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 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 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 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 PENGARUH ANGKA HARAPAN LAMA SEKOLAH, RATA-RATA LAMA SEKOLAH, DAN PENGELUARAN PER KAPITA TERHADAP INDEKS PEMBANGUNAN MANUSIA DI PROVINSI JAWA TENGAH

2021 ◽  
Vol 3 (2) ◽  
pp. 126-140
Author(s):  
A. Jauhar Mahya
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Local Governments ◽  
Average Length ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Development Index ◽  
Capita Expenditure ◽  
Central Java ◽  
Per Capita

The Human Development Index (HDI) is one of the data and information used by local governments to measure the achievement of human development. HDI is formed by three basic dimensions, namely a long and healthy life, knowledge, and a decent standard of living. This study explain whether there is an influence and to obtain the magnitude of the influence of the expected number of years of schooling, the average length of schooling, and the per capita expenditure together on the Human Development Index in Central Java Province. This study was completed using multiple linear regression analysis with the help of SPSS 1.6 (Statistical Package for Social Sciences) software. The results of this study indicate that the expected length of schooling, average length of schooling, and per capita expenditure have a significant effect on the human development index, which is 97.8% and only 2.2% is influenced by other factors.

scholarly journals Pengaruh Alokasi Belanja Operasi dan Belanja Modal pada Indeks Pembangunan Manusia

2019 ◽  
pp. 1632 ◽  
Author(s):  
Ida Ayu Tari Purnama Sasti ◽  
Made Yenni Latrini
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Capital Expenditure ◽  
Linear Regression Analysis ◽  
Total Sample ◽  
Multiple Linear Regression Analysis ◽  
Development Index ◽  
Operating Expenditure ◽  
Analysis Technique ◽  
Saturated Sample

This study aims to obtain empirical evidence regarding the effect of operating expenditure and capital expenditure allocation on the human development index. This research was conducted in 9 regencies / cities in the province of Bali. The population in this study is the entire Report on Realization of Regional Revenues and Expenditures and the Human Development Index of all Regency / City of the Province of Bali in 2013-2017. The method of determining the sample used is a saturated sample, with a total sample of 45 observations. The data analysis technique used is multiple linear regression analysis. Based on the results of the study indicate that operating expenditure has an effect on the human development index and capital expenditure has no effect on the human development index. Keywords: Operating expenditure, capital expenditure, human development index

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 Analisis Pengaruh Sanitasi dan Akses Air Bersih Terhadap Indeks Pembangunan Manusia di Jawa Tengah

2021 ◽  
Vol 21 (1) ◽  
pp. 56
Author(s):  
Fita Purwaningsih ◽  
Suharno Suharno ◽  
Abdul Aziz Ahmad
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Poor People ◽  
Water Access ◽  
Development Index ◽  
Central Java ◽  
Access To Water ◽  
The Government ◽  
Central Java Province

Human Development Index (HDI) of Central Java Province in 2015-2018 is the lowest compared to other provinces in Java Island. This study aims to analyze the effect of sanitation, water access, poverty, population, and economic growth on Human Development Index in Central Java Province at 2015-2018. The method used in this research is multiple linear regression with a panel data approach. The results show that sanitation, population, and economic growth have a positive and significant effect on the Human Development Index in Central Java Province. Poverty ha\ve a negative and significant effect on the Human Development Index in Central Java Province. Meanwhile, access to water has no effect on the Human Development Index in Central Java Province. This finding implies the need for equitable sanitation development for the population in Central Java Province. In addition, the government needs to increase economic growth and reduce the number of poor people.

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 Pengaruh Investasi Pertambangan dan Tenaga Kerja terhadap Produk Domestik Regional Bruto serta Indeks Pembangunan Manusia di Kabupaten Kutai Barat

FORUM EKONOMI ◽  
2017 ◽  
Vol 19 (1) ◽  
pp. 92
Author(s):  
Yakin Masiku ◽  
Eny Rochaida ◽  
Adi Wijaya
Keyword(s):  
Path Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Secondary Data ◽  
Domestic Product ◽  
Regional Government ◽  
Domestic Investment ◽  
Development Index ◽  
Mining Investment ◽  
The Government

In accordance with the Regional Autonomy Policy, the Regional Government will not be able to perform its functions properly, effectively and efficiently without adequate funding support to provide services to the community and implement development programs. The financing of development in the area other than sourced from the government itself also exists that comes from the private sector through Domestic Investment with Mining Investment which is certainly enough to contribute in the formation of Gross Regional Domestic Product and Human Development Index in West Kutai Regency. So the role of mining investment is very large in order to support and optimize the success of development in the region. Therefore developing and optimizing Investment Cultivation becomes very important, in an effort to increase the growth of GDP and future HDI. The purpose of this study was to examine the influence of investment and labor on Gross Regional Domestic Product and Human Development Index in West Kutai District. Data used secondary data sourced from the Mining Service of West Kutai Regency and Central Bureau of Statistics Office of West Kutai Regency, Bappeda of West Kutai Regency and related Office.The method of  data collection with direct observation. Further data is processed and analyzed by Path Analysis (Path Analysis). The result of statistical test shows that partially Mining Investment has positive but not significant effect to PDRB and HDI, whereas the amount of Labor has positive and significant effect to the increasing of PDRB revenue in West Kutai Regency. While PDRB has a positive and significant impact on HDI in West Kutai Regency.Keywords: Human Development Index, Gross Regional DomesticProduct, Manpower, Mining Investment

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

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