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 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 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.

scholarly journals NON-HYBRID ENSEMBLE SPATIAL REGRESSION ON HUMAN DEVELOPMENT INDEX (IPM) in CENTRAL JAVA

2020 ◽  
Vol 1 (1) ◽  
pp. 23-34
Author(s):  
Evi Ardiati Sazaen
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Spatial Regression ◽  
Development Index ◽  
Central Java ◽  
A Value ◽  
Region Model ◽  
Spatial Method ◽  
Classical Linear Regression ◽  
Broad Dimension

The human development index (HDI) is a measure to see an increase in regional development that has a very broad dimension, because it increases the quality of the population of an area in terms of life expectancy, education, and decent standard of living. In 2010 the Central Java HDI increased by 66.08% and increased by 4.44%, with the total HDI in 2017 of 70.52 percent. Spatial regression is the development of classical linear regression involving the region model. Spatial regression ensemble is a technique to be sent spasi spatial regression models by adding noise (additive noise). The type of spatial weighting used is Queen Contiguity. The selection of the best model using AIC and RMSE values. The purpose of this study is to provide an assessment of the distribution of HDI data in the Province of Central Java in 2017 and to do modeling using non-hybrid spatial ensemble regression regression. The results of this study are the SAR spatial method with ensemble giving results with AIC value of 143 and RMSE value of 1.3899 with a value of  90.09%. Significant variables on HDI are population density (X1), poverty (X2), school participation rates (X5), and average per capita per month for food and non-food (X7).

scholarly journals PENERAPAN METODE DOUBLE EXPONENTIAL SMOOTHING UNTUK PERAMALAN TINGKAT INDEKS PEMBANGUNAN MANUSIA BERBASIS SISTEM INFORMASI GOEGRAFIS DI PROVINSI JAWA TENGAH

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Roni Yoga Irawan ◽  
Wawan Laksito Yuly Saptomo ◽  
Setiyowati Setiyowati
Keyword(s):  
Food Security ◽  
Human Development ◽  
Human Development Index ◽  
Health Indicators ◽  
Education Level ◽  
Development Index ◽  
Central Java ◽  
Double Exponential ◽  
Basic Goal ◽  
Double Exponential Smoothing

The basic goal in quality human development is to overcome problems in society are poverty, unemployment, illiteracy, food security and democracy enforcement. But in its achievements there are several aspects of development that failed. To measure the success of a region's performance in the field of human development can be done by calculating the Human Development Index. The Human Development Index is an index that includes three indicators, which are health indicators, education level, and economic indicators. The Province of Central Java is divided into 29 districts and 6 cities, so it has a varied picture of development. Provinsi Jawa Tengah belum memiliki media informasi peramalan yang berbasis peta untuk indeks pembangunan manusia. Dari permasalahan tersebut diperlukan metode untuk meramalkan Indeks Pembangunan Manusia yang berbasis sistem informasi geografis.Data indikator penyusun Indeks Pembangunan Manusia yang mengalami kenaikan pada periode-periode tertentu, dari pola data indikator penyusun Indeks Pembangunan Manusia merupakan pola data yang memiliki unsur trend. Maka pada penelitian ini menggunakan metode double exponential smoothing.The application forecasting the Human Development Index indicator is created using the PHP programming language and the MySQL Server database. Application of Human Development Index forecasting produces forecasting calculations with the value α = 0.9 produces forecasting the following year: 69.3612 with the smallest MSE error: 0.1578 and MAPE value: 0.4894. This study produces accurate forecasting because of low error values.

scholarly journals An Evaluation of Human Development Index in Central Asian Countries

2011 ◽  
Author(s):  
Volkan Öngel ◽  
İlyas Sözen ◽  
Ahmet Alkan Çelik
Keyword(s):  
Economic Development ◽  
Human Development ◽  
Gender Discrimination ◽  
Human Development Index ◽  
Asian Countries ◽  
Political Preference ◽  
Equal Distribution ◽  
Development Index ◽  
Life Expectancy At Birth ◽  
Economic Development And Growth

Economic development and growth had been the most important target among all goverments throughout the history. In this respect, Kazakhstan, Turkmenistan, Uzbekistan, Tajikistan and Kyrgyzstan in Middle Asian Region had chosen development as primary target in 20 years time after their independence. Human capital is the leading factor to maintain economic development and growth. Development and growth terms over which different meanings and concepts were imposed in time, necessitated several political economic alterations. Before 1970’s, increase in income had been sufficient criterion for the development of a government. But nowadays economic development incorporates factors such as life expectancy at birth, school enrolment ratio, literancy rate, gender discrimination, poverty alleviation, equal distribution of income beyond economic growth. Herewith this change political preference and priorities has started to differentiate. The aim of this study is to discuss human development index (HDI) data of 5 Middle Asian countries in 2010 and changes in HDI in years after their independence. Comparisan between Gross Domestic Product (GDP) and HDI rates are also performed within this analysis. This study consists of data of 5 Middle Asian countries between years 1990-2010. Basic, retrospective, illustrative library method is used as the study method. In conclusion, we find that increase in GDP did not reflect over HDI in Middle Asian Countries within 20-years period.

scholarly journals A MODIFIED HUMAN DEVELOPMENT INDEX, DEMOCRACY AND ECONOMIC GROWTH IN INDONESIA

2020 ◽  
Vol 8 (2) ◽  
pp. 732-743
Author(s):  
Erly Leiwakabessy ◽  
Amaluddin Amaluddin
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Composite Index ◽  
Private Investment ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Development Economic ◽  
Development Index ◽  
Central Java

Purpose of the study: Firstly, to construct a modified human development index by incorporating new dimensions (democracy and employment). Secondly, to measure and compare human development progress in Indonesian provinces. Thirdly, to examine the nexus between human development, economic growth, and democracy during the period 2010-2017. Methodology: Principle Component Analysis (PCA) method is employed to combining components into one index (composite index) which we call MHDI. The panel simultaneous equation model is applied to examine the nexus between human development, economic growth, and democracy. Main Findings: There were significant ranking differences between MHDI and HDI-UNDP in 24 provinces of 33 Indonesian provinces. The most significant ranking differences were found in several provinces, especially Maluku, West Java, Central Java, East Java, and Central Kalimantan. The study found a strong two-way relationship between human development and economic growth as well as between human development and democracy. Applications of this study: This study recommends that human development policies supported by rapid economic growth and democratic stability should be one of the development priorities through government spending and support from private investment (the private sector) which focuses on the development of education and health infrastructure throughout the Indonesian province. Novelty/Originality of this study: This study employs different methods for constructing a human development index by incorporating a new dimension (democracy and employment).

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.

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