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The Human Development Index (HDI) is a critical indicator that measures the quality of development in a region through health, education, and economic dimensions. This study aims to analyze the key factors influencing HDI and its impact on social development in Indonesia. Using a descriptive analysis approach, secondary data from Statistics Indonesia (BPS) were utilized to evaluate HDI trends and disparities in recent years. Findings indicate that HDI improvement directly impacts community welfare, strengthens social stability, and reduces economic inequality. However, challenges such as regional disparities and unequal access to basic services must be addressed to achieve sustainable development. The implications of this study are expected to serve as a reference for policymakers in designing more inclusive development strategies.

This research aims to analyze the influence of unemployment and the Regional Minimum Wage (UMR) on poverty in 34 provinces in Indonesia with the Human Development Index (HDI) as an intervening variable. The high unemployment rate and minimum wage policy are considered to play a significant role in poverty conditions in the region. This research uses a path analysis approach with panel data from 2018 to 2022. The research results show that the unemployment rate has a positive influence on poverty, while the UMR shows a different influence in each province. HDI is proven to mediate the relationship between unemployment, UMR and poverty. This research contributes to the development of economic science and provides insight for the government and private sector in formulating poverty reduction policies.

This research examines the analysis of the influence of income inequality in a case study of 34 provinces in Indonesia for the 2017-2024 period. The method in this research uses panel data regression analysis, with secondary data obtained from BPS. In partial research results, the unemployment rate and poverty rate variables have a positive effect. significant to income inequality, while the variables HDI and Open Investment have a negative effect on income inequality, simultaneously the Unemployment Rate, HDI, Poverty Level and Open Investment together or simultaneously have a significant effect on income inequality.

Human Resource Development (HRD) is one of the main priorities in realizing the progress of a region. The Human Development Index (HDI) is one of the indicators used to measure the quality of HRD. This study aims to analyze the quality of HRD in Gorontalo Province using the HDI as the main indicator. Secondary data from the Central Statistics Agency (BPS) were analyzed to measure three dimensions of the HDI, namely health, education, and decent living standards during the period 2019-2023. The results of the study showed an increasing trend in the HDI across all regions, although at varying rates. Gorontalo City recorded the highest HDI value, reflecting better development quality compared to other districts. Meanwhile, North Gorontalo had the lowest HDI, although there was an increase from year to year. Further analysis showed that significant disparities in the dimensions of health, education, and per capita expenditure between urban and rural areas were major challenges. This study suggests the need for equitable development through increasing access to health services, quality education, and economic infrastructure to reduce disparities between regions. These findings are expected to contribute to more inclusive policy-making for HRD development in Gorontalo Province.

This study aims to analyze the effect of income inequality, human development index, and minimum wage on poverty in Aceh Province. It uses secondary data in the form of time series for the period 2009-2023, published by the Central Statistics Agency (BPS) of Aceh Province. The data analysis method employs multiple regression analysis using Eviews 10 software. The results show that income inequality has a negative and insignificant effect on poverty in Aceh Province. Furthermore, the human development index (HDI) has a negative and significant effect on poverty in Aceh Province. Meanwhile, the minimum wage has a positive and insignificant effect on poverty in Aceh Province. Simultaneously, income inequality, the human development index (HDI), and the minimum wage significantly affect poverty in Aceh Province.

This study aims to analyze the effect of capital expenditure and Human Development Index (HDI) on economic growth in Indonesia. Using time series data from 2011 to 2023 sourced from Indonesia's Central Bureau of Statistics (BPS), this study applies the multiple linear regression method using the Eviews 10 program. The results show that capital expenditure has a positive and significant influence on economic growth, while HDI has a positive but insignificant influence. Simultaneously, these two variables contribute significantly to economic growth with an R-squared value of 60.14%. This study emphasizes the importance of efficient capital expenditure management and efforts to improve the quality of human resources to support inclusive and sustainable economic growth.

