Bi-response spline smoothing estimator for modelling the percentage of poor population and human development index in Papua Province

2021 ◽  
Author(s):  
Dyah Putri Rahmawati ◽  
I. Nyoman Budiantara ◽  
Dedy Dwi Prastyo ◽  
Made Ayu Dwi Octavanny
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Spline Smoothing ◽  
Development Index ◽  
Poor Population

scholarly journals ANALISIS PENGARUH INDEKS PEMBANGUNAN MANUSIA, PDRB PER KAPITA, DAN JUMLAH PENGANGGURAN TERHADAP JUMLAH PENDUDUK MISKIN DI PROVINSI JAMBI

2018 ◽  
Vol 2 (1) ◽  
pp. 165
Author(s):  
Yunie Rahayu
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Linear Regression Analysis ◽  
Geographic Location ◽  
Least Square ◽  
Gdp Per Capita ◽  
Development Index ◽  
The Poor ◽  
Per Capita ◽  
Poor Population

Poverty is a problem faced by all countries in the world, especially the developing countries, such as Indonesia. Poverty is a complex issue that is affected by a variety of interrelated factors, such as people's income levels, unemployment, health, education, access to goods and services, geographic location, gender, and location the environment. The number of poor population in Central Java is relatively lebihtinggi compared to laindi province of Indonesia, that is occupying ranked second in the number of poor population the largest in Indonesia after East Java. This research aims to analyze how and how much the variable influences the human development index, GDP per capita, and the number of poor population against unemployment in Jambi province in the year 2016. Methods of analysis in this study using multiple linear regression analysis with the method of Ordinary Least Square (OLS) that use data between spaces (cross section) district/town in Jambi province year 2016 with the help of software Eviews 4.1. The results of this research indicate that the variable is the human development index (HDI) a negative and significant effect against the poor population in the province of Jambi, the per capita GDP is negative and significant effect against the number of poor population in The province of Jambi, the unemployment and the number of positive and significant effect against the poor population in the province of Jambi.Keywords: population of the poor, the human development index (HDI), GDP per capita, and the number of Unemployed

scholarly journals DETERMINANT OF POVERTY LEVEL IN WEST KUTAI REGENCY

2012 ◽  
Vol 10 (1) ◽  
pp. 59
Author(s):  
Emanuel Akin
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Private Investment ◽  
Output Growth ◽  
Poverty Level ◽  
Development Index ◽  
Investment Growth ◽  
Poor Population ◽  
Dominant Influence

This research is Library Research by  using secondary data obtained and seeks to determine and analyze the factors that affect poverty in West Kutai regency, the analysis tool is use Path Analysis. Conclusion of the research results are as follows: (1) Economic Growth, Private Investment Growth (PMA), Labor, and the Growth of Government expenditure jointly direct and significant effect on the Human Development Index (HDI) in West Kutai regency, (2 ) Workforce dominant influence on the Human Development Index (HDI) in West Kutai regency, (3) Economic Growth, Private Investment Growth (PMA), Labor, and Output Growth Government jointly direct and significant effect on the amount of Poor Population in West Kutai regency, (4) Workforce dominant influence on the amount of Poor People in West Kutai regency, (5) Economic Growth, Private Investment Growth (PMA), Labor, and the Growth of Government influence indirectly through the Human Development Index (HDI) of the total poor population in West Kutai.

scholarly journals Determinant of Poverty Level in West Kutai Regency, Indonesia

2014 ◽  
Vol 15 (1) ◽  
pp. 55
Author(s):  
Emanuel Akin
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Private Investment ◽  
Output Growth ◽  
Poverty Level ◽  
Development Index ◽  
Investment Growth ◽  
Poor Population ◽  
Dominant Influence

