scholarly journals Influence of Physical and Social Factors of Livestock on Duck Farmers’ Income and Regional Development: A Case of Rokan Hulu Regency, Riau Indonesia

2019 ◽  
Vol 8 (2S9) ◽  
pp. 1021-1027
Keyword(s):  
Regional Development ◽  
Human Development ◽  
Unemployment Rate ◽  
Social Factors ◽  
Human Development Index ◽  
Livestock Production ◽  
Poor People ◽  
Social Planning ◽  
Development Index ◽  
Positive Effect

Livestock sector plays an important role for regional economy. Physical and social planning is one strategy to spur economic growth, so it must be well planned. The aims for this research were: 1) to study physical and social planning of duck farmers’ income; 2) to study development planning. The location of the research was determined purposively because the district was the center of duck farming in Riau. Sampling of 180 farmers was taken using Purposive Sampling. Physical factors consist of population and livestock production while livestock social factors consist of unemployment rate, population of poor people and Human Development Index (HDI). The positive influence of physical and social planning of livestock on the income of duck farmers and regional development was analyzed using path analisys. Based on the results of path analysis, 1. the planning of Human Development Index (HDI), population of poor people, unemployment rate, livestock production and total of duck population have a positive effect on the income of duck farmer 2. Farmer duck income, HDI, population of poor people, unemployment rate, duck production and rate of duck populations have a positive effect on the development of the area in Rokan Hulu. Based on the results of the research, it is recommended that the Rokan Hulu government makes efforts to empower duck farmers in order to increase duck farmer income, to improve the HDI, to reduce population of poor people and unemployed rate, to increase productivity of duck livestock, to absorb labor in the field of duck farming as one indicator of regional development and to make efforts to provide business capital for people's livestock in duck farming

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 human development index to the development of the province of west Sulawesi

2021 ◽  
Vol 921 (1) ◽  
pp. 012041
Author(s):  
M. H. Ansyar ◽  
R. Padjung ◽  
M. Salam
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regional Development ◽  
Human Development ◽  
Analytical Method ◽  
Human Development Index ◽  
Significant Positive Effect ◽  
Development Index ◽  
Spss Software ◽  
Positive Effect

Abstract Development success is measured by several parameters, one of which is the human development index. Humans have a role as a factor of production which is very important in the development of the region. This study aims to analyze which components make the human development index in the province of West Sulawesi low, and how the government’s strategies and priorities in improving HDI to support regional development and development. The analytical method used is multiple linear regression with SPSS software. The results of this study indicate that health and education have a significant positive effect on the development of the province of West Sulawesi while the economic component does not affect the human development index.

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 Determinan Ketimpangan Indeks Pembangunan Manusia di Provinsi Jambi

2020 ◽  
Vol 5 (2) ◽  
pp. 227
Author(s):  
Arniwita Arniwita ◽  
Deka Veronica ◽  
Ahmad Soleh
Keyword(s):  
Data Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Hypothesis Test ◽  
Well Being ◽  
Poor People ◽  
Analysis Tool ◽  
Economic Variables ◽  
Development Index ◽  
Dependent Variables

The Human Development Index (HDI) is an index to measure human achievement and is one of the indicators used in looking at people's well-being in a region. The higher the HDI value in a region, the better the level of welfare in the region. So often HDI is considered to have been able to represent the welfare level of the population, because in the HDI includes elements that include economic and noneconomic variables. Non-economic variables are measured from the level of public education and the degree of public health. While economic variables are measured from income levels indicating people's purchasing power, the three are related to each other. However, if you look at the conditions in Jambi Province, there is an interesting phenomenon where the development of the government does not or lack a real impact on the improvement of the Human Development Index (HDI), so it is necessary to do this research. The purpose of this study is to analyze the inequality, influence and relationship of the variables of the human development index which includes Gross Regional Domestic Product (GRDP) per capita, the number of medical personnel, the number of basic health facilities, the number of poor people as well as the number of teachers in public elementary schools as dependent variables with the human development index (HDI) as dependent variables. The data analysis method used in this study is a qualitative and qualitative descriptive method of explanatory properties, using sekuder data in the period 2008-2017. The data analysis tool used in this study uses the usual Weighted Coefficient of Variation (CVw) method for the first problem, the subsequent regression of the data panel for the second problem and the person correlation for the third problem. The hypothesis test in this study shows that there is inequality in IPM-forming variables in Jambi Province, further influence and significant relationship between ipm-forming variable inequality and HDI in Jambi Province.

