scholarly journals ANALISIS K-MEANS CLUSTER PADA KABUPATEN/KOTA DI PROVINSI BANTEN BERDASARKAN INDIKATOR INDEKS PEMBANGUNAN MANUSIA

2021 ◽  
Vol 2 (3) ◽  
pp. 267-281
Author(s):  
Rindang Ndaru Puspita
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Average Length ◽  
Human Life ◽  
Provincial Government ◽  
Cluster Method ◽  
Development Index ◽  
Life Expectancy At Birth ◽  
The People ◽  
The City

The Human Development Index (HDI) is one of the parameters of success in the development of the quality of human life, besides that at the regional level, the HDI is an indicator of the primary performance measurement and allocation of Regional Incentive Funds in promoting the welfare of the people in the area. In 2020 the Banten Province Human Development Index 72.45 only rose 0.01% compared to 2019, lower than the growth in 2019, which reached 0.68% and is still stuck in the high category (70≤HDI≤80), this indicates the progress of human development in Banten experienced a slowdown, In addition, when compared to the growth of the HDI-forming indicators in 2019, all components that make up the HDI experienced a slowdown in growth except for RLS which experienced growth acceleration of 0.33% from 1.39% in 2019 to 1.72% in 2020. So it is necessary to do a deeper analysis to determine the characteristics of the indicators that make up the HDI in the City as a contributor to the HDI value of the Banten Province so that efforts can be made to increase human development as evidence of improving the welfare of the people in the Banten Province. The K-Means Cluster method is used to group cities in Banten Province based on similar characteristics in terms of the HDI compiler indicators, including Life Expectancy at Birth, Expected Years of Schooling, and Average Length of School in, and Expenditure per Capita. Based on the results of the analysis obtained three clusters consisting of cities with similar characteristics in each cluster. Cluster 1 is a City with a low HDI indicator consisting of Pandeglang, Lebak, Serang. Cluster 2 is a City with a medium HDI indicator consisting of Tangerang, Cilegon, Serang City. Cluster 3 has a high HDI indicator consisting of Tangerang City and South Tangerang City. After obtaining City information based on the characteristics of each cluster, then the Banten Provincial government can provide direction and policies to each City in Clusters 1 and 2 to be able to develop activity programs with more attention to the HDI compiler indicators so that the Human Development Index in the City can increase

scholarly journals Analisis Dimensi Pembentuk Indeks Pembangunan Manusia (IPM) Provinsi Jambi 2010-2019

2020 ◽  
Vol 4 (2) ◽  
pp. 389
Author(s):  
Jasasila Jasasila
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Average Length ◽  
Health Sector ◽  
Numerical Data ◽  
Living Standard ◽  
Human Capabilities ◽  
Human Welfare ◽  
Development Index ◽  
Life Expectancy At Birth

Human development is a process and an outcome that is the process of enlarging people's choices but also becoming a goal. Human development implies that people must influence the processes that shape their lives. Human development is the development of society through the building of human capabilities, by society through active participation in the processes that shape life and society by improving their lives. It is broader than other approaches, such as the human resources approach, the basic needs approach and the human welfare approach. The problem of this research is how the development of the Human Development Index in Jambi Province in 2010-2019, the second problem is how to analyze the dimensions that form the Human Development Index in Jambi Province in 2010-2019, while the purpose of this study is, To determine the Development of the Human Development Index in the Province Jambi in 2010-2019 and to analyze the dimensions forming the human development index of Jambi Province in 2010-2019. The type of research that the writer uses in this thesis is the type of qualitative analysis and quantitative analysis. The data that is sought in this study is in the form of numerical data which includes data on life expectancy at birth, expectations of length of schooling and average length of schooling which are obtained from the official website of the BPS (Central Statistics Agency) Jambi Province. The results of this study indicate that during the period 2010 to 2019 the HDI of Jambi Province showed great progress. In 2019, the HDI of Jambi Province has reached 71 points, which means that it has increased from the “Medium” to “High” level compared to 2017. During the 2010-2019 period, the HDI of Jambi Province in the Health Sector has always shown an increase, the highest development was in 2019 of 0.23% and the lowest development was in 2017 at 0.07%. During 2010-2019 the HDI of Jambi Province in the Education Sector has always shown an increase, the highest increase in the indicator of long school expectancy (HLS) was in 2013 at 3.75 % and the lowest development was in 2019 at 0.23% and the highest development in the average length of school (RLS) indicator was in 2012 at 2.80% and the lowest development was in 2015 at 0.50%. During 2010-2019, the HDI of Jambi Province in the Decent Living Standard Sector has always shown an increase, the highest development was in 2018 at 4.82% and the lowest development was in 2013 at 0.80%.

