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This study aims to determine the relationship and influence of independent variables, namely investment and human development index, intervening variables, namely economic growth with dependent variables, namely the poverty rate in Balikpapan city in 2010-2023. The tool used in this study is path analysis. The results of this study indicate that investment and HDI are positive and do not have a significant effect on economic growth. While on the poverty rate, investment and HDI variables directly have a significant but positive effect and economic growth variables are negative but do not provide a mediating effect on the relationship between investment and poverty rates and between HDI and poverty rates in Balikpapan city.

Pekalongan City's regional development policy prioritizing increasing human development is a mandate of the Pekalongan City Regional Medium Term Development Plan 2021 - 2016, realizing the achievement of the Sustainable Development Goals (SDG's) agenda as spearheaded by the United Nations Development Program (UNDP) directing regional development as an embodiment of long life and be healthy, lead a productive life, be educated and have a decent and dignified standard of living (UNDP, 2020). Assistance is carried out by realizing the Regional Action Plan document for Increasing the Human Development Index for Pekalongan City for 2024 - 2029. This implementation approach involves action studies as a form of facilitation, analysis of strategic issues and preparation of program priorities based on the direction of the Sustainable Development Goals (SDGs), national policy direction and regional authority.  

The growth of the human population and increased purchasing power drive greater demand for broiler meat, posing challenges for farmers to enhance their productivity and business efficiency. The development of closed-house cages offers a solution to improve production efficiency. This study compares the productivity and financial analysis between the cage and postal models. Utilizing a quantitative descriptive method, the research was conducted over a single rearing period in cages and postal setups at PT Dinamika Megatama Citra (DMC) without any specific treatment. Research parameters encompassed body weight gain, mortality, FCR, harvest weight, and Performance Index. Financial analysis was conducted using indicators such as the R/C ratio, B/C ratio, Break-Even Point (BEP), and Return on Investment (ROI). Results indicate that in cage conditions, mortality stood at 4.07%, FCR at 1.718, average weight at 2.2 kg, and Performance Index at 287.5. Meanwhile, postal cages exhibited higher mortality at 8.79%, FCR at 1.732, average weight at 2.3 kg, and Performance Index at 285.6. In financial analysis, cage systems had a BEP price of Rp 19,726/kg with a unit BEP of 40,616 kg, an R/C ratio of 1.039, a B/C ratio of 0.039, and an ROI of 3.92%. Conversely, postal cages had a BEP price of Rp 19,507/kg with a unit BEP of 39,924 kg, an R/C ratio of 1.05, a B/C ratio of 0.05, and an ROI of 5.09%.

Poverty is not just about difficulties in meeting basic needs, but also involves various dimensions of human life such as health, education, future security, and influential social roles. Some factors that influence poverty include the Gender Development Index (GDI), the Human Development Index (HDI), and Economic Growth as measures of human progress and economic development. In this study, the path analysis method is used, allowing us to identify the direct and indirect impacts of independent variables on dependent variables. Thus, we can understand the complex relationship between various factors in the context of poverty. The information used for this study is sourced from the Central Statistics Agency of Central Kalimantan using secondary information in the form of time series data. The findings of this research show that the gender development index has no influence on the economic growth variable. The human development index also does not affect the economic growth variable. Additionally, the gender development index does not affect the poverty level variable. However, the human development index significantly affects the economic growth variable. Meanwhile, economic growth does not affect the poverty level. Finally, the human development index through economic growth does not have a significant impact on the poverty level.

The city of Surabaya, as one of the cities in East Java Province, is active in the tourism sector. However, for many of them there are still income disparities in this metropolitan city. In tourism, there are several indicators that need to be paid attention to, namely the number of tourist visits, the number of hotels and the GRDP of the tourism sector. These three are appropriate benchmarks in approaching the growth of the tourism industry. Not only that, the human development index is also an important point for measuring the level of human welfare so that large disparities do not occur. This research aims to determine the influence of the growth of the tourism industry and the human development index on income inequality in the city of Surabaya. The type of research used is descriptive quantitative using secondary data obtained from the Department of Culture, Youth and Sports and Tourism of the City of Surabaya and the Central Statistics Agency of the City of Surabaya. The data obtained from 2014 - 2023 was processed using a time series method and then tabulated and analyzed using SPSS version 25. The results obtained from the F test for the two independent variables had a significant effect on income inequality. In the t test, partially the tourism industry growth variable has a positive and significant effect on income inequality, then the human development index variable has a negative and significant effect on income inequality in the city of Surabaya.

