scholarly journals Classifying regencies and cities on human development index dimensions: Application of K-Means cluster analysis

2021 ◽  
Vol 5 (2) ◽  
pp. 913-918
Author(s):  
Nurhasanah Nurhasanah ◽  
Nany Salwa ◽  
Lyra Ornila ◽  
Amiruddin Hasan ◽  
Martahadi Mardhani
Keyword(s):  
Cluster Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Development Process ◽  
Clustering Algorithm ◽  
Development Plan ◽  
Clustering Method ◽  
Development Index ◽  
The Third

The Human Development Index (HDI) is a measurement that analyzes a region's development in improving human development. The government's development plan aims to create a successful and peaceful life. The unbalanced development in every regency and city in Indonesia is a typical issue during the development process. It may also be shown that the HDI level changes across regencies and cities in Indonesia. This research aims to identify Indonesian regencies and cities based on HDI indices. K-Means clustering algorithm is the clustering method adopted. The results of the analysis formed 4 clusters. The first cluster consisted of 20 regencies with a low average HDI indicator. The second cluster consisted of 148 regencies and cities with an average HDI indicator is medium. The third cluster consisted of 88 regencies and cities with an average HDI indicator. The fourth cluster consists of 258 regencies and cities with high HDI indicators.

scholarly journals Metode Analisis Diskriminan dalam Pengelompokan Kabupaten/Kota di Provinsi Sulawesi Selatan Berdasarkan Indikator Indeks Pembangunan Manusia

2020 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Novi Afryanthi S. ◽  
Muhammad Arif Tiro ◽  
Ansari Saleh Ahmar
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Life Expectancy ◽  
Human Development ◽  
Human Development Index ◽  
Statistic Analysis ◽  
Development Index ◽  
South Sulawesi ◽  
Life Expectancy Increase

Abstract. Discriminant analysis is a method in multivariat statistic analysis that related with object which have separated into the defined group defined and see the accuracy  of the formed group. In this research, clustera analysis is used for the first grouping,  cluster  analysis is a statistical analysis which aims to classify some objects based on the characteristics similarity among the object. Data for this study is HDI (Human Development Index)  of indicator in south sulawesi in 2016. The result of this research are 1st cluster (lower  HDI indicator) which have 21 city/ distric and the 2nd cluster (higher  HDI indicator) which have 3 city/distric as the closeness value between the cluster that formed is 0.902 which shows the closeness between the cluster is high . Furthermore, the discriminant function that have formed explains that if the life expectancy increase, the HDI indicator in city/distric in south sulawesi province will decrease but if school  expectation duration in school , average of duration in school, and parity of pur hasing power is increasing, the HDI indicator in city/distric in aouth sulawesi will also increase.Keywords: Cluster analysis, Discriminant analysis , Human development index indicator.

scholarly journals Investigating Inequalities in Access to Healthcare: The Case of Townships of Kermanshah, Iran

2019 ◽  
Author(s):  
Sohyla Reshadat ◽  
Alireza Zangeneh ◽  
Shahram Saeidi ◽  
Raziyeh Teimouri ◽  
Shirin Zardui GolAnbari ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Medical Care ◽  
Human Development ◽  
Human Development Index ◽  
Hierarchical Cluster ◽  
Health Facilities ◽  
Unequal Distribution ◽  
Development Index ◽  
The Mean ◽  
Access To Medical Care

Abstract Background: Access to medical care is one of the major issues affecting human health. This study aims to investigate inequality in access to medical care in the townships in Kermanshah, Iran. Methods: Methodology approach includes a descriptive-analytic study followed by determining the degree of development of the townships calculated in terms of access to medical care through the hierarchical cluster analysis and the combined model of human development index. Additionally, the mean center and standard distance tests are handled in a geographic information system software to identify the deployment pattern of the status of access to medical care indexes. Results: As for the ratio of physicians, nursing staff, paramedical staff, administrative staff of health care, dentists, pharmacists, hospitals, general and specialized clinics, radiology, rehabilitation centers and laboratories to a population of 10,000, the results of analyzing the findings were indicative of unequal distribution of facilities at the level of townships. This is based on The results of comparing the mean centers of population and health facilities showed that the centers of both data categories were located in Kermanshah. The two standard distances (i.e., population and health facilities) demonstrated that the health facilities witnessed more dispersion in the northwestern regions than the concentration of population in the central and southeastern regions of the province. Conclusions: The results indicated that the indexes of development of facilities and healthcare resources were not distributed equitably and with a balance between the townships of the Kermanshah Province. Keywords: healthcare; medical care inequality; human development index; spatial analysis, cluster analysis; Kermanshah, Iran

Ein glücksökonomisch modifizierter Human Development Index für Deutschland (1920-1960)

