Geographically Weighted Logistic Regression (GWLR) with Adaptive Gaussian Weighting Function in Human Development Index (HDI) in The Province of Central Java

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.

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

Humanities & Social Sciences Reviews ◽

10.18510/hssr.2020.8282 ◽

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).

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ANALISIS PENGARUH ANGKA HARAPAN LAMA SEKOLAH, RATA-RATA LAMA SEKOLAH, DAN PENGELUARAN PER KAPITA TERHADAP INDEKS PEMBANGUNAN MANUSIA DI PROVINSI JAWA TENGAH

PRISMATIKA: Jurnal Pendidikan dan Riset Matematika ◽

10.33503/prismatika.v3i2.1180 ◽

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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Impacts of Government and Household Expenditure on Human Development Index

JEJAK ◽

10.15294/jejak.v10i2.11305 ◽

2017 ◽

Vol 10 (2) ◽

pp. 412-428

Author(s):

Niken Sulistyowati ◽

Bonar Marulitua Sinaga ◽

Novindra Novindra

Keyword(s):

Human Development ◽

Human Development Index ◽

Model Simulation ◽

Government Expenditure ◽

Estimation Method ◽

Structural Equations ◽

Simultaneous Equations ◽

Factors Affecting ◽

Development Index ◽

Central Java

The objective of this reseach are to: (1) analyze the factors affecting human development index and household expenditures for health, education and others, (2) predict the impacts of government expenditure policy in the field of education, health, and infrastructure on human development index in Central Java. The model was built using econometric approach in the form of a system of simultaneous equations, including five blocks i.e. government's revenue, expenditures, input, output, and performance. The system of simultaneous equations consisted of 26 equations (19 structural equations and 7 identity equations). The estimation method used Two Stage Least Squares with SYSLIN procedure. Prediction simulation used the stepwise Autoregressive method. The model simulation used Newton's method and SIMNLIN procedure. The results of policy simulation concludes that the combination of the increase in government expenditure for education and infrastructure lead to better performance in increasing income per capita, disposable income and HDI compared to the combination of the policy of the increase in government expenditure for education and in both municipalities and district, but municipalities receive greatest impact compared to the district.

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Analisis Pengaruh Sanitasi dan Akses Air Bersih Terhadap Indeks Pembangunan Manusia di Jawa Tengah

Jurnal Ilmiah Universitas Batanghari Jambi ◽

10.33087/jiubj.v21i1.1210 ◽

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.

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Model for Empowering Farmers at Dry Land through Quadruple Helix Approach

Journal of Arts and Humanities ◽

10.18533/journal.v6i4.1131 ◽

2017 ◽

Vol 6 (4) ◽

pp. 01 ◽

Cited By ~ 1

Author(s):

Etty Soesilowati

Keyword(s):

Civil Society ◽

Human Development ◽

Human Development Index ◽

Local Governments ◽

Triple Helix ◽

Research Area ◽

Quadruple Helix ◽

Dry Land ◽

Development Index ◽

Central Java

There are many potentials in the sector of silvoagriculture, silvopastura and silvoagrofishery at Kandri and Cepoko district as “green belt” areas of Semarang. Unfortunately, these potentials do not give a significant impact on society yet. This is due to the lack of farmer’s institution system, limited human resource, and infrastructure. The Triple Helix approach involving academician, businessman, and government is found to be less optimal. The study aims to assess the effectiveness of the model used for empowering the farmers at dry land area through the Quadruple Helix approach as the development of Triple Helix one involving academician, businessman, civil society, and government. The locus of the research area is Kandri and Cepoko district at Gunungpati subdistrict in Semarang City of Central Java Province, Indonesia. This research employed qualitative and quantitative approaches. In the qualitative approach, the data are analyzed using an interactive model. While the quantitative approach, Human Development Index (HDI) analysis is employed. The results find that farmers' empowerment program is conducted through the Quadruple Helix approach by involving academicians, businessmen, local governments and civil society groups at the villages. Then, the HDI calculation results show that the index of human development in Kandri has decreased 0.09444. Before the program, it was amounted from 0.82367 to 0.72923. Whereas, the human development index of farmers in Cepoko before the program has increased from 0.83142 to 0.84085. Its increase reaches 0.09425. This indicates that the farmer group at Cepoko district is more resistant to national economic issues such as the weak exchange rate than the farmers in Kandri disctrict. Therefore, this study makes recommendation that farmers should organize integrated farming by establishing integrated economic region so that they can make use of existing resources efficiently and effectively.

