FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT PENGANGGURAN DI DAERAH ISTIMEWA YOGYAKARTA (DIY) TAHUN 1985-2011

MODUS ◽  
2016 ◽  
Vol 26 (2) ◽  
pp. 173
Author(s):  
Norman Luther Aruan ◽  
D Sriyono
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Economic Crisis ◽  
Unemployment Rate ◽  
Secondary Data ◽  
Problem Formulation ◽  
Analytical Tool ◽  
Minimum Wages ◽  
Partial Adjustment ◽  
Special Region

This study aims to identify and analyze the efect of economic growth, real minimum wages, infation and the economic crisis in Indonesia in 1998 on the unemployment rate in the Special Region of Yogyakarta (DIY) in the 1985-2011 period. The data used are secondary data obtained from the Central Bureau of Statistics published in the various editions. Te analytical tool used to answer the problem formulation is the regression analysis using partial adjustment models (PAM). The analysis and hypothesis testing show that the economic growth, infation rate and the period of economic crisis in Indonesia in 1998 have a signifcant efect on the unemployment rate in the province, while the real minimum wage has no efect on the unemployment rate in the province.Keywords: unemployment, economic growth, real minimum wages, infation rates, partial adjustment models (PAM).

scholarly journals Analisis Pengaruh Pertumbuhan Ekonomi, Jumlah Angkatan Kerja dan Upah Minimum Regional Terhadap Pengangguran Terdidik di Jawa Timur

2017 ◽  
Vol 4 (2) ◽  
pp. 187
Author(s):  
R. Achmad Ryan Z ◽  
Nanik Istiyani ◽  
Anifatul Hanim
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Panel Data ◽  
Labor Force ◽  
Cross Section ◽  
Secondary Data ◽  
Minimum Wages ◽  
Panel Data Regression ◽  
Data Regression

This research aimed to determine how much the influence of economic growth, the number of labor force and regional minumum wages on educated unemployment in East Java. The data used in this research is secondary data such as time series and cross section. The analytical method used in this research is panel data regression analysis. The results showed that variable of the economic growth was positifly and not significantly affect to the educated unemployment in East Java, whereas the number of labor force and regional minimum wages was positivly and significantly affect to the educated unemployment in East Java. Keywords: The Economic Growth, the Number of Labor Force and Regional Minimum Wages.

scholarly journals Determinan Tingkat Pengangguran Terbuka di Provinsi Banten Tahun 2008-2013

2017 ◽  
Vol 4 (2) ◽  
pp. 169
Author(s):  
Sunlip Wibisono ◽  
Jefti Sidania ◽  
Rafael Purtomo S
Keyword(s):  
Panel Data ◽  
Unemployment Rate ◽  
Secondary Data ◽  
Analytical Tool ◽  
Minimum Wages ◽  
Domestic Product ◽  
Regression Methods ◽  
Panel Data Regression ◽  
Data Regression

The purpose of this study was to determine of the effect of population, Gross Regional Domestic Product (GDP), and the Minimum Wages District (UMK) on the level of open unemployment rate in Banten Province. The data that used in this research was secondary data and data obtained Bps and relevance agencies. The analytical tool used in this research is panel data regression methods Fixed Effext Model (FEM). The object of this research is the district/city in Banten Province Period 2008-2013. The results of the research conducted is known that the number of populaton, GDP, and UMK significantly along the open unemployment rate in Banten Province. Keywords : Open unemployment rate, Population, GDP, and UMK

scholarly journals PENGARUH HARGA MINYAK DUNIA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA (MODERASI VARIABEL MONETER)

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Wilda Novita Sari ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Exchange Rate ◽  
Data Analysis ◽  
Secondary Data ◽  
Oil Prices ◽  
Analysis Tool ◽  
Data Analysis Tool ◽  
The Exchange Rate ◽  
The Relationship

Abstract: The purpose of this research is to be able to determine the effect of world oil prices on economic growth in Indonesia by applying the exchange rate moderating variable and the BI rate as a connecting variable. Descriptive and associative research is a type of research that is used with data collection techniques through a trusted official agency website that is classified in the quarterly time series secondary data. The data year in this study was from 2006 to 2018. Data analysis was carried out through descriptive and inductive analysis with a Moderated Regression Analysis (MRA) data analysis tool accompanied by a classic assumption test and a t test. Estimation results show that there are two research results; firstly, that the exchange rate has an effect on moderating the relationship between world oil prices and economic growth in Indonesia, secondly, that the BI rate has no influence connecting world oil prices and economic growth in Indonesia. Keywords: World oil prices, economic growth, exchange rates, BI rate, Moderated Regression Analysis (MRA).

