PENGARUH JUMLAH INDUSTRI, TENAGA KERJA DAN UPAH MINIMUM TERHADAP PRODUK DOMESTIK REGIONAL BRUTO (PDRB) SEKTOR INDUSTRI PENGOLAHAN KABUPATEN DAN KOTA DI PROVINSI BANTEN TAHUN 2011 – 2016
| Main Author: | SETIAWAN, ADAM |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2018
|
| Subjects: | |
| Online Access: |
https://eprints.untirta.ac.id/1915/1/PENGARUH%20JUMLAH%20INDUSTRI%2C%20TENAGA%20KERJA%20DAN%20UPAH%20MINIMUM%20TERHADAP%20PRODUK%20DOMESTIK%20REGIONAL%20BRUTO%20%28PDRB%29%20SEKTOR%20INDUSTRI%20PENGOLAHAN%20KABUPATEN%20DAN%20KOTA%20DI%20PROVINSI%20BANTEN.PDF https://eprints.untirta.ac.id/1915/ |
| ctrlnum |
1915 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>https://eprints.untirta.ac.id/1915/</relation><title>PENGARUH JUMLAH INDUSTRI, TENAGA KERJA DAN UPAH
MINIMUM TERHADAP PRODUK DOMESTIK REGIONAL BRUTO 
(PDRB) SEKTOR INDUSTRI PENGOLAHAN KABUPATEN DAN KOTA DI PROVINSI BANTEN TAHUN 2011 – 2016</title><creator>SETIAWAN, ADAM</creator><subject>HB Economic Theory</subject><subject>HC Economic History and Conditions</subject><description>This essay entitled Influence of Number of Industry, Labor and Minimum Wage to
Gross Regional Domestic Product of Regency and City Processing Industry
Sector in Banten Province Year 2011 - 2016. The purpose of this research is to
know the influence of Total Industry, Labor and Minimum Wages partially and
simultaneously to Gross Regional Domestic Product of Regency and City
Processing Industry Sector in Banten Province. Research method using
quantitative method. Sources of research data is secondary data in the form of
panel data, ie cross section data and time series data obtained from Central
Bureau of Statistics Kabupaten and Kota Banten Province. Technique of data
collecting done by documentation study. Data analysis using panel data
regression. Based on the results of data processing, it is known that the value of R
Square is 0.883486. This shows the variation of the GDP variable in the
Manufacturing Industry Sector can be explained by 88.34% by the variable 
number of industries, labor and minimum wages while the rest is explained by 
other variables not examined. The results of the t test, it is known that the number
of industries, labor and minimum wages have a significant positive effect partially
on the Gross Regional Domestic Product. F test results, it is known that the
variables of the number of industries, labor and minimum wages have a
significant positive effect simultaneously on the Gross Regional Domestic Product of Regency and City in Banten Province.</description><date>2018</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>https://eprints.untirta.ac.id/1915/1/PENGARUH%20JUMLAH%20INDUSTRI%2C%20TENAGA%20KERJA%20DAN%20UPAH%20MINIMUM%20TERHADAP%20PRODUK%20DOMESTIK%20REGIONAL%20BRUTO%20%28PDRB%29%20SEKTOR%20INDUSTRI%20PENGOLAHAN%20KABUPATEN%20DAN%20KOTA%20DI%20PROVINSI%20BANTEN.PDF</identifier><identifier> SETIAWAN, ADAM (2018) PENGARUH JUMLAH INDUSTRI, TENAGA KERJA DAN UPAH MINIMUM TERHADAP PRODUK DOMESTIK REGIONAL BRUTO (PDRB) SEKTOR INDUSTRI PENGOLAHAN KABUPATEN DAN KOTA DI PROVINSI BANTEN TAHUN 2011 – 2016. S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA. </identifier><recordID>1915</recordID></dc>
|
| language |
eng |
| format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview Book:Book Book |
| author |
SETIAWAN, ADAM |
| title |
PENGARUH JUMLAH INDUSTRI, TENAGA KERJA DAN UPAH
MINIMUM TERHADAP PRODUK DOMESTIK REGIONAL BRUTO
(PDRB) SEKTOR INDUSTRI PENGOLAHAN KABUPATEN DAN KOTA DI PROVINSI BANTEN TAHUN 2011 – 2016 |
| publishDate |
2018 |
| topic |
HB Economic Theory HC Economic History and Conditions |
| url |
https://eprints.untirta.ac.id/1915/1/PENGARUH%20JUMLAH%20INDUSTRI%2C%20TENAGA%20KERJA%20DAN%20UPAH%20MINIMUM%20TERHADAP%20PRODUK%20DOMESTIK%20REGIONAL%20BRUTO%20%28PDRB%29%20SEKTOR%20INDUSTRI%20PENGOLAHAN%20KABUPATEN%20DAN%20KOTA%20DI%20PROVINSI%20BANTEN.PDF https://eprints.untirta.ac.id/1915/ |
| contents |
This essay entitled Influence of Number of Industry, Labor and Minimum Wage to
Gross Regional Domestic Product of Regency and City Processing Industry
Sector in Banten Province Year 2011 - 2016. The purpose of this research is to
know the influence of Total Industry, Labor and Minimum Wages partially and
simultaneously to Gross Regional Domestic Product of Regency and City
Processing Industry Sector in Banten Province. Research method using
quantitative method. Sources of research data is secondary data in the form of
panel data, ie cross section data and time series data obtained from Central
Bureau of Statistics Kabupaten and Kota Banten Province. Technique of data
collecting done by documentation study. Data analysis using panel data
regression. Based on the results of data processing, it is known that the value of R
Square is 0.883486. This shows the variation of the GDP variable in the
Manufacturing Industry Sector can be explained by 88.34% by the variable
number of industries, labor and minimum wages while the rest is explained by
other variables not examined. The results of the t test, it is known that the number
of industries, labor and minimum wages have a significant positive effect partially
on the Gross Regional Domestic Product. F test results, it is known that the
variables of the number of industries, labor and minimum wages have a
significant positive effect simultaneously on the Gross Regional Domestic Product of Regency and City in Banten Province. |
| id |
IOS3442.1915 |
| institution |
Universitas Sultan Ageng Tirtayasa |
| institution_id |
89 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas Sultan Ageng Tirtayasa |
| library_id |
598 |
| collection |
Repository Universitas Sultan Ageng Tirtayasa |
| repository_id |
3442 |
| subject_area |
Administrasi Negara dan Militer Akuntansi Arsitektur |
| city |
KOTA SERANG |
| province |
BANTEN |
| repoId |
IOS3442 |
| first_indexed |
2023-03-04T21:42:09Z |
| last_indexed |
2023-04-29T09:37:27Z |
| recordtype |
dc |
| _version_ |
1764503491408035840 |
| score |
17.538404 |