Human development is a development process with the aim of being able to have more choices, through a Human Development Index it can be used as a benchmark, especially in income, health and education. The aim of this research is to find out how the Human Development Index (HDI) has developed in South Sumatra in 2012-2022 and to analyze how big the influence of education, poverty and economic growth has been on the Human Development Index (HDI) in case studies in the province of South Sumatra. The table shows that the development of HDI has increased with the medium or medium HDI category during the 2018-2022 period until it was able to achieve the HDI target set by the government. Economic growth has a positive and significant effect on HDI, while education and poverty have a significant negative effect on HDI. The conclusion is that HDI development has increased during 2012-2022, poverty and education have a negative effect, while economic growth has a positive effect on the Human Development Index. Through this research, it is recommended that in government planning policies not only look at achieving the target of increasing economic growth but also the target of increasing human development because economic growth alone is not sufficient to improve the quality of human resources, especially in the aspects of education, health and people's income.

Regional economic development needs to be planned and the benchmark is economic growth. Development in developing countries still prioritizes unemployment and poverty. Development in Indonesia to date still focuses on efforts to reduce the unemployment rate or open up job opportunities to reduce poverty. The level of poverty can be measured through the HDI (Human Development Index) which has three main indicators, namely health indicators, education level and economic indicators. There are many factors that hinder the development of an area, one of which is the high poverty rate. The problems of unemployment and poverty are still major issues that never end. Sidoarjo Regency has a decreasing number of poor people starting from 2021 at 137 people, in 2022 at 125 people and in 2023 at 119 people from a population of 2,238,069 people in 2021, 2,266,533 people in 2022, 1,996,825 people in 2023. The causes of poverty are the large number of children who have dropped out of school, limited public services (schools) which are difficult to reach, difficulty in getting health costs and the difficulty of people getting the necessities of life such as clothing, food and shelter. The aim of making a Study on the Role of the Health Index, Education Index and Purchasing Power Index on the Poverty Level of Sidoarjo Regency for 2010-2023, is to see the contribution of these three indices to changes in poverty levels in Sidoarjo Regency, both directly and indirectly, which will have an impact on change in poverty (number of poor people). It is hoped that this research can be used as consideration for Sidoarjo district in future community development so that they can live prosperously.  

Poverty is an issue that is often discussed by society. This research aims to analyze the influence of the level of open poverty, human development index, and level of education on poverty in North Sumatra Province. Using the panel data regression method, the research results show that the human development index and education level have a significant influence on poverty, while the level of open poverty does not have a significant influence. These findings provide important insights for policy makers in designing more effective and sustainable poverty alleviation programs in North Sumatra.

Poverty is one of the fundamental problems that is of concern to the central government in any country, nationally and internationally. Indonesia is one of the countries that is still trapped in the problem of poverty which has not yet been completely resolved. This research aims to analyze the influence of open unemployment, government expenditure, human development index on the number of poor in Lampung Province. The research data used is secondary data from publications by the Lampung Province Central Statistics Agency. The independent variables in this research are the influence of Open Unemployment and the Human Development Index, while the dependent variable is the Number of Poor People. The analysis technique used is Multiple Regression Analysis with the Ordinary Least Square (OLS) Method. The research results show that Open Unemployment (TPT) research has a negative and insignificant effect on the number of poor people, education level (TP) has a negative and not significant effect on the number of poor people, the minimum wage (UMK) has a significant positive effect on the number of poor people, while the Human Development Index (HDI) has an insignificant negative effect on the number of poor people. The results of the F test, Open Unemployment, Government Expenditures and the Human Development Index have a simultaneous or equally significant positive effect on the Number of Poor People in Lampung Province.      