scholarly journals Classification of the Human Development Index in Indonesia Using the Bootstrap Aggregating Method

SinkrOn ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 100-106
Author(s):  
Noor Ell Goldameir ◽  
Anne Mudya Yolanda ◽  
Arisman Adnan ◽  
Lusi Febrianti
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Human Life ◽  
Classification Performance ◽  
Development Index ◽  
Life Expectancy At Birth ◽  
Bootstrap Aggregating ◽  
Bagging Method ◽  
Years Of Schooling

Successful development of the quality of human life in a region is determined by the Human Development Index (HDI). Human development performance based on the HDI can be measured: long and healthy life, knowledge, and a decent standard of living. The HDI is usually grouped into several categories to facilitate the classification of the HDI level of each region. This study aimed to determine the ability of the bootstrap aggregating (bagging) method to classify the HDI by district/city. Bagging is a stochastic machine learning approach that can eliminate the variance of the classifier by producing a bootstrap ensemble to obtain better accuracy results. The dependent variable in this study was the HDI by district/city in 2020. In contrast, life expectancy at birth, expected years of schooling, mean years of schooling, and real expenditure per capita are adjusted as independent variables. Bagging was applied to the high and low categories of HDI data. The bagging method demonstrated good classification performance due to only eight classification errors, namely the HDI data which should be in the high category but classified into the low category by the bagging method. Based on the results of calculations with 25 replications, it can be concluded that the bagging method has a very good performance, with an accuracy value of 92.3%, the sensitivity of 100%, and specificity of 83.33%. The bagging method is considered very good for the classifying the HDI by district/city in Indonesia in 2020 because it has a balanced accuracy of 91.67%.

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

scholarly journals PEMBANGUNAN MANUSIA PROVINSI DAERAH ISTIMEWA YOGYAKARTA

Populasi ◽  
2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Sukamdi Sukamdi
Keyword(s):  
Human Development ◽  
Economic Crisis ◽  
Human Development Index ◽  
Purchasing Power ◽  
Sharp Decline ◽  
Development Index ◽  
The City

There is a gap of development achievement in Indonesia. At least it can be observed from human development index (HDI) in the period of 1996- 2002 which show a significant different across provinces. Among provinces in Java, Yogyakarta sit in the second position after Jakarta in the year of 1996 and 1999, but it became third rank in the year of2002. As it was in other provinces, the value of the index is still lower in 2002 compared to 1996, but higher than in 1999. It means the economic crisis which hit the country affect the human development a lot. In the same time among the district in the Yogyakarta province, the gap of HDI also appeared between the District of Gunung Kidul which the rank was 140 and the city of Yogyakarta which the rank was Q in 2002. Even the gap was higher in 1996 and 1999 because the rank of Gunung Kidul is 187 and 1965 respectively while it was 5 and 2 for the city of Yogyakarta. Gunung Kidul is also the area which was the most hit by the crisis as can be seen from the sharp decline in people's purchasing power. However this area experience faster recovery shown by the higher increase of purchasing power than other districts.

