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International trade plays a vital role in strengthening Indonesia’s economic growth, particularly through the export of fishery products which are among the country’s leading commodities. Fresh fish exports are highly influenced by external demand factors in destination countries as well as Indonesia’s own production capacity. This study aims to analyze the determinants affecting Indonesia’s fresh fish exports to its main trading partners, namely China, Japan, Hong Kong, Singapore, and Malaysia, over the period 2012–2023. The research utilizes secondary data sourced from the World Bank and the Central Statistics Agency (BPS). Several independent variables are considered, including the fish production levels in the importing country, the real gross domestic product (GDP) per capita of the importing country, and the total population of the importing country. Panel data analysis was employed to capture the variations across time and countries, with the Random Effect Model (REM) chosen based on the results of the model specification tests. The findings of the analysis indicate that fish production in the importing country exerts a negative and statistically significant effect on Indonesia’s fresh fish exports, suggesting that higher domestic fish production in these countries reduces the need for imports. Conversely, the real GDP per capita of the importing country and its population size were found to have positive and significant impacts on Indonesia’s export volumes. These results highlight that wealthier and more populous nations demonstrate stronger demand for imported fresh fish, including from Indonesia. The implications of this study underscore the importance for Indonesia to continuously improve the quality, safety, and competitiveness of its fresh fish products while also adopting effective marketing and trade strategies targeting countries with high purchasing power and large consumer bases.

This study aims to analyze the influence of life expectancy, education, economic growth, and unemployment on the poverty rate in Probolinggo Regency during the period 2010–2023. Poverty is a multidimensional issue that reflects not only economic conditions but also social and demographic aspects, making it essential to examine various determinants simultaneously. The research employs a quantitative method with multiple linear regression analysis, using secondary data obtained from the Central Bureau of Statistics (BPS). By applying this approach, the study seeks to provide a comprehensive understanding of the extent to which these variables contribute to changes in poverty levels. The results reveal that education has a significant and negative effect on poverty, indicating that improvements in educational attainment can directly reduce poverty rates. Better access to quality education equips individuals with skills and knowledge that enhance their employment opportunities and income levels, thereby breaking the cycle of poverty. In contrast, life expectancy, economic growth, and unemployment are found to have no statistically significant impact on poverty levels during the observed period. This suggests that while these variables are important indicators of social and economic well-being, their influence on poverty reduction in Probolinggo Regency is not as strong or direct as that of education. The findings highlight the critical role of education as a key driver in poverty alleviation. They suggest that government policies focusing on expanding access to education, improving learning quality, and ensuring equitable opportunities across different social groups will be more effective in addressing poverty than strategies relying solely on economic growth or labor market interventions. Therefore, this research is expected to serve as a valuable reference for local governments in formulating more targeted, evidence-based, and sustainable development policies that prioritize education as the foundation for long-term poverty reduction.

Vocational education in Indonesia faces a serious challenge in the form of a gap between the competencies of Vocational High School (SMK) graduates and the evolving needs of the workforce. Timika City, despite having the largest number of vocational high schools (SMK) in Papua, has not yet fully demonstrated optimal educational management quality, particularly in the aspect of school administration. This condition has resulted in low effectiveness in data recording, documentation of industrial work practices, and reporting and evaluation of partnerships with the business and industrial world (DUDI). This study aims to explore and analyze administrative management strategies that can improve educational quality while strengthening the work readiness of vocational high school students in Timika City. The research method used is a descriptive qualitative approach with content analysis of secondary data, including government policy reports, educational statistics, and the latest scientific literature. The results show that weaknesses in the administrative system are one of the factors inhibiting the achievement of competitive vocational education quality. The implementation of management strategies based on Total Quality Management (TQM) principles, particularly through the Plan–Do–Check–Act (PDCA) cycle, data-driven decision-making, and the involvement of all school elements, has proven effective in increasing the efficiency and accountability of administrative services. The discussion also emphasized the importance of transformational leadership from school principals, developing the competencies of administrative staff, utilizing information technology in administrative systems, and strengthening strategic partnerships with the industrial and industrial sectors (DUDI). Therefore, it can be concluded that school administrative management is not merely a technical function, but rather a strategic component in building a vocational education ecosystem that is adaptive, relevant, and oriented to the needs of the workplace. This research recommends that school policymakers and local governments strengthen administrative governance systems to support educational quality and improve the job readiness of vocational high school graduates.

