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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.

Population growth in Indonesia continues to increase every year. If the rate of population growth in Indonesia is currently stagnant. It is estimated that Indonesia's population will double every 5 years. The increase in population has an impact on issues of food security, meeting energy needs, environmental control, and the low level of Indonesia's Human Development Index (HDI). Meanwhile, in the health sector, the increase in population also has an impact on the high Maternal Mortality Rate (MMR). The aim of the research was to determine the relationship between maternal knowledge and the use of injectable contraceptives for 1 month at the Lahusa South Nias Community Health Center in 2023.The type of research carried out was Descriptive Analytical with a cross sectional approach, the sample in the study was 43 people using a Random Sampling System. The data collected in the research is primary data, namely data obtained directly from respondents. The data analysis used is chi square The results of the cross-tabulation research showed that the majority of mothers' knowledge was good in using contraceptives as many as 12 people (92.3%) with Chi-Square showing a p value of 0.000. So Ho is rejected and Ha is accepted, which means there is a relationship between the mother's knowledge and the use of injectable contraceptives for 1 month at the Lahusa Health Center, South Nias in 2023. The conclusion is that it is hoped that providing a 1-month injectable contraceptive will make it easier and reduce the costs of carrying out contraception at the Lahusa South Nias Community Health Center in 2023.

Data registered at the Central Bureau of Statistics (BPS) from 2011 to 2022 were used for this study. The poverty rate and human development index (HDI) are used as independent variables against the dependent variable. To determine how much influence the independent variables have on the Linear Probability Model (LPM) regression coefficient, the data was used with the t-test, F-test, and the coefficient of determination and model fixity by performing the LPM model. Furthermore, the F test included HDI and poverty rate, which were measured through the test. The results showed that the human development index has a negative and insignificant impact on the poverty rate of Palangkaraya City, while unemployment has a positive and significant impact.

This study aims to analyze the impact of the Human Development Index (HDI), inflation, and unemployment on poverty alleviation efforts in Indonesia. Poverty in Indonesia, affecting 24% of the total population, remains a serious issue in economic development despite various efforts by the government. This study employs a quantitative method with time series data analysis from 2015 to 2023. Data were obtained from the Central Bureau of Statistics (BPS) and the Coordinating Ministry for Economic Affairs of the Republic of Indonesia. The statistical tests used include descriptive analysis, classical assumption tests (multicollinearity, autocorrelation, heteroscedasticity, and normality), coefficient of determination test, and multiple linear regression analysis. The results show that the variables HDI, inflation, and unemployment have a significant impact on poverty levels. The coefficient of determination (R²) test indicates that 70.9% of the variation in poverty levels can be explained by these three independent variables. The partial hypothesis test (t-test) reveals that unemployment has the most significant impact on poverty compared to HDI and inflation. From this study, it can be concluded that improving HDI, controlling inflation, and reducing unemployment are crucial factors in poverty alleviation efforts in Indonesia. Therefore, a comprehensive and integrated approach from the government, private sector, and civil society is necessary to address poverty issues and enhance social welfare in Indonesia.  

This research investigates the implications of the Human Development Index (HDI) and unemployment rate on a country's economic growth. Using empirical data and sophisticated analytical methods, this research evaluates the relationship between HDI, unemployment rate, and economic growth dynamics. We use a variety of econometric techniques to understand the complex interactions among these factors. It is hoped that the findings from this research will provide a deeper view of the factors that influence economic growth, enabling the formulation of more effective policies in terms of human development and unemployment reduction strategies.  

This research aims to examine the effect of Average Years of Schooling (RLS), Human Development Index (HDI), and Open Unemployment Rate (TPT) on economic growth in East Java cities during the pre-pandemic years (2017-2019) and during the pandemic years (2020-2021). This study uses quantitative analysis techniques The tools used in this study are normality test, multicollinearity test, and multiple linear analysis. The results of this study indicate that before the pandemic the variables of Average Years of Schooling (RLS), Human Development Index (HDI) and Open Unemployment Rate (TPT) had a significant effect on econom Operating Expenses Operating Income Operating Expenses Operating Income Operating Expenses Operating Income ic growth in East Java cities while during the pandemic experienced a very significant change, namely Average Years of Schooling (RLS), Human Development Index (HDI) and Open Unemployment Rate (TPT) had no significant effect on economic growth in East Java cities.

Poverty is a serious problem that is always faced by a country that must be overcome immediately. In addition to being a problem, poverty is also a benchmark for socioeconomic conditions in measuring the success of development carried out by the government in a region / region. On the other hand, the Human Development Index (HDI) is one of the important indicators to measure success in efforts to build the quality of human life, and has an important impact on economic growth. Economic growth is the spearhead considering the correlation between HDI and poverty. This research was conducted to determine the influence of the human development index variable and poverty as the independent variable on economic growth in East Java as the dependent variable. The analysis used is quantitative analysis with multiple regression analysis methods in data with 2021 data and cross section data from 37 districts/cities in East Java and the conclusion is that all the independent variables used in this research have a significant effect on the amount of economic growth in East Java. either simultaneously or partially.