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Determinant Human Development Index: Regional Government Financial Performance Perspective in Central Java, Indonesia

Proceedings of the 1st Unimed International Conference on Economics Education and Social Science ◽

10.5220/0009508212741281 ◽

2018 ◽

Author(s):

. Kiswanto ◽

Trisni Suryarini ◽

Rina Anggraeni

Keyword(s):

Financial Performance ◽

Human Development ◽

Human Development Index ◽

Regional Government ◽

Development Index ◽

Central Java

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Analisis Situasi Pembangunan Manusia di Jawa Tengah

Indonesian Journal of Applied Statistics ◽

10.13057/ijas.v3i1.39910 ◽

2020 ◽

Vol 3 (1) ◽

pp. 12

Author(s):

Laeli Sugiyono

Keyword(s):

Economic Growth ◽

Data Analysis ◽

Human Development ◽

Human Development Index ◽

Secondary Data ◽

Cross Sectional ◽

Development Index ◽

Central Java ◽

Cartesian Diagram

This study aims to analyze the disclosure distribution of the position regency/city in Central Java based on the linkage of Economic Growth (EG) and Human Development Index (HDI). The study uses secondary data in the form of cross-sectional regional regency/city based on EG and HDI components. Data analysis uses regency/city distribution plot diagram based on EG and HDI components in the Cartesian diagram which divides the space into 4 Quadrants, namely: Quadrant I of the regency/city distribution plots with high EG and HDI, Quadrant II of the regency/city distribution plots with low EG and high HDI, Quadrant III of the regency/city distribution plots with high EG and low HDI, and Quadrant IV of the regency/city distribution plots with low EG and HDI. This study concludes that the position of cities in Central Java in general is in line with the Quadrant I group, the HDI of regency/city in the area of the ex-Semarang and ex-Surakarta residency is in Quadrant I. Other regencies/cities are spread in Quadrant II, III, and IV.Keywords : human development index, economic growth, Central Java, distribution plot

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Evaluation Study of Human Development Index (Policy Learned from Salatiga City and Semarang City)

E3S Web of Conferences ◽

10.1051/e3sconf/20187309018 ◽

2018 ◽

Vol 73 ◽

pp. 09018

Author(s):

Taufiq Ahmad ◽

Santoso Edi

Keyword(s):

Local Government ◽

Pregnant Women ◽

Human Development ◽

Human Development Index ◽

Health Sector ◽

Evaluation Study ◽

Primary Data ◽

Index Policy ◽

Development Index ◽

Central Java

The objective of the research is to analyze the success story of the Salatiga City and Semarang City in the best three achievements and position in Human Development Index in the Central Java Province 2013-2015, what kinds of policy learned can be taken. The research uses qualitative model with several informants as sources of primary data. The data is taken by interviewing with some informants, such as: Local Government Health Service of Salatiga City and Semarang City, Local Government Educational Service of Salatiga City and Semarang City, Regional body for planning and development (Bappeda) of Salatiga City and Semarang City. Triangulation method is the best way to eliminate the fact contruction differences in the context of a certain study when collecting the data about the events and relationships of the various views. Through this technique the researchers also compared the findings with a variety of sources. The study found, firstly, in the health sector, Salatiga City have mainly program, that is improve and practice OSOC (One Student One Client) program, the program focuses in pregnant women with highly risk, OSOC program involve the local government, the obsgins doctor and student of university (especially health academy student), after recoding the pregnant women with highly risk and then become the student client. Meanwhile Semarang City improves and practice EMAS (Emerging Maternal and Neonatal Survival) program based on cooperation with USAID. As we know that the maternal and neonatal mortality is important aspect of Human Development Index. Secondly: in education sector, Salatiga City and Semarang City improve and practice Local Student Operational Aid (BOSDA) and Poor Student Aid for basic and junior school student, that program can increase the educational partisipation rate.

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GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION DENGAN FUNGSI KERNEL FIXED GAUSSIAN PADA KEMISKINAN JAWA TENGAH

Indonesian Journal of Statistics and Its Applications ◽

10.29244/ijsa.v2i2.189 ◽

2018 ◽

Vol 2 (2) ◽

pp. 101-112

Author(s):

Wulandari Wulandari

Keyword(s):

Logistic Regression ◽

Participation Rate ◽

Poverty Rate ◽

Parameter Estimates ◽

High Poverty ◽

Macroeconomic Factors ◽

Central Java ◽

Heterogeneous Effects ◽

Weighted Logistic Regression ◽

Geographically Weighted Logistic Regression

Poverty alleviation is a problem faced by many countries in the world, included Indonesia. Poverty in Indonesia still relatively high. Poverty is one indicator of welfare. In general, the decline in poverty means that people's welfare increasing. Poverty is a multi-dimensional problem, which involves various microeconomic and macroeconomic factors, including the influence of the surrounding region. Modeling with geographically weighted regression (GWR) accommodates heterogeneous effects of independent variables on the dependent variable and produces a local parameter estimates. Central Java has the second highest poverty rate among provinces in Java. This study will model poverty in Central Java with a model that accommodates the influence of the surrounding region, named Geographically Weighted Logistic Regression (GWLR). Poverty modeling in Central Java with GWLR, in general, literacy rates (AMH), per capita GRDP, and Labor Force Participation Rate (TPAK) significantly affected poverty in Central Java with values that varied between districts / cities.

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