CLUSTERING DISTRICTS/CITIES IN EAST JAVA PROVINCE BASED ON HIV CASES USING K-MEANS, AGNES, AND ENSEMBLE

Cluster analysis is a method of grouping data into certain groups based on similar characteristics. This research aims to group districts/cities in East Java Province in 2021 based on HIV cases using hierarchical cluster analysis (AGNES), non-hierarchical cluster analysis (K-means), and ensemble clu...

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Main Authors: Dwi Ayu Lusia, Imelda Salsabila, Heni Kusdarwati, Suci Astutik
Format: Article
Language:English
Published: Universitas Pattimura 2025-01-01
Series:Barekeng
Subjects:
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12154
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author Dwi Ayu Lusia
Imelda Salsabila
Heni Kusdarwati
Suci Astutik
author_facet Dwi Ayu Lusia
Imelda Salsabila
Heni Kusdarwati
Suci Astutik
author_sort Dwi Ayu Lusia
collection DOAJ
description Cluster analysis is a method of grouping data into certain groups based on similar characteristics. This research aims to group districts/cities in East Java Province in 2021 based on HIV cases using hierarchical cluster analysis (AGNES), non-hierarchical cluster analysis (K-means), and ensemble clustering. The study found that the ensemble clustering solution forms four clusters, consistent with the results of AGNES clustering. This suggests that ensemble clustering improves the quality of cluster solutions by leveraging both hierarchical and non-hierarchical methods. The grouping of districts/cities based on HIV cases provides a clear distribution pattern for more targeted interventions. The study is limited to HIV cases in East Java Province and may not be generalizable to other regions with different epidemic characteristics. Additionally, the study focuses on clustering methods without investigating temporal changes in HIV case distribution. This research is one of the few studies that applies ensemble clustering to HIV cases in East Java Province. It combines hierarchical and non-hierarchical methods to improve the clustering process and provides a practical approach for regional HIV control planning.
format Article
id doaj-art-36e29046970a4a02b4dd7c20a6d32072
institution Kabale University
issn 1978-7227
2615-3017
language English
publishDate 2025-01-01
publisher Universitas Pattimura
record_format Article
series Barekeng
spelling doaj-art-36e29046970a4a02b4dd7c20a6d320722025-08-20T03:41:57ZengUniversitas PattimuraBarekeng1978-72272615-30172025-01-01191637210.30598/barekengvol19iss1pp63-7212154CLUSTERING DISTRICTS/CITIES IN EAST JAVA PROVINCE BASED ON HIV CASES USING K-MEANS, AGNES, AND ENSEMBLEDwi Ayu Lusia0Imelda Salsabila1Heni Kusdarwati2Suci Astutik3Department of Statistics, Faculty of Mathematics and Science, Universitas Brawijaya, IndonesiaDepartment of Statistics, Faculty of Mathematics and Science, Universitas Brawijaya, IndonesiaDepartment of Statistics, Faculty of Mathematics and Science, Universitas Brawijaya, IndonesiaDepartment of Statistics, Faculty of Mathematics and Science, Universitas Brawijaya, IndonesiaCluster analysis is a method of grouping data into certain groups based on similar characteristics. This research aims to group districts/cities in East Java Province in 2021 based on HIV cases using hierarchical cluster analysis (AGNES), non-hierarchical cluster analysis (K-means), and ensemble clustering. The study found that the ensemble clustering solution forms four clusters, consistent with the results of AGNES clustering. This suggests that ensemble clustering improves the quality of cluster solutions by leveraging both hierarchical and non-hierarchical methods. The grouping of districts/cities based on HIV cases provides a clear distribution pattern for more targeted interventions. The study is limited to HIV cases in East Java Province and may not be generalizable to other regions with different epidemic characteristics. Additionally, the study focuses on clustering methods without investigating temporal changes in HIV case distribution. This research is one of the few studies that applies ensemble clustering to HIV cases in East Java Province. It combines hierarchical and non-hierarchical methods to improve the clustering process and provides a practical approach for regional HIV control planning.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12154agnesclusteringensemblehivk-means
spellingShingle Dwi Ayu Lusia
Imelda Salsabila
Heni Kusdarwati
Suci Astutik
CLUSTERING DISTRICTS/CITIES IN EAST JAVA PROVINCE BASED ON HIV CASES USING K-MEANS, AGNES, AND ENSEMBLE
Barekeng
agnes
clustering
ensemble
hiv
k-means
title CLUSTERING DISTRICTS/CITIES IN EAST JAVA PROVINCE BASED ON HIV CASES USING K-MEANS, AGNES, AND ENSEMBLE
title_full CLUSTERING DISTRICTS/CITIES IN EAST JAVA PROVINCE BASED ON HIV CASES USING K-MEANS, AGNES, AND ENSEMBLE
title_fullStr CLUSTERING DISTRICTS/CITIES IN EAST JAVA PROVINCE BASED ON HIV CASES USING K-MEANS, AGNES, AND ENSEMBLE
title_full_unstemmed CLUSTERING DISTRICTS/CITIES IN EAST JAVA PROVINCE BASED ON HIV CASES USING K-MEANS, AGNES, AND ENSEMBLE
title_short CLUSTERING DISTRICTS/CITIES IN EAST JAVA PROVINCE BASED ON HIV CASES USING K-MEANS, AGNES, AND ENSEMBLE
title_sort clustering districts cities in east java province based on hiv cases using k means agnes and ensemble
topic agnes
clustering
ensemble
hiv
k-means
url https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12154
work_keys_str_mv AT dwiayulusia clusteringdistrictscitiesineastjavaprovincebasedonhivcasesusingkmeansagnesandensemble
AT imeldasalsabila clusteringdistrictscitiesineastjavaprovincebasedonhivcasesusingkmeansagnesandensemble
AT henikusdarwati clusteringdistrictscitiesineastjavaprovincebasedonhivcasesusingkmeansagnesandensemble
AT suciastutik clusteringdistrictscitiesineastjavaprovincebasedonhivcasesusingkmeansagnesandensemble