID
topic	k-means clustering, family hope program, poor families, mobile Information technology T58.5-58.64
spellingShingle	k-means clustering, family hope program, poor families, mobile Information technology T58.5-58.64 Ahmad Muhariya Bebas Widada Sri Siswanti Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering
description	Poverty is a condition that is below the line of minimum requirement standard values, both for food and non-food. The Government of Indonesia has various programs to overcome poverty-based assistance social, including the family hope program. This family hope program is the provision of conditional cash assistance to very poor households in which there are pregnant women, toddlers, elementary, junior high, high school, elderly, and severe disabilities. The amount of assistance obtained based on the level of family poverty with poverty level parameters is seen from the many categories of very poor households concerned along with the obligation of participants to carry out important commitments in the field of Health and Education. The purpose of this research is the development of a mobile-based poor family monitoring application using the k-means clustering method. Validity test results using sample data 21, it can be concluded that the system can group poor families into 7 clusters with a thoroughness rate of 90.4%. Based on these results, K-Means Clustering can be said to have a high accuracy value for clustering poor families.
format	article
author	Ahmad Muhariya Bebas Widada Sri Siswanti
author_facet	Ahmad Muhariya Bebas Widada Sri Siswanti
author_sort	Ahmad Muhariya
title	Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering
title_short	Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering
title_full	Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering
title_fullStr	Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering
title_full_unstemmed	Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering
title_sort	monitoring program keluarga harapan berbasis mobile gis menggunakan k-means clustering
publisher	Universitas Dian Nuswantoro
publishDate	2021
url	https://doaj.org/article/5c3165fd6f414601af75c4afa76d929e
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Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering

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