scholarly journals Prediction of Human Development Index with Health Indicators Using Tree-Based Regression Models

Author(s):  
Pelin AKIN ◽  
Tuba KOC
Author(s):  
Roni Yoga Irawan ◽  
Wawan Laksito Yuly Saptomo ◽  
Setiyowati Setiyowati

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.


2021 ◽  
pp. 1-11
Author(s):  
Mohamed Buheji ◽  
Amer AlDerazi ◽  
Dunya Ahmed ◽  
Nicola Luigi Bragazzi ◽  
Haitham Jahrami ◽  
...  

BACKGROUND & OBJECTIVE: Outcomes of the pandemic COVID-19 varied from one country to another. We aimed to describe the association between the global recovery and mortality rates of COVID-19 cases in different countries and the Human Development Index (HDI) as a socioeconomic indicator. METHODS: A correlational (ecological) study design is used. The analysis used data from 173 countries. Poisson regression models were applied to study the relationship between HDI and pandemic recovery and mortality rates, adjusting for country median age and country male to female sex ratio. RESULTS: During the first three months, the global pooled recovery rate was 32.4%(95%CI 32.3%–32.5%), and the pooled mortality rate was 6.95%(95%CI 6.94%–6.99%). Regression models revealed that HDI was positively associated with recovery β= 1.37, p = 0.016. HDI was also positively associated with the mortality outcome β= 1.79, p = 0.016. CONCLUSIONS: Our findings imply that the positive association between the HDI and recovery rates is reflective of the pandemics’ preparedness. The positive association between the HDI and mortality rates points to vulnerabilities in approaches to tackle health crises. It is critical to better understand the connection between nations’ socioeconomic factors and their readiness for future pandemics in order to strengthen public health policies.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Frans Salesman ◽  
Marianus Mantovanni Tapung ◽  
Leonadus Ino Setiawan

Abstract The Human Development Index (HDI) is a composite index: health indicators through life expectancy, education indicators through mean expectations and school length, and per capita real purchasing power. The HDI level of NTT province in 2016 is 63.13 points, and Manggarai District in the same year amounted to 61.87 points. When compared with the national HDI, HDI Kabupaten Manggarai is still low. Therefore, it is necessary to develop Manggarai HDM strategy and policy during 2016-2021.Purpose. Develop strategies and policies to improve the Human Development Index in Manggarai 2016-2021. Methods. Analyzing Data publication BPS East Nusa Tenggara  and Manggarai District 2014-2016, health profile of Manggarai District. Qualitative data obtained from the FGD preparation of Medium Term Development Plan Manggarai District 2016-2021. 42 FGD participants 42 persons. Results. The development of economic, education and health development strategies and policies that can accelerate the growth of HDI in Manggarai district during 2016-2021. Conclusion.IPM in Manggarai district has been in the "moderate" group with 2014 figure of 60.08 points, 2015 by 60.87 points, and by 2016. The growth of HDI between 2015-2016 is 1.31% if using the reduction of shortfall, the growth of HDI in Manggarai is included in slow category because the acquisition rate is <1.70. Accelerating the growth of HDI is a hope for all parties. Therefore, effective strategies and policies are needed to boost the slow growth of HDI to accelerate by utilizing all available resources. Keywords: Human Development Index, Development Strategy


2003 ◽  
Vol 8 (2) ◽  
pp. 97-100 ◽  
Author(s):  
Maria José Sotelo ◽  
Luis Gimeno

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.


2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Adriwati Adriwati

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


2016 ◽  
Vol 4 (2) ◽  
pp. 183 ◽  
Author(s):  
Latife Sinem Sarul ◽  
Özge Eren

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.


2019 ◽  
Vol 118 (2) ◽  
pp. 81-85
Author(s):  
Rusdiyanta ◽  
M.Si¹ DanBambangPujiyono ◽  
MM ◽  
M.Si2

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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