scholarly journals Pemodelan Spatial Error Model (SEM) Untuk Mengidentifikasi Indeks Pembangunan Manusia di Provinsi Maluku Tahun 2016

2018 ◽  
Vol 8 (1) ◽  
pp. 75
Author(s):  
Fauzan Samallo ◽  
Yopi Andry Lesnussa ◽  
Abraham Z. Wattimena ◽  
Muhammad Yahya Matdoan
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Error Model ◽  
Parameter Estimates ◽  
Adjacent Area ◽  
Spatial Error Model ◽  
Spatial Error ◽  
Development Index ◽  
Life Expectancy At Birth ◽  
School Duration

Human Development Index (HDI) is a quality measure that can be used to determine the quality of human development that has been achieved. HDI is a composite index that composed of 3 components, such as: Length of life measured by life expectancy at birth, Education measured by average school duration and expectations school duration and standard of living measured by Purchasing Power Parity (PPP) in rupiah. The model used in this research is Spatial Error Model (SEM) to identify Influence of Variables X on IPM value and pattern of HDI distribution in a region with Ordinary Linear Square (OLS) parameter estimates. From the map thematic data that obtained, it can be seen that the pattern of the spread of Human Development Index (HDI) in Maluku Province has no effect on the distance of a region. There is a correlation between the components of HDI compilers to the HDI value in Maluku Province, because there is a spatial dependency on the dependent variable. Lambda value coefficient which is negative and significant at ? = 10% indicates that there is no correlation of HDI value in a region with other adjacent area. Also indicated by spatial residuals in adjacent areas do not have the same characteristics.

scholarly journals Modeling Spatial Error Model (SEM) On Human Development Index (IPM) In Central Java 2018

2020 ◽  
Vol 1 (2) ◽  
pp. 48
Author(s):  
Aprilia Dwi Anggara Wati ◽  
Laelatul Khikmah
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Spatial Regression ◽  
School Enrollment ◽  
Error Model ◽  
Spatial Error Model ◽  
Spatial Error ◽  
Development Index ◽  
Central Java ◽  
Life Expectancy At Birth

The Human Development Index (HDI) is a human development index that is used to achieve the development outcomes of a region. HDI is formed by 3 basic dimensions, namely the health dimension as seen from the indicator of life expectancy at birth, the dimension of knowledge seen from a combination of indicators of average length of schooling and expectation of school years and dimensions of decent living standards as seen from the indicator of average per capita expenditure has been adjusted. The development of HDI in Central Java shows an increase every year. In 2018 the HDI figure for Central Java Province reached 71.12% and increased by 0.6% from the previous year. This is because the large HDI figures in an area are influenced by the large HDI numbers in adjacent areas. The location / area factor is thought to have a spatial dependence effect on the HDI figure. This problem can be overcome by using spatial regression by including the relationship between regions into the model. The spatial regression approach used in this study is the Spatial Error Model (SEM). The weighting matrix used in this study is Queen Contiguity (intersection between sides and corners). This study provides results that the variables that significantly influence HDI are poverty and school enrollment rates.

scholarly journals ANALISIS DANA OTONOMI KHUSUS TERHADAP HUMAN DEVELOPMENT DAN PERTUMBUHAN EKONOMI DI KABUPATEN MERAUKE

2019 ◽  
Vol 1 (2) ◽  
pp. 113-118
Author(s):  
Yuan Williamson Tamberan ◽  
Romualdus Turu Putra Maro Djanggo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Data Collection ◽  
Human Development ◽  
Human Development Index ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Simultaneous Equation Model ◽  
Development Index ◽  
Model Approach

This research aims to determine the effect of allocation of special Autonomy Fund in Education, special autonomy Fund in health education and special autonomy fund in the field of infrastructure education to economic growth directly or indirectly through the human development index in Merauke Regency. The type of data used is data time series and data collection is done by the documentation method. Data was analyzed using the simultaneous equation model approach with the help of SPSS Amos 21 software. The results showed that the special Autonomy fund variable has been positively significant to the economic growth directly, indirectly through the human development Index of Special Autonomy Fund fields Education is not significant to economic growth. Health special Autonomy fund variables and special autonomy fund infrastructure areas are directly significant to economic growth. Meanwhile, indirectly through human development index a variable of special autonomy fund in Health and Special Autonomy fund areas of infrastructure are positively significant to the economic growth Key words: Special autonomy, human development index, economic growth

scholarly journals Modeling Human Development Index of Bali with Spatial Panel Data Regression

2019 ◽  
Vol 4 (5) ◽  
pp. 132-137
Author(s):  
Mita Lasdiyanti ◽  
Eka N. Kencana ◽  
Putu Suciptawati
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Panel Data Analysis ◽  
Spatial Error ◽  
Development Index ◽  
Spatial Panel ◽  
Panel Data Regression ◽  
Data Regression ◽  
Spatial Panel Data

Human development index (HDI) is an index that represents the successfulness of human development in a region. For Bali, one of 34 provinces in Indonesia, the progress of HDI in the period 2010–2017 showed an increasing trend. In the year 2010, the Bali’s HDI is accounted for 70.10, gradually increase to 74.30 in the year 2017. However, in 2017 there are some regions with their HDIs are below of Bali’s HDI, namely Jembrana, Buleleng, Klungkung, Bangli, and Karangasem. The aim of this work is to model the HDI of 9 regencies of Bali so that the main determinant to increase the HDIs especially for the regencies with lower HDIs could be determined. The model consists of one dependent variable (HDI) with three indicators as the independent ones, there are (a) life expectancy, (b) education, and (b) standard of living. By applying spatial panel data analysis, five models were built i.e. CEM, FEM (individual), FEM (time), REM, and spatial error FEM to determine the effect of each indicator. The result shows the best model is spatial error FEM in which education has the biggest influence compare than the others.

scholarly journals Human Capital Spillovers and Human Development Index in Yogyakarta Special Region and Central Java

2019 ◽  
Vol 5 (2) ◽  
pp. 57-64
Author(s):  
Joko Susanto ◽  
Didit Welly Udjianto
Keyword(s):  
Human Capital ◽  
Human Development ◽  
Human Development Index ◽  
Spatial Regression ◽  
Medical Personnel ◽  
Provincial Government ◽  
Spatial Error ◽  
Development Index ◽  
Central Java ◽  
Special Region

This study analyzes the spillover of human capital in the Yogyakarta Special Region and Central Java. The research data includes the Human Development Index (HDI), capital, the ratio of college graduate workers, and the number of medical personnel in 2017 published by the Central Bureau of Statistics (BPS). This study uses a Spatial Regression analysis that includes elements of human capital spillover estimated by Geoda software. The results showed that there was a spillover of human capital between regencies/cities in Yogyakarta Special Region and Central Java. Lambda coefficient value, in Spatial Error Model (SEM), amounting to 0.5074 indicates that the Human Development Index (HDI) score of each regency/city will get an influence of 0.5074 multiplied by the HDI value of the neighboring regency/city. The capital variable is significant and exhibits that a rise in the HDI score will follow an increase in the number of capital. However, the ratio of college-educated worker and medical personnel is not significant. Due to the linkages between these provinces, the regency government and the provincial government should synergize each other, especially in the formulation of economic policies.

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.

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