scholarly journals Pengaruh Jumlah Penduduk, Indeks Pembangunan Manusia Dan Angkatan Kerja Terhadap Kemiskinan Di Provinsi Jambi

2020 ◽  
Vol 5 (2) ◽  
pp. 251
Author(s):  
Sudirman Sudirman ◽  
Sakinah Sakinah
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Human Development ◽  
Human Development Index ◽  
Quantitative Research ◽  
Time Series Data ◽  
Series Data ◽  
Analysis Tool ◽  
Development Index

This research is quantitative research that wants to see the influence of Population, Human Development Index and Labor Force on Poverty in Jambi Province. The data used is time series data in 2000 – 2019 while the analysis tool used is multiple linear regression using Eviews 8 as an analysis tool. In this study concluded that the number of productive populations, manusi development index and workforce is able to minimize poverty in Jambi Province.

scholarly journals THE INFLUENCE ANALYSIS OF HUMAN RESOURCES, CAPITAL INCOME, DEVELOPMENT EXPENDITURE BUDGET AND REAL GRDP ON HUMAN DEVELOPMENT INDEX IN MANDAILING NATAL REGENCY

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Hamonangan Nasution
Keyword(s):  
Time Series ◽  
Human Resources ◽  
Human Development ◽  
Structural Transformation ◽  
Human Development Index ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Development Index

Quality of Human Resources in developing countries and poor countries is a very serious issue to be addressed . When the quality of human resources do not keep pace with the progress of time involved will lead to underdevelopment , poverty and unemployment which in turn trigger the overflow gap , inequality and adversity . This study aims to look at and determine how much influence Number of Qualified Persons , Budget Development, Real Gross Domestic Product and Shopping Structural Transformation of the Human Development Index in Mandailing Natal Regency . Used in measuring and analyzing time series data       ( time series ) in the form of quarters in the period 2003 : Q1 - 2012 : Q4 . Data analysis using OLS ( Ordinary Least Square ) which is multiple regression . The results showed RHQ variable positive and significant effect on the HDI Mandailing Natal district , ABP variablespositive and significant effect on the HDI Mandailing Natal Regency ,any one significant negative effect on the HDI in Mandailing Natal Regency is Shopping Structural Transformation , while variable GRDPCP positive and significant impact on HDI of Mandailing Natal Regency. in α = 5%. The result of the regression model of HDI policy is R-squered=0,8967 whereas the presence of the model is R-squered BTS= 0,8907 in Mandailing Natal Regency, after the classic test. This means that in thebase stations are very well organized affect HDI, whereas if done deviation will adversely affect the HDI.

scholarly journals THE INFLUENCE ANALYSIS OF HUMAN RESOURCES, CAPITAL INCOME, DEVELOPMENT EXPENDITURE BUDGET AND REAL GRDP ON HUMAN DEVELOPMENT INDEX IN MANDAILING NATAL REGENCY

2021 ◽  
Vol 9 (2) ◽  
pp. 1
Author(s):  
Hamonangan Nasution ◽  
Eko Wahyu Nugrahadi
Keyword(s):  
Time Series ◽  
Human Resources ◽  
Human Development ◽  
Structural Transformation ◽  
Human Development Index ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Development Index

Quality of Human Resources in developing countries and poor countries is a very serious issue to be addressed . When the quality of human resources do not keep pace with the progress of time involved will lead to underdevelopment , poverty and unemployment which in turn trigger the overflow gap , inequality and adversity . This study aims to look at and determine how much influence Number of Qualified Persons , Budget Development, Real Gross Domestic Product and Shopping Structural Transformation of the Human Development Index in Mandailing Natal Regency . Used in measuring and analyzing time series data       ( time series ) in the form of quarters in the period 2003 : Q1 - 2012 : Q4 . Data analysis using OLS ( Ordinary Least Square ) which is multiple regression . The results showed RHQ variable positive and significant effect on the HDI Mandailing Natal district , ABP variablespositive and significant effect on the HDI Mandailing Natal Regency ,any one significant negative effect on the HDI in Mandailing Natal Regency is Shopping Structural Transformation , while variable GRDPCP positive and significant impact on HDI of Mandailing Natal Regency. in α = 5%. The result of the regression model of HDI policy is R-squered=0,8967 whereas the presence of the model is R-squered BTS= 0,8907 in Mandailing Natal Regency, after the classic test. This means that in thebase stations are very well organized affect HDI, whereas if done deviation will adversely affect the HDI.

scholarly journals THE EFFECT OF CAPITAL EXPENDITURE AND ECONOMIC GROWTH ON THE HUMAN DEVELOPMENT INDEX OF THE DISTRICT CITY IN NORTH SUMATERA

