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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.

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 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.

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.

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.

Poverty is one of the most difficult economic problems to solve. This problem occurs in all countries. Among the causes of poverty are poor human resources, a low quality of life, a rising unemployment rate, and a decrease in job availability each year, as well as wages that do not match living costs. This is not only due to low human resources; the government also plays a crucial role in this issue. The poverty rate is unavoidable, so an appropriate solution is needed to address this issue. One step to reducing poverty is to analyze which economic instruments can be optimized, especially in the Sidoarjo region. The poverty rate in Sidoarjo is quite high. The open unemployment rate in Sidoarjo ranks third in East Java province. Therefore, the author was interested in conducting this research. This study aims to determine the effect of the distribution of zakat, infaq, and alms (ZIS) funds, GRDP, and open unemployment on the poverty rate in Sidoarjo in 2013-2023. This study uses a quantitative method with multiple linear regression analysis. The data processing tool used is SPSS. The results of the T test indicate that the distribution of ZIS funds has a significant effect on the poverty rate, while GRDP and open unemployment do not have a significant effect on the poverty rate partially. The F test shows that the distribution of ZIS funds, inflation, and GDP have a significant effect on the poverty rate simultaneously in the period 2013-2023. The limitation of this study is the use of variables that affect the poverty rate, so that future researchers can add or change these variables with other variables related to poverty.

Macroeconomic indicators are essential instruments in the process of planning a country's development. Assumptions regarding inflation, unemployment, and economic growth are often used by governments to determine macroeconomic policies. Given this context, it becomes important to empirically understand the relationship among these three macroeconomic indicators in Indonesia. This study statistically examines the relationship between the variables of inflation, unemployment, and economic growth using the Vector Error Correction Model (VECM) method. The results show that inflation and the open unemployment rate significantly influence economic growth. Inflation has a positive relationship with economic growth, while the open unemployment rate has an inverse relationship with economic growth. In the short term, economic growth is significantly affected by the growth rate in the previous period (lag-1 or t-1). Meanwhile, inflation and the open unemployment rate do not statistically have a significant impact on economic growth. Shocks to inflation and the open unemployment rate are relatively not excessively responded to by economic growth.

Inflation, unemployment, and deflation are three fundamental macroeconomic phenomena that are closely interconnected in influencing a nation’s economic stability. These variables illustrate the equilibrium between production capacity, consumption behavior, and government intervention in achieving sustainable economic growth. The main purpose of this study is to explore the interrelationship between inflation, unemployment, and deflation, and to assess their implications for Indonesia’s economic stability. This research applies a qualitative descriptive method, employing literature reviews, document analysis, and secondary data evaluation derived from credible institutions such as the Central Bureau of Statistics (BPS), Bank Indonesia (BI), and the Ministry of Finance. The results suggest that a moderate level of inflation can positively stimulate economic expansion through increased consumption and investment activities. In contrast, excessive inflation tends to erode consumer purchasing power and potentially elevate unemployment rates. Meanwhile, prolonged deflationary conditions may lead to a decline in product prices, reduced business profitability, and slower economic momentum. The interaction among these three factors is complex and dynamic, necessitating a coordinated balance between fiscal and monetary policies to safeguard overall economic stability. This study concludes that effective inflation control, job creation, and deflation prevention are critical elements in strengthening Indonesia’s long-term economic resilience.

Poverty is a complex and multidimensional problem. It can be characterized as a condition in which there is a lack of aspects related to the quality of life. North Sumatra Province is known as one of the richest provinces in Indonesia with abundant natural resources and agricultural products such as petroleum, natural gas, palm oil, rubber, and forest products used as industrial materials. However, it still ranks among the provinces with the highest poverty rates in Indonesia. This study aims to analyze the effect of unemployment rate, economic growth, and Human Development Index (HDI) on poverty in 14 districts/cities of North Sumatra Province during the 2016–2023 period. The analytical method used is panel data regression with the Fixed Effect Model (FEM) approach. The results of this study indicate that simultaneously, the three independent variables have a significant effect on poverty. Partially, unemployment has a positive and significant effect, while economic growth and HDI have no significant effect on poverty.

