scholarly journals PENGARUH VARIABEL EKONOMI MAKRO TERHADAP PENGANGGURAN TERDIDIKDI JAWA TIMUR TAHUN 2010-2014

2016 ◽  
Vol 14 (1) ◽  
pp. 71
Author(s):  
Nur Ravika Famala Sari
Keyword(s):  
Cross Section ◽  
Government Expenditure ◽  
Secondary Data ◽  
Minimum Wages ◽  
Least Square ◽  
Domestic Product ◽  
Model Estimation ◽  
Domestic Investment ◽  
Ordinary Least Square ◽  
Independent Variables

This study aims to determine the effect of Gross Regional Domestic Product, minimum wages district or city, investment, and government expenditure resources to the educated unemployment in East Java. This study uses secondary data for 5 years from 2010-2014. The method of data analysis used in this study is Ordinary Least Square (OLS). The data used in this study is data panel which combines time series and cross section. The results of this study show that partially variables of Gross Regional Domestic Product, minimum wages district or city, domestic investment, and government expenditure significant effect on Educated Unemployment in East Java, while foreign investment no significant effect on Educated Unemployment in East Java. Amount to 70,75% of the variation of independent variables in this study may explain the variable of educated unemployment in East Java, while the remaining 29,25% is influenced by other factor outside the model estimation.

scholarly journals Determinan dan Trend Kemiskinan di Kabupaten Wonosobo Provinsi Jawa Tengah

2020 ◽  
Vol 4 (1) ◽  
pp. 120
Author(s):  
Farida Nur Isnaini ◽  
Abdul Aziz Ahmad ◽  
Suharno Suharno
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Minimum Wages ◽  
Least Square ◽  
Domestic Product ◽  
Series Data ◽  
Ordinary Least Square ◽  
The Government ◽  
Observation Period

This study aims to analyze the effect of population, education, regional Minimum Wages, inflation, and Gross Regional Domestic Product on poverty and analyze poverty trends in Wonosobo Regency. This study uses secondary data in the form of time series data with an observation period of 2002-2017 and the research method is multiple linear regression with the Ordinary Least Square model. The analysis shows that education, regional minimum wages and gross regional domestic product have a negative and significant impact on poverty in Wonosobo Regency. Population growth, and inflation does not have a significant effect on poverty in Wonosobo Regency. In addition, the future poverty trend of Wonosobo Regency is negative. These findings imply the first need for skills and expertise training programs in improving the quality of education. Second, the government must increase regional minimum wages, so that people can meet their daily needs. The government needs to increase economic growth in all sectors of the economy by using its potential.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI PENYERAPAN TENAGA KERJA DI PROVINSI JAMBI

2018 ◽  
Vol 18 (1) ◽  
pp. 77
Author(s):  
Muhammad Syafri ◽  
Zulfanetti Zulfanetti
Keyword(s):  
Minimum Wage ◽  
Time Series Data ◽  
Government Expenditure ◽  
Secondary Data ◽  
Least Square ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
High Population Growth

Jambi Province is one of the areas in Indonesia with a relatively high population growth is inseparable from the problem of employment. Problems encountered include increased workforce higher than labor absorption. Efforts to increase labor absorption can not be separated from influencing factors such as GRDP, provincial minimum wage, government expenditure. This study aims to analyze the effect of GRDP, Province Minimum Wage, Government Expenditure on Employment Absorption in Jambi Province during the period of 1997-2015. This research is expected to be used as one of the benchmarks for government and private sector to better pay attention to the level of employment in Jambi Province. The type of research used is descriptive quantitative with used secondary data and analysis by time series data, from 1997 to 2015 and used the Ordinary Least Square (OLS) regression analysis with the help of EVIEWS 9.0 software. The result of this research shows that partially PDRB variable in PDRB has significant effect to the absorption of manpower in Jambi Province. While the variables of UMP and Government expenditure did not affect the absorption of manpower in Jambi Province period 1997 - 2015. The coefficient of determination (R2) showed that the independent variables studied were able to explain 91 percent of labor absorption and the remaining 9 percent was explained by other variables not studied.Keywords: Employment Absorption, GRDP, UMP and Government expenditure

scholarly journals The INFLUENCE OF PRODUCTION FACTORS TOWARD ECONOMIC GROWTH IN INDONESIA