This study aims to analyze the effect of the Human Development Index and (small) business growth on economic growth in 2014-2024. The independent variable is the influence of the Human Development Index and business growth (small). And the dependent variable is economic growth. This study uses secondary data in the form of a time series, namely a time series for 10 years, namely from 2014-2024. Data obtained from BPS Indonesia. The research method is quantitative with data analysis used by researchers, namely classical assumption tests (normality tests, multicollinearity tests, heteroscedasticity tests, autocorrelation tests), multiple linear regression and statistical tests (determination coefficient tests (R2), t tests and F tests) using eviews-10. The results of partial regression coefficient (t-test) show that the human development index has no effect on economic growth. While Small Business Growth (Micro) Significant effect on economic growth. The results of the F test analysis show that there is a joint and significant influence of the two independent variables, namely analyzing the influence of the Human Development Index and business growth (small) on the dependent variable, namely country growth.

This study aims to analyze the effect of the Human Development Index and (small) business growth on economic growth in 2014-2024. The independent variable is the influence of the Human Development Index and business growth (small). And the dependent variable is economic growth. This study uses secondary data in the form of a time series, namely a time series for 10 years, namely from 2014-2024. Data obtained from BPS Indonesia. The research method is quantitative with data analysis used by researchers, namely classical assumption tests (normality tests, multicollinearity tests, heteroscedasticity tests, autocorrelation tests), multiple linear regression and statistical tests (determination coefficient tests (R2), t tests and F tests) using eviews-10. The results of partial regression coefficient (t-test) show that the human development index has no effect on economic growth. While Small Business Growth (Micro) Significant effect on economic growth. The results of the F test analysis show that there is a joint and significant influence of the two independent variables, namely analyzing the influence of the Human Development Index and business growth (small) on the dependent variable, namely country growth.

Economic growth is essentially the most important aspect in a country. An increase in the quality of life of the community that occurs in an area can mean that the area has continued economic growth. Economic growth can be reflected in changes in GRDP in a region. This research uses eviews analysis 10. Labor Force Participation Rate (TPAK), human development index and poverty are among the Human Resource factors that contribute to the formation of Gross Regional Domestic Product (GRDP) which can encourage Economic growth of a region. The aim of this research is to find out the influence of the level of labor force participation and poverty as seen from the human development index on economic growth in the province of West Papua in 2014-2022. The data used in this research uses time series data for the period 2014-2022, using quantitative descriptive methods with the eviews 10 analysis tool. Independent variables consist of Labor Force Participation Rate (TPAK) as X1, human development index (HDI) as X2 and poverty (k) as X3 and Economic Growth as (Y). The results of this study show that TPAK, HDI and K simultaneously have a positive and insignificant effect.

Poverty is a serious problem in Indonesia, including in North Sumatra. Various factors include the human development index (HDI) and unemployment rate. This research aims to analyze the influence of the Human Development Index (HDI) and unemployment on the poverty rate in North Sumatra using the method multiple linear regression to analyze secondary data obtained from the Central Statistics Agency (BPS) of North Sumatra. The variables used in this research are the HDI and unemployment, while the dependent variable is the poverty level. The results of the research show that the HDI and the unemployment rate have a significant influence on the poverty level. These findings show that to reduce poverty in North Sumatra, efforts are needed to increase the HDI through improving the quality of education, health and living standards of the community by increasing the HDI which provides efforts to prevent poverty from occurring.

This research aims to analyze the influence of the Human Development Index (HDI), Open Unemployment Rate (TPT) and Poverty Rate (TK) on the Rate of Economic Growth on Kalimantan Island in 2014-2023. The independent variables are the Human Development Index (HDI), Open Unemployment Rate (TPT) and Poverty Rate (TK) and the dependent variable is the Economic Growth Rate. This research uses secondary data in the form of a time series, namely a 10 year time series, namely from 2014-2023. Data obtained from BPS Indonesia, and BI. The research method is quantitative with data analysis used by researchers, namely classical assumption tests (normality test, multicollinearity test, heteroscedasticity test, autocorrelation test), multiple linear regression and statistical tests (coefficient of determination test (R2), t test and F test) with using eviews-10. The results of the partial regression coefficient (t test) show that the Human Development Index (HDI) has no effect on the Economic Growth Rate, nor does the Open Unemployment Rate variable have a significant influence on the Open Unemployment Rate variable on the Economic Growth Rate and is in line with the Poverty Rate variable (TK) that there is no significant influence of the Poverty Level variable on the Rate of Economic Growth. The results of the F test analysis show that there is no joint influence on the rate of economic growth on the island of Kalimantan.