The aim of this research is to analyze the determinants of poverty, including economic growth, human development index (HDI), and Gini index. in West Java province 2008-2022. The analytical method used in this research is multiple linear regression analysis. The data used in this research is secondary data and is a form of time series data. Based on the results of multiple linear analysis, economic growth has a partial positive and insignificant effect on the level of poverty in West Java province, while HDI has a partial negative and insignificant effect on poverty in West Java province and the Gini index has a partial negative and significant effect on poverty in West Java province. Simultaneously, economic growth, HDI and Gini index have a significant effect on poverty levels.

This research aims to analyze the influence of GDP per capita, poverty, Gini Index, and Economic Growth Rate on the Human Development Index (HDI) in East Java Province during the 2013-2022 period. The analytical method used is multiple linear regression using secondary data. The results of the analysis show that partially, GDP per capita has a positive and significant effect on HDI, while the Growth Rate and Gini Index have a negative and insignificant effect on HDI in East Java Province. conclusion provides a comprehensive picture of the factors that influence HDI in the region, and the implications can be used to support development policy decision making in East Java Province.

The purpose of this study is to analyze the effect of government spending on education and health on the Human Development Index in the border areas of North Sulawesi province in the last eleven years. This study uses secondary data taken from the Central Bureau of Statistics of North Sulawesi and the Directorate General of Financial Balance for the period 2011 – 2021. The analysis used was multiple regression analysis of panel data that combined the data of four districts using a panel data analysis model on the eviews application with data collection of Health, Education and Human Growth Index. Regression testing shows Y = 63.9 + 2.9 X1 + 6.47X2. In the T test, it explains that the Education variable has a significant influence on HDI and the results of the Health variable have a significant influence on HDI, the amount of government spending on education and health can be seen from the R-square of 0.96, meaning that X1 and X2 have a significant influence on Y by 96 percent and the rest by other factors.

Islamic Human Development Index dalam penelitian ini digunakan untuk mengukur kesejahteraan daerah berdasarkan Maqashid Syariah. I-HDI mengukur kesejahteraan daerah yang mencakup kesejahteraan material maupun kesejahteraan non material dengan lima perlindungan Maqashid Syariah, yaitu perlindungan agama (ad-Dien), perlindungan jiwa (an-Nafs), perlindungan akal (al-‘Aql), perlindungan keturunan (an-Nasl) dan perlindungan harta (al-ma’al). Penelitian ini menggunakan penelitian kuantitatif. Penelitian ini dilakukan pada tiga provinsi yang berbeda yaitu Provinsi Aceh, Provinsi Bengkulu dan Provinsi Sumatera Barat. Tujuan dilakukan penelitian ini adalah untuk menganalisis index pencapaian pembangunan manusia di Provinsi Aceh, Provinsi Bengkulu dan Provinsi Sumatera Barat yang dilakukan dengan metode perhitungan I-HDI. Hasil penelitian menunjukkan bahwa provinsi Aceh, Bengkulu dan Sumatera Barat dikategorikan kedalam status pembangunan I-HDI yang rendah melalui perhitungan I-HDI.

Poverty is a condition where people are unable to meet their basic needs. Poverty can be said to be a fairly complicated matter that is being experienced by various countries in the world, especially a developing country like Indonesia. Poverty can be used as a measuring tool for socio-economic conditions in assessing the success of development carried out by the government in an area. Various impacts that can arise from the increase or lack of handling of the poverty rate include a decrease in the level of social welfare, an increase in the crime rate, a decrease in the level of public health, a decrease in the quality of education and there are still many social problems that will arise as a result of this poverty. The poverty rate can be influenced by various factors including GRDP (Gross Regional Domestic Product), HDI (Human Development Index) and TPT (Open Unemployment Rate). This study examines the effect of GRDP, HDI and TPT on poverty in Central Java Province in 2002-2021. The purpose of this study is expected to be able to analyze how and how much influence GRDP, HDI and TPT have on poverty in Central Java Province, so that it is hoped that later this can be used as a basis for determining policies to overcome poverty in Central Java Province. The data used in this study is secondary data obtained through the Central Bureau of Statistics (BPS). The method of analysis in this study is the time series data analysis method of estimating the ECM model with the help of Eviews 10. The results show that the relationship between GRDP, HDI and TPT has a significant effect on the poverty rate in Central Java Province.

The purpose of this study is to identify and analyze the impact of economic growth, unemployment and the Human Development Index on poverty levels in Central Kalimantan. Survey data is a quantitative research method using a descriptive data approach and can be obtained from search engines such as BPS and other online data providers. There is a correlation between the Human Development Index (IPM) and the poverty rate in Central Kalimantan Province which shows that the poverty rate increases with every increase in the HDI. Estimates for other causes are constant. In addition, to reduce unemployment through vocational training programs, increase the transfer of personal wealth or human resources needed to build infrastructure to increase employment and provide them with social support    

Poverty is a serious problem for all countries, both developed and developing. The purpose of this study is to determine the impact of his GRDP, HDI and unemployment rate on poverty rate in Central Kalimantan from 2013 to 2022. The analytical tool used in this study is multiple regression analysis). The data used are time series and secondary data obtained from the Kalimantan Central Statistical Office (BPS) website Middle. The results of this study show that independent variables have a significant impact on poverty in Central Kalimantan. That is, the variables GRDP, Ipm, Unemployment, HDI and Unemployment variables have a negative impact on poverty in Central Kalimantan. The variables have a negative impact on poverty in Central Kalimantan.

