scholarly journals Comparing the Principal Regression Analysis Method with Ridge Regression Analysis in Overcoming Multicollinearity on Human Development Index (HDI) Data in Regency/City of East Java in 2018

2021 ◽  
Vol 1872 (1) ◽  
pp. 012024
Author(s):  
A F Yoantika ◽  
Susiswo
Keyword(s):  
Regression Analysis ◽  
Human Development ◽  
Ridge Regression ◽  
Human Development Index ◽  
Analysis Method ◽  
Development Index ◽  
Ridge Regression Analysis

scholarly journals Analisis Pengaruh Pengeluaran Pemerintah Terhadap Pertumbuhan Ekonomi dan Indeks Pembangunan Manusia di Indonesia

2016 ◽  
Vol 1 (1) ◽  
pp. 39-50
Author(s):  
Ginanjar Aji Nugroho
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Government Expenditures ◽  
Analysis Method ◽  
Statistical Average ◽  
Development Index ◽  
The Mean

The puposes of this study are (1) to analyze the effects of government expenditures on education, health and infrastructure sectors toward economic growth and human development index in Indonesia, (2) to investigate the impacts of economic growth on human dvelopment index, (3) and to examine the effects of government expenditures on education, health and infrastructure sectors toward human development index both directly and through the economic growth. The study used samples from twenty provinces, which were selected using simple random sampling, divided into two groups; the first group comprised higher HDI provinces; the second group consisted of lower HDI provinces. To examine the model, the study applied path analysis method. The mean test was also applied to determine whether there were statistical average differences between the two groups. The results of this study show different responds between the higher HDI provinces and lower HDI provinces. The higher HDI provinces show that government expenditures on health and infrastructure have positive and significant impacts on human development index through economic growth indirectly; on the other hand, the lower HDI provinces show that only expenditure on education gives positive and significant impacts on human development index. Meanwhile, the economic growth shows positive and significant impacts on human development index in both higher HDI and lower HDI provinces.  Abstrak Penelitian ini bertujuan untuk: (1).Mengetahui pengaruh pengeluaran pemerintah pada sektor pendidikan, kesehatan dan infrastruktur terhadap pertumbuhan ekonomi dan indeks pembangunan manusia (IPM) di Indonesia, (2).Mengetahui pengaruh pertumbuhan ekonomi terhadap IPM, dan (3).Mengetahui pengaruh pengeluaran pemerintah pada sektor pendidikan, kesehatan dan infrastruktur terhadap IPM, baik secara langsung maupun melalui pertumbuhan ekonomi. Penelitian ini menggunakan sampel dua puluh provinsi yang dipilih dengan teknik simple random sampling yang kemudian dibagi kedalam dua kelompok, yaitu kelompok daerah dengan angka IPM tinggi dan kelompok daerah dengan angka IPM rendah. Metode yang digunakan dalam penelitian ini adalah analisis jalur. Sebagai pendukung, juga dilakukan uji beda rata-rata untuk mengetahui ada tidaknya perbedaan rata-rata secara statistik terhadap dua kelompok tersebut. Hasil estimasi menunjukkan bahwa terdapat perbedaan respon diantara dua kelompok daerah tersebut. Pada kelompok daerah dengan angka IPM tinggi, terlihat bahwa pengeluaran kesehatan dan infrastruktur mempunyai pengaruh positif dan signifikan terhadap IPM melalui pertumbuhan ekonomi, sedangkan pada kelompok daerah dengan angka IPM rendah terlihat bahwa hanya pengeluaran pendidikan yang mempunyai pengaruh positif dan signifikan terhadap angka IPM. Adapun pertumbuhan ekonomi, terlihat menunjukkan pengaruh yang positif dan signifikan terhadap IPM. Hal ini terjadi pada kedua kelompok daerah, baik kelompok daerah dengan IPM tinggi maupun IPM rendah.

