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Vocational High School (SMK) students' lack of preparation for their future often contributes to the high unemployment rate among vocational graduates. This Community Service (PKM) activity aims to implement the POAC (Planning, Organizing, Implementing, and Controlling) management function as a framework for SMK Sasmita Jaya 2 students to manage their career and academic planning more systematically and purposefully. The methods used include outreach, participatory discussions, and mentoring in utilizing professional digital platforms to support job readiness and self-development. The activity results indicate an increase in student awareness in setting clearer, more realistic, and measurable post-graduation goals. The implementation of the POAC strategy has been proven to help students transform intentions into concrete steps through the development of a focused and sustainable action plan. In addition, students are able to develop a more structured career roadmap based on their interests and competencies, and increase their confidence in facing job selection and further education. This program also encourages collaboration with industry and alumni to broaden students' horizons and future career opportunities.

The Labor-Intensive Housing Program is one of the Surabaya City Government’s policies aimed at reducing poverty and unemployment through labor-intensive community empowerment. This study aims to describe and analyze the implementation of the Labor-Intensive Housing Program (RPK) at the Pitstop business unit in Lidah Kulon Village, Lakarsantri Subdistrict, Surabaya City. This study employs a qualitative method with a descriptive approach, utilizing Van Meter and Van’s policy implementation theory. Primary data were collected through interviews and observations, while secondary data were derived from official documents and relevant publications. The results showed that the implementation of the Pitstop Labor Intensive Housing Program has not yet been optimal. In terms of policy standards and objectives, the program’s goals have been clearly defined but have not yet been fully achieved. Regarding resources, the availability of facilities and funding is adequate, but there are still limitations in human resources, particularly skilled technicians in the automotive repair field. Inter organizational communication has taken place but has not been intensive enough to support business sustainability. Characteristics of the implementing agents indicate that the structure of the Labor-Intensive Housing team has been clearly defined; however, implementation in the field has not been optimal due to weak coordination and communication. Economic, social, and political conditions-such as a less-than-strategic business location and high competition from similar businesses-have also contributed to the low number of customers. Meanwhile, the disposition of the implementers demonstrates a positive attitude in supporting the Labor-Intensive Housing program. The Labor-Intensive Housing Program must be supported by professional mechanics through education, certification, and collaboration with the private sector and training institutions to ensure the quality of services. In addition, building public trust, coordination among stakeholders, and intensive support through monitoring and evaluation are key to the success and sustainability of the Labor-Intensive Housing Program.

This study aims to analyze the factors that influence economic growth. Economic growth is an important indicator used to measure the success of a country's development because it reflects the increasing capacity of an economy to produce goods and services. This research uses a descriptive approach by examining several factors affecting economic growth, including investment, labor, unemployment, and international trade. The results show that investment plays a significant role in increasing production capacity and encouraging the development of industry and infrastructure. Labor also contributes to economic productivity through the production of goods and services. On the other hand, a high unemployment rate can hinder economic growth because part of the labor force is not absorbed into productive activities. In addition, international trade through export and import activities can support economic growth by expanding markets for domestic products and fulfilling the need for raw materials and technology in the production process. Therefore, economic development policies need to consider these factors to achieve sustainable economic growth and improve public welfare

This research addresses a paradoxical phenomenon in Lampung Province's Micro and Small Industry (MSI) sector (2018-2022), where high technology adoption is accompanied by declining business units and income inequality. The objective is to evaluate technical efficiency and productivity changes across 15 regencies/cities using the Variable Returns to Scale (VRS) Data Envelopment Analysis (DEA) model and the Malmquist Productivity Index (MPI). Results show an average technical efficiency of 0.838, indicating a 16.2% room for output improvement. Mesuji Regency serves as the benchmark with perfect efficiency. The main inefficiency stems from labor slack (averaging 3,458 people per region), reflecting disguised unemployment. The Malmquist index records an asymmetric productivity growth of 2.1% annually, entirely driven by technological progress (3.5%), while internal managerial efficiency contracted (-1.4%). Consequently, technology adoption requires structural intervention; regional governments must prioritize vocational training and basic managerial strengthening to reduce labor slack and break the MSI inefficiency cycle.