scholarly journals Analisis Faktor–Faktor yang Mempengaruhi Alokasi Anggaran Belanja Modal

2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Agus Sukarno ◽  
Hadioetomo Hadioetomo ◽  
Agus Haryadi
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Regional Development ◽  
Capital Expenditure ◽  
Secondary Data ◽  
Revenue Sharing ◽  
Capital Cost ◽  
Regional Autonomy ◽  
Area Effect ◽  
Fixed Assets

Regional Autonomy intended that each region can be independent in conducting regional development in the form of capital cost in order to increase the area of fixed assets. The purpose of this study is to determine whether there is the influence of the Economic Growth, General Allocation Fund, Special Allocation Fund, Revenue Sharing Fund, Original Income Area, SiLPA, and Total Area against Capital Expenditure of the District/City in Indonesia. This study used secondary data obtained from the Supreme Audit Agency in 2017. The sample used in the study were 180 District/City located in Indonesia. The way to analyze the data by using multiple linier regression analysis. Based on the analysis stated that the variable Revenue Sharing Fund, Original Income Area, Total Area effect on Capital Expenditure. While Economic Growth, General Allocation Fund, Special Allocation Fund, SiLPA does not effect on Captital Expenditure.

scholarly journals PENGARUH PERTUMBUHAN EKONOMI, UPAH MINIMUM PROVINSI, DAN TINGKAT PENDIDIKAN TERHADAP PENGANGGURAN TERBUKA DI INDONESIA

Jurnal Ecogen ◽  
2018 ◽  
Vol 1 (4) ◽  
pp. 162
Author(s):  
Syurifto Prawira
Keyword(s):  
Economic Growth ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Secondary Data ◽  
Education Level ◽  
Quality Of Education ◽  
Wage System ◽  
Negative Effect ◽  
The Government

This study aims to analyze the effect of economic growth, provincial minimum wage, and education level on open unemployment rate in Indonesia in 2011-2015, either simultaneously or partially. Using panel data with Fixed Efect Model (FEM) approach and using secondary data of 33 provinces in Indonesia. The model estimation results show that the variable of economic growth, provincial minimum wage, and education level simultaneously have significant effect on open unemployment rate in Indonesia. While the partial variable of economic growth has a negative effect but no significant effect on the unemployment rate. The provincial minimum wage variable is partially positive and significant to the unemployment rate. The variable of educational level also have positive and significant effect to unemployment rate. The government is expected to pay serious attention to economic growth, minimum wage system, improving the quality of education, the issue of availability of employment opportunities. Keyword: Economic Growth, Wage, Education, and Unemployment

scholarly journals Pengaruh Pertumbuhan Ekonomi dan Pertumbuhan Penduduk Terhadap Tingkat Pengangguran di Kabupaten Mimika

2021 ◽  
Vol 1 (1) ◽  
pp. 54-66
Author(s):  
Putri Nadya Djaelani ◽  
Habel Taime
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Linear Regression ◽  
Population Growth ◽  
Unemployment Rate ◽  
Positive Relationship ◽  
Regression Coefficient ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Coefficient Of Regression

This study aims to determine the significance of the influence of economic growth and population growth on the unemployment rate in Mimika Regency. The method in this study is an associative method using multiple linear regression analysis tools with the help of SPSS statistic. Based on the results obtained in this study, the value of regression coefficient in economic growth variable was 0.058. The coefficient of positive value means that there is a positive relationship between economic growth and the unemployment rate. Then the coefficient of regression in the population growth variable was 0.451. The coefficient of positive value means that there is a positive relationship between population growth and the unemployment rate.

Faktor-Faktor yang Mempengaruhi Profitabilitas Bank Muamalat di Indonesia

2020 ◽  
Vol 6 (3) ◽  
pp. 716
Author(s):  
Yuwita Ariessa Pravasanti ◽  
Wikan Budi Utami
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Secondary Data ◽  
Sampling Technique ◽  
Analytical Tool ◽  
Financial Data ◽  
Coefficient Of Determination ◽  
Bank Profitability ◽  
Demand Deposits

This study aims to obtain empirical evidence related to the influence of Indonesian Muamalat bank profitability. Characteristics of the influence of wadi'ah demand deposits, wadi’ah savings and mudharabah savings. This study uses secondary data with quarterly financial data population of PT. Bank Muamalat Indonesia from 2011 to 2018. The sampling technique uses quarterly financial data of PT. Bank Muamalat Indonesia has 32 data. The analytical tool used is multiple regression analysis. The results showed that the wadi'ah giro variable partially had a significant effect on profit / ROA. Show that t count is 2,356 ≥ t table is 1,699 while the value of Sig. t 0.026 ≤ Sig.α 0.05. Wadi'ah savings variable partially has a significant effect on profit / ROA. Shows that t count is - 3,135 ≤ t table is 1,699 while Sig. 0.004 ≤ α 0.05. Mudharabah savings variable partially has a significant effect on profit / ROA. Shows that t arithmetic of - 0.334 ≤ t table of 1.699 while the value of Sig. α 0.741 ≥ 0.05, then Ho is rejected and H1 is accepted. The results showed that multiple regression analysis obtained the coefficient of determination (R2) was 0.412 or equal to 41.2%. This means that Wadi'ah Giro, Wadi'ah Savings and Mudharabah Savings jointly affect bank profitability.

