PEMODELAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN MENGGUNAKAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION
Economic growth can be measured by amount of Gross Regional Domestic Product (GRDP). Based on official news of statistics BPS, Economic growth in Banten region has increase up to 5.59%. It supported by several sector, there are agriculture, business, industry and from various fields. Mixed Geographi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universitas Diponegoro
2018-09-01
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| Series: | Media Statistika |
| Online Access: | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/19739 |
| _version_ | 1818923360545931264 |
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| author | Hasbi Yasin Budi Warsito Arief Rachman Hakim |
| author_facet | Hasbi Yasin Budi Warsito Arief Rachman Hakim |
| author_sort | Hasbi Yasin |
| collection | DOAJ |
| description | Economic growth can be measured by amount of Gross Regional Domestic Product (GRDP). Based on official news of statistics BPS, Economic growth in Banten region has increase up to 5.59%. It supported by several sector, there are agriculture, business, industry and from various fields. Mixed Geographically Weighted Regression (MGWR) methods have been developed based on linear regression by giving spatial effect or location (longitude and latitude), the resulting model from Economic growth in Banten will be local or different based on each location. MGWR mixed method between linear regression and GWR, parameters in linear regression are global and GWR parameters are local. The results more specific because economic growth in Banten region assessed by location.
Keywords: Banten, Economic growth, MGWR. |
| first_indexed | 2024-12-20T02:08:12Z |
| format | Article |
| id | doaj.art-bff890a31f6a42b1ab9c32da35328411 |
| institution | Directory Open Access Journal |
| issn | 1979-3693 2477-0647 |
| language | English |
| last_indexed | 2024-12-20T02:08:12Z |
| publishDate | 2018-09-01 |
| publisher | Universitas Diponegoro |
| record_format | Article |
| series | Media Statistika |
| spelling | doaj.art-bff890a31f6a42b1ab9c32da353284112022-12-21T19:57:08ZengUniversitas DiponegoroMedia Statistika1979-36932477-06472018-09-01111536410.14710/medstat.11.1.53-6413776PEMODELAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN MENGGUNAKAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSIONHasbi Yasin0Budi Warsito1Arief Rachman Hakim2Departemen Statistika, Fakultas Sains dan Matematika, Universitas DiponegoroDepartemen Statistika, Fakultas Sains dan Matematika, Universitas DiponegoroDepartemen Statistika, Fakultas Sains dan Matematika, Universitas DiponegoroEconomic growth can be measured by amount of Gross Regional Domestic Product (GRDP). Based on official news of statistics BPS, Economic growth in Banten region has increase up to 5.59%. It supported by several sector, there are agriculture, business, industry and from various fields. Mixed Geographically Weighted Regression (MGWR) methods have been developed based on linear regression by giving spatial effect or location (longitude and latitude), the resulting model from Economic growth in Banten will be local or different based on each location. MGWR mixed method between linear regression and GWR, parameters in linear regression are global and GWR parameters are local. The results more specific because economic growth in Banten region assessed by location. Keywords: Banten, Economic growth, MGWR.https://ejournal.undip.ac.id/index.php/media_statistika/article/view/19739 |
| spellingShingle | Hasbi Yasin Budi Warsito Arief Rachman Hakim PEMODELAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN MENGGUNAKAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION Media Statistika |
| title | PEMODELAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN MENGGUNAKAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION |
| title_full | PEMODELAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN MENGGUNAKAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION |
| title_fullStr | PEMODELAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN MENGGUNAKAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION |
| title_full_unstemmed | PEMODELAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN MENGGUNAKAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION |
| title_short | PEMODELAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN MENGGUNAKAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION |
| title_sort | pemodelan pertumbuhan ekonomi di provinsi banten menggunakan mixed geographically weighted regression |
| url | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/19739 |
| work_keys_str_mv | AT hasbiyasin pemodelanpertumbuhanekonomidiprovinsibantenmenggunakanmixedgeographicallyweightedregression AT budiwarsito pemodelanpertumbuhanekonomidiprovinsibantenmenggunakanmixedgeographicallyweightedregression AT ariefrachmanhakim pemodelanpertumbuhanekonomidiprovinsibantenmenggunakanmixedgeographicallyweightedregression |