Hairstyling is a crucial aspect of enhancing one’s aesthetic appearance and self-expression, with the Hollywood Wave being one of the most iconic and classic styles. Characterized by large, shiny, and neatly arranged “S”-shaped waves, this style requires accuracy in both technique and tools. One of the most influential factors in achieving the desired look is the diameter of the curly iron used. Observations during an internship at a national television station revealed that different curly iron diameters, specifically 28 mm and 25 mm, produce varied results when applied to long straight hair. This study aims to compare the effectiveness of using 28 mm and 25 mm diameter curly irons in creating Hollywood Wave styles. The research employed a quantitative method with a One-Group Pretest-Posttest Design. The independent variable was the Hollywood Wave styling technique, while the dependent variable was the styling result measured across three indicators: wave shape, wave durability, and wave volume. The sample consisted of students who had completed the Hair Styling course and had long straight hair, selected through purposive sampling. Data were analyzed using descriptive statistics, followed by normality, homogeneity, and hypothesis testing to ensure validity. The findings demonstrate that the 28 mm curly iron performs more effectively than the 25 mm in producing Hollywood Waves that are neater, longer-lasting, and more voluminous. Statistical analysis confirms a significant difference between the two diameters in achieving optimal styling results. This suggests that the larger diameter curly iron not only provides a smoother and more polished wave pattern but also improves the durability and overall quality of the style. The study contributes to hairstyling practices by offering evidence-based insights into tool selection for professional styling, particularly for achieving the Hollywood Wave look.

This research is motivated by the phenomenon of declining compliance levels of motor vehicle taxpayers in Kediri Regency in the last five years, despite the provision of various modernization services. Motor vehicle tax itself is one of the main sources of regional revenue that is very important in supporting development and financing public services. This study aims to determine the effect of income levels, taxpayer awareness, and modernization of the tax administration system on motor vehicle taxpayer compliance in Kediri Regency in 2024. The research method used is quantitative with a causality approach. The population in this study were all motor vehicle taxpayers in Kediri Regency, with a sample of 100 respondents selected using probability sampling methods and simple random sampling techniques. Data analysis was performed using multiple linear regression with the help of the IBM SPSS Statistics program version 30. The results of the study indicate that partially, the variables of income level and taxpayer awareness have a significant effect on motor vehicle taxpayer compliance, while the modernization of the tax administration system has no significant effect. However, simultaneously, all three variables have a significant effect on motor vehicle taxpayer compliance. These findings demonstrate the importance of increasing awareness and community economic empowerment in encouraging tax compliance. Based on these findings, it is recommended that local governments and relevant agencies improve tax education and maximize the use of modern tax services to encourage higher public compliance. Furthermore, the results of this study indicate that despite the implementation of modernized tax administration systems, non-technical factors such as income level and taxpayer awareness still have a greater influence on motor vehicle taxpayer compliance. This suggests that improved technology and administrative systems alone are not sufficient to significantly improve tax compliance.