This research is Library Research by using secondary data obtained and seeks to determine and analyze the factors that affect poverty in West Kutai regency, the analysis tool is use Path Analysis. Conclusion of the research results are as follows: (1) Economic Growth, Private Investment Growth (PMA), Labor, and the Growth of Government expenditure jointly direct and significant effect on the Human Development Index (HDI) in West Kutai regency, (2 ) Workforce dominant influence on the Human Development Index (HDI) in West Kutai regency, (3) Economic Growth, Private Investment Growth (PMA), Labor, and Output Growth Government jointly direct and significant effect on the amount of Poor Population in West Kutai regency, (4) Workforce dominant influence on the amount of Poor People in West Kutai regency, (5) Economic Growth, Private Investment Growth (PMA), Labor, and the Growth of Government influence indirectly through the Human Development Index (HDI) of the total poor population in West Kutai.

scholarly journals Faktor-Faktor yang Mempengaruhi Persentase Penduduk Miskin di Indonesia Tahun 2015-2018 Menggunakan Regresi Data Panel

2020 ◽  
Vol 2 (2) ◽  
pp. 55-63
Author(s):  
Ian Tryaldi Halim ◽  
Annisa Putri Ramadhanty ◽  
Dewi Retno Oscarini ◽  
Galang Madya Putra ◽  
Helen Fricylya Br Tobing ◽  
...  
Keyword(s):  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Poor People ◽  
Development Index ◽  
Effect Model ◽  
Poor Population

Indonesia as a country rich in natural resources has not been able to make it as a country that is free from poverty. The percentage of poor people in Indonesia is still high, is still less efficient, the government's policy in alleviating poverty. This can be seen from the increase in the human development index, gross domestic product and the number of health facilities that are not counted by reducing the percentage of the poor population. The purpose of this study is to describe the percentage of poor people in Indonesia and to analyze the factors that influence the percentage of poor people in Indonesia. This study uses panel data regression analysis using the Random Effect Model (REM) method. The results showed the regional gross domestic product and the level of openness significantly open to the percentage of Indonesia's poor population. While the human development index and the amount of health development are not significant to the percentage of poor people in Indonesia. From the results of this study, Indonesia can optimize employment opportunities that can be released so that it can improve the state of the country. This implementation is expected to increase the number of poor people in Indonesia which can be significant.

scholarly journals Pengaruh Tingkat Kemiskinan dan Jumlah Penduduk Terhadap Indeks Pembangunan Manusia (IPM) Kabupaten Batang Hari 2011 -2019

2020 ◽  
Vol 11 (1) ◽  
pp. 40
Author(s):  
Jasasila Jasasila
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Poverty Rate ◽  
Series Data ◽  
Poverty Level ◽  
Population Number ◽  
Development Index ◽  
The Poor ◽  
Poor Population

Human Development Index is used to measure how much impact arises from efforts to increase the ability of basic human capital. Human Development is a component of development through empowerment of the population that focuses on increasing the human base, judging from the population of Batang Hari Regency which is fluctuating and has the potential for human resources ready to be empowered. The implementation of regional autonomy gives flexibility to the Regional Government of Batang Hari Regency to carry out regional development more independently. Besides that what needs to be considered is the growth of the poor population, in Batanghari District the development of the poor population has also fluctuated, where in 2019 there was a decrease of 26.53% from the previous year. To measure poverty, BPS uses the concept of ability to meet basic needs approach. This is done in Batang Hari Regency, using data from 2011 - 2019. The type of data used in this study is Time Series data, which is the type of data consisting of variables collected according to the order of time within a certain timeframe, while the analytical methods used in This research is a quantitative method. Quantitative analysis is used to determine the Effect of Poverty Rate and Population Number on the human development index (HDI) in Batang Hari District 2011-2019. To analyze the influence of data analysis, this is done by using multiple linear regression models using Eviews program version 9.0. poverty level and Population simultaneously or together have a very significant effect on the Human Development Index in Batang Hari District 2011-2019. In this study the R2 value is 0.975311 which means a set of dependent variables (Poverty Rate and Population Number) in the model can explain the Independent variable by 97.53%. While the rest is explained by other variables outside the model that are not examined. Human Development Index (HDI) of Batang Hari 2011-2019 is 32.58 assuming other variables (Poverty Rate and Population Growth Rate are fixed or 0) From the equation it is known that poverty variable shows a coefficient of 0.03 meaning that if there is an increase in poverty level of 1 unit it will increase the HDI by 0.03% with the assumption that the Population Variable is 0. Whereas for the Total Population from the data processing, the result is 0.00013, meaning that every 1 person increase will increase the Human Development Index (HDI) by 0.00013%.