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 YANG MEMPENGARUHI HUMAN DEVELOPMENT INDEX (HDI) PADA 6 DAERAH TERTINGGAL DI PULAU JAWA TAHUN 2010-2016

2017 ◽  
Vol 15 (2) ◽  
pp. 113
Author(s):  
Yunita Firdha Kyswantoro
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Human Development ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Poor People ◽  
Development Index ◽  
Per Capita ◽  
Force Variable

Disadvantaged areas are districts whose areas and communities are less developed when compared to other regions on a national scale. Java Island as the contribution of the highest economic growth in Indonesia in fact accounted for 6 of 122 disadvantaged areas in Indonesia, namely Kab. Bondowoso, Kab. Situbondo, Kab. Bangkalan, Kab.Sampang, Kab. Pandeglang, Kab. Lebak. One of the criteria of disadvantaged areas is human resources, this can be measured through HDI (Human Development Index). The number of poor people, labor force and GRDP per capita are some factors that are considered to illustrate the influence of HDI in 6 disadvantaged areas. This research used Random Effect Model (REM) panel data regression in 6 disadvantaged areas in Java Island 2010 - 2016. The result of this research, labor force variable has no significant effect to Human Development Index (HDI). While the number of poor and PDRB perkapita have a significant effect on HDI in 6 disadvantaged areas in Java. It is therefore an effective way to accelerate the growth of economic growth in underdeveloped areas related to HDI through the decline of the number of poor people with the creation of labor-intensive jobs which in turn will increase the per capita GDP. Thus, increasing GRDP per capita will increase Human Development Index (HDI) where HDI is one indicator in economic growth of a region.

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 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 Analysis of the Relationship between Human Development Index and Regional Development of West Sulawesi Province

2021 ◽  
Vol 2 (4) ◽  
pp. 31-38
Author(s):  
Muhammad Haekal Ansyar ◽  
Rusnadi Padjung ◽  
Muslim Salam
Keyword(s):  
Life Expectancy ◽  
Regional Development ◽  
Human Development ◽  
Human Development Index ◽  
Power Index ◽  
Regional Inequality ◽  
Purchasing Power ◽  
Development Index ◽  
The Relationship ◽  
Years Of Schooling

This study aims to analyze the relationship between the human development index and the regional development of West Sulawesi Province. This study uses panel data analysis that combines time series-cross section data and uses the Two Stage Least Square (2SLS) method. The type of data in this study is secondary data taken from the Central Statistics Agency (BPS) of West Sulawesi. The variables of the human development index are life expectancy, average length of schooling, expected length of schooling and purchasing power index. While the variables of regional development are poverty, unemployment, regional inequality and GRDP. The results of the analysis using the 2SLS method. In the HDI equation, the PW variable partially has a negative but not significant effect on the HDI for =5%. However, if for =20% PW has a negative and significant effect on HDI. While in the PW equation, the HDI variable partially has a negative but not significant effect on PW for = 5%. The R2 in the HDI equation is 97.5% and the remaining 2.5% which shows that the influence of PW, Life Expectancy, Average Years of Schooling, Expected Years of Schooling, and Purchasing Power Index together have an effect on HDI. While in the PW equation, the determination of R2 is 99.2% and the remaining 0.8% which shows HDI, Poverty Level, Unemployment Rate, Regional Inequality and Gross Regional Domestic Product together affect PW. So, there is a simultaneous relationship between the Human Development Index and Regional Development

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