Damayanti, Riza (2016) Analisis Pola Hubungan PDRB Dengan Faktor Pencemaran Lingkungan Di Indonesia Menggunakan Pendekatan Geographically Weighted Regression (GWR). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
PDRB merupakan salah satu indikator perekonomian suatu
wilayah. Perhitungan PDRB salah satunya berkaitan dengan penggunaan
sumber daya alam, dimana perhitungan yang digunakan menggunakan
pendekatan nilai tambah atau produksi. Faktor pencemaran lingkungan
berpengaruh terhadap ketersediaan sumber daya alam, sehingga mempunyai
pengaruh dalam menentukan tinggi rendahnya PDRB suatu provinsi.
Berbagai penelitian PDRB dengan metode statistika sudah banyak dilakukan.
Namun, penelitian tersebut belum ada yang memodelkan antara
PDRB dengan faktor pencemaran lingkungan, juga tanpa memperhatikan
faktor spasial. Oleh karena itu, dalam penelitian ini dilakukan analisis
spasial dengan Geographically Weighted Regression (GWR). Metode
GWR digunakan untuk memodelkan PDRB di Indonesia serta mengetahui
faktor dari segi lingkungan yang berpengaruh secara signifikan di tiap
provinsi. Hasil pemodelan dengan GWR diperoleh model yang berbedabeda
untuk tiap provinsi. Model GWR menunjukkan hasil yang lebih baik
dibandingkan model regresi global, terlihat dari nilai AIC maupun SSE
yang lebih kecil, dan R2 yang lebih besar.
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Gross domestic regional product (GDRP) is one of the regional
economy development indicators. The calculation of GDRP is related to the
use of natural resources, of which this calculation uses added value or
production approach. The factor causing environmental pollution influence
the avalaibility of natural resources. Therefore, it has affected to determine
the level of Provincial GDRP. Many studies about GDRP using statistic
method has been published. But those studies still can't represent the
corelation between GDRP and the factors causing environmental pollution,
and also recognize spatial factors. Hence, this study uses spatial analysis
with Geographical Weighted Regression (GWR). This method is used to
make a modelling of GDRP in indonesia and to determine the related
environmental factor in every province. The output of GWR modelling is
various in every province. The result using gwr modelling is much better
than the method using global regression, shown by the lower AIC and SSE
value, and the higher R2 value
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSSt 519.537 Dam a |
| Uncontrolled Keywords: | GWR, Lingkungan, PDRB, Regresi Linier Berganda |
| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Tondo Indra Nyata |
| Date Deposited: | 27 Feb 2018 08:32 |
| Last Modified: | 26 Dec 2018 07:13 |
| URI: | http://repository.its.ac.id/id/eprint/51393 |
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