This study examine the reflection of Native american economic conditions in the 1990s as potrayed in Sherman alexie’s short story This is What It Means to say Phoenix, Arizona. As literary works often reflect social realities, this study focuses on economic struggles are represented through the experiences of the main characters, Victor and Thomas. The research employs a qualitative method with a sociology of literature approach using a Marxist perspective. The data are analyzed through a narrative examination of key events and character experiences related to economic conditions. The findings reveal tha the short story reflects persistent economic issues such as poverty, unemployment, and limited access to finansial resources, whic are rooted in historical inequality and structural marginalization. These conditions, as experienced by the characters, represent broader socio-economic realities faced by native American communities living in reservations. Therefore, this study highlights tha literary works funcition not only as artistic expressions but also as representations of social and economic realities, particulalry those of marginalized groups.

This research is motivated by the problem of the open unemployment rate in Maluku Province which is still fluctuating, where the influence of human capital indicators such as the Average Years of Schooling and the Gross Enrollment Rate of Senior High Schools as well as economic policies such as the Provincial Minimum Wage often show results inconsistent with theory, thus requiring further empirical studies to determine their influence in the region. The purpose of this study is to analyze and determine the partial and simultaneous effects of the average years of schooling, the gross enrollment rate of senior high schools, and the provincial minimum wage on the open unemployment rate in Maluku Province. The method used is quantitative with secondary data in the form of time series from 2015 to 2024 sourced from the Central Statistics Agency (BPS) of Maluku Province, and analyzed using multiple linear regression techniques. The results show that the average years of schooling have a negative and significant effect, while the gross enrollment rate of senior high schools and the provincial minimum wage each have a positive insignificant and negative insignificant effect on the open unemployment rate. Simultaneously, the three variables also have no significant effect. The implications of these findings confirm that increasing the average length of schooling is a key factor in reducing unemployment, but policies related to minimum wages and high school participation need to be reviewed and combined with other policies to be more effective in addressing unemployment in Maluku Province.  

Unemployment is a socio-economic problem that can threaten the stability of the Indonesian economy. This study analyzes the effect of minimum wages, exports, foreign investment, and the human development index (HDI) on the unemployment raefrom 1990 to 2023. Using the Ordinary Least Square (OLS) multiple linear regression estimation method, to correct bias in the estimation, the Newey-West HAC standard errors approach is used. Minimum wages and foreign investment have a significant negative effect on the open unemployment rate, confirming that wage increases can boost productivity, foreign investment creates direct jobs through the construction of production facilities and economic multiplier effects in supporting sectors. The most surprising finding of the HDI which has a positive effect and exports which are proven to be insignificant on the unemployment rate, this shows that human capital formation is not in line with existing job opportunities due to rapid technological changes, as well as export-increasing policies which focus more on capital intensity. The study provides important implications for policymakers, maintaining and optimizing minimum wage increases and foreign investment in a measurable manner because they have proven effective in reducing unemployment rates. Reorienting export strategies policy from capital-intensive to labor-intensive, increasing the human development index adjusted to technological developments, especially in the business and industrial world.

Domestic violence (DV) is a hidden crime phenomenon with complex criminology, deeply rooted in the interaction between economic pressures and unequal social norms. Financial instability, such as unemployment and poverty, creates profound psychological stress on individuals, especially for perpetrators who fail to fulfill their breadwinner role, which is then expressed through aggressive behavior. Economic crises even causally increase stress, leading to physical or psychological violence. The dominant profile of perpetrators is men with low emotional control who are financially stressed and adhere to patriarchal ideology, while the majority of victims are women (housewives) who are vulnerable due to economic dependence and lack of access to resources, reinforcing the dynamics of economic violence as a systematic means of control. Optimizing response requires an integrated approach: strengthening law enforcement through sensitivity to non-physical violence and guaranteeing the protection of victims' assets, empowering victims economically through training and access to capital to foster independence, and transforming social norms through gender equality campaigns and deconstructing patriarchal culture that considers domestic violence a private matter.

