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Velva, a kind of frozen dessert, made from fruit that contains nutrients and help the body's metabolic processes as a source of energy. Red dragon fruit (Hylocereus polyrhizus) is used in the production of velva in order to get a good color and Moringa to increase antioxidant activity.  The purpose of this study was to determine the appropriate substitution ratio between velva, dragon fruit, moringa leaf extract, and stabilizer to produce dragon fruit velva with good characteristics, namely high antioxidant and preferred by consumers.  This study used a factorial completely randomized design (CRD).  The factors used were the concentration of Moringa leaves (8, 10, 12 g) and the concentration of the type of stabilizer (CMC 1,26%, cornstarch 1,26%, carrageenan 1,26%).  The best chemical analysis was treatment concentration of carrageenan stabilizer 1,26% with the addition of 8 g Moringa leaf extract with antioxidant activity 16,85%, crude fiber 0.63%, vitamin C 4,33%, reducing sugar 11,83%, total phenolic 13,93mg.GAE/ml and pH 3,5.  Physical analysis with melting power 47.00 minutes/hour, overrun 13,00%, TPT 4˚Brix and TAT 1.14%.  The results of the red dragon fruit velva sensory test with various types of stabilizers and the addition of Moringa leaves, as well as the combination of treatments between the two had no significant effect on color, texture, taste, aroma and overall preference.  The best organoleptic analysis was the P3K1 treatment (concentration of carrageenan stabilizer 1,26% with the addition of 8 g Moringa leaf extract) with a color value of 3.06, taste 2.57, aroma 2.78, texture 3.50 and overall preference 3,42.

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.      

The unemployment situation in West Java remains a serious concern, particularly due to the impacts of the COVID-19 pandemic, technological changes, and industrial restructuring. During the transition period of the COVID-19 pandemic, the Open Unemployment Rate (TPT) in West Java Province decreased, indicating a potential relationship between unemployment rates and economic growth. This study aims to identify and analyze the effect of unemployment on economic growth in West Java using descriptive analysis and quantitative analysis with a multiple linear regression approach. Statistical analysis results show the regression equation Y = 6.170 – 0.088X1 – 0.771X2 + e. This means that if the variables unemployment (X1) and COVID (X2) are zero, economic growth (Y) remains constant at 6.170. Each 1% increase in unemployment reduces economic growth by 0.088%, while each 1% increase in COVID cases reduces economic growth by 0.771%. The F-test simultaneously, with a significance value of 0.000 < 0.05, indicates that the percentage of unemployment and the COVID dummy variable significantly affect economic growth in West Java. With an F value of 0.05, the alternative hypothesis (H1) is accepted, and the null hypothesis (H0) is rejected, indicating that unemployment and COVID variables significantly influence economic growth.      

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.

Economic growth is an indicator of development success. Therefore, the higher the economic growth, the higher the welfare of the community. The success or failure of regional development depends on several indicators, including economic growth which reflects the growth of regional gross domestic product (GDP). In this research, we will examine the influence of the demographic bonus and Open Unemployment Rate on Economic Growth for the 2014-2023 Period. The data used in this research is secondary data, namely data obtained from a second source during the period 2014 to 2023. The type of data used in this research is time series data, namely time series data. Based on the research results, it shows that the independent variables influence Economic Growth (PE) in Lampung Province. Meanwhile, partially, the Demographic Bonus (BD) and Open Unemployment Rate (TPT) variables do not have a positive effect on Economic Growth (PE) in Lampung Province. BD and TPT together influence Economic Growth (PE) in Lampung Province in 2013-2022, using a confidence level of 95% or with an alpha (ɑ) of 0.05.

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 Lampung Province Central Statistics Agency, using data from 2012-2023. The aim of this research is to determine the influence of the Human Development Index and the open unemployment rate on the percentage of poverty in Lampung Province. The results of the multiple linear regression analysis test show that HDI and TPT simultaneously have a significant influence on the percentage of poor people. Likewise, partially HDI has a significant influence on poverty, while TPT has no significant influence on poverty in Lampung Province in the 2012-2023 period.

When people who are able of working cannot find work according to their interests and skills, they have the potential to become unemployed. Unemployment is caused by decreasing job requirement, lack of experience and inadequate skills. Therefore, in this case it is necessary to expand jov vacancies, develop skills and economic growth to combat unemployment. The aim of this research is to find out how poverty and the human development index as two independent variables will influence unemployment in DKI Jakarta. This research is quantitative research using secondary data in the form of time series data for the 2011-2020 period originating from the Central Statistics Agency (BPS) of DKI Jakarta Province. The method used is multiple regression analysis using IBM SPSS 26 software. The research results show that together the HDI and Poverty Level have a significant influence on the Open Unemployment Rate in DKI Jakarta Province in the period 2011-2020.

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.