scholarly journals The Effect of Investment, District Minimum Wages, and Number of Small Medium Industry Units on Labor Employment: Empirical Study on The District/City Small Medium Industry Sector 2013 - 2019

2021 ◽  
Vol 1 (1) ◽  
pp. 61-76
Author(s):  
Hesa Murti Cahyo Jati ◽  
Akhmad Syari’udin
Keyword(s):  
Secondary Data ◽  
Fixed Effect Model ◽  
Minimum Wages ◽  
Analysis Tool ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
City District ◽  
Small Industry ◽  
Small And Medium Industry

Minimum Wages, Numbers of medium and small industry on Employment of small and medium Industry, in the city/district of the Special Region of Yogyakarta in 2013-2019. This research is based on secondary data, namely data sourced from the book of small and medium industry potential and publication of the Central Bureau of Statistics. The analysis tool used is panel data regression with the fixed effect model method. Based on the results of the study, the Investment has a positive and significant effect on the Employment of Small and Medium Industry, the Regional Minimum Wages has a negative and significant effect on the Employment of Small and Medium Industry, and the number of Small and Medium industry has a positive and significant effect on the Employment of Small and Medium Industry.

Dana pihak ketiga, Inflasi dan Pembiayaan Mudharabah terhadap Non Performing Financing pada Bank Islam di Indonesia dan Malaysia

2019 ◽  
Vol 16 (2) ◽  
pp. 74-80
Author(s):  
Afrillia Tiara Putri ◽  
Saadah Yuliana ◽  
Anna Yulianita
Keyword(s):  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Third Party ◽  
Coefficient Of Determination ◽  
Islamic Banks ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

This study aimed to analyze the influence of third party funds, inflation, and mudharabah against non performing financing on Islamic Banks in Indonesia and Malaysia. Data used is secondary data. The method used in this analysis is the panel data regression. The results showed that in partial third party fund and mudharabah significant negative effect on the Non Performing Financing, while inflation is positive and not significant to the Non Performing Financing. Variable Third Party Funds, Inflation and mudharabah jointly significant effect on Non Performing Financing. Based on the regression equation fixed effect model results show the results of the coefficient of determination (R2) is 0.369198, or 36.91 per cent means that the variation of the variable third party funds, inflation and mudharabah have an influence on the non performing financing for the coefficient of determination, while the rest 63.09 percent influenced by variables outside the model

scholarly journals THE EFFECT OF MINIMUM WAGE, INVESTMENT, GRDP, AND TECHNOLOGY INDEX ON INDONESIAN LABOR ABSORPTION

2021 ◽  
Vol 6 (1) ◽  
pp. 82
Author(s):  
Siti Safi'atul Ummah
Keyword(s):  
Minimum Wage ◽  
Development Process ◽  
Hypothesis Test ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Analysis Techniques ◽  
Independent Variables ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Labor issues become an obstacle to the development process in a country. This problem arises due to a lack of employment opportunities, so that the existing workforce is not maximally absorbed. This problem is not spared from several development factors including the minimum wage, investment, GRDP and technology index. With the aim of knowing the influence of the minimum wage, investment, GRDP and technology index variables with the Indonesian labor absorption variable in 2015-2019. Using secondary data obtained from BPS Indonesia and using panel data regression analysis techniques with the Fixed Effect model as the selected model and using classical assumption tests and hypothesis testing. The results of the hypothesis test show that the influence of the minimum wage, investment, GRDP and technology index variables has an effect on the labor absorption variable simultaneously. The magnitude of the effect (R²) by all independent variables shows that the minimum wage, investment, GRDP and technology index have an effect of 99.82% on the depnden variable (labor absorption).

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI RETURN SAHAM PADA BANK UMUM YANG TERDAFTAR DI BURSA EFEK INDONESIA

2021 ◽  
Vol 5 (1) ◽  
pp. 42-55
Author(s):  
Mulia Andirfa ◽  
Eka Chyntia ◽  
Iva Septarina ◽  
Maryana
Keyword(s):  
Stock Returns ◽  
Commercial Banks ◽  
Stock Exchange ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Financial Reports ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Positive Effect

