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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.