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 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.

scholarly journals HUMAN DEVELOPMENT INDEX, UNEMPLOYMENT AND POVERTY IN PAPUA PROVINCE, 2010-2015

2018 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Nurisqi Amalia ◽  
Anisa Nurpita ◽  
Rina Oktavia
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Poverty Rate ◽  
Research Data ◽  
Analysis Tool ◽  
Poverty Level ◽  
Development Index ◽  
Independent Variables

Papua Province is one of the poorest provinces in Indonesia. Some of the variables that affect health levels including Human Development Index (HDI) and unemployment rate. This research analyzes Human Development Index and unemployment rate to poverty level in districts/cities in Papua Province during 2010-2015. Research data used in this research is secondary data from Central Bureau of Statistics of district/city in Papua Province. The independent variables used are open unemployment rate and Development Index. While the dependent variable used is poverty level in districts/citis in Papua Province year 2010-2015. The analysis tool used is regression with panel data. The result of this research shows that the average of district/city’s poverty rate in Papua 2010-2015 is 32,34 percent. The highest level is in District Deiyai and the lowest is in District Merauke. The Human Development Index has decreased significantly to the poverty rate of district/city in Papua Province, while the open unemployment rate is positive to the poverty rate of district/city in Papua Province. Human Development Index and open unemployment rate as a whole and together affect poverty level in district/city in Papua Province.

scholarly journals Analisis Faktor-faktor yang Mempengaruhi Tingkat Pertumbuhan Ekonomi di Indonesia

2020 ◽  
Vol 2 (3) ◽  
pp. 169-176
Author(s):  
Puji Yuniarti ◽  
Wiwin Wianti ◽  
Nandang Estri Nurgaheni
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Participation Rate ◽  
Poverty Level ◽  
Development Index ◽  
Growth Methods

Purpose- This study aims to determine the factors of economic growth in 34 provinces in Indonesia. The variables used include labor force participation rate, human development index, Poverty Level, unemployment rate, income inequality, and economic growth. Methods- Secondary data from the Central Bureau of Statistics were processed using multiple linear regression. Findings- The study show that only force participation rate and unemployment rate were proven to significantly affect economic growth, while human development index, poverty level, and income inequality were not statistically significant. Implications- This study can provide important information on the factors shaping economic growth as a basis for future decision making. Abstrak Tujuan- Penelitian ini bertujuan untuk mengetahui faktor-faktor pertumbuhan ekonomi di 34 provinsi di Indonesia. Variabel yang digunakan antara lain tingkat partisipasi angkatan kerja, indeks pembangunan manusia, tingkat kemiskinan, tingkat pengangguran, ketimpangan pendapatan, dan pertumbuhan ekonomi. Metode- Data sekunder dari Badan Pusat Statistik diolah dengan menggunakan regresi linier berganda. Temuan- Studi tersebut menunjukkan bahwa hanya tingkat partisipasi angkatan dan tingkat pengangguran yang terbukti secara signifikan mempengaruhi pertumbuhan ekonomi, sedangkan indeks pembangunan manusia, tingkat kemiskinan, dan ketimpangan pendapatan tidak signifikan secara statistik. Implikasi- Studi ini dapat memberikan informasi penting tentang faktor-faktor yang membentuk pertumbuhan ekonomi sebagai dasar pengambilan keputusan di masa depan

scholarly journals Faktor yang Memengaruhi Kemiskinan di Provinsi Jawa Timur Tahun 2014

2018 ◽  
Vol 6 (2) ◽  
pp. 136
Author(s):  
Salihati Hanifa ◽  
Arief Wibowo
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Poor People ◽  
Development Index ◽  
Publication Data ◽  
The Government

Indonesia is one of the developing countries that still experience classic problems such as poverty. Poverty is a classic multidimensional problem, because it is caused by various factors such as Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI). This study aims to analyze determine the effect of Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI) on the percentage of poor people in East Java. This study uses unobtrusive method and uses secondary data in the form of publication data of Badan Pusat Statistik (BPS) of East Java Province. The unit of analysis in this study is 38 districts/cities in East Java. The dependent variable in this study is the percentage of poor people in East Java Province, while the independent variables are Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI). The result based on multiple linear regression analysis shows that the factors can influence the percentage of poor people are percentage of contraception’s user (p = 0.015) and HDI (p = 0.000). The government is expected to evaluate the programs that have been implemented and related to poverty alleviation.

