Pengelompokkan Provinsi di Indonesia Berdasarkan PDRB atas Dasar Harga Konstan Tahun 2013
Regional gross domestic product is one of the important indicators to determine economic conditions in an area. Therefore it is very interesting to discuss and to determine the economic progress of a region. Cluster anlysis aims to classify objects based on the characteristics into cluster that have...
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doaj-4bdcd44d791f455396e8d7c6ac0c60c82020-11-25T00:33:36ZengUniversitas UdayanaJurnal Matematika1693-13942017-12-0172768410.24843/JMAT.2017.v07.i02.p8437020Pengelompokkan Provinsi di Indonesia Berdasarkan PDRB atas Dasar Harga Konstan Tahun 2013Ferry Kondo Lembang0Patresya Yulita Lessil1Salmon Notje Aulele2Universitas PattimuraUniversitas PattimuraUniversitas PattimuraRegional gross domestic product is one of the important indicators to determine economic conditions in an area. Therefore it is very interesting to discuss and to determine the economic progress of a region. Cluster anlysis aims to classify objects based on the characteristics into cluster that have the properties that are relatively similar and clearly distinguish between one cluster agains another. The main objective of the research that classifies 33 provinces based on the value of regional gross domestic product at constant price in 2013 using hierarchical cluster analysis for average linkage method. The results showed that the cluster were carried out on 33 provinces in Indonesia formed 3 cluster with details of that cluster 1 consisting of Sumatera, Kalimantan, Sulawesi, Nusa Tenggara, Bali, Papua, Maluku and Jawa Tengah, DI Yogyakarta, and Banten, cluster 2 consisting of 1 provinces of DKI Jakarta and cluster 3 which consists of 2 provinces namely Jawa Barat dan Jawa Timur.https://ojs.unud.ac.id/index.php/jmat/article/view/37020 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ferry Kondo Lembang Patresya Yulita Lessil Salmon Notje Aulele |
spellingShingle |
Ferry Kondo Lembang Patresya Yulita Lessil Salmon Notje Aulele Pengelompokkan Provinsi di Indonesia Berdasarkan PDRB atas Dasar Harga Konstan Tahun 2013 Jurnal Matematika |
author_facet |
Ferry Kondo Lembang Patresya Yulita Lessil Salmon Notje Aulele |
author_sort |
Ferry Kondo Lembang |
title |
Pengelompokkan Provinsi di Indonesia Berdasarkan PDRB atas Dasar Harga Konstan Tahun 2013 |
title_short |
Pengelompokkan Provinsi di Indonesia Berdasarkan PDRB atas Dasar Harga Konstan Tahun 2013 |
title_full |
Pengelompokkan Provinsi di Indonesia Berdasarkan PDRB atas Dasar Harga Konstan Tahun 2013 |
title_fullStr |
Pengelompokkan Provinsi di Indonesia Berdasarkan PDRB atas Dasar Harga Konstan Tahun 2013 |
title_full_unstemmed |
Pengelompokkan Provinsi di Indonesia Berdasarkan PDRB atas Dasar Harga Konstan Tahun 2013 |
title_sort |
pengelompokkan provinsi di indonesia berdasarkan pdrb atas dasar harga konstan tahun 2013 |
publisher |
Universitas Udayana |
series |
Jurnal Matematika |
issn |
1693-1394 |
publishDate |
2017-12-01 |
description |
Regional gross domestic product is one of the important indicators to determine economic conditions in an area. Therefore it is very interesting to discuss and to determine the economic progress of a region. Cluster anlysis aims to classify objects based on the characteristics into cluster that have the properties that are relatively similar and clearly distinguish between one cluster agains another. The main objective of the research that classifies 33 provinces based on the value of regional gross domestic product at constant price in 2013 using hierarchical cluster analysis for average linkage method. The results showed that the cluster were carried out on 33 provinces in Indonesia formed 3 cluster with details of that cluster 1 consisting of Sumatera, Kalimantan, Sulawesi, Nusa Tenggara, Bali, Papua, Maluku and Jawa Tengah, DI Yogyakarta, and Banten, cluster 2 consisting of 1 provinces of DKI Jakarta and cluster 3 which consists of 2 provinces namely Jawa Barat dan Jawa Timur. |
url |
https://ojs.unud.ac.id/index.php/jmat/article/view/37020 |
work_keys_str_mv |
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