2019 ◽  
Vol 4 (1) ◽  
pp. 44-46
Author(s):  
Wilson Bangun
Keyword(s):  
Economic Growth ◽  
Secondary Data ◽  
Least Square ◽  
Production Factor ◽  
Domestic Investment ◽  
Ordinary Least Square ◽  
Production Factors ◽  
The People ◽  
Data Production ◽  
Using Data

Economic growth as a mesurement and reflect of the people prosperity. Employee production factor have a better contribution if  to compare with capital and technology production factors on Indonesian economic growth. However, Indonesian workforce quality is lowest in ASEAN-5. The research methodology is using the Cobb-Douglas production function with the Ordinary Least Square (OLS), the using equation formulation: lnY = ln a + bi  +e. This research using data is secondary data: production factors using data of progressing of FDI and domestic investment, source of  the World Bank, 2004-2016; Employment is using data of progressing of Indonesia workforce,  sourced from the Biro Pusat Statistik Republik Indonesia, 2004-2016. The research results show that influence of the production factors toward Indonesia economic growth is strongly. This researchs aim to knowledge a large the contribution of production factors on Indonesian Economic growth.

scholarly journals Fraud Pentagon Model for Detecting Fraudulent Financial Reporting in Banking Sector

2020 ◽  
Vol 8 (6) ◽  
pp. 2832-2838
Keyword(s):  
Financial Reporting ◽  
Banking Sector ◽  
Influencing Factor ◽  
Secondary Data ◽  
Least Square ◽  
Fraudulent Financial Reporting ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Section Data ◽  
Recent Trends

Many discussions and opinions of experts who produce endangement or tools to detect the possibility of fraud in reporting financial performance. One of the most recent trends is the Pentagon fraud approach. Pentagon is a form that has five sides, there are five categories of causes of fraud in pentagon fraud, namely: pressure, opportunity, rationalization, competence and arrogance. Our research takes samples from banks, because the sector is the most common case of fraud. We made this quantitative secondary data-based research to have written evidence for reference in banking sectors. We use cross section data from 2016 year ends up to 2018. We own 35 samples from three years period, the total of 105 samples. We use ordinary least square using nine independent variables and one dependent variable. After conducting this research, we found that opportunity is the most influencing factor for company in banking sector to do fraud. While the others factor has no significant effect.

scholarly journals PENGARUH PRODUK DOMESTIK BRUTO DAN SBI TERHADAP PENERIMAAN PAJAK DI INDONESIA

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Rahmanta Ginting
Keyword(s):  
Time Series ◽  
Research Result ◽  
Least Square ◽  
Domestic Product ◽  
Tax Revenue ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Dependent Variables ◽  
Negative Effect ◽  
Positive Effect

The research to analyse effect net domestic product and SBI on tax revenue in Indonesia with independent variables  net domestic product and SBI also dependent variables tax revenue. Data is a time series between 1981 - 2010 with ordinary least square (OLS) and the model of formula used is multiply linier regression.  The research result shows that net domestic product gives a positive effect and significant on tax revenue in Indonesia on 99% level. While SBI has a negative effect and significant on tax revenue in Indonesia on 90% level.

scholarly journals Analisis Pengaruh Infrastruktur Listrik, Jalan Dan Kesehatan Terhadap Produk Domestik Regional Bruto Di Kabupaten Sidoarjo

2021 ◽  
Vol 12 (1) ◽  
pp. 54
Author(s):  
Yurike Aldona ◽  
Wiwin Priana Primandhana ◽  
Muhammad Wahed
Keyword(s):  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Economic Activities ◽  
Ordinary Least Square ◽  
Health Infrastructure ◽  
Analysis Technique ◽  
Efficiency And Effectiveness

