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Musi Rawas Utara Regency is categorized as an underdeveloped, frontier, and outermost (3T) region that still faces serious challenges in human development, particularly within the education dimension. Although the Human Development Index (HDI) indicates an upward trend, the School Enrollment Rate (SER) and the mean years of schooling at the secondary education level remain relatively low and lag behind other regions. This condition is influenced by limited access to secondary education, household economic vulnerability, and disparities in the quality and distribution of educators in remote areas. This policy paper aims to analyze secondary education issues as a primary obstacle to increasing the HDI of Musi Rawas Utara Regency and to formulate effective and sustainable policy alternatives. The method used is a qualitative descriptive analysis through a literature study, utilizing data from the Central Bureau of Statistics (BPS), regional planning documents, as well as relevant national regulations and policies. The analysis was conducted using a SWOT approach to identify the strengths, weaknesses, opportunities, and threats of the regional education policy. The results of the study show that improving the HDI requires integrated, affirmative, and region-based education policies. Three main policy alternatives recommended include expanding and equalizing access to secondary education, strengthening educational assistance and social protection for vulnerable families, and sustainably distributing and improving teacher quality. The implementation of these policies is expected to increase the SER, extend the mean years of schooling, and strengthen the quality of human resources as a foundation for sustainable development in Musi Rawas Utara Regency.

One key measure of a region's economic growth is the employment rate, as it reflects the ability of the economy to absorb labor and improve community welfare. In Jambi Province, employment opportunities are influenced by several factors, including Gross Regional Domestic Product (GRDP), population growth, and the Human Development Index (HDI). This study aims to analyze the effects of GRDP, population growth, and HDI on employment growth rates across regencies and cities in Jambi Province. The research employs a quantitative approach using panel data regression analysis covering 11 regencies and cities during the period 2017–2023. The findings indicate that GRDP growth, population growth, and HDI simultaneously influence employment levels. Partially, population growth and HDI have significant effects on employment, indicating that improvements in human development and demographic dynamics contribute to labor absorption. Meanwhile, economic growth, as measured by GRDP, has a relatively small negative effect on employment. This suggests that economic expansion does not always generate proportional employment opportunities, possibly due to structural changes and technological developments. Therefore, policies aimed at improving human capital and labor market conditions are essential to support sustainable employment growth in Jambi Province.

This study examines the relationship between the Human Development Index (HDI) and population size with economic growth in North Sumatra Province during 2010-2025 using multiple linear regression based on secondary data. The results indicate that both variables are jointly associated within the model, although they show different directions when observed individually. Population size tends to move in line with economic growth, while HDI shows an opposite tendency. These findings suggest that improvements in human capital have not yet been fully reflected in productive economic activities in the region.

This study analyzes the influence of good governance on urban development performance in Surabaya during 2019-2023 using a quantitative descriptive approach and secondary data from BPS and local government. Good governance is measured by SPBE, while development performance is measured by HDI, economic growth, and poverty. The results show improved governance with a satisfactory SPBE index and positive development trends, including increasing HDI, economic recovery after 2020, and declining poverty after the pandemic. The findings indicate that good governance positively affects development performance by improving policy effectiveness, public services, and supporting economic and social recovery.

This study aims to analyze how human development governance is implemented by the Government of South Sulawesi Province in reducing regional disparities, identify institutional factors influencing implementation quality, and examine its implications for human development outcomes. The study employs a qualitative approach using a case study design. Data were collected through interviews with key informants from the Regional Development Planning Agency (Bappeda) and relevant Regional Apparatus Organizations, analysis of regional planning documents such as RPJMD and RKPD, and statistical data from the Central Bureau of Statistics related to the Human Development Index (HDI), poverty, and employment. Data were analyzed thematically using triangulation to ensure validity of findings. The results show that the Human Development Index has been positioned as a key performance indicator in regional development planning documents and prioritized in education and health sector policies. Although overall HDI achievement in South Sulawesi is categorized as high, significant disparities remain across regencies and municipalities, particularly in education and standard of living. A poverty rate of 8.06 percent and the increasing trend of the Gini Ratio indicate that distribution of welfare has not been fully equitable. Furthermore, the dominance of the informal sector in the employment structure reflects challenges related to job quality, income stability, and limited social protection coverage. These findings suggest that the main challenge of human development in South Sulawesi lies not only in improving aggregate indicators but also in strengthening bureaucratic capacity, cross-sectoral coordination, and policy implementation consistency to ensure more inclusive and equitable development across regions.