ANALISIS PENGARUH INDEKS PEMBANGUNAN MANUSIA DAN TINGKAT PENGANGGURAN TERBUKA TERHADAP KEMISKINAN DI INDONESIA

2019 ◽  
Vol 2 (2) ◽  
pp. 77-89
Author(s):  
Saparuddin Mukhtar ◽  
Ari Saptono ◽  
As’ad Samsul Arifin
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Lagrange Multiplier Test ◽  
Development Index ◽  
Analysis Techniques ◽  
Negative Effect

Abstract - This study aims to determine the effect of Human Development Index and Open Unemployment to poverty in Indonesia. The data in this study are secondary data about the human development index, the opened unemployment rate, and the percentage of poverty. The data is obtained from panel data of 33 provinces in Indonesia for 4 years from 2011 to 2014. The data analysis techniques uses regression analysis by using Random Effects based on the results of the Lagrange Multiplier test. The results showes that the Human Development Index hasa significant negative effect to poverty. Meanwhile, the level of opened unemployment has no significant effect to poverty in Indonesia. Keywords: Human Development Index, Opened Unemployment Rate, Poverty

scholarly journals KINERJA KEUANGAN DAERAH DAN INDEKS PEMBANGUNAN MANUSIA: MEDIASI PERTUMBUHAN EKONOMI

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhsin N Bailusy
Keyword(s):  
Economic Growth ◽  
Financial Performance ◽  
Human Development ◽  
Human Development Index ◽  
Data Bank ◽  
Regional Government ◽  
Analysis Method ◽  
Development Index ◽  
Analysis Techniques ◽  
Using Data

Penelitian ini bertujuan untuk menganalisis secara emperik pengaruh kinerja keuangan pemerintah daerah terhadap indeks pembangunan manusia, pertumbuhan ekonomi dan menganalisis secara empirik apakah pertumbuhan ekonomi mampu memediasi kinerja keuangan terhadap indeks pembangunan manusia. Penelitian ini dilakukan pada sepuluh Kabupaten/Kota di Provinsi Maluku Utara, dengan menggunakan data yang bersumber dari BPS provinsi Maluku Utara maupun BPS kabupaten/kota, data Laporan Bank Indonesia dan Laporan Kementerian/Lembaga dari tahun 2014-2018. Teknik analisa data dalam penelitian ini menggunakan analisis regresi dengan metode Analisis Jalur (Path Analisis). Hasil penelitian menunjukkan bahwa dari lima hipotesis yang diajukan, tiga hipotesis terdukung dan dua hipotesis tidak terdukung.Kata kunci: Kinerja Keuangan Daerah, Indeks Pembangunan Manusia, Pertumbuhan Ekonomi This study aims to analyze emperically the influence of Regional Government Financial Performance on the Human Development Index, Economic Growth and analyze empirically whether Economic Growth is able to mediate Financial Performance on the Human Development Index. This research was conducted in ten districts/ cities in North Maluku Province, using data sourced from BPS North Maluku province and BPS districts/ cities,data Bank Indonesia Report and Ministry/ Institution Report from 2014-2018. Data analysis techniques in this study useregression analysis with the Path Analysis method. The results showed that of the five hypotheses proposed, three were supported and two were not supported.Keywords: Regional Financial Performance, Human Development Index, Economic Growth

scholarly journals CARBON EMISSION (CO2) AND POVERTY ON HUMAN DEVELOPMENT INDEX EVIDENCE IN EAST JAVA

TRIKONOMIKA ◽  
2020 ◽  
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Carbon Emission ◽  
Secondary Data ◽  
Analysis Method ◽  
Poverty Level ◽  
Intergovernmental Panel ◽  
Development Index ◽  
Data Estimation ◽  
Level Effect

Carbon emission is exhaust gas that exist around us. According to data estimation of the Intergovernmental Panel on Climate Change (IPCC), carbon emission in Indonesia was 201 million tons and sharply increase in 2024 that will reach 383 million tons. This paper explains about the effect of CO2 emission levels and poverty on the human development index. The data that used is a time series of secondary data within the year of 2012 to 2016 and a cross-sector with 38 regencies in East Java. This research use panel data regressions analysis method. The result concluded that the emissions level in East Java affect positively and significantly towards the human development index. Those, caused by the emission of CO2 levels in East Java still in a good category, means that the environment is still capable of tolerating the emission level. The poverty level effect negatively and significantly into the human development index.

scholarly journals METODE MODIFIED JACKKNIFE RIDGE REGRESSION DALAM PENANGANAN MULTIKOLINIERITAS (STUDI KASUS INDEKS PEMBANGUNAN MANUSIA DI JAWA TENGAH)

