ANALISA PEMBANGUNAN MANUSIA DAN PENGARUHNYA TERHADAP KESEJAHTERAAN MASYARAKAT DI PROVINSI PAPUA

Human development in Papua is still a central issue and is a concern of the government at the national and regional levels. If human development is in its actual position, it will have an impact on the welfare of its people. Human development uses the HDI indicator (Human Development Index) while the welfare of the community uses indicators of income per capita and poverty. Some of the objectives to be achieved from this study include to analyze: (1.) the correlation of the forming components with HDI; (2.) what components form the largest HDI; and (3.) the effect of HDI on income per capita, and poverty. This study uses secondary data with the analysis period 2010 - 2018. Data analysis was performed using correlation and regression analysis techniques. The analysis shows that: (1) All components of HDI are positively and significantly related to HDI. The AHH component has a strong relationship, while the other components are very strong. The HLS and RLS components (education index) have the greatest magnitude of the correlation coefficient so they form the dominant HDI compared to AHH and Per capita Expenditures. (2) HDI has a positive and significant effect on per capita income in Papua Province. (3). HDI has a negative and significant effect on poverty levels in Papua Province.

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

ECOPLAN : JOURNAL OF ECONOMICS AND DEVELOPMENT STUDIES ◽

10.20527/ecoplan.v2i2.68 ◽

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

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

FORUM EKONOMI ◽

10.29264/jfor.v19i1.2116 ◽

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

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Faktor yang Memengaruhi Kemiskinan di Provinsi Jawa Timur Tahun 2014

Jurnal Biometrika dan Kependudukan ◽

10.20473/jbk.v6i2.2017.136-143 ◽

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.

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

EKO-REGIONAL JURNAL PENGEMBANGAN EKONOMI WILAYAH ◽

10.20884/1.erjpe.2021.16.1.1800 ◽

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

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PENGARUH ECONOMIC FREEDOM DAN PENDAPATAN PER KAPITA TERHADAP INDEKS PEMBANGUNAN MANUSIA

Media Ekonomi ◽

10.25105/me.v22i2.3173 ◽

2014 ◽

Vol 22 (2) ◽

pp. 171

Author(s):

Agustina Suparyati

Keyword(s):

Human Development ◽

Human Development Index ◽

Economic Freedom ◽

Local Development ◽

National Income ◽

Analysis Method ◽

Income Per Capita ◽

Per Capita ◽

Development Group ◽

Very High

This study aims to determine the effect of economic freedom and national income per capita of the human development index. Countries will be classified into 4 groups according to the classification in the HDI are very high human development (with an HDI of 0788 or above), high human development (with an HDI of 0677 to 0.784), medium human development (HDI of 0488-0669), and low human development (HDI of less than 0488). The analysis method used in this study is a model of data panel to investigate the influence of Economic Freedom and Income per capita of the HDI. The results showed that for the group of countries very high human local development per capita income is only significant effect on the HDI, for the group of countries High human development and medium human development only economic freedom that affects the HDI, while the low human development group showed that income per capita and Economic Freedom does not affect the HDI.

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Determinants of poverty rate in Java Island: Poverty alleviation policy

Jurnal Ekonomi Pembangunan ◽

10.29259/jep.v18i2.11664 ◽

2020 ◽

Vol 18 (2) ◽

pp. 95-104

Author(s):

Imade Yoga Prasada ◽

Tri Fatma Mala Yulhar ◽

Tia Alfina Rosa

Keyword(s):

Human Development ◽

Human Development Index ◽

Secondary Data ◽

Poverty Rate ◽

Poor People ◽

Policy Recommendations ◽

Rate Data ◽

Poverty Level ◽

Development Index ◽

Poverty Levels

Poverty is currently a major problem that must be resolved in various regions in Indonesia, including areas in Java. Java Island is the island with the highest number of poor people compared to other islands in Indonesia. The aim of this study was to determine the determinants of poverty levels in Java and formulate policy recommendations that can be implied to overcome poverty. Research variables have used secondary data from six provinces in Java sourced from the Central Statistics Agency, namely poverty level data, Human Development Index (HDI), inflation rate data, open unemployment rate data, and Regional Minimum Wage data (UMR). The data was compiled into panel data and analyzed using OLS Model. The analysis showed that the determinants of poverty levels in Java were inflation rates, Human Development Index, Regional Minimum Wages, and open unemployment rates, so that all determinants need to be considered properly to formulate policy recommendations that able to overcome poverty in Java.