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 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.

scholarly journals Human Development Index (HDI) in Lampung Province Period 2013-2018

2021 ◽  
Vol 4 (2) ◽  
pp. 119
Author(s):  
Ambya Ambya
Keyword(s):  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Capital Expenditure ◽  
Human Life ◽  
Health Sector ◽  
Life Quality ◽  
Development Index ◽  
The Government

Human development index (HDI) is one of the benchmarks used to see the quality of human life as measured by looking at the level of human life quality of education, health and economy. This study aims to determine the effect of government spending from the education, health and capital expenditure sectors as well as income on the human development index. The data used is a secondary data in 7 districts in Lampung Province period of 2013-2018 which was obtained from the Directorate General of Fiscal Balance (DGFB Ministry of Finance) and the Central Statistics Agency (CSA) in Lampung province. The results of the analysis show that the government spending in the education sector and capital expenditure have a positive and significant effect on the human development index while the health sector spending as well as income have a negative and significant effect on the human development index.

scholarly journals Analysis of Factors Affecting Human Development Index in the City of Binjai

2021 ◽  
Vol 8 (4) ◽  
pp. 161-170
Author(s):  
Elisabet Novita Barus ◽  
HB. Tarmizi ◽  
Rahmanta .
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Capita Income ◽  
Health Expenditure ◽  
Per Capita Income ◽  
Education Expenditure ◽  
Development Index ◽  
Shopping Area ◽  
Per Capita ◽  
The City

This study aims to analyze the Factors That Affect Human Development Index in the City of Binjai with variable observations shopping area in the field of health, education, population, and income per capita. This research is causality by performing multiple regression analysis (Multiple Regression Analysis). The Data used is the data of the year 2005 up to 2019 are presented per semester (n=30 samples). The results of the study concluded that the shopping area in the field of health, expenditure on education, expenditure in the field of population, and per capita income is able to influence the human development index in the local government of the City of Binjai. Based on the value of the coefficient of determination (r-square) of all the variables, it was concluded that per capita income is a variable dominant that affect the human development index in the local government of the City of Binjai. Keywords: The Human Development Index, A Shopping Area In The Field Of Health, Expenditure On Education, Expenditure In The Field Of Population, And Per Capita Income.

scholarly journals REMITANSI TENAGA KERJA INDONESIA: DAMPAKNYA TERHADAP INFLASI DAN KONTRIBUSINYA TERHADAP PENINGKATAN KUALITAS HIDUP MASYARAKAT

2009 ◽  
Vol 13 (3) ◽  
pp. 388
Author(s):  
Eny Haryati
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Development Index ◽  
Goods And Services ◽  
Governmental Policy ◽  
Exact Number ◽  
Expected Inflation ◽  
The People ◽  
The Republic ◽  
The Government

Indonesian manpower (IM) is a term used to refer to the Indonesian migrants who work overseas. Although the exact number of the IM is not well recorded by the government of the Republic of Indonesia, the amount of the remittance the IM send home to their family is found to be quite significant. In 2005, the Minister of Manpower and Transmigration of the Republic of Indonesia declared that the amount of the IM’s remittance reached US$ 2.9 billion, which was much higher than the government’s expected amount (US$ 1.9 billion). This study found out that (1) the IM’s remittance affected the amount of the money spreading in the home district where the IM came from so that it enhanced the purchasing power of the people in the district towards the consumptive goods and services which, in turn, triggered the elevation of the prices of goods and services; (2) the IM’s remittance stimulated the traders or merchants to determine the goods and services pricing which was commonly called the expected inflation; (3) most of the remittance was spent for consumptive goods and services and only a little amount of it was spent for investment; and (4) the IM’s remittance was a factor that positively affected the increase of the human development index (HDI) in the IM’s home district. To effectively increase the effect of the remittance towards the HDI in the IW’s home district, a governmental policy that was oriented towards the development of the IM’s family potentials and attempted to change people’s behavior

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