Addini, Rosa Viana Nur (2021) Analisis Faktor-Faktor yang Mempengaruhi Produk Domestik Regional Bruto Berdasarkan Kondisi Infrastruktur di Jawa Timur Menggunakan Regresi Data Panel. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pencapaian perekonomian yang tinggi berkaitan dengan infrastruktur yang ada di negara atau wilayah tersebut. Infrastruktur merupakan aspek penting sebagai roda penggerak perekonomian dan pendukung utama dari elemen sistem sosial ekonomi dalam bermasyarakat. Tujuan dari penelitian ini untuk mengetahui karakteristik data dan faktor-faktor apa saja yang mempengaruhi Produk Domestik Regional Bruto (PDRB) atas dasar harga konstan 2010 berdasarkan kondisi infrastruktur di setiap Kabupaten/Kota di Jawa Timur pada tahun 2016 hingga 2019 menggunakan statistika deskriptif dan regresi data panel. Berdasarkan analisis didapatkan bahwa Kota Surabaya sebagai kota di Jawa Timur yang unggul di semua infrastruktur. Didapatkan model terbaik yang terpilih adalah REM (Random Effect Model) dengan variabel infrastruktur kesehatan, infrastruktur air, dan infrastruktur hotel, penginapan, dan restoran berpengaruh signifikan positif terhadap PDRB Jawa Timur dengan koefisien determinasi sebesar 72,35%, dimana model mampu menjelaskan variasi PDRB di Jawa Timur sebesar 72,35%, sedangkan sisanya 27,65% dijelaskan oleh variabel lain yang belum masuk dalam model.
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The achievement of high economic growth is closely related to the existing infrastructure in the country or region. Infrastructure is an important aspect as the driving force of the economy and the main supporter of the elements of the socio-economic system in society. The purpose of this study is to determine the characteristics of the data and what factors affect the Gross Regional Domestic Product (GRDP) at constant prices in 2010 based on infrastructure conditions in each Regency/City in East Java in 2016 to 2019 using descriptive statistics and data regression. panel. Based on the analysis, it was found that the city of Surabaya as a city in East Java is superior in all infrastructure. The best model chosen was REM (Random Effect Model) with variables of health infrastructure, water infrastructure, and hotel, lodging, and restaurant infrastructure having a significant positive effect on East Java's GRDP with a coefficient of determination of 72.35%, where the model is able to explain variations in GRDP in East Java by 72.35%, while the remaining 27.65% is explained by other variables that have not been included in the model.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Data Panel, Infrastruktur, PDRB, Regresi Panel Data, Infrastructure, GRDP, Regression |
| Subjects: | H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Rosa Viana Nur Addini |
| Date Deposited: | 14 Aug 2021 08:41 |
| Last Modified: | 21 Jun 2024 08:11 |
| URI: | http://repository.its.ac.id/id/eprint/85953 |
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