Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering Method
The evaluation of human development is typically done using the Human Development Index (HDI), which measures the level of development in terms of various essential aspects of quality of life. In the case of East Java, the HDI is categorized as high. However. the distribution of HDI among the Regenc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Indonesian |
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Islamic University of Indragiri
2023-09-01
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| Series: | Sistemasi: Jurnal Sistem Informasi |
| Online Access: | http://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/2959 |
| _version_ | 1797661887864766464 |
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| author | Roudlotul Jannah Alfirdausy Nurissaidah Ulinnuha Moh. Hafiyusholeh |
| author_facet | Roudlotul Jannah Alfirdausy Nurissaidah Ulinnuha Moh. Hafiyusholeh |
| author_sort | Roudlotul Jannah Alfirdausy |
| collection | DOAJ |
| description | The evaluation of human development is typically done using the Human Development Index (HDI), which measures the level of development in terms of various essential aspects of quality of life. In the case of East Java, the HDI is categorized as high. However. the distribution of HDI among the Regencies/Cities in East Java is still uneven. Therefore, it becomes necessary to cluster the districts/cities based on their HDI and the achievement of each indicator contributing to the HDI. Clustering is a data analysis technique used to group similar data together. Hierarchical agglomerative clustering is one of the methods used for this purpose. The aim of this study is to provide a reference for the government to understand the distribution of characteristic groupings among the districts/cities based on their HDI profiles in East Java. The analysis of East Java's HDI data for 2021 revealed that the best method and cluster was obtained using Average Linkage, with a Cophenetic coefficient value of 0.8105891, resulting in two clusters. The cluster with the highest Silhouette coefficient value of 0.6196077 comprised 34 districts/cities, classified as the low cluster, while the high cluster consisted of four cities/regencies. |
| first_indexed | 2024-03-11T18:52:12Z |
| format | Article |
| id | doaj.art-f9f15a879f054d258819cafdd08f53c5 |
| institution | Directory Open Access Journal |
| issn | 2302-8149 2540-9719 |
| language | Indonesian |
| last_indexed | 2024-03-11T18:52:12Z |
| publishDate | 2023-09-01 |
| publisher | Islamic University of Indragiri |
| record_format | Article |
| series | Sistemasi: Jurnal Sistem Informasi |
| spelling | doaj.art-f9f15a879f054d258819cafdd08f53c52023-10-11T09:36:28ZindIslamic University of IndragiriSistemasi: Jurnal Sistem Informasi2302-81492540-97192023-09-0112381182010.32520/stmsi.v12i3.2959623Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering MethodRoudlotul Jannah Alfirdausy0Nurissaidah UlinnuhaMoh. HafiyusholehUIN Sunan AmpelThe evaluation of human development is typically done using the Human Development Index (HDI), which measures the level of development in terms of various essential aspects of quality of life. In the case of East Java, the HDI is categorized as high. However. the distribution of HDI among the Regencies/Cities in East Java is still uneven. Therefore, it becomes necessary to cluster the districts/cities based on their HDI and the achievement of each indicator contributing to the HDI. Clustering is a data analysis technique used to group similar data together. Hierarchical agglomerative clustering is one of the methods used for this purpose. The aim of this study is to provide a reference for the government to understand the distribution of characteristic groupings among the districts/cities based on their HDI profiles in East Java. The analysis of East Java's HDI data for 2021 revealed that the best method and cluster was obtained using Average Linkage, with a Cophenetic coefficient value of 0.8105891, resulting in two clusters. The cluster with the highest Silhouette coefficient value of 0.6196077 comprised 34 districts/cities, classified as the low cluster, while the high cluster consisted of four cities/regencies.http://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/2959 |
| spellingShingle | Roudlotul Jannah Alfirdausy Nurissaidah Ulinnuha Moh. Hafiyusholeh Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering Method Sistemasi: Jurnal Sistem Informasi |
| title | Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering Method |
| title_full | Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering Method |
| title_fullStr | Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering Method |
| title_full_unstemmed | Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering Method |
| title_short | Analysis of Regency/City Human Development Index Data in East Java Through Grouping Using Hierarchical Agglomerative Clustering Method |
| title_sort | analysis of regency city human development index data in east java through grouping using hierarchical agglomerative clustering method |
| url | http://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/2959 |
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