This study aims to analyze the effect of ROE, CAR, NPL, BOPO, and DER simultaneously on stock returns in  commercial banks listed on the Indonesia Stock Exchange. The data used in this study are secondary data in the form of financial reports at PT. Bank Rakyat Indonesi Tbk, PT. Bank Negara Indonesia Tbk, PT. Bank Mandiri Tbk, PT. Bank Central Asia Tbk, and PT. Bank Mega Tbk. from 2014-2019. The data analysis method used is panel data regression analysis, namely the Fixed Effect Model (FEM). The results showed that: ROE theoretically and statistically affect stock returns in commercial banks listed on the Indonesia Stock Exchange. CAR is theoretically and statistically insignificant to stock returns in Commercial Banks listed on the Indonesia Stock Exchange. BOPO has a theoretical effect but does not have a statistical and significant effect on stock returns in  commercial banks listed on the Indonesia Stock Exchange. NPL and DER have no effect on stock returns in Commercial Banks listed on the Indonesia Stock Exchange. ROE, CAR, NPL, BOPO and DER simultaneously have a positive effect on stock returns in) Commercial Banks listed on the Indonesia Stock Exchange. ROE, CAR, NPL, BOPO and DER have the ability to explain their effect on stock returns in Commercial Banks listed on the Indonesia Stock Exchange of 44.09%. The remaining 55.01% is influenced by other variables outside this research model.

scholarly journals PENGARUH TINDAK KORUPSI TERHADAP KEMISKINAN DI NEGARA-NEGARA ASIA TENGGARA DENGAN MODEL PANEL DATA

2020 ◽  
Vol 4 (2) ◽  
pp. 311-320
Author(s):  
Aditya Firman Baktiar ◽  
Herpanindra Fadhilah ◽  
Margareth Dwiyanti Simatupang ◽  
Mula Warman ◽  
Salsa Vira ◽  
...  
Keyword(s):  
Panel Data ◽  
Southeast Asia ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The World ◽  
Data Source ◽  
High Level

Poverty is still being an issue all over the world. It also happens in Southeast Asia that mostly consists of developing countries that identic with high poverty rates. Countries in the world have tried to eradicate the problem of poverty, it's just that it can be hampered due to the high level of corruption. This study aims to look at suitable models and the relationship between corruption and poverty. The data source in this study is secondary data from ten countries in Southeast Asia from 2015 to 2018. Analysis of the data used in this study is panel data. The result obtained is a panel data regression model that is more suitable for modeling the effect of corruption on poverty in Southeast Asian countries is a fixed effect model. Based on the model, the corruption represented by Corruption Perception Index (CPI) and the poverty represented by Human Development Index (HDI) is directly proportional which means every increase in one unit of CPI will also increase the HDI score by 0.001443 unit.

scholarly journals PERTUMBUHAN EKONOMI, DISPARITAS PENDAPATAN DAN KESEJAHTERAAN KABUPATEN/KOTA DI PROVINSI NUSA TENGGARA BARAT

GANEC SWARA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 59
Author(s):  
BAIQ HIPZIWATY ◽  
PUTU KARISMAWAN ◽  
BAIQ ISMIWATY
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Income Disparity ◽  
The People ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to analyze economic growth, income disparity and community welfare in the West Nusa Tenggara Province.     This research is a descriptive study using secondary data obtained from relevant agencies in the form of GRDP data, population, economic growth, HDI and per capita income between regencies / cities in NTB Province and data collection using the case method. With analytical procedures using Williamson index and panel data regression analysis.     The results showed that during the period of 2010-2016 the average economic growth of West Nusa Tenggara Province was 6.0%. The income disparity seen from the Williamson index in the 2010-2016 period is classified as a medium inequality criterion. The estimation results of the relationship between the variables of economic growth, income disparity and the welfare of the people of West Nusa Tenggara Province measured using HDI in 2010-2016 using panel data regression analysis with the Fixed Effect model (FEM), found that economic growth variables were positively related, but not significant to welfare society. The variable income disparity is significantly related to the welfare of the people of NTB Province.

scholarly journals Revenue Discrepancy Determinant in Central Java Province (After a Decade of Autonomy and Fiscal Decentralization Implementation)

2018 ◽  
Vol 73 ◽  
pp. 10006
Author(s):  
Sasana Hadi
Keyword(s):  
Income Inequality ◽  
Fiscal Decentralization ◽  
Government Expenditure ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Analysis Tool ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression ◽  
Central Java Province

This study was to analyze the determinants of revenue discrepancy in the Central Java province. The analysis tool used was panel data regression with fixed effect model method, using secondary data obtained from 35 districts of Central Java Province during 2010-2015. The results indicated that government expenditure and investment variable have positive and significant impact on income inequality in Central Java, while inflation variable has a negative and significant effect on income inequality in Central Java. In addition, economic growth variable and minimum wage of the region have no significant effect on income gap in Central Java

scholarly journals Analysis Of Effect Of ZIS (Zakat, Infaq, And Shadaqah), Regional Domestic Products Of Bruto, Regional Minimum Wage And Inflation On Levels Poverty In Indonesia 2012 – 2016

