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This study aims to analyze the influence of the Provincial Minimum Wage (UMP), Poverty Rate (TK), and Unemployment Rate (TPT) on the Human Development Index (HDI) in five provinces of Indonesia categorized as having moderate HDI from 2014 to 2023. The research employs a panel data regression method using the Fixed Effect Model (FEM) approach to capture variations across regions and time.The findings reveal that the UMP has a positive and significant impact on HDI, indicating that higher minimum wages contribute to improvements in human development. In contrast, the TPT negatively and significantly affects HDI, suggesting that higher unemployment rates hinder human development progress. Meanwhile, the TK variable shows no significant effect on HDI, implying that changes in poverty rates during the study period did not directly influence human development levels in these provinces.Furthermore, the results of the regression analysis show that UMP, TK, and TPT simultaneously have a significant impact on HDI, with an overall contribution of 98.65%. The remaining 1.35% is attributed to other factors not included in the research model.These results highlight the importance of policies aimed at increasing minimum wages and reducing unemployment to enhance community welfare and accelerate human development in provinces with moderate HDI. Policymakers are encouraged to design comprehensive strategies that prioritize employment creation and wage improvements as key levers for boosting human development outcomes across regions.

This study aims to analyze the relationship between the open poverty rate (TPT) and the poverty rate in Jambi City from 2014 to 2023. Poverty and poverty are important issues in regional development because they directly impact community welfare. This study employed a quantitative method with a descriptive correlational approach, and data analysis was conducted using the Pearson correlation test. Secondary data were obtained from the Jambi City Central Statistics Agency (BPS). The results of the normality test indicated that the data were normally distributed, making them suitable for analysis using Pearson. The correlation analysis showed a correlation coefficient between the TPT and poverty of 0.049 with a significance level of 0.893, indicating no significant relationship between the two variables. This finding suggests that poverty is not the sole factor determining the poverty rate in Jambi City. Therefore, poverty alleviation requires a multidimensional approach that focuses not only on employment but also includes education, distribution of social assistance, and equitable regional development.

Poverty is a crucial issue for a country. Overcoming poverty requires a comprehensive and sustainable approach that encompasses various sectors.  This study aims to determine the effect of the Open Unemployment Rate (TPT), Gross Regional Domestic Product (PDRB), and Labor Force Participation Rate (TPAK) on the number of poor residents.  The data analysis technique used in this research is OLS (Ordinary Least Squares), utilizing time series data on the Open Unemployment Rate (TPT), Regional Gross Domestic Product (PDRB), Labor Force Participation Rate (TPAK), and poverty from 2002-2023 in North Sumatra Province.  The results of this study indicate that the Open Unemployment Rate (IPT) does not affect poverty, whereas the Gross Regional Domestic Product (PDRB) and the Labor Force Participation Rate (TPAK) have a negative and significant impact on poverty.  Meanwhile, simultaneously, the Open Unemployment Rate (TPT), Regional Gross Domestic Product (PDRB), and Labor Force Participation Rate (TPAK) affect poverty in North Sumatra Province from 2002 to 2023.

One of the socioeconomic problems faced by every region is poverty. Poverty is a social issue that takes place in the long term, so that until now it is still difficult to overcome. The purpose of this study was to determine the effect of Population, Open Unemployment Rate (TPT), and Human Development Index on Poverty Level in North Sumatra Province. This study uses secondary data analysis in the form of time series data which is quantitative in nature, namely data in the form of numbers. The secondary data used in this study are poverty data, population data, open unemployment rate data and human development index data from 2001 to 2021. These data were obtained from the North Sumatra in Figures (SUDA) document from 2001 to 2021. The results of this study prove that population has a significant effect on the poverty rate of North Sumatra Province, the open unemployment rate variable has no significant effect on the poverty rate of North Sumatra Province, the human development index variable has no significant effect on the poverty rate of North Sumatra Province. Simultaneously, population, open unemployment rate (TPT), and human development index have a significant effect on the poverty rate in North Sumatra province.

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.

Vocational School is a level of secondary education which specifically prepares its graduates to be ready to work. Vocational school graduates are expected to be able to be absorbed and play a big role in the world of work. However, in reality there are still many vocational school graduates who have not been fully absorbed into the world of work. Based on data from the Central Statistics Agency (BPS), the Open Unemployment Rate (TPT) for vocational school graduates in Indonesia until November 2022 reached 11.41%, the highest among graduates at other levels of education. The high unemployment rate for vocational school graduates may be related to difficulties in determining career choices. The aim of the PkM activities at SMKN 1 Karanganyar is to help SMKN 1 Karanganyar students optimize their potential so that whatever their career goals are in the future will be achieved. Through this PkM activity, students at SMKN 1 Karanganyar are expected to be able to actualize themselves and align their potential regardless of the choices they make after graduating from SMKN 1 Karanganyar. The service method is carried out using educational methods about education, namely providing knowledge about the meaning of career planning, the benefits of career planning, the importance of career planning, tips for career success along with examples of career planning. Apart from this, training is also provided in making career planning as well as information on how to make a good job application letter, how to make an attractive CV, and tips on how to face job interviews and an introduction to job selection tests. The results of the service increase the knowledge of SMKN 1 Karanganyar students in terms of the world of work and education after graduating from school and can make good career plans for themselves.  

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.

Penulisan jurnal ini bertujuan untuk mengeksplorasi pengaruh variabel IPM, jumlah penduduk, dan pengangguran terbuka terhadap tingkat kemiskinan di Kabupaten Seruyan. Penelitian ini dilakukan dengan menggunakan metode pendekatan kuantitatif, di mana data sekunder diperoleh dari Badan Pusat Statistik (BPS) dan digunakan sebagai dokumentasi penelitian. Regresi linier berganda pada data deret waktu adalah metode statistik yang digunakan untuk menilai dampak simultan dan parsial dari faktor independen terhadap variabel dependen. Untuk analisis data, digunakan Excel dan Eviews 12. Berdasarkan kesimpulan penelitian ini, tingkat kemiskinan di Kabupaten Seruyan dipengaruhi secara negatif dan signifikan oleh indeks pembangunan manusia dan jumlah penduduk di wilayah Seruyan. Tingkat pengangguran terbuka, di sisi lain, tidak memiliki dampak yang terlihat pada kemiskinan. Pada saat yang sama, variabel Ipm,tingkat penganguran terbuka,jumlah penduduk berpengaruh secara bersama -sama terhadap kemiskinan di kabupaten seruyan

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.

The textile and textile products (TPT) industry in Indonesia still has a lot of problems, one of which is the problem of raw materials which are considered to be unable to compete with the same material from importation sources. This requires the company continue to strive to increase productivity and cost efficiency to mitigate the increase in prices of raw materials charged to consumers. One effort that can be done by the company is to improve the efficiency of the cost of raw material inventory. The company must be able to plan and control the company's raw material inventory to support the effectiveness of its raw material costs. By having good planning and control, the company will avoid the problem of excess and lack of raw material inventory in carrying out production activities. This study aims to determine the application of the Justintime system at PT Bintang Baru Sentosa in increasing the efficiency of the company's raw material inventory costs. The type of research is quantitative qualitative research with a case study approach. Data sources obtained from primary data and secondary data. The methods used in this study include: interviews, observation, and documentation studies.The results of the study show that using Justintime in controlling raw material inventories has cost efficiencies of Rp18.418.185,- for 75/72 F DTY and 150/48 F DTY with a cost efficiency level of 75%.  Keyword:Raw Materials, Inventories, Just.intime (JIT), Cost Efficiency