This study aims to apply the Principal Component Analysis (PCA) method to identify the main factors influencing poverty in North Sumatra Province. Poverty rates in this region show significant variations among districts and cities, influenced by differences in social, economic, educational, and basic facility availability. The data used in this study include eleven indicators related to population, education, health, access to basic services, and economic conditions. All variables were initially normalized to ensure they had comparable scales, then PCA feasibility tests were conducted using MSA, KMO, and Bartlett's test, which indicated that the data were eligible for further analysis. The results of the PCA revealed three main components explaining a total of 69.91 percent of the variation. The first component represents regional population and economic factors, with the largest contributions coming from population density, open unemployment rate, and per capita expenditure. The second component reflects household living conditions, such as access to clean water, adequate sanitation, and health complaints. The third component describes the educational dimension through indicators of the population aged at the primary and secondary school levels. These findings indicate that poverty in North Sumatra is influenced not only by economic factors but also by the quality of basic services and education levels among the population. Therefore, this research is useful for policymakers at the central and regional government levels to consider the factors influencing the increase in poverty in North Sumatra.

Income inequality and poverty continue to be major challenges in Indonesia's industrial areas, especially in DKI Jakarta, West Java, and Banten, although minimum wage policies continue to be developed as a form of protection for low-income workers. These policies theoretically serve as an instrument for income redistribution and improvement of labor welfare, but their effectiveness in reducing inequality and reducing poverty rates is still questionable, especially in areas with highly industrialized economic structures. This study aims to analyze the influence of income inequality, poverty rate, economic growth, and unemployment rate on the dynamics of the provincial minimum wage in the 2016–2023 period. The study used secondary data obtained from the Central Statistics Agency and analyzed using panel data regression to obtain a comprehensive empirical picture of the factors determining the minimum wage. The test results show that the Fixed Effect Model is the most suitable model for capturing variations between provinces and between times. Key findings reveal that poverty levels and economic growth have a significant influence on changes in the minimum wage, while income inequality and unemployment rates have no significant influence. The conclusion of the study emphasizes that the minimum wage policy is not effective enough in reducing income inequality and reducing poverty without the expansion of the formal sector, improving the quality of the workforce, and distributing economic growth more evenly between industrial areas.

This study aims to analyze the factors affecting real wages of construction workers across provinces in Indonesia from 2010 to 2023 using panel data analysis. The independent variables include Provincial Minimum Wage (UMP), Consumer Price Index (CPI), Open Unemployment Rate (TPT), and Performance Pay (Balas Jasa). A panel dataset of 476 observations from 34 provinces over 14 years was analyzed using three model approaches: Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). The best model was determined through Chow Test, Hausman Test, and Lagrange Multiplier Test, which confirmed that the Fixed Effect Model (FEM) is the most appropriate for analyzing this research data. FEM estimation results show that simultneously, all independent variables (UMP, CPI, TPT, and Performance Pay) have a significant effect on real wages with an F-statistic value of 436,465.9 (p-value = 0.0000 < 0.05), indicating that the model as a whole is highly valid and capable of explaining the variation in real wages collectively. However, partial tests reveal that only the Real Wage variable has a positive and statistically significant effect on Performance Pay (coefficient = 106.3320; t-statistic = 1276.083; p-value = 0.0000), while UMP (p-value = 0.1472), CPI (p-value = 0.6460), and TPT (p-value = 0.6934) show no significant effects at the 5% significance level. The research model demonstrates very high predictive ability with an R-squared value of 0.999735 (99.97%), indicating that the variables studied can explain nearly all variation in real wages of construction workers at the provincial level. This research provides policy implications that improving real wages in the construction sector requires an integrated approach that focuses not only on minimum wage setting but also on regional inflation control, human capital quality improvement, and creating conducive labor market conditions through unemployment reduction

The purpose of this study is to investigate the factors that lead to poverty in different Indonesian regions between 2018 up to 2024. The Gross Regional Domestic Product per capita, the Human Development Index, and the Open Unemployment Rate are the independent factors used in this study, whereas poverty levels are the dependent variable. The Central Statistics Agency provided secondary data that was used in a quantitative manner. Using EViews 12 software, panel regression techniques were used to process the data. The study's conclusions show that, at a significance level of less than 0.05, economic and human development factors simultaneously significantly affect poverty rates across Indonesian regions. The coefficient of determination indicates that the variables in the model can account for the majority of the variations in poverty levels. These findings demonstrate how important a region's economic status and level of human development are to efforts to reduce poverty. It is anticipated that this research will help the government develop more effective and long-lasting methods for reducing poverty.

