Application of the K-Means Cluster for the Classification of Disadvantaged Districts/Cities in Maluku Province
Maluku Province is still the 4th poorest province in Indonesia. This is due to the disparity in development between the provincial and district centers, cities and villages as well as government work programs that are not implemented evenly. To overcome and evaluate these problems, it is necessary t...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Muhammadiyah Purwokerto
2022-11-01
|
| Series: | JRST: Jurnal Riset Sains dan Teknologi |
| Subjects: | |
| Online Access: | https://jurnalnasional.ump.ac.id/index.php/JRST/article/view/11637 |
| _version_ | 1797980746128818176 |
|---|---|
| author | Muhammad Yahya Matdoan Faraniena Yunaeni Risdiana Gabriella Haumahu |
| author_facet | Muhammad Yahya Matdoan Faraniena Yunaeni Risdiana Gabriella Haumahu |
| author_sort | Muhammad Yahya Matdoan |
| collection | DOAJ |
| description | Maluku Province is still the 4th poorest province in Indonesia. This is due to the disparity in development between the provincial and district centers, cities and villages as well as government work programs that are not implemented evenly. To overcome and evaluate these problems, it is necessary to plan or study the classification of underdeveloped regions, namely by grouping districts/cities based on indicators of nderdeveloped areas. This research was conducted using secondary data obtained from the Central Statistics Agency (BPS) of Maluku Province. The method used in this study is to use the K-Means Cluster analysis method. The results of the study indicate that there are 2 classifications of underdeveloped and undeveloped areas in Maluku Province. Cluster 1 consists of Tanimbar Islands Regency, Southeast Maluku Regency, Central Maluku Regency, Buru Regency, Aru Islands Regency, West Seram Regency, Eastern Seram Regency, Southwest Maluku Regency, South Buru Regency and Tual City. In Cluster 2 there is only one area, namely Ambon City. |
| first_indexed | 2024-04-11T05:59:47Z |
| format | Article |
| id | doaj.art-78d6cca25e55406ebba8ec9d3c841063 |
| institution | Directory Open Access Journal |
| issn | 2579-9118 2549-9750 |
| language | English |
| last_indexed | 2024-04-11T05:59:47Z |
| publishDate | 2022-11-01 |
| publisher | Universitas Muhammadiyah Purwokerto |
| record_format | Article |
| series | JRST: Jurnal Riset Sains dan Teknologi |
| spelling | doaj.art-78d6cca25e55406ebba8ec9d3c8410632022-12-22T04:41:47ZengUniversitas Muhammadiyah PurwokertoJRST: Jurnal Riset Sains dan Teknologi2579-91182549-97502022-11-0161616410.30595/jrst.v6i1.116374861Application of the K-Means Cluster for the Classification of Disadvantaged Districts/Cities in Maluku ProvinceMuhammad Yahya Matdoan0Faraniena Yunaeni Risdiana1Gabriella Haumahu2Universitas PattimuraState Islamic Institute MaduraUniversitas PattimuraMaluku Province is still the 4th poorest province in Indonesia. This is due to the disparity in development between the provincial and district centers, cities and villages as well as government work programs that are not implemented evenly. To overcome and evaluate these problems, it is necessary to plan or study the classification of underdeveloped regions, namely by grouping districts/cities based on indicators of nderdeveloped areas. This research was conducted using secondary data obtained from the Central Statistics Agency (BPS) of Maluku Province. The method used in this study is to use the K-Means Cluster analysis method. The results of the study indicate that there are 2 classifications of underdeveloped and undeveloped areas in Maluku Province. Cluster 1 consists of Tanimbar Islands Regency, Southeast Maluku Regency, Central Maluku Regency, Buru Regency, Aru Islands Regency, West Seram Regency, Eastern Seram Regency, Southwest Maluku Regency, South Buru Regency and Tual City. In Cluster 2 there is only one area, namely Ambon City.https://jurnalnasional.ump.ac.id/index.php/JRST/article/view/11637classificationk-meansdisadventages areasmaluku |
| spellingShingle | Muhammad Yahya Matdoan Faraniena Yunaeni Risdiana Gabriella Haumahu Application of the K-Means Cluster for the Classification of Disadvantaged Districts/Cities in Maluku Province JRST: Jurnal Riset Sains dan Teknologi classification k-means disadventages areas maluku |
| title | Application of the K-Means Cluster for the Classification of Disadvantaged Districts/Cities in Maluku Province |
| title_full | Application of the K-Means Cluster for the Classification of Disadvantaged Districts/Cities in Maluku Province |
| title_fullStr | Application of the K-Means Cluster for the Classification of Disadvantaged Districts/Cities in Maluku Province |
| title_full_unstemmed | Application of the K-Means Cluster for the Classification of Disadvantaged Districts/Cities in Maluku Province |
| title_short | Application of the K-Means Cluster for the Classification of Disadvantaged Districts/Cities in Maluku Province |
| title_sort | application of the k means cluster for the classification of disadvantaged districts cities in maluku province |
| topic | classification k-means disadventages areas maluku |
| url | https://jurnalnasional.ump.ac.id/index.php/JRST/article/view/11637 |
| work_keys_str_mv | AT muhammadyahyamatdoan applicationofthekmeansclusterfortheclassificationofdisadvantageddistrictscitiesinmalukuprovince AT faranienayunaenirisdiana applicationofthekmeansclusterfortheclassificationofdisadvantageddistrictscitiesinmalukuprovince AT gabriellahaumahu applicationofthekmeansclusterfortheclassificationofdisadvantageddistrictscitiesinmalukuprovince |