2020 ◽  
Vol 7 (1) ◽  
pp. 585-594
Author(s):  
Muammar Rinaldi ◽  
Zainal Arifin ◽  
Indra Maipita ◽  
Saidun Hutasuhut
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Numerical Data ◽  
Series Data ◽  
Development Index ◽  
Analysis Technique ◽  
North Sumatra

This study aims to analyze the effect of capital expenditure and economic growth simultaneously on the Human Development Index (HDI) in districts/cities in North Sumatra. This type of research is a descriptive-quantitative approach that suppresses its analysis of numerical data that is processed by the statistical method. Sources of data in this study were taken from the Central Bureau of Statistics of North Sumatra for the HDI data. The sample in this study is all districts/cities in North Sumatra for the period 2013-2017. The data analysis technique used in this study uses panel data regression with Eviews 7 because, in this study, there are characteristics of cross-section and time-series data simultaneously. The results of this study indicate that capital expenditure partially has a positive and significant effect on the Human Development Index in districts/cities in North Sumatra. Economic growth partially has a positive and significant effect on the HDI in districts/cities in North Sumatra, and capital expenditure and economic growth have a positive and significant effect simultaneously on the Human Development Index in districts/cities in North Sumatra.

scholarly journals Analysis of Factors Affecting the Human Development Index in West Kalimantan Province using Data Panel Data Regression

2018 ◽  
Vol 18 (2) ◽  
pp. 97-105
Author(s):  
Uray Hety Humaira ◽  
Jaka Nugraha
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
National Level ◽  
Fixed Effect Model ◽  
Paper Analysis ◽  
Series Data ◽  
West Kalimantan ◽  
Development Index ◽  
Capita Expenditure

Development in the country is growing including in the West Borneo Province. However in 2015, the achievement of human development at the National level is quite low, while the District and City varied considerably. Human Development Index is one of the parameter for human development that are affected by many factors. In this paper, analysis for identify the factors for human development index in West Kalimantan Province by using Regression Analysis was conducted. Regression was based on time series data from 2012 until 2015. It is found that Fixed Effect Model is the best regression model with the R2 of 0.99853%. The influencing variables are Life Expectancy (AHH), Adjusted Per Capita (Expenditure), School Average (RLS), School Expectation (HLS), and Gross Regional Domestic Product at Constant Price (GRDP).

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI IMPOR BERAS DI INDONESIA

2019 ◽  
Vol 11 (2) ◽  
pp. 183-201
Author(s):  
Yona Namira ◽  
Iskandar Andi Nuhung ◽  
Mudatsir Najamuddin
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Series Data ◽  
Test Results ◽  
The Us ◽  
Rice Prices ◽  
Us Dollar ◽  
Spss Software

This study aims to 1) identify factors that affect the import of rice in Indonesia 2) analyze the influence of these factors on imports of rice in Indonesia. The data used in this research are time series data from 1994 to 2013 from the Central Statistics Agency (BPS), the Ministry of Agriculture, Ministry of Commerce, National Logistics Agency (Bulog), and Bank Indonesia. Multiple linear regression through SPSS software version 21 was employed to analyze the data. The test results together indicated the variables of productions, consumptions, stocks of rice, domestic rice prices, international rice prices and the rupiah against the US dollar affect the imports of rice in Indonesia.

scholarly journals Pengaruh Industri Sedang dan Besar Terhadap Tingkat Kemiskinan di Kabupaten Gresik Tahun 2002-2016

2021 ◽  
Vol 4 (1) ◽  
pp. 25-31
Author(s):  
Rohmatul Janah ◽  
Ida Nuraini
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Industrial Sector ◽  
Poverty Rate ◽  
Domestic Product ◽  
Series Data ◽  
Insignificant Effect ◽  
Poverty Levels

This research is aimed at studying the influence of medium and large industries on poverty levels in Gresik on 2002-2016. The variables used in this study is medium and large industries, a labour of medium and large industries, gross regional domestic product (GRDP) of industrial sector and poverty rate. The method used in this study used multiple linear regression and used time-series data. The results of this study simultaneously are the variables of the amount of medium and large industries, the labour medium and large industries, and the gross regional domestic product (GRDP) of the industrial sector to poverty rate is significant. While medium and large industries to poverty rate have negative and insignificant effect with a coefficient value of -0,208905. The labour of medium and large industries to poverty rate has a positive and significant effect with a coefficient value of 0,130822,  the gross regional domestic product (GRDP) of industrial to poverty rate has a negative and significant effect with a coefficient value of -0,169431.

scholarly journals ANALISIS PENGARUH INFLASI, PRODUK DOMESTIK BRUTO (PDB), DAN NILAI TUKAR TERHADAP TABUNGAN MUDHARABAH PADA BANK UMUM SYARIAH (PERIODE 2013-2017)