This study aims to examine the influence of investment, labor, and unemployment rates on economic growth in Aceh Province. Economic growth is one of the main indicators in assessing the success of a region's development, so it is important to understand the factors that can influence it. The data used in this study are secondary data in the form of annual data for the period 2009–2023 obtained from the Central Statistics Agency (BPS) of Aceh Province and several related institutions. Data analysis was conducted using the multiple linear regression method with a time series approach. The results of the analysis show that the investment variable has a positive and significant influence on economic growth in Aceh Province, indicating that increased investment can encourage increased regional economic output. The labor variable also has a positive influence on economic growth, although its significance is lower compared to investment. Meanwhile, the unemployment variable has a negative and significant influence on economic growth, which means that increasing unemployment rates can suppress the rate of economic growth in Aceh Province.

This study aims to analyze the effect of the unemployment rate on economic growth in Riau Islands Province in 2024 using a descriptive–quantitative approach based on official data published by Statistics Indonesia (BPS). The analysis was conducted through year-on-year and quarter-to-quarter measurements of Gross Regional Domestic Product (GRDP), as well as the dynamics of the Open Unemployment Rate (OUR) throughout the year. The findings show that the average economic growth of the province in 2024 reached 5.02 percent, while the unemployment rate decreased from 6.94 percent in February to 6.39 percent in August. Pearson correlation analysis resulted in r = –0.98 (p < 0.05), indicating a very strong negative relationship between unemployment and GRDP growth. Meanwhile, the simple linear regression model produced the equation Ŷ = 5.45 – 0.22X with an R² of 0.96, implying that 96 percent of the variation in economic growth can be explained by changes in the unemployment rate. These findings are consistent with Okun’s Law, suggesting that increased industrial and trade activities in the province contribute to reducing unemployment. The study concludes that strengthening sectoral job creation, improving labor productivity, and enhancing labor market monitoring are crucial to support inclusive and sustainable economic growth in the Riau Islands Province.

This study aims to investigate the empirical impact of population size and unemployment rates on economic growth in Central Kalimantan Province. The research focuses on the regional context of Central Kalimantan, utilizing a longitudinal dataset covering the eleven-year period from 2013 to 2024. To achieve the research objectives, the study employs quantitative analysis through the SPSS software package, utilizing multiple linear regression as the primary analytical tool to examine the relationship between the dependent variable (economic growth) and the independent variables (population and unemployment). The findings of the analysis reveal a divergent impact between the two independent variables. The results indicate that the population has a significant and positive influence on economic growth in Central Kalimantan during the 2013-2024 period, suggesting that demographic factors play a crucial role in regional expansion. Conversely, the unemployment rate was found to have no significant effect on economic growth within the same timeframe. Furthermore, the study conducted a comprehensive suite of classical assumption tests to ensure the validity and reliability of the statistical model. The results of these diagnostics confirm that the regression model adheres to the assumption of normality, shows no evidence of multicollinearity among the variables, and is free from symptoms of heteroscedasticity. Additionally, the analysis concludes that the model does not exhibit any issues related to autocorrelation. Consequently, the regression model is deemed statistically robust and appropriate for providing an accurate representation of the economic dynamics in Central Kalimantan.

The persistent issue of high youth unemployment among Senior High School (SHS) graduates necessitates cultivating an entrepreneurial mindset through formal education, making Entrepreneurship Education (EE) a national strategic imperative. This Systematic Literature Review (SLR) critically analyzed 15 empirical articles, selected via the strict PRISMA protocol, to evaluate the effectiveness of diverse EE curriculum models in enhancing students' Entrepreneurial Interest (Intention) and Attitude. The key finding is that EE implementation is substantially effective only when executed through active, experience-based pedagogical models such as Experiential Learning, Project-Based Learning (PjBL), and the Teaching Factory which are superior in fostering practical competency and significantly boosting Entrepreneurial Self-Efficacy and positive Attitude, consistent with the Theory of Planned Behavior. Successful implementation also critically depends on robust operational factors, including structured curriculum management (e.g., PDCA cycle) and the availability of competent teachers. In conclusion, the findings provide a strong evidence-based framework, recommending that policymakers prioritize experiential models and integrate modern elements like Digital Literacy and Non-cognitive Skills to produce SHS graduates with genuine entrepreneurial readiness.