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PENGARUH ECONOMIC FREEDOM DAN PENDAPATAN PER KAPITA TERHADAP INDEKS PEMBANGUNAN MANUSIA

Media Ekonomi ◽

10.25105/me.v22i2.2968 ◽

2018 ◽

Vol 22 (2) ◽

pp. 181

Author(s):

Agustina Suparyati

Keyword(s):

Human Development ◽

Human Development Index ◽

Capita Income ◽

Economic Freedom ◽

Local Development ◽

National Income ◽

Income Per Capita ◽

Per Capita ◽

Development Group ◽

Very High

This study aims to determine the effect of economic freedom and national income per capita of the human development index. Countries will be classified into 4 groups according to the classification in the HDI are very high human development (with an HDI of 0788 or above), high human development (with an HDI of 0677 to 0.784), medium human development (HDI of 0488-0669), and low human development (HDI of less than 0488). The analysis method used in this study is a model of data panel to investigate the influence of Economic Freedom and Income per capita of the HDI. The results showed that for the group of countries very high human local development per capita income is only significant effect on the HDI, for the group of countries High human development and medium human development only economic freedom that affects the HDI, while the low human development group showed that income per capita and Economic Freedom does not affect the HDI.

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ANALISIS DAMPAK KEBIJAKAN ALOKASI DANA OTONOMI KHUSUS BIDANG PENDIDIKAN DAN KESEHATAN TERHADAP INDEKS PEMBANGUNAN MANUSIA DI PROVINSI PAPUA

Journal Publicuho ◽

10.35817/jpu.v3i1.11392 ◽

2020 ◽

Vol 3 (1) ◽

pp. 1 ◽

Cited By ~ 1

Author(s):

Virgie Delawillia Kharisma ◽

Palupi Lindiasari Samputra ◽

Payiz Zawahir Muntaha

Keyword(s):

Human Development ◽

Human Development Index ◽

Poverty Level ◽

Development Index ◽

Education And Health ◽

Panel Data Regression ◽

Data Regression ◽

Per Capita ◽

The Government ◽

The Impact

This study aims to assess the impact of the Special Autonomy Fund in Papua Province on the Human Development Index measured through the allocation of the Special Autonomy Fund in education and health. The government is trying to accelerate the development of Papua, one of which is through the Special Autonomy Fund. This study uses a quantitative approach with panel data regression, covering: 2014-2017 data in 29 districts/cities in Papua Province, each variable, namely: HDI, GRDP per Capita, Allocation of Special Autonomy Funds in Education, Allocation of Special Autonomy Funds in Health and poverty level. The results of the study concluded that the Special Autonomy Fund did not have a significant effect on increasing the Human Development Index in Papua Province in 2014-2017. Strategic efforts in development in Papua are needed not only through the distribution of the Special Autonomy Fund, but also the enhancement of the capacity of the apparatus, evaluation of the method of channelling and utilizing the Special Autonomy Fund, and other policies with a local wisdom approach.

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PEMODELAN DETERMINASI INDEKS PEMBANGUNAN MANUSIA DENGAN METODE MWD (MACKINNON, WHITE AND DAVIDSON) TEST

Ekonomi dan Bisnis ◽

10.35590/jeb.v8i2.3371 ◽

2021 ◽

Vol 8 (2) ◽

pp. 142

Author(s):

Apriani Simatupang ◽

Jakaria Jakaria

Keyword(s):

Human Development ◽

Unemployment Rate ◽

Government Spending ◽

Human Development Index ◽

Test Method ◽

Linear Regression Equation ◽

Development Index ◽

Income Per Capita ◽

Per Capita

Abstrak Tujuan paper ini ingin menunjukkan pemodelan determinasi indeks pembangunan manusia dengan menggunakan MWD test. Pada penelitian ini menggunakan komponen tingkat pengangguran, pendapatan per kapita dan pengeluaran pemerintah. Dalam penelitian ini menggunakan metode MWD atau uji Mackinnon, White and Davidson (MWD) untuk menentukan pemodelan determinasi indeks pembangunan manusia. Hasil penelitian ini menunjukkan bahwa pendapata per kapita mempengaruhi indeks pembangunan manusia secara signifikan. Hal ini ditunjukkan hasil dari estimasi output persamaan regresi linier yang sudah dibersihkan dari masalah autokorelasi dan heteroskedastisitas bahwa probabilitas pendapatan perkapita < 0,05. Tingkat pengangguran dan pengeluaran pemerintah tidak memiliki pengaruh yang signifikan terhadap indeks pembangunan manusia. Pemodelan terbaik yang digunakan dari metode MWD (Mackinnin, White and Davidson) test adalah model linier. Kata Kunci: ipm, pendapatan per kapita, MWD test. Abstract The purpose of this paper is to show the modeling of the determination of the human development index using the MWD test. This study uses the components of the unemployment rate, per capita income and government. In this study using the MWD method or the Mackinnon, White and Davidson (MWD) test to determine the modeling of the determination of the human development index. The results of this study indicate that income per capita affects the human development index significantly. This is indicated by the results of the estimated output of the linear regression equation that has been cleaned of autocorrelation and heteroscedasticity problems that the probability of income per capita is < 0.05. The unemployment rate and government spending do not have a significant effect on the human development index. The best modeling used from the MWD (Mackinnin, White and Davidson) test method is a linear model. Keywords: HDI, income per capita, MWD test.