The Human Development Index (HDI) functions as a key indicator for assessing the level of welfare and overall quality of life of the population within a specific region. This study aims to examine the socio-economic factors influencing HDI at the provincial level in Indonesia using a Gaussian kernel regression approach. A nonparametric method is employed due to its flexibility in capturing nonlinear relationships between the response and predictor variables without the need to assume a specific functional form. The analysis utilizes secondary data, including education, poverty, per capita expenditure, expected years of schooling, open unemployment rate, and gross regional domestic product for each Indonesian province. The findings from this study indicate that educational factors, particularly mean years of schooling and expected years of schooling, exert the most significant impact on HDI improvement. The estimated Gaussian kernel regression model demonstrates a coefficient of determination of 0.9954 and a residual standard error of 0.3468, reflecting a very high predictive accuracy and relatively low error. These results suggest that Gaussian kernel regression is an effective nonparametric approach for analyzing human development in Indonesia.

This study aims to analyze the effect of the distribution of Zakat, Infak, and Sadaqah (ZIS) funds, economic growth, unemployment rate, and Regional Original Revenue (PAD) on the poverty rate in West Sumatra Province during the period 2020–2024. The data used are secondary data obtained from BAZNAS, BPS, and the Directorate General of Fiscal Balance (DJPK), covering 12 regencies/cities in West Sumatra Province. This study employs panel data regression analysis using EViews 12 software to examine the relationships among the variables. The results indicate that, partially, the distribution of ZIS funds and PAD have no significant effect on the poverty rate. In contrast, economic growth and unemployment rate have a negative and significant effect on the poverty rate. Simultaneously, all four independent variables are found to have a significant influence on the poverty rate. The coefficient of determination (Adjusted R²) is 0.123, indicating that 12.30% of the variation in the poverty rate can be explained by the variables in the study, while the remaining 87.7% is influenced by factors outside the model. The study provides policy implications suggesting that optimizing ZIS management, promoting inclusive economic growth, expanding employment opportunities to reduce unemployment, and utilizing PAD more effectively are crucial strategies for local governments and relevant institutions to effectively reduce the poverty rate in West Sumatra.

This study aims to assess the effectiveness of the Jakpreneur program in reducing unemployment in South Jakarta. Jakpreneur is a strategic initiative launched by the Jakarta Provincial Government as a concrete effort to empower Micro, Small, and Medium Enterprises (MSMEs). This program is designed with various forms of support, such as skills training, business mentoring, legal licensing facilitation, product marketing support, and easy access to capital. This aims to create an inclusive and sustainable entrepreneurial ecosystem, especially amidst the complex challenges of the urban economy and the ongoing unemployment rate. However, in its implementation on the ground, the program's effectiveness still faces several obstacles. One of the main problems identified is the suboptimality of information technology-based training. Many participants have not yet mastered basic digital skills, making it difficult to keep up with developments in training methods that rely on technology. In addition, the low level of responsiveness of program facilitators to participant needs, as well as the limited digital literacy of MSMEs, also hinders maximizing the benefits of this program. This study uses a descriptive qualitative approach with data collection techniques through in-depth interviews, participant observation, and documentation studies. The findings indicate that, despite some shortcomings, the Jakpreneur program has been generally successful in improving participants' entrepreneurial knowledge and skills, reaching the right target audience, and having a tangible impact on increasing business capacity and reducing unemployment. Therefore, strengthening outreach, improving the quality of digital training, and providing more active and responsive mentoring is necessary to further enhance the program's effectiveness.

This study investigates the influence of economic growth, investment, and minimum wage on the open unemployment rate across districts and cities in East Kalimantan Province. The research employs a quantitative descriptive approach with panel data regression analysis, processed using EViews 13 software. Model selection was carried out through the Chow and Hausman tests, which identified the Fixed Effect Model (FEM) as the most appropriate estimation technique. The study utilizes secondary data from 2018 to 2024, obtained from the Central Bureau of Statistics (BPS) and the Investment and One-Stop Integrated Service Office of East Kalimantan Province. The empirical findings demonstrate that economic growth exerts a negative and statistically significant impact on the open unemployment rate, indicating that higher economic growth effectively contributes to reducing unemployment in the region. Foreign Investment (PMA) is found to have a negative but insignificant effect, suggesting that inflows of foreign capital alone do not directly translate into job creation unless accompanied by supporting policies and local labor absorption capacity. In contrast, Domestic Investment (PMDN) shows a positive yet statistically insignificant relationship with unemployment, reflecting the possibility that domestic investments may not always generate sufficient employment opportunities in the short term due to structural constraints or sectoral imbalances. Furthermore, the minimum wage variable has a negative and significant effect on the open unemployment rate, implying that increases in the regional minimum wage can stimulate greater employment absorption and improve labor market conditions. Overall, the results highlight the importance of fostering sustained economic growth and designing investment policies that are more labor-intensive to optimize employment creation. Additionally, the findings emphasize the strategic role of minimum wage policy in supporting job opportunities while safeguarding workers’ welfare.