Educational transformation in the era of globalization and the Industrial Revolution 4.0 requires educational institutions not only to produce academically competent graduates but also individuals with entrepreneurial spirit, creativity, and adaptability. The high rate of educated unemployment indicates the need for alternative approaches, one of which is the implementation of an edupreneurial business model. This concept integrates entrepreneurial principles into educational management, emphasizing innovation, value creation, and sustainability. This study analyzes the application of business models in edupreneurship within formal educational institutions, covering conventional, digital, and social models. The findings indicate that edupreneurship enhances educational relevance, expands accessibility, and supports financial independence of institutions. Social edupreneurship is considered effective in promoting educational equity through socially impactful business models. The success of implementing an edupreneurial business model depends on continuous innovation, technological utilization, strategic partnerships, and diversification of funding sources. Therefore, edupreneurship is recommended as a visionary, adaptive, and sustainable strategy for educational transformation.

Quarter life crisis is a phase of identit, emotional, and life purpose crisis commonly experienced during early adulthood, especially when faced with pressure related to life achievements, employment, and social expectations. this study aims to describe the dynamics of quarter lufe crisis experienced by unemployed Javanese young adults. a qualitative approach using a case study method was employed to understand the participants subjective experiences. Data were collected through in depth interview with three informants aged 18-29 ears, residing in Central Java, who were currently unemployed. The findings show that these young Javanese individuals tend to experience symptoms of quarter life crisis such as anxiety about the future, feelings of worthlessness, social pressure from family and surroundings, and confusion about life direction. Moreover, the patriarchal nature of Javanese culture adds further pressure on the informants. This study concludes that the quarter life crisis among Javanese young adults has unique characteristics shaped by cultural context and socioeconomic conditions. These findings are expected to serve as a foundation for developing more culturally contextual psychological interventions and contribute to cross cultural studies on early adulthood development.

The economy of West Sumatra Province has shown a significant decline in recent years, with the lowest growth rate on the entire island of Sumatra. This study aims to examine the influence of capital expenditure, unemployment, and the Human Development Index on economic growth in this region between 2014 and 2024. Using multiple linear regression and data sourced from the Central Statistics Agency (BPS) and the Directorate General of Fiscal Balance, the analysis shows that capital expenditure and unemployment have a significant negative impact on economic growth, while the Human Development Index (HDI) has no significant impact. Although capital expenditure varies, the decline in unemployment indicates a change in labor market conditions. This information indicates that government efforts to increase spending on infrastructure and public services are still ineffective in driving growth. Therefore, it is recommended that the government prioritize budget allocations in productive sectors such as infrastructure, tourism, and MSME development to help small businesses grow and advance through training, capital support, and technology implementation to ensure competitiveness and sustainability. Therefore, this study is expected to provide deeper insight into the elements that influence economic growth in West Sumatra and serve as a guide for further, more comprehensive research.  

This study aims to determine the partial and simultaneous influence between the variables of labor force, the agricultural sector, economic growth, and the industrial sector on the open unemployment rate in Aceh Province in the 2014–2023 period. The research method uses a quantitative approach by utilizing secondary data obtained from related agencies. The results showed that the labor force variable (X1) had a significant influence on the open unemployment rate with a significance value of 0.000 < 0.05. The agricultural sector variable (X2) was also proven to have a significant effect with a significance value of 0.002 < 0.05. Furthermore, economic growth (X3) has a significant influence on open unemployment with a significance value of 0.004 < 0.05. The industrial sector variable (X4) also showed a significant influence on the open unemployment rate in Aceh Province with a significance value of 0.015 < 0.05. Overall, these results indicate that employment dynamics and regional economic structure play an important role in determining the open unemployment rate during the study period. These findings provide a basis for policymakers to formulate more effective economic development strategies in reducing unemployment in the future.