The purpose of this study was to determine and analyze the effect of wage levels, economic growth, and the Human Development Index (HDI) on income inequality through labor absorption in the Districts/Cities of Jambi Province from 2020-2024. The research method used is a quantitative descriptive analysis using panel data regression with the Fixed Effect Model approach.  The analysis method used Eviews 12. The results showed of that partially, income inequality in the Districts/Cities of Jambi Province is significant positive influenced by the wage level variable, while economic growth does not have a significant effect on income inequality. In addition, the Human Development Index (HDI) has a significant negative effect on income inequality. This implies that wage increases are actually followed by in income inequality. Meanwhile, economic growth has not been able to provide a broad income redistribution effect. Conversely, improving the quality of human development proves to be the most effective factor, as it is capable of significant reducing inequalirt levels. Simultaneously, the results show that the variables of wage levels, economic growth, and the Human Development Index (HDI) collectively have a significant influence on income inequality in Districts/Cities of Jambi Province.

This research aims to: 1) examine the development of the Human Development Index (HDI), Labor Force Participation Rate (LFPR), population size, economic growth, and the poverty gap index in the regencies/cities of Jambi Province from 2020 to 2024; and 2) analyze the influence of the Human Development Index, Labor Force Participation Rate, population size, and economic growth on the poverty gap index in the regencies/cities of Jambi Province. The research method employed is descriptive quantitative. The analytical tool used is Panel Data Regression through the Fixed Effect Model (FEM) approach, processed with EViews 12 software. The results show that the Human Development Index, population size, and economic growth have a significant influence on the poverty gap index in the regencies/cities of Jambi Province during the 2020-2024 period. Conversely, the LFPR does not have a significant effect on the poverty gap index in the region during the same period. These findings imply the importance of strengthening human resource quality through HDI improvement and more inclusive economic growth policies in Jambi Province. Furthermore, the government needs to evaluate the quality of available employment, as the high Labor Force Participation Rate (LFPR) has not yet been able to significantly reduce the depth of poverty.

This study examines the impact of human resource quality, as measured by indicators from the Human Development Index (HDI), on economic growth in Denpasar City, Bali. This study utilizes quantitative secondary data collected from the Central Statistics Agency (BPS) for the period 2013 to 2021. This data includes a new method for calculating average years of schooling, life expectancy at birth, per capita expenditure, and economic growth. This study uses panel data regression from five provinces in Denpasar City, Bali, applying classical assumption tests, hypothesis tests, and coefficients of determination. Individually, education level has a significant and negative effect on economic growth in Denpasar City, Bali. Health does not show a significant and negative effect on economic growth in Denpasar City, Bali. While economics has a significant and positive effect on economic growth in Denpasar City, Bali. All three independent variables simultaneously have a significant impact on economic growth in Denpasar City, Bali. The most influential variable is economics.

Unemployment is a socio-economic problem that can threaten the stability of the Indonesian economy. This study analyzes the effect of minimum wages, exports, foreign investment, and the human development index (HDI) on the unemployment raefrom 1990 to 2023. Using the Ordinary Least Square (OLS) multiple linear regression estimation method, to correct bias in the estimation, the Newey-West HAC standard errors approach is used. Minimum wages and foreign investment have a significant negative effect on the open unemployment rate, confirming that wage increases can boost productivity, foreign investment creates direct jobs through the construction of production facilities and economic multiplier effects in supporting sectors. The most surprising finding of the HDI which has a positive effect and exports which are proven to be insignificant on the unemployment rate, this shows that human capital formation is not in line with existing job opportunities due to rapid technological changes, as well as export-increasing policies which focus more on capital intensity. The study provides important implications for policymakers, maintaining and optimizing minimum wage increases and foreign investment in a measurable manner because they have proven effective in reducing unemployment rates. Reorienting export strategies policy from capital-intensive to labor-intensive, increasing the human development index adjusted to technological developments, especially in the business and industrial world.