Economic growth is the key to successful development and increased prosperity in developing countries like Indonesia. This study uses secondary data from 2013-2023 to analyze the influence of the Human Development Index, Unemployment Rate and GRDP on development. The results show that GRDP and Unemployment Rate do not have a significant effect on the Human Development Index. Therefore, it is important for the authorities to facilitate job seekers in finding work, even if they do not work in Lampung Province.

This research aims to analyze the relationship between Gross Regional Domestic Product (GRDP), unemployment rate, and Human Development Index (HDI) with the poverty rate in Lampung Province during the 2021-2021 period. The data used is secondary data obtained from various official sources. Statistical analysis methods, including correlation and regression analysis, are used to test the relationship between these variables. The research results show that there is a relationship between GRDP, unemployment rate, HDI, and poverty rate in Lampung Province. The implications of these findings are discussed in the context of economic and social development policy at the regional level.    

Poverty is a fundamental problem that is the center of attention of the government in any country. The aim of this research is to analyze the influence of education, unemployment, the Covid-19 pandemic and the human development index on poverty in North Sumatra. The data used in this research is secondary data based on time series available on the official website of the Central Statistics Agency in North Sumatra. This research data processing uses the help of SmartPLS 3 software. The research analysis used in this research is Structural Equation Modeling which shows that the variables education, unemployment, the Covid 19 pandemic and the human development index are exogenous variables and poverty is an endogenous variable. The research results obtained an R-Square value of 0.511 or 51.1%. The large value of the coefficient of determination shows that the independent variables consisting of education, unemployment, the Covid-19 pandemic and the human development index are able to explain the dependent variable, namely the poverty percentage of 51.1%. Meanwhile, the remaining 48.9% is explained by other variables not included in this research model. The human development index variable has a negative and significant effect on poverty of 0.678. For the Covid 19 Pandemic variable, it has a negative and significant effect on poverty of 0.267.

This research aims to evaluate the impact of the relationship between the Human Development Index (HDI) and the unemployment rate on economic growth. The study was conducted by analyzing economic and social data from various countries over a specific period. Regression analysis methods are used to understand the significance of the relationship between HDI, unemployment rate, and economic growth. The results show a strong correlation between HDI and economic growth, as well as a significant influence of the unemployment rate on economic growth. The policy implications of these findings are also discussed to provide guidance in efforts to enhance human development and sustainable economic growth.

All people certainly really want a peaceful and prosperous life, but in reality it is not that easy to get a decent life, there are many factors that become challenges such as the low human development index, very high unemployment rates and the problem of poverty which has mushroomed in various regions. . Poverty is also described as the most complex social problem, so it must always receive special attention from the government. This study uses quantitative methods and uses secondary data obtained from the Central Statistics Agency of South Sumatra Province, using time series data from 2017-2021. The aim of this research is to determine the influence of GRDP and unemployment on HDI in South Sumatra Province. Data analysis was carried out using a multiple linear regression analysis test, the results of which showed that GRDP and unemployment simultaneously had a significant influence on the HDI percentage. Partially, GRDP does not have a significant influence, while the unemployment variable has a significant influence on the Human Development Index in South Sumatra Province in the 2017-2021 period.

The Human Development Index (HDI) is the level of population welfare with indicators including, Education, Health and Income. This research aims to examine the influence of poverty and unemployment levels on the human development index in Lampung Province for 2014-2023. The research methods sourced from the Central Statistics Agency of Lampung Province with multiple regression analysis using Statistics Product for Service Solutions (SPSS) software. The results show that poverty has a significant effect on HDI while unemployment does not have a significant effect on HDI.