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Pengaruh Faktor Pendidikan, Konsumsi Protein, Konsumsi Kalori, dan Upah terhadap Indeks Pembangunan Manusia Bangsa Indonesia

Sosio e-kons ◽

10.30998/sosioekons.v9i1.1685 ◽

2017 ◽

Vol 9 (1) ◽

pp. 25

Author(s):

Kiki Ismanti

Keyword(s):

Human Development ◽

Human Development Index ◽

Secondary Data ◽

Survey Method ◽

Correlation Technique ◽

Development Index ◽

Calorie Consumption ◽

Protein Consumption ◽

The Government ◽

The Relationship

ABSTRACT This study is aimed to examine the effect of the relationship between education, protein consumption, calorie consumption, wages rate or income and human development index of Indonesia. The study uses data on the Human Development Index of Indonesia of 1994-2013. The object of this research is the discussion on the effect of the relationship of variables of education, protein consumption, calorie consumption, wages rate or income and the human development index. The researcher uses the survey method with the correlation technique as a method of sampling. In the data collection process, the researcher uses secondary data of 1994-2013, which are obtained from BPS-Statistics Indonesia by using documentation technique. The calculation result of final equation of estimation is ? = 45,992 + 0,215 X1 + -0,264 X2 + 4,156 X3 + 0,321 X4. The determinant coefficient is 98.9 percent, and the remaining 1.1 percent is affected by other variables. It means that the contribution of variables of education, protein consumption, calorie consumption, and wages rate or income on the human development index is 98.9 percent, and the remaining 1.1 percent is contributed from other independent variables outside of the research model. Based on the results of research, the minimum regression coefficient on the Human Development Index is a variable of protein consumption, which is only -0.264. Therefore, the Government of Indonesia is expected to formulate the policy that allows high accessibility of notorious foods, which contains adequate protein and calories for Indonesian people. Keywords: Education Factors, Nutrition, Calorie Consumption, Level of Wages, and Index of Quality of Life (IMH/HDI).ABSTRAKTujuan dalam penelitian ini adalah untuk mengetahui pengaruh hubungan antara pendidikan, konsumsi protein, konsumsi kalori, dan upah dengan indeks pembangunan manusia Indonesia. penelitian ini menggunakan data tentang Indeks Pembangunan Manusia Bangsa Indonesia dari tahun 1994-2013. Objek penelitian ini adalah pembahasan tentang pengaruh hubungan variabel pendidikan, konsumsi protein, konsumsi kalori, dan upah dengan indeks pembangunan manusia. Penarikan sampel dilakukan dengan menggunakan metode survei dengan teknik korelasional. Untuk mendapatkan data peneliti menggunakan data skunder tahun 1994-2013, nilai yang diambil dari Biro Pusat Statistik dengan menggunakan teknik dokumentasi. Hasil perhitungan persamaan akhir estimasi yaitu ?= 45,992 + 0,215 X1 + -0,264 X2 + 4,156 X3+ 0,321 X4. Koefisien desterminan sebesar 98,9 persen sisanya 1,1 persen karena pengaruh variabel lain. Ini artinya sumbangan variabel pendidikan, konsumsi protein, konsumsi kalori, dan upah terhadap peningkatan indeks pembangunan manusia sebesar 98,9 persen dan sisanya 1,1 persen dari variabel bebas lainnya diluar model penelitian. Dari hasil penelitian diperoleh koefisien regresi yang paling kecil terhadap Indeks Pembangunan Manusia adalah variabel konsumsi protein sebesar -0,264. Maka dari itu diharapkan kepada Pemerintah Indonesia harus membuat kebijakan yang dapat memberikan hak yang layak bagi rakyat Indonesia agar dapat menikmati pangan yang bergizi seperti protein dan kalori.Kata kunci: Faktor Pendidikan, Gizi, Konsumsi Kalori, Upah, dan Index Mutu Hidup (IMH/HDI)

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