This study aims to update our knowledge of learning literature about the factors that influence poverty and its relation to smart city development. The data collection technique uses a secondary data approach with sources from BPS Barito Timur. This research focuses on how the independent variables affect the dependent variable either partially (single) or simultaneously (together) in the context of smart city development using Excel and the Eviews application 12. The results obtained based on this research simultaneously have a relevant or influential impact on economic growth, population, unemployment, and HDI and how these factors relate to innovative city development. In addition, the positive economic growth achieved individually affects poverty. The unemployment rate and the HDI negatively impact the poverty threshold, which can be addressed through intelligent city development initiatives.                                                          

Various factors can influence a country's economic growth, among which is the availability of manpower. The substantial availability of human resources in a country can serve as a catalyst for the progress of Indonesia's economy. This research aims to determine the influence of the Human Development Index on the economic growth of Bali Province during the period of 2018-2022. The research methodology employed is quantitative, involving the gathering of data from the Central Bureau of Statistics (BPS) and a literature review. In this study, the dependent variable is Economic Growth, while the independent variable is the Human Development Index (HDI). The research findings reveal that the HDI has no significant impact on economic growth.

Poverty is a complex problem that is still difficult to solve in almost all regions of Indonesia. Poverty is a measure of negative social conditions arising from increasing poverty. West Java is one of the areas that has a relatively high poverty rate and is increasing every year. It uses a panel data model with an estimated fixed effect model for 9 cities from 2017 to 2021. The purpose of this research is to analyze how and how much unemployment and HDI affect the poverty in West Java province. The data used is secondary data obtained from the Central Statistics Agency (BPS) which is processed. The results state that partially and simultaneously the unemployment variable and the human development index do not affect poverty.

The Human Development Index (HDI) is a comparative measure of life expectancy, literacy, education and standard of living. HDI explains how the population can access development outcomes in obtaining income, health, education, and so on.but in Indonesia even in Banten itself it is not spared from problems such as poverty and unemployment. The purpose of this study is to analyze how and how much poverty and open unemployment rates affect the human development index in provincial districts and cities in the period from 2018 to 2021. This research uses quantitative research using panel data method.The purpose of this study is to analyze how and how much poverty and open unemployment rates affect the human development index in provincial districts and cities in the period from 2018 to 2021. This research uses quantitative research using panel data method.

This study was compiled to find out the results of an analysis of the factors that influence the human development index in DKI Jakarta Province for the 2017-2021 period. The human development index explains how people can access development outcomes in terms of income, health, education, and so on. HDI is based on three basic dimensions which include: 1. Long and healthy life (a long and healthy life); 2. Knowledge; 3. Decent standard of living. The purpose of this study is to analyze the components of each dimension that underlies the human development index, such as the Morbidity factor which is an extension of the dimensions of longevity and healthy life, the Net Enrollment Rate (APM) factor which is an extension of the education dimension, and the open unemployment rate factor. which is an extension of the dimension of a decent standard of living. These three components are used as independent variables to analyze their influence on the human development index in the DKI Jakarta province for the 2017-2021 period. This study is also used to rank the components that have the most influence to those that have the least impact on the HDI for DKI Jakarta province for the 2017-2021 period. This study uses Eviews-10 with time series data sourced from the DKI Jakarta Central Statistics Agency (BPS) web for the period 2017-2021. The research method used is the VECM (Vector Error Correction Model) which functions as an approach to predict long-term and short-term relationships in one time series data to other time series data. The results of this study say that the TPT variable (open unemployment rate), Morbidity Rate, and Net Participation Rate (APM) only make a small contribution to the Human Development Index in districts/municipalities in the Province of Jakarta. In the analysis results of the f test and t partial test, only two variables namely TPT (open unemployment rate) and morbidity have an influence on HDI. Meanwhile, the APM variable (pure enrollment rate) has no effect on HDI.

Based on the fundamental aspects of people's living standards, the measure of progress in human development is called the Human Development Index. As the basis for the development structure of a region, the Human Development Index (HDI) is the most significant benchmark or parameter. The purpose of this study is undoubtedly to ascertain whether poverty in DKI Jakarta Province is influenced by the Human Development Index (IPM) variable. To achieve the research objectives, tests were conducted using simple regression analysis and quantitative techniques. The test results show that poverty in DKI Jakarta Province is significantly affected by the Human Development Index (HDI) because the significance value is less than 0.05. Because the value of determination, or R2, is close to 1, and some of the other influence values are influenced by other variables that have not been analyzed or researched, the value of the results of the Variable Human Development Index (HDI) test has a strong positive influence on poverty in DKI Jakarta Province.