The Human Development Index is an indicator of the progress of a region. Achieving development cannot be separated from the quality of people in a region. To see the extent of success in human development, the United Development Program (UNDP) has issued an indicator, namely the Human Development Index (HDI). HDI is a benchmark for achieving higher quality human development. There are three basic dimensions as a reference for measuring the Human Development Index, namely including a long and healthy life, knowledge, and a decent standard of living. This research aims to see the influence of Poverty, Gini Index, and Economic Growth on the Human Development Index in South Aceh Regency 2009 - 2023. The data used in this research is secondary data in the form of a time series taken from the last 15 years sourced from the Agency. South Aceh Regency Statistics Center (BPS) using a quantitative approach. The method used is multiple linear regression analysis. Based on the research results, it can be concluded that poverty has a positive and significant influence on HDI. The Gini Index has a negative and insignificant influence on HDI. Economic Growth has a positive and insignificant influence on HDI in South Aceh Regency 2009-2023.  

This research aims to analyze the influence of economic growth, tax sector state revenue, Human Development Index, and poverty on the corruption perception index during the reform era in Indonesia from 1999 to 2022. Corruption can reduce the productivity of public spending, distort resource allocation, and slow down economic growth.  This study uses multiple linear regression analysis tools on time series data from Indonesia for the years 1999-2022, with the dependent variable being the Corruption Perception Index (CPI), which reflects public perception of the quality of corruption in the country. A higher CPI index value indicates a lower level of corruption. The independent variables in this study are economic growth, tax sector revenue, HDI, and poverty. The research results show that simultaneously, the independent variables have a significant effect on the dependent variable, while partially, the economic growth and HDI variables have a significantly positive effect on the CPI, whereas the tax sector revenue variable has a significantly negative effect. However, the poverty variable has no significant effect on the CPI. The goodness of fit test results indicate that 95% of the influence of the independent variables on the dependent variable can be explained by the model, while 5% is explained by variables outside the model.

The development of digital technology has resulted in significant transformation in various aspects of life, especially in the economic sector. A region's ability to obtain, utilize and process information has a major impact in stimulating increased economic growth. Despite technological advancements, not everyone benefits equally. The purpose of this study is to explore the role of digitalization in driving economic growth in a region, by utilizing secondary data from BPS for the period 2015–2022 using the panel data regression method. The research findings show that for smartphone users, the Human Development Index (HDI) has a significant positive impact on economic growth. The number of internet users has a significant negative impact on economic growth. On the other hand, the workforce shows that there is no significant influence on the economic growth of the province of Java.

Taxes are the largest source of revenue in the structure of Indonesia's state budget (APBN). The revenue will be allocated for state spending, one of which is on education. The education sector is a mandatory spending area amounting to 20% of the total state revenue. This paper aims to identify the role of taxes in supporting inclusive education to improve Indonesia's Human Development Index (HDI). The approach used in this research is qualitative with a literature study method using secondary data sources. The research results show that the increase and decrease in tax revenue affect the size of the education budget due to the dominant contribution of taxes to state revenue. HDI is influenced by indicators such as life expectancy, literacy rate, average years of schooling, and real per capita expenditure, all of which can be improved through inclusive education. Therefore, it can be concluded that if tax revenue increases, the education budget will also increase, and it will be able to fund inclusive education. Inclusive education will drive the increase in Indonesia's HDI. Some of the educational issues that occur include education that is not yet fully inclusive, the low quality of teachers, and the uneven distribution of school facilities and infrastructure. These problems can be resolved if there is significant educational funding, which is also influenced by tax revenue.

This research aims to find out whether HDI and economic growth have an effect on poverty in Pidie Regency, Aceh Province in the 2010-2023 period. The approach in this research is quantitative using multiple linear regression analysis methods. The Aceh Central Bureau of Statistics (BPS) data source uses Time Series data. . The results of this research show that HDI partially has a negative and significant effect on poverty in Pidie Regency, and Economic Growth has a positive and insignificant effect on partial poverty in Pidie Regency. And simultaneously HDI and Economic Growth have a positive and significant effect on poverty in Pidie Regency.    

Empat Lawang Regency, once classified as a disadvantaged region, has made significant progress in improving the welfare of its population. This is reflected in the declining poverty rate and increasing Human Development Index (HDI). However, the region's economic growth, as measured by GRDP and GRDP per capita, lags behind other regions in Sumatera Selatan. This research seeks to pinpoint the key economic sectors driving Empat Lawang Regency's development by employing a combined analysis of LQ, Shift Share, and Tipology Klassen. The analysis results indicate that no sector can be unequivocally classified as a leading sector in Empat Lawang Regency. Nonetheless, several sectors such as agriculture, forestry, fisheries, wholesale and retail trade, also the other sectors exhibit potential for further growth. These findings underscore the importance of targeted policies and investments to stimulate economic growth and enhance the livelihoods of the local population.