2019 ◽  
Vol 8 (2) ◽  
pp. 138
Author(s):  
Rita Nur Wahyuningrum ◽  
Aan Zainul Anwar
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Linear Regression ◽  
Gross Domestic Product ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Domestic Product ◽  
Series Data ◽  
Islamic Banking ◽  
Central Statistics

<p>This study aims to analyze the effect of inflation, gross domestic product (GDP) and rupiah exchange rate on Mudharabah savings in Islamic banking in Indonesia. The data used is time series data for the period March 2013 to September 2017, which was published by Bank Indonesia from the Islamic Banking Statistics Report and the Central Statistics Agency. The technique of analyzing the research is qualitative with the method of Multiple Linear Regression. The results of this study indicate that simultaneously the Inflation, Gross Domestic Product (GDP) and Exchange Rate variables together have a significant effect on Mudharabah Savings. While partially only the Exchange Rate variable has a significant effect on Mudharabah Savings. Inflation Variables and Gross Domestic Product (GDP) have no significant effect on Mudharabah Savings.</p><p> </p><p>Keyword: inflation, gross domestic product, exchange rate, mudharabah saving</p>

scholarly journals Pengaruh Pertumbuhan Ekonomi, Tingkat Inflasi, dan Pertumbuhan Penduduk terhadap Tingkat Pengangguran Terbuka di Indonesia

2019 ◽  
Vol 18 (1) ◽  
pp. 52
Author(s):  
Irma Yuni Astuti ◽  
Nanik Istiyani ◽  
Lilis Yuliati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data

This study aims to determine the effect of economic growth, inflation and population growth in open unemployment rate in Indonesia. The type of data used in this study is secondary data in the form of time series data and variable data used are annual data in the period 1986-2017 with the object of research in the country o Indonesia. The data sources used in this study were obtained from the Central Statistics Agency (BPS) Indonesia and World Bank. The analytical method used in this study is multiple linear regression analysis with the Ordinary Least Square (OLS) technique. The estimation of time series data with multiple linear regression analysis shows that the economics growth variable has a positive and not significant effect on the level of open unemployment, the inflation variable has a positive and not significant effect on the level of open unemployment, and the population growth variable has a negative and significant effect on the level of open unemployment in Indonesia. Keywords: Open Unemployment, Economic Growth, Inflation, Population Growth

scholarly journals The Impact of Globalization on Human Development Index: A Case of Pakistan

2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Adiqa Kiani ◽  
Noor Mohammad ◽  
Raheem Bux Soomro
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Development Index ◽  
Long Run ◽  
Political Dimensions ◽  
The Impact ◽  
Adf Test

The main objective of the study is to explore the short and long run relationship of globalization and human development index for 34 years during 1980 to 2014. In order to analyze economic, social and political dimensions of globalization separately for Pakistan economy. The time series data compiled from various sources including UNDP annual Human Development Reports, SPDC Social Development report, Pakistan Review 2005-06, World Bank and KOF. A semi-log model was used to explain the relationship, whereas some other models were also used to test the mobility of the variables. The test applied is ADF test and on the basis of ADF test results, the ARDL method of co integration was used to test long run impact of all independent variables on human development index. From the findings, we may conclude that globalization overall and social, political and economic globalization have positive impact on human development index for Pakistan, whereas some control variables like population density effects positively, and greenhouse gas emissions significantly and negatively affect the globalization. It is suggested that in order to improve the globalization, it is mandatory to focus on indirect effects of globalization and make necessary plans to reduce such emissions.

scholarly journals PENGARUH PENGELUARAN PEMERINTAH SEKTOR PENDIDIKAN, KESEHATAN DAN TPAK TERHADAP IPM DI INDONESIA

2020 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Ulfa Maulina ◽  
Devi Andriyani
Keyword(s):  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Time Series Data ◽  
Government Expenditure ◽  
Health Sector ◽  
Education Sector ◽  
Series Data ◽  
Labor Participation ◽  
Development Index

This study aims to determine the effect of government spending of education sector, health and level of labor force participation on human development index in Indonesia. This study used time series data from 2005 to 2019. The method of data analysis uses multiple regression analysis. The results of partially show that government expenditure of education sector has a negative and significant effect on human development index in Indonesia, government spending of health sector has a positif and significant effect on human development index in Indonesia, and the level of labor participation has a positive but insignificant effect on human development index in Indonesia. Simultaneously, government spending of education sector, health, and level of labor participation have a positive and significant effect on the human development index in Indonesia.

Sign in / Sign up

Export Citation Format

Share Document