PERBANDINGAN ANALISIS KLASTER AGGLOMERATIVE HIERARCHICAL DAN PARTITIONAL DALAM PENGELOMPOKAN PROVINSI BERDASARKAN INDIKATOR KOTA LAYAK ANAK TAHUN 2020

YULIANI, REZA and Hanum, Herlina and Andriani, Yuli (2023) PERBANDINGAN ANALISIS KLASTER AGGLOMERATIVE HIERARCHICAL DAN PARTITIONAL DALAM PENGELOMPOKAN PROVINSI BERDASARKAN INDIKATOR KOTA LAYAK ANAK TAHUN 2020. Undergraduate thesis, Sriwijaya University.

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Abstract

The government determines provincial priorities in implementing child-friendly city programs. The child-friendly city program is one of the Indonesian government's programs in ensuring the fulfillment of children's rights and protection based on indicators of child-friendly cities. Determining provincial priorities can be done by grouping provinces based on the achievement of indicator coverage. Cluster analysis is able to group objects in the form of provinces into several clusters that have the same characteristics. Several cluster methods can be compared to obtain the best cluster method in the provincial grouping. The cluster method used is Agglomerative Hierarchical which consists of Single Linkage, Complete Linkage, Average Linkage, Ward's and Partitional consists of K-Means. The comparison is carried out using the value of the standard deviation ratio and the best method is the method that has the smallest standard deviation ratio value. The Single Linkage, Complete Linkage, Average Linkage, Ward's method generates 2 clusters and the K-Means method produces 3 clusters. The five methods separate the province of Papua into its own cluster. Based on the standard deviation ratio the best method is K-Means. Cluster 1 of the K-Means method consists of 12 provinces, namely Kep Riau, DKI Jakarta, West Java, Central Java, DI Yogyakarta, East Java, Banten, Bali, NTB, North Kalimantan, East Kalimantan, Sulawesi Selatan, Klaster 2 consists of 21 provinces and cluster 3 consists of 1 province, namely Papua. Characteristics cluster 1 has 7 highest indicator achievements, namely children having birth certificates, children married over 18 years old, infants receiving complete basic immunizations, children living in households with access to adequate water and proper sanitation, children literate, children not victims of exploitation. Cluster 2 with 2 highest indicator achievements, namely children with school status and children receiving PIP. Cluster 3 has 2 highest indicator achievements, namely babies receiving exclusive breastfeeding, children not victims of violence and the other 8 indicators are the lowest.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Agglomerative Hierarchical, Partitional, K-Means, Kota Layak Anak
Subjects:	Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Reza Yuliani
Date Deposited:	11 Apr 2023 03:34
Last Modified:	11 Apr 2023 03:34
URI:	http://repository.unsri.ac.id/id/eprint/94271

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