This study aims to determine the effect of paternal attachment on emotional regulation in late adolescents in Padang City. Paternal attachment is seen as a crucial factor in developing children's emotional regulation skills, particularly during late adolescence, which is the transitional phase toward adulthood. Late adolescence is a crucial period in an individual's psychological development, where the ability to manage and express emotions appropriately determines their mental and social well-being. A strong emotional attachment to a father is believed to provide a foundation of emotional security that helps adolescents regulate their emotional responses to various life pressures and challenges. This study used a quantitative approach with a purposive sampling technique and involved 272 late adolescent respondents in Padang City as a sample. Data were collected through a questionnaire designed to measure the level of paternal attachment and adolescents' emotional regulation skills. Data collection was carried out with attention to the validity and reliability of the instrument so that the research results can be scientifically accounted for. Data analysis was conducted using descriptive and inferential statistics to identify the relationship and influence between paternal attachment variables and emotional regulation. The results showed that the level of father attachment in late adolescents was in the moderate category at 53.3%, while their level of emotional regulation was in the high category at 42.3%. These findings indicate that although father attachment did not reach the high category for most, adolescents' emotional regulation abilities were relatively good. Further statistical analysis revealed that there was an influence of father attachment on emotional regulation in late adolescents, but this influence was very weak. This indicates that although father attachment contributes, there are many other factors that play a role in shaping adolescents' emotional regulation abilities, such as attachment to the mother, peer support, education, and individual experiences.

Poverty remains a structural issue and a major challenge in economic development, including in Bali Province, particularly in the strategic Sarbagita region (Denpasar, Badung, Gianyar, and Tabanan). This region plays a significant role in supporting regional economic growth but still faces socioeconomic disparities, including a relatively high poverty rate. Several fundamental factors—such as limited investment in productive sectors, high unemployment rates, low quality of education, and uneven economic growth—are the primary causes of this issue. Targeted government expenditure policies and investment strategies directed toward areas with the potential to generate employment are expected to reduce poverty levels. This study aims to analyze the effect of Special Allocation Funds (DAK) and investment on employment absorption and poverty levels in the Sarbagita region of Bali Province from 2009 to 2023. The data used in this research are secondary data obtained from the Revenue Department, the Central Bureau of Statistics (BPS) in the Sarbagita Regional Area, and the Central Bureau of Statistics (BPS) of Bali Province. The analytical tool used in this study is path analysis with the assistance of SPSS software. The results indicate that DAK does not have a positive and significant effect on employment absorption in the Sarbagita region. Investment has a positive and significant effect on employment absorption. Employment absorption has a negative and significant effect on poverty levels in the region. DAK does not have a significant effect on poverty through employment absorption, whereas investment does have a significant effect on poverty through employment absorption in the Sarbagita region.

This study aims to examine the influence of the marketing mix on the sales volume at Senyala Space coffee shop, focusing on four independent variables: product, price, place, and promotion. The research method used is quantitative with a descriptive approach. The population of the study consists of Senyala Space customers from 2020 to 2024, and the sample was selected using nonprobability sampling and Slovin’s technique to determine a representative sample size. Data was collected through surveys and interviews with customers who visited Senyala Space during the specified period. Data analysis was conducted using several statistical tests, including validity testing, reliability testing, normality testing, linearity testing, multicollinearity testing, heteroscedasticity testing, and multiple linear regression analysis. Additionally, the coefficient of determination (R²), partial test (t-test), and simultaneous test (F-test) were used to examine the effect of independent variables on the dependent variable. All analyses were performed using IBM SPSS Statistics 23. The results show that the marketing mix significantly affects the sales volume at Senyala Space. Of the four marketing mix variables analyzed, price was found to have a significant negative effect on sales volume, indicating that an increase in price tends to decrease sales volume. On the other hand, the other three variables—product, place, and promotion—have a significant positive effect on sales volume. This suggests that improvements in product quality, strategic location selection, and effective promotions can increase sales at Senyala Space. These findings provide recommendations for Senyala Space’s management to enhance their marketing strategies by considering the factors influencing customer purchasing decisions, in order to boost sales volume in the future.