scholarly journals ANALYSIS OF THE EFFECT OF GROSS REGIONAL DOMESTIC PRODUCT, NUMBER OF POPULATION, REGIONAL MINIMUM WAGE, OPEN UNEMPLOYMENT RATE, AND HUMAN DEVELOPMENT INDEX ON POVERTY IN 2010-2020 EAST JAVA PROVINCE

2021 ◽  
Vol 6 (2) ◽  
pp. 171
Author(s):  
Nur Ahmar Fajriah
Keyword(s):  
Human Development ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Economic Problem ◽  
Domestic Product ◽  
Absolute Poverty ◽  
Development Index

Poverty is an economic problem experienced by almost all regions in Indonesia, including East Java Province, where poverty in East Java is relatively high in 2016 East Java Absolute poverty of 4.78 million people. Therefore, it is necessary to find a solution to overcome the problem or reduce poverty. This study aims to analyze the effect of Gross Regional Domestic Product (GRDP), population, Regional Minimum Wage (UMR), open unemployment rate and Human Development Index (IPM) on poverty in East Java Province in 2010-2020. This research uses panel data method with fixed effect model approach, and the data used is secondary data. Adjusted R2 value is quite high. then the results of this study are the variables of GRDP, population, open unemployment rate and HDI have a significant effect on poverty, while the UMR variable has no significant effect on poverty. Therefore, the development of GRDP, population, open unemployment rate should be considered to overcome the problem of poverty.Keywords: Gross Regional Domestic Product, population, Regional Minimum Wage, open unemployment rate, Human Development Index.JEL: P24, J11, J31, J64, O15

scholarly journals Analisis Situasi Pembangunan Manusia di Jawa Tengah

2020 ◽  
Vol 3 (1) ◽  
pp. 12
Author(s):  
Laeli Sugiyono
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Secondary Data ◽  
Cross Sectional ◽  
Development Index ◽  
Central Java ◽  
Cartesian Diagram

<p>This study aims to analyze the disclosure distribution of the position regency/city in Central Java based on the linkage of Economic Growth (EG) and Human Development Index (HDI). The study uses secondary data in the form of cross-sectional regional regency/city based on EG and HDI components. Data analysis uses regency/city distribution plot diagram based on EG and HDI components in the Cartesian diagram which divides the space into 4 Quadrants, namely: Quadrant I of the regency/city distribution plots with high EG and HDI, Quadrant II of the regency/city distribution plots with low EG and high HDI, Quadrant III of the regency/city distribution plots with high EG and low HDI, and Quadrant IV of the regency/city distribution plots with low EG and HDI. This study concludes that the position of cities in Central Java in general is in line with the Quadrant I group, the HDI of regency/city in the area of the ex-Semarang and ex-Surakarta residency is in Quadrant I. Other regencies/cities are spread in Quadrant II, III, and IV.</p><p><strong>Keywords</strong><strong> : </strong>human development index, economic growth, Central Java, distribution plot</p><p> </p>

scholarly journals Social and Economic Factors Determining the Unemployment Rate in the Bregasmalang Region 2010-2020

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Rima Eka Kurnia ◽  
Yustirania Septiani
Keyword(s):  
Human Development ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Domestic Product ◽  
Economic Factors ◽  
Development Index ◽  
The Government

The research objective was to analyze the social and economic factors that affect unemployment in the development area of Central Java, namely in Brebes Regency, Tegal City, Tegal Regency, and Pemalang Regency (BREGASMALANG) in 2010-2020. The determinants of unemployment used in this study include the human development index, district/city minimum wage, and gross regional domestic product. The data used in this study are secondary data obtained from the Central Statistics Agency (BPS). The research method used in Panel Data Regression Analysis with Fixed Effect Model (FEM). The result of this study indicates that the human development index & district/city minimum wage it means that it has no significant effect on the open unemployment rate in Bregasmalang. Meanwhile, the gross regional domestic product has a negative and significant effect on the open unemployment rate in Bregasmalang. With the influence of regional gross domestic product on the open unemployment rate, therefore the government is expected to be able to maximize the sub-sectors contained in the GRDP so that the sub-sector is able to increase employment so that it can suppress the high unemployment rate in the Regency/City concerned, namely the Brebes Regency, Tegal City, Tegal Regency, and Pemalang Regency.Keywords: Open Unemployment Rate, HDI, District/City Minimum Wages, and GRDP

scholarly journals Faktor-Faktor yang Mempengaruhi Kemiskinan di 9 (Sembilan) Kota di Provinsi Jawa Timur

2020 ◽  
Vol 5 (1) ◽  
pp. 1-9
Author(s):  
Renta Yustie
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Dependency Ratio ◽  
Development Index