2021 ◽  
Vol 10 (1) ◽  
pp. 104-113
Author(s):  
Arya Huda Arrasyid ◽  
Dwi Ispriyanti ◽  
Abdul Hoyyi
Keyword(s):  
Linear Regression ◽  
Human Development ◽  
Ridge Regression ◽  
Human Development Index ◽  
Mean Squared Error ◽  
Regression Method ◽  
Linear Regression Method ◽  
Development Index ◽  
Regression Parameters ◽  
Years Of Schooling

The human development index is a value where the value showed the measure of living standards comparison in a region. The Human Development Index is influenced by several factors, one of them is the education factor that is the average years of schooling and expected years of schooling. A statistical method to find the correlation between the independent variable and the dependent variable can be conducted using the linear regression method. Linear regression requires several assumptions, one of which is the multicollinearity assumption. If the multicollinearity assumption is not fulfilled, another alternative is needed to estimate the regression parameters. One method that can be used to estimate regression parameters is the ridge regression method with an ordinary ridge regression estimator. Ordinary ridge regression then developed more into several methods, such as generalized ridge regression, jackknife ridge regression, and modified jackknife ridge regression method. The generalized Ridge Regression method causes a reduction to variance in linear regression, while the jackknife ridge regression method is obtained by resampling jackknife process on the generalized ridge regression method. Modified jackknife ridge regression is a combination of generalized ridge regression and jackknife ridge regression method. In this journal, the three ridge regression methods will be compared based on the Mean Squared Error obtained in each method. The results of this study indicate that the jackknife ridge regression method has the smallest MSE value. Keywords: Generalized Ridge Regression, Jackknife Ridge Regression, Modified Jackknife Ridge Regression, Multicolinearity  

scholarly journals Human Development Index (HDI) As a Planning Plan For Dealing Globalization of Asean Economic Society (MEA) in Indonesia

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Ade Manggala Hardianto ◽  
Bambang Tjahjadi ◽  
I Made Narsa
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Comparative Research ◽  
Central Government ◽  
Secondary Data ◽  
Capital City ◽  
Analysis Method ◽  
West Kalimantan ◽  
Development Index ◽  
The Impact

The purpose of this study is to map the human development index (HDI) of each region and regional planning efforts against the economic community of ASEAN (MEA). The research data used is secondary data sourced from the Central Bureau of Statistics (BPS) from 2010 until 2016. The research methodology used is comparative research using secondary data analysis method, depicting human development index as measured by society welfare, that is health, education, and life standard or often called economic. The research results show that there are 9 provinces that have different HDI with Jakarta Capital City as the capital of Indonesia, West Nusa Tenggara (NTB), East Nusa Tenggara (NTT), West Kalimantan (KALBAR), North Kalimantan, Gorontalo, West Sulawesi , North Maluku and West Papua and Papua. The impact of this study is that central government focuses more on areas with different Human Development Index (HDI) with DKI Jakarta and equitable development to improve infrastructure in the area.

scholarly journals The Nexus Between Good Governance Indicators And Human Development Index In Africa: An Econometric Analysis

2020 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Paulos C Tsegaw
Keyword(s):  
Regression Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Good Governance ◽  
Political Stability ◽  
Development Effort ◽  
Panel Regression ◽  
African Countries ◽  
Development Index ◽  
Governance Indicators

This study examines the association between good governance indicators and the human development index in Africa. Accordingly, it uses the panel data of 49 African countries from 2000-2018 on the six World Bank governance indicators (WGIs) and the UNDP aggregate human development index (HDI). The data are analyzed using descriptive statistics and panel regression analysis. The descriptive statistical analysis shows that most of the countries that are scoring high in the governance indicators are also scoring high in the human development index. It also indicates that Africa's average score in all governance indicators from 2000-2018 ranges between 36.2 % and 40.4%, while the score for human development was 50.8%. Using a one-year moving average, the calculated improvement rates for the eighteen years in all the governance and human development indicators were meager. The finding from the panel regression analysis attests only the three good governance indicators - the rule of law, regulatory quality, and political stability and absence of violence - are significantly and directly associated with the human development index. The finding implies that policy makers in African countries should give emphasis on these three good governance indicators to augment their human development effort.

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