The real source of a country's riches and an essential component of its development are its people. We can determine the extent to which human resources are of high quality from the perspectives of the economy, health, and education thanks to the HDI. DKI Jakarta is the province in Indonesia with the highest HDI, while Papua and West Papua have the lowest HDIs. Both provinces get special funding known as special autonomy funds and are recognized as special autonomous areas. Even after Papua was given special autonomy funds twenty years ago, it is still the province in Indonesia with the lowest HDI. Improving the Human Development Index (HDI) mostly depends on spending in the areas of economy, health, and education. This study looks at the impact of spending on the economy, health, and education as well as local government expenditure (DOK) on the HDI. Using secondary data from the Directorate General of Fiscal Balance (DJPK) and the Central Statistics Agency (BPS), panel data regression is the study methodology employed. The study's findings show that DOK has a favorable impact on the HDI, as does spending on the economy, health, and education

This study aims to analyze the influence of GRDP (Gross Regional Domestic Product) and Labor Force Participation Rate (LFPR) on the welfare of the people in East Kutai Regency, with income level as a mediating variable. The identified variables in this research include the level of community welfare, proxied by the Human Development Index (HDI) (Y2) as the dependent variable, while GRDP (X1) and Labor Force Participation Rate (LFPR) (X2) are independent variables, and income level (Y1) serves as a mediating variable. This study utilizes panel data from 2012 to 2022, using Partial Least Square (PLS) analysis.      

This study investigates the impact of social protection expenditure on income inequality and Human Development Index (HDI) across multiple countries from 2000 to 2020. Using panel data regression analysis, the study explores whether higher public social spending on healthcare, education, and social services significantly reduces income inequality, as measured by the Gini coefficient, and enhances HDI. The results indicate a strong positive correlation between social protection spending and both reduced inequality and improved HDI. Specifically, countries with higher social protection expenditure, especially those with social-democratic welfare models, exhibit lower income inequality and higher HDI scores. The analysis also highlights significant country-level differences, revealing that while high-income countries with comprehensive social protection systems tend to perform better in terms of human development, low- and middle-income countries with limited spending face persistent challenges in reducing inequality and improving HDI. Further, the study discusses the mechanisms through which social protection policies influence human development, particularly through improved access to education, healthcare, and social services. The findings suggest that integrating social protection with broader economic policies can lead to sustainable reductions in inequality and improvements in human development outcomes. The study contributes to the existing literature by providing empirical evidence on the role of social protection in fostering inclusive growth and human development, emphasizing the need for more comprehensive and efficient social protection systems, especially in developing countries.

Public welfare is the ultimate goal of every economic development. HDI as an indicator of welfare in Indonesia continues to increase from year to year, but is very volatile. The province with the highest HDI points is DKI Jakarta province and the lowest is Papua Province. This shows that the increase has not occurred significantly and there are still disparities in several provinces in Indonesia. This research aims (1) To analyze  the direct influence of GRDP and minimum wages on poverty in Indonesian provinces in 2018-2022. (2) To analyze the influence of GRDP, minimum wage and poverty directly on HDI in Indonesian provinces in 2018-2022. (3) To analyze the influence of GRDP and minimum wages on HDI indirectly through poverty in Indonesian provinces in 2018-2022. This research uses secondary data obtained from BPS publications during 2018-2022, with a total of 170 observation points. The data analysis technique used is path analysis with the help of EViews 10 software. The results of the study indicate that PDRB has a significant negative direct effect on poverty, Provincial Minimum Wage has a significant positive direct effect on poverty, both PDRB and Provincial Minimum Wage have a significant positive direct effect on the HDI, and poverty has a significant negative direct effect on the HDI. Poverty is not an intervening variable in the relationship between PDRB and the HDI, but it is an intervening variable in the relationship between Provincial Minimum Wage and the HDI. The implications of this research are that successful economic policies must integrate increases in Gross Regional Domestic Product (GRDP) and Minimum Wage as primary strategies to reduce poverty levels and enhance the Human Development Index (HDI) in Indonesian provinces. Significant increases in GRDP contribute to poverty reduction by evenly distributing economic benefits to disadvantaged groups. Meanwhile, strengthened Minimum Wage policies can elevate worker incomes, bolster purchasing power, and improve access to education and healthcare, thereby potentially boosting HDI. Prioritising poverty reduction is crucial for enhancing overall quality of life, thereby creating better conditions for economic growth and social welfare at the provincial level    