This research aims to analyze effect from human development index (HDI), dependency ratio, open unemployment rate to poverty is partially and simultaneously. Data used in research is secondary data are poverty, human development index (HDI), dependency ratio, open unemployment rate overall in percentage (%)., with used analyze of multiple linier regression methode. This result is human development index (HDI), dependency ratio, open unemployment rate have a effect to partially and simultaneously to poverty.

scholarly journals Effect Of Human Development Index Fund on Economic Growth Through A Special Autonomy

2017 ◽  
Vol 18 (1) ◽  
pp. 50
Author(s):  
Irham Iskandar
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Panel Data Analysis ◽  
Research Development ◽  
Development Index ◽  
Is Research ◽  
Negative Effect

This study aims to determine the human development index on economic growth through the provision of special autonomy. The method used is research development with panel data analysis in 23 districts / cities. The results showed that the moderation between the human development index through special autonomy fund a significant negative effect on economic growth. It indicates the use of special autonomy funds for the human development index is still up, so the future is expected to need to be allocated according to the needs in the region, so that the special autonomy funds can effectively and efficiently.

scholarly journals Pengaruh Kemiskinan, Tingkat Pengangguran, Pertumbuhan Ekonomi dan Pengeluaran Pemerintah Terhadap Indeks Pembangunan Manusia (IPM) di Indonesia Tahun 2014-2018 dalam Perspektif Islam

2020 ◽  
Vol 6 (2) ◽  
pp. 212
Author(s):  
Jahtu Widya Ningrum ◽  
Aziza Hanifa Khairunnisa ◽  
Nurul Huda
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Descriptive Analysis ◽  
Government Expenditure ◽  
Secondary Data ◽  
Development Index ◽  
Panel Data Regression ◽  
Pool Model

This study aims to determine the effect of poverty, unemployment, economic growth and government spending on the Human Development Index (HDI) in Indonesia in 2014-2018 in an Islamic perspective. Data processing in this study uses descriptive analysis and panel data regression analysis with a pool model approach using Eviews 9 software using secondary data obtained from data that has been published in several sources, Badan Pusat Statistika and the Kementrian Keuangan website for the period of 2014 to 2018. The results of this study indicate that partially the poverty variable and the unemployment rate have a significant effect on HDI which is indicated by a probability value smaller than alpha (0.05), while the economic growth and government expenditure variables have no significant effect on the HDI indicated by the probability value of more greater than the alpha value (0.05). Simultaneously all the research variables have a significant effect on HDI and have an effect that is shown through R2 of 80.78% indicating that the variables of poverty, unemployment rate, economic growth, government expenditure can explain the Y variable, the remaining 19.22% is explained by other variables outside the research variable. Keyword: poverty, unemployment rate, economic growth, and Human Development Index. Penelitian ini bertujun untuk mengetahui pengaruh kemisikinan, tingkat pengangguran, pertumbuhan ekonomi dan pengeluaran pemertintah terhadap Indeks Pembangunan Manusia (IPM) di Indonseia tahun 2014-2018 dalam perspektif islam. Pengolahan data pada penelitian ini menggunakan analisis deskriptif dan analisis regresi data panel dengan pendekatan pool model menggunakan software Eviews 9 dengan menggunakan data sekunder yang diperoleh dari data yang telah di publikasikan pada beberapa sumber yaitu Badan Pusat Statistik dan website Kementerian Keuangan dengan periode waktu tahun 2014 sampai 2018. Hasil penelitian ini menunjukan bahwa secara parsial variabel kemiskinan dan tingkat pengangguran berpengaruh signifikan terhadap IPM yang ditunjukan dengan nilai probabilitas lebih kecil dari nilai alpha (0.05), sedangkan variabel pertumbuhan ekonomi dan pengeluaran pemerintah berpengaruh tidak signifikan terhadap IPM yang ditunjukan dengan nilai probabilitas lebih besar dari nilai alpa (0.05). Secara simultan seluruh variabel penelitian berpengaruh signifkan terhadap IPM dan mempunyai pengaruh yang di tunjukan melalui R2 sebesar 80.78% menunjukan bahwa variabel kemiskinan, tingkat pengangguran, pertumbuhan ekonomi, pengeluaran pemerintah dapat menjelaskan variabel Y, sisanya 19.22 % dijelaskan oleh variabel lain di luar variabel penelitian. Keyword : kemiskinan, tingkat pengangguran, pertumbuhan ekonomi, dan Indeks Pembangunan Manusia.

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