Gross Regional Domestic Product (GDP) is one of the economic indicators according to various economic instruments in which clearly visible macro-economic conditions of a region. Infrastructure is the most primary public infrastructure in supporting a country's economic activities, and the availability of infrastructure greatly determines the level of efficiency and effectiveness of economic activities. This study aims to analyze how much electricity, road, and health infrastructure affects gross regional domestic product in Sidoarjo Regency. This research covers the area of Sidoarjo Regency. This study uses secondary data obtained from the Central Statistics Agency with a period of 15 years from 2005-2019. The analysis technique used is Multiple Linear Regression Analysis with Ordinary Least Square (OLS) model using computer tools SPSS program (Statistic Program For Social Science) Version 13.0 that shows the influence between free variables and bound variables. The end result is that electricity infrastructure variables have a positive and significant influence on gross regional domestic product in Sidoarjo Regency. Variable road infrastructure and health infrastructure have a positive but insignificant influence on gross regional domestic product in Sidoarjo Regency.

scholarly journals The Effect Of Credit To The Inflation Rate Through Gross Domestic Product In Indonesia

2018 ◽  
Vol 5 (2) ◽  
pp. 78
Author(s):  
Anas Iswanto Anwar ◽  
Ali Akbar
Keyword(s):  
Gross Domestic Product ◽  
Inflation Rate ◽  
Secondary Data ◽  
Least Square ◽  
Bank Credit ◽  
Domestic Product ◽  
Working Capital ◽  
Ordinary Least Square ◽  
Credit Channels ◽  
Transmission Of Monetary Policy

Credit markets are not always balanced because of unbalanced information and other causes. There are two credit channels that influence the transmission of monetary policy from finance to the real sector, namely bank credit channels that are more concerned with the behavior of banks that are more selective in credit selection because of asymmetric information.This study aims to determine the effect of credit that consists of investment credit, working capital credit and consumption credit to the inflation rate through Gross Domestic Product (GDP) in Indonesia. The overall data used in this study is secondary data from the result of systematic recording in the form of time series from 2007 to 2016 obtained from the Central Bureau of Statistics, Bank Indonesia Report and Indonesian Banking Statistics. Data were analyzed by using multiple regression with Ordinary Least Square (OLS) approach. Based on the results of the research, simultaneous credit has a positive and significant effect on inflation through GDP and partially found that investment credit and working capital credit have positive and significant effect to inflation through GDP, while consumption credit has positive and insignificant effect.

scholarly journals Agricultural Sub-Sectors Performance: An Analysis of Sector-Wise Share in Agriculture GDP of Pakistan

2016 ◽  
Vol 8 (2) ◽  
pp. 156 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Jiang Yuansheng ◽  
Habibullah Magsi
Keyword(s):  
Secondary Data ◽  
Least Square ◽  
Model Parameters ◽  
Ordinary Least Square ◽  
Empirical Results ◽  
Independent Variables ◽  
Minor Crops ◽  
The Government

This study focused on the agricultural sub-sectors performance: an analysis of sector-wise share in agriculture GDP in Pakistan by using secondary data from 1998 to 2015. Ordinary Least Square (OLS); an econometric method was applied to estimate the model parameters. For this purpose the study considered dependent variable of agriculture GDP and several independent variables were contain major, minor crops, livestock and forestry. The empirical results indicate that agricultural sub-sectors contribute positively and significantly in the agriculture GDP. However, forestry sub-sector had expected sign but the variable was not significant. In agriculture, forestry sub-sector share was considered very poor compared with other sub-sectors could be due to less attention paid from the government. The results suggest that the Government of Pakistan should make some intervention in the agricultural sub-sectors by introducing innovative agriculture technologies that could improve the sub-sectors share in the overall agriculture GDP.

scholarly journals PEMBIAYAAN PERTANIAN DAN UPAYA MENINGKATKAN KESEJAHTERAAN PETANI: ANALISA DATA MAKRO

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Feryanto Feryanto
Keyword(s):  
Multiple Regression ◽  
Analytical Methods ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Relative Increase ◽  
Least Square ◽  
Domestic Investment ◽  
Ordinary Least Square ◽  
Budget Increase