ANALISIS PENGARUH INDEKS PEMBANGUNAN MANUSIA DAN TINGKAT PENGANGGURAN TERBUKA TERHADAP KEMISKINAN DI INDONESIA

2019 ◽  
Vol 2 (2) ◽  
pp. 77-89
Author(s):  
Saparuddin Mukhtar ◽  
Ari Saptono ◽  
As’ad Samsul Arifin
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Lagrange Multiplier Test ◽  
Development Index ◽  
Analysis Techniques ◽  
Negative Effect

Abstract - This study aims to determine the effect of Human Development Index and Open Unemployment to poverty in Indonesia. The data in this study are secondary data about the human development index, the opened unemployment rate, and the percentage of poverty. The data is obtained from panel data of 33 provinces in Indonesia for 4 years from 2011 to 2014. The data analysis techniques uses regression analysis by using Random Effects based on the results of the Lagrange Multiplier test. The results showes that the Human Development Index hasa significant negative effect to poverty. Meanwhile, the level of opened unemployment has no significant effect to poverty in Indonesia. Keywords: Human Development Index, Opened Unemployment Rate, Poverty

scholarly journals Analysis of the Effect of Increasing the GDP of Central Java Province Through Infrastructure Development

2021 ◽  
Vol 1 (6) ◽  
pp. 409-415
Author(s):  
Desy Rinika ◽  
Jeffri Winardy ◽  
Jerly Engelina ◽  
Arvin Clarence
Keyword(s):  
Economic Growth ◽  
Public Schools ◽  
Secondary Data ◽  
Analytical Tool ◽  
Infrastructure Development ◽  
Central Java ◽  
Panel Data Regression ◽  
Data Regression ◽  
Main Driver ◽  
Effect Method

Infrastructure can be said to be the main driver for the growth of economic activity in every country in the world, therefore the importance of infrastructure cannot be underestimated. However, infrastructure development for Central Java is considered to be still in its early stages and as such, inadequate infrastructure could seriously hamper the economy. This study aims to investigate the effect that an increase in GDP has on infrastructure growth through data collected from various sources. The methodology used to analyze and review the information generated by the data is a quantitative method. The data used is secondary data on infrastructure in 35 districts in Central Java from 2010 to 2020. The analytical tool used in this study is panel data regression using the fixed effect method. Indicators to determine the progress of the national economy can be seen from the values seen in various GRDP in Indonesia. The results of this study conclude that the COVID-19 pandemic has affected several things, one of which is the country's economic growth. Planned infrastructure development can bring growth to the economy of a region as in the example shown above. Infrastructure development is one of the supporting factors to increase economic growth in a region. The development can be in the form of the establishment of hospitals, transportation facilities, public schools and other.

scholarly journals Faktor-Faktor yang Mempengaruhi Tingkat Pengangguran di Kabupaten Jember

2017 ◽  
Vol 4 (1) ◽  
pp. 117
Author(s):  
Riza Firdhania ◽  
Fivien Muslihatinningsih
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Human Development ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Development Index

This research describes the relation between variables of population, inflation, minimum wage, economic growth, and humandevelopment index toward the unemployment rate in Jember. The type of data used in this research was secondary data in theform of ‘time series’ obtained from Jember Department of Labor and Central Bureau of Statistics in the year of 2002-2013.The research method was a kind of statistical descriptive analysis and multiple linear regression analysis. Moreover, theresearcher used partial test (T-test), simultaneous test (F-test), and coefficients determination test (R2) for the hypothesis.Whereas the assumption test was conducted in the use of normality, multicollinearity, heteroscedasticity, and autocorrelationtest. From the result of the data analysis, it confirmed that the population positively and significantly affected theunemployment rate in Jember. The variables of inflation, minimum wage, and human development index negatively andsignificantly affected the unemployment rate in Jember. Whereas the variables of economic growth positively and significantlyaffected unemployment rate in Jember. Finally, the result of the data analysis highlighted the variables of population,inflation, minimum wage,economic growth, and human development index that simultaneously and significantly affectedunemployment rate in Jember.

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