What Does Human Development Index Rating Mean in Terms of Individualism/Collectivism?

2003 ◽  
Vol 8 (2) ◽  
pp. 97-100 ◽  
Author(s):  
Maria José Sotelo ◽  
Luis Gimeno
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Principal Component ◽  
General Idea ◽  
Development Index ◽  
Low Levels ◽  
The Relationship

The authors explore an alternative way of analyzing the relationship between human development and individualism. The method is based on the first principal component of Hofstede's individualism index in the Human Development Index rating domain. Results suggest that the general idea that greater wealth brings more individualism is only true for countries with high levels of development, while for middle or low levels of development the inverse is true.

Capaian pembangunan manusia: analisis komparatif Provinsi Banten, Jawa Barat dan DKI Jakarta

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Adriwati Adriwati
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Human Population ◽  
Provincial Government ◽  
Healthy Life ◽  
Development Index ◽  
Long Life ◽  
The Difference ◽  
The Government ◽  
Development Paradigm

Human development is a development paradigm that puts human (population) as the focus and final target of all development activities, namely the achievement of control over resources (income to achieve decent living), improvement of health status (long life and healthy life) and improve education. To see the success rate of human development, UNDP publishes an indicator of Human Development Index (HDI). This study discusses the achievements of human development that have been pursued by the government. The problem analyzed in this research is the difference of human development achievement in some provincial government in Indonesia. This paper aims to compare the achievements of human development in some provincial governments seen from the achievement of human development index of each province. Research location in Banten Province, West Java and DKI Jakarta.Keywords:Human Development Index, Human Development Achievement

The comparison of MCDM Methods including AHP, TOPSIS and MAUT with an Application on Gender Inequality Index

2016 ◽  
Vol 4 (2) ◽  
pp. 183 ◽  
Author(s):  
Latife Sinem Sarul ◽  
Özge Eren
Keyword(s):  
European Union ◽  
Human Development ◽  
Gender Inequality ◽  
Human Development Index ◽  
The European Union ◽  
Inequality Index ◽  
Development Index ◽  
Important Barrier ◽  
Alternative Ranking

Gender Inequality Index is a major indicator presenting level of development of the countries as Human Development Index, which is calculated regularly every year by UN. In this study, an alternative calculation has been proposed for measuring gender inequality index which is an important barrier for the human development. Each indicator in the index integrated as MAUT- AHP and also AHP-TOPSIS and these methods carried out again for the alternative ranking member and candidate countries of the European Union. The main objective here is to represent that the indicators form gender inequality index can be reclassified with different weights for each indicator.

Asymmetric Policy of Border Area Development in Indonesia

2019 ◽  
Vol 118 (2) ◽  
pp. 81-85
Author(s):  
Rusdiyanta ◽  
M.Si¹ DanBambangPujiyono ◽  
MM ◽  
M.Si2
Keyword(s):  
Human Development ◽  
Social Services ◽  
Human Development Index ◽  
Development Policy ◽  
Innovative Development ◽  
Autonomous Region ◽  
Development Index ◽  
Left Behind ◽  
Border Areas ◽  
Area Development

The condition of the border areas in Indonesia is largely isolated, lagging, poor, and backward so as to require an affirmafive and innovative development policy. This study discusses the asymmetrical policy of Jokowi-JK government in the development of border areas in Indonesia. Most of the border areas are Underdeveloped Regions, so a symmetrical or special policy is required so that the development of border areas is not left behind with other regions or other countries. The implementation of the policy was carried out with the development of infrastructure and basic social services for the community as well as financial distribution, implementation of specific policies and arranging the formation of New Autonomous Region (DOB) in welfare-oriented border areas. This asymmetric policy encourages accelerated development in border areas so as to improve the human development index.

Sign in / Sign up

Export Citation Format

Share Document