ABSTRAK Anggaran di sektor pertanian menunjukkan kenaikan yang relatif signifikan tahun 2004-2014, namun demikian peningkatan anggaran ini tidak diikuti dengan adanya perbaikan yang mendasar terhadap peningkatan kesejahteraan petani. Nilai Tukar Petani (NTP) sebagai indikator kesejahteraan petani menunjukkan bahwa kesejahteraan petani hanya berada pada kisaran 105. Oleh karena itu, penelitian ini bertujuan untuk menganalisis peranan dari pembiayaan di sektor pertanian terhadap kesejahteraan petani. Data yang digunakan ini adalah data sekunder periode tahun 2004-2014 (month to month) dan metode analisis menggunakan regresi berganda dengan pendekatan ordinary least square (OLS). Hasil penelitian ini menunjukkan bahwa pembiayaan pertanian memiliki peran untuk meningkatkan kesejahteraan petani, adapun komponen pembiayaan yang mempengaruhi kesejahteraan petani tersebut adalah kredit, subsidi pupuk, subsidi benih, dan PMA, sedangkan PMDN tidak berpengaruh signifikan. Kata kunci: Pembiayaan Pertaian, Kesejahteran Petani, NTP ABSTRACT Budget in the agricultural sector showed a significant relative increase in the period 2004-2014, however, the budget increase is not accompanied by an improvement in fundamental to improving the welfare of farmers. Term of trade of farmers (NTP) as an indicator of the welfare of farmers indicate that the welfare only in the range of 105. Therefore, the aimed of study to analyze the role of finance in the agricultural sector to the welfare of farmers. The data used are secondary data in the 2004-2014 periods (month to month), and analytical methods used are multiple regression with ordinary least square (OLS) approach. The results of this study indicate that agricultural financing has a role to improve the welfare of farmers, while the financial component that affects the welfare of farmers is a credit, fertilizer subsidies, seed subsidies, and FDI, whereas no significant effect on domestic investment. Keywords: Financing of Agriculture, Farmers Welfare, NTP 

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi PMDN di Jawa Tengah

2018 ◽  
Vol 6 (2) ◽  
pp. 165-169
Author(s):  
Ferdila Dedy Utomo
Keyword(s):  
Time Series ◽  
Interest Rate ◽  
Government Expenditure ◽  
Least Square ◽  
Test Statistics ◽  
Domestic Investment ◽  
Ordinary Least Square ◽  
Central Java ◽  
Negative Effect ◽  
Secondary Time

Penelitian ini bertujuan untuk : menganalisis pengaruh suku bunga kredit, pengeluaran pemerintah dan tenaga kerja terhadap Penanaman Modal Dalam Negeri (PMDN) di Jawa Tengah. Jenis penelitian ini adalah kuantitatif, data yang digunakan dalam penelitian ini adalah data sekunder runtut waktu (time series) dengan periode 28 tahun dimulai pada tahun 1988 sampai tahun 2015. Metode analisis yang digunakan adalah Ordinary Least Square (OLS). Pengujian menggunakan uji t-statistik dan uji F-statistik. Hasil penelitian ini menunjukkan bahwa variabel pengeluaran pemerintah berpengaruh negatif dan tidak signifikan terhadap PMDN. Variabel tenaga kerja berpengaruh positif dan signifikan terhadap PMDN. Sedangkan variabel suku bunga kredit berpengaruh negatif tetapi tidak signifikan terhadap PMDN. The objectives of this research are to analyze the effect of lending interest rate, government expenditure and labor on domestic investments in Central Java. This research is a quantitative study in which the data used as the reference is secondary time series based data with a period of 28 years from the beginning in 1988 until 2015. The analytical method applied is Ordinary Least Square (OLS) while the statistical assessment was using t-test and F-test statistics. Based on the results of data analysis, it is showed that the variable government expenditure has a negative and not significant effect on domestic investment. The variable labor growth has a positive and significant effect on domestic investment. The variable lending interest rate has negative effect but not significant on domestic investment.

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