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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| Format: | Article |
| Language: | English |
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Universitas Pattimura
2025-01-01
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| Series: | Barekeng |
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| 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 |