2019 ◽  
Vol 2 (2) ◽  
pp. 193-211
Author(s):  
Fiky Nila Mustika ◽  
Eni Setyowati ◽  
Azhar Alam
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Minimum Wages ◽  
Effect Model ◽  
Panel Data Regression ◽  
The Impact ◽  
Poverty Levels ◽  
Domestic Products

This study investigated the impact of ZIS (Zakat, Infaq, and Sadaqah) Gross Regional Domestic Products, Regional Minimum Wages, and Inflation on Poverty Levels in Indonesia during the 2012-2016 period. .This paper used secondary data in the panel data form. This research conducted a quantitative approach using panel data regression. Based on the results of the panel data testing, the best model chosen is the Random Effect Model (REM). Variables of gross regional domestic products and regional minimum wages have a significant effect on poverty levels in Indonesia while the variables of zakat, infaq, and shadaqah (ZIS) and inflation do not influence the level of poverty in Indonesia.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI PRODUKSI TEBU PADA SUB SEKTOR PERKEBUNAN DI PROVINSI JAWA TIMUR TAHUN 2011-2015

2017 ◽  
Vol 15 (2) ◽  
pp. 193
Author(s):  
Moch. Arif Dausin Nazula Achadin
Keyword(s):  
Random Effect ◽  
Random Effect Model ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Land Area ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Production Value ◽  
Plantation Labor

The goal of this research is to know the influence of the land area and the amount of sugar cane plantation labor in the plantation in East Java province year 2011-2015 and analysis whether there is a difference between production of Kabupaten/Kota cane producer on a plantation in East Java province year 2011-2015. Analysis tool used is a panel data regression then do hypothesis testing with F-test, t-test, and the coefficient of Determination () on error rate α = 5%.The results of the regression analysis of the data panel with the selected model is a Random Effect Model showed that the land area of influential labor and significantly to the amount of production value of each 0.97 to land area and 0.04 for amount of labor. While the value of the coefficient of determination () is 0.99 or 99%, this indicates that the ability of the variable land area and the amount of labor in explaining the amount of production of 99%.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI PRODUKSI TEBU PADA SUB SEKTOR PERKEBUNAN DI PROVINSI JAWA TIMUR TAHUN 2011-2015

2017 ◽  
Vol 15 (2) ◽  
pp. 193
Author(s):  
Moch. Arif Dausin Nazula Achadin
Keyword(s):  
Random Effect ◽  
Random Effect Model ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Land Area ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Production Value ◽  
Plantation Labor

The goal of this research is to know the influence of the land area and the amount of sugar cane plantation labor in the plantation in East Java province year 2011-2015 and analysis whether there is a difference between production of Kabupaten/Kota cane producer on a plantation in East Java province year 2011-2015. Analysis tool used is a panel data regression then do hypothesis testing with F-test, t-test, and the coefficient of Determination () on error rate α = 5%.The results of the regression analysis of the data panel with the selected model is a Random Effect Model showed that the land area of influential labor and significantly to the amount of production value of each 0.97 to land area and 0.04 for amount of labor. While the value of the coefficient of determination () is 0.99 or 99%, this indicates that the ability of the variable land area and the amount of labor in explaining the amount of production of 99%.

scholarly journals Pengaruh Pendapatan Asli Daerah dan Dana Alokasi Umum Terhadap Belanja Modal Pada 19 Kabupaten dan Kota di Sumatera Barat

2021 ◽  
Vol 5 (1) ◽  
pp. 61-70
Author(s):  
Joni Fernandes ◽  
Devi Oktavia
Keyword(s):  
Sampling Technique ◽  
Fixed Effect Model ◽  
Capital Expenditures ◽  
Local Revenue ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
West Sumatra ◽  
Basic Infrastructure ◽  
Positive Effect

The low absorption of the budget in capital expenditures can have an impact, including, for example, the poor local infrastructure that is currently owned and the absence of a significant additional number of projects in the new infrastructure sector, the absence of basic infrastructure such as ports, roads, clean water processing and generators electricity. The purpose of this study was to determine how much influence local revenue and general allocation funds have on capital expenditures in 19 districts and cities in West Sumatra for the 2015–2019 period. Total sampling method is used for the sampling technique and obtained 95 data. The Central Bureau of Statistics of West Sumatra Province is a place for data collection through the website www.sumbar.bps.go.id. Panel data regression analysis is the analysis method used  with the help of the E-Views 8 application. After the Hausman-Test was carried out, it was decided to use the Fixed Effect Model method. The results showed that there was a positive effect of PAD and DAU on capital expenditures, both individually and collectively.

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