2017 ◽  
Vol 58 (1) ◽  
pp. 239-278
Author(s):  
Tobias A. Jopp
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Third Reich ◽  
Living Standards ◽  
Economic Research ◽  
Living Standard ◽  
Development Index ◽  
The Third ◽  
Partial Indices ◽  
The Third Reich

Abstract The United Nations’ Human Development Index (HDI) has become an important tool for measuring and comparing living standards between countries and regions. However, the HDI has also attracted a fair share of conceptual criticism. Starting from Andrea Wagner’s historical estimations of a HDI for Germany in the interwar and early postwar period, we take up part of that criticism by implementing three essential modifications to the mode of calculation. We test how far they alter our picture of the relative living standard in the Weimar Republic, the Third Reich, and the Federal Republic of Germany. First, we replace the arithmetic mean by the geometric mean, which is said to solve the problem of perfect substitutability; second, we extend the HDI by an additional fourth dimension measuring economic and political freedom – an important, though neglected, dimension; and third, as the perhaps most crucial conceptual intervention, we develop weighting schemes for the partial indices that are theoretically backed by happiness economic research. Thus, we challenge the common, but arbitrary fundamental assumption that all partial indices receive equal weights. Our results show that the HDI for Germany reacts very sensitively to conceptual interventions, making it difficult to use it for the intertemporal and international comparison of living standards. We also find that the proposed modified HDIs allow for a re-evaluation of the living standard in interwar Germany; and in contrast to what the reference estimations on the HDI for Germany say, there is a profound discontinuity between the Third Reich and post-war Germany in terms of living standards.

scholarly journals Classification of Human Development Index Using K-Means

2019 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Retno Tri Vulandari ◽  
Sri Siswanti ◽  
Andriani Kusumaningrum Kusumawijaya ◽  
Kumaratih Sandradewi
Keyword(s):  
Cluster Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Human Life ◽  
Important Indicator ◽  
Development Index ◽  
Multivariate Technique ◽  
Central Java ◽  
High Estimate ◽  
Years Of Schooling

<p>Human development progress in Central Java. It is characterized by a continued rise in the human development index (HDI) of Central Java. HDI is an important indicator for measuring success in the effort to build the quality of human life. HDI explains how residents can access the development results in obtaining a long and healthy life, knowledge, education, decent standard of living and so on. HDI is affected by four factors, namely life expectancy, expected years of schooling, means years of schooling, and expenditure per capita. Currently the Central bureau of statistics do grouping HDI, using calculation formula then known how the value HDI each regency or city in Central Java. In this research we classified the regency or city in Central Java based on the HDI be high, middle, and under estimate area. We used cluster analysis. Cluster analysis is a multivariate technique which has the main purpose to classify objects based on their characteristics. Cluster analysis classifies the object, so that each object that has similar characteristics to be clumped into a single cluster (group). One of the cluster analysis method is <em>k</em>-means. The result of this research, there are three groups, high estimate area, middle estimate area, and under estimate area. The first group or the under estimate area contained 12 regencies, namely Cilacap, Purbalingga, Purworejo, Wonosobo, Grobogan, Blora, Rembang, Pati, Jepara, Demak, Pekalongan, and Brebes. The second group or the middle estimate area contained 8 regencies, namely Banjarnegara, Kebumen, Magelang, Temanggung, Wonogiri, Batang, Pemalang, and Tegal. The third group or the high estimate area contained 11 regencies, namely Banyumas, Kudus, Boyolali, Klaten, Sukoharjo, Karanganyar, Sragen, Semarang, Kendal, Surakarta, and Salatiga.</p><p><strong>Keywords</strong><strong> : </strong>cluster analysis, <em>k</em>-means, the human development index.</p>

scholarly journals Human Development in the European Union and its Determinants

2020 ◽  
pp. 1-11
Author(s):  
Maria-Daniela TUDORACHE
Keyword(s):  
European Union ◽  
Human Development ◽  
Human Development Index ◽  
Development Process ◽  
Generalized Least Squares ◽  
The European Union ◽  
The Sustainable Development ◽  
Development Index ◽  
Fixed Capital Formation ◽  
And Training

Human development is one of the most important forms of development, which could enhance the sustainable development process. Through this paper, the evolution of human development index in the European Union was analysed in the period 2010-2017, and the effects exercised by its determinants were estimated. In this context, panel data was used for the period specified above and the Estimated Generalized Least Squares were applied, weighted with the Period SUR option. The results show an inverse relantionship between two variables (early leavers from education and training rate, and employment in agriculture) and the human development index. In addition, human development increases not only when the corruption dimension falls down, but also when life expectancy and gross fixed capital formation increase.

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.

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