Economic development aims to improve the well-being of the population, as reflected in the increase of the Human Development Index (HDI). Although the HDI in the regencies/cities of Bali Province has risen, income disparity persists. Reducing income distribution inequality can be achieved by creating decent job opportunities, lowering unemployment rates, and providing adequate income to ensure a good quality of life for workers. The objectives of this study are (1) To analyse the simultaneous effect of unemployment, economic growth and human development index on income distribution inequality in regencies/cities in Bali Province. (2) To analyse the partial effect of unemployment, economic growth and human development index on income distribution inequality in regencies/municipalities in Bali Province. The data used is secondary data, with 117 observation points. The analysis technique used is panel data regression model technique. The results showed that (1) Unemployment, economic growth and human development index simultaneously affect the inequality of income distribution in regencies/cities in Bali Province. (2) Unemployment and economic growth have a positive effect but not significant on income distribution inequality, while the human development index has a negative and significant effect on income distribution inequality.    

The purpose of this study is to determine the influence of factors that affect the level of public welfare in Balikpapan City in the period 2006-2023. The method used in the study is the quantitative data analysis method and the data analysis method using a path diagram with 4 dimensions of measurement, namely, the Level of Public Welfare measured by the Human Development Index (HDI), the Income Inequality Index measured by the Gini Ratio Index, Economic Growth, Population Growth Rate. The results of this study indicate that Economic Growth has a negative but insignificant effect on Income Disparity (Gini Ratio Index), Population Growth has a negative and significant effect on Income Disparity (Gini Ratio Index), Economic Growth directly has a positive but insignificant effect on the level of population welfare (Human Development Index), Population Growth directly has a negative but insignificant effect on the level of population welfare (Human Development Index), Income Disparity Level (Gini Ratio) has a positive and significant effect on the Level of Community Welfare (HDI) of Balikpapan City, Economic Growth through the Formation of Population Welfare (Gini Ratio Index) has a negative effect on the Level of Community Welfare (HDI) of Balikpapan City and Population Growth through the Formation of Population Welfare (Gini Ratio Index) has a negative effect on the Level of Community Welfare (HDI) of Balikpapan City.

A good country's economy can be seen from the level of prosperity of its people. To see the welfare of society in a country, it can be measured by the Human Development Index (HDI). The level of social welfare between regions indicates that there is inequality between regions. The objects of this research are 9 regencies/cities in Bali Province. The descriptive quantitative method used in this research is the Secondary Data Analysis (ADS) approach. Based on the results of the analysis, it can be concluded that partial economic growth has a positive and significant effect on the welfare of the people in districts/cities in Bali Province. The unemployment rate partially has a positive and significant effect on the welfare of the people in the Regencies/Cities in Bali Province and the poverty rate partially has a positive and insignificant effect on the welfare of the people in the Regencies/Cities in the Province of Bali.

This study aims to determine the Effect of Economic Growth and Inflation and Unemployment Rate on the Human Development Index and Poverty in East Kalimantan Province. Inferential data analysis techniques using Partial Least Squares (PLS). The results of the study indicate that the Human Development Index (HDI) has a significant effect on the unemployment rate in East Kalimantan Province, with a probability value smaller than the specified significance level. There are disparities that need to be considered in development in rural areas to ensure equal opportunities for all residents to achieve a better quality of life. Rural areas still face challenges in access to education and health services, as well as regional disparities in development, which need to be addressed through appropriate and sustainable policies. Assistance programs such as Direct Cash Assistance (BLT), National Health Insurance (JKN), and the Family Hope Program (PKH) have helped reduce the burden on the poor by providing access to basic needs. Efforts to improve the quality of education, health, and infrastructure in rural areas are the main focus to create a more prosperous and independent society. Although there has been progress in poverty alleviation, there are still challenges such as regional inequality, quality of education and health, and economic diversification that need to be addressed. Collaboration between the government, private sector, and civil society is needed to create sustainable and effective solutions to overcome poverty in East Kalimantan. Economic growth, inflation, and unemployment rates are interrelated and significantly affect the Human Development Index and poverty rates in East Kalimantan Province. Therefore, comprehensive and sustainable policies are needed to achieve inclusive and equitable development in this region.