Lymphoma is a type of cancer that begins in the lymphatic system, which is part of the body's immune system. The lymphatic system consists of lymph nodes (lymph nodes), lymph vessels, the spleen, bone marrow, and other organs. Lymphoma occurs when lymphocytes multiply abnormally. Lymphoma is one of the most common cancers, affecting approximately 8 million people worldwide annually. These statistics should not be underestimated, but should be taken into consideration. This study aimed to assess the level of knowledge of patients with lymphoma and to investigate the relationship between family history and risk of developing the disease.  A descriptive and analytical cross-sectional study was conducted at a final center in Wasit Governorate, Iraq, from January 2024 to March 2025. Forty patients were included in the study, who were diagnosed with lymphoma and had their lymph nodes sorted. Data were collected through a structured questionnaire covering demographics, family history, and knowledge about the disease. Data were analyzed using SPSS and Excel, with descriptive statistics and chi-square testing applied to determine statistical relationships (at a significance level of ≤ 0.05). The study was conducted using a descriptive analytical approach at the Oncology Center in Wasit Governorate, Iraq, from January 2024 to March 2025. The sample included 40 female patients diagnosed with lymphoma. Data were collected through a structured questionnaire covering demographics, family history, and knowledge about the disease. Data were analyzed using SPSS and Excel, using descriptive statistics and the chi-square test to determine statistical relationships (at a significance level of ≤ 0.05). Most of the participants (61%) had poor knowledge of lymphoma, particularly about its signs and symptoms, risk factors, and preventive measures.

This study aims to investigate the influence of workload, competence, and red flags on auditors' ability to detect financial statement fraud. Fraud detection is a crucial aspect of the audit process, especially amidst increasing business complexity and pressure on the integrity of financial reporting. This study was conducted on 104 external auditors working at 12 Public Accounting Firms (KAP) operating in the Bekasi area. Respondents were selected using a purposive sampling technique, namely selecting samples based on certain criteria relevant to the research objectives. Data collection was carried out by distributing questionnaires compiled based on research variable indicators, then analyzed using hypothesis testing with the help of SPSS Statistics software version 26. The results of the analysis indicate that partially, the variables of workload and red flags have a negative influence on auditors' ability to detect financial statement fraud. This indicates that auditors with high workloads or who do not accurately identify red flags have a lower tendency to detect fraud. Conversely, auditor competence shows a significant positive influence on fraud detection ability. Auditors who have adequate knowledge, skills, and experience tend to be more capable of identifying and analyzing indications of fraud in financial statements. Simultaneously, the three independent variables—workload, competence, and red flags—significantly influence auditors' ability to detect financial statement fraud. This finding underscores the importance of managing auditor workload, improving competence through ongoing training, and developing a thorough understanding of red flag indicators to enhance audit effectiveness and financial statement quality. This research is expected to contribute to the development of audit practices and the enhancement of auditor professionalism in Indonesia.

This study aims to analyze the influence of quantitative analysis skills and statistical mastery on managerial decision-making among Management students in Bekasi. The background of this study is based on the importance of data literacy and analytical skills in supporting effective decision-making processes, especially amidst the increasing demand for data-driven businesses. This study used a quantitative approach with a census technique on 67 respondents. Data were collected through questionnaires and analyzed using multiple linear regression through classical assumption tests, partial tests (t-tests), and simultaneous (F-tests). The results showed that both quantitative analysis skills and statistical mastery have a positive and significant effect individually on managerial decision-making skills. Quantitative analysis skills, which include the ability to process data in numerical form and interpret it critically, have been shown to strengthen decision-making skills in various situations. Likewise, statistical mastery provides a foundation for analyzing data systematically and producing evidence-based decisions. Simultaneously, these two variables explain 60.8% of the variation in decision-making. These findings emphasize the importance of mastering quantitative and statistical skills for students in facing the complexity of decision-making in a professional environment. This study recommends strengthening the curriculum and providing practical data-based training to improve students' readiness for more informed and analytically sound managerial decision-making. Furthermore, it is recommended that students be given more opportunities to engage in case studies involving real-world data, as well as the use of statistical software that can accelerate the analysis and decision-making process. Improving data and statistical literacy will give students a competitive advantage in an increasingly data-driven business world.

The high unemployment rate and low entrepreneurial interest among graduates of the educational program at the Faculty of Economics and Business, Unesa, is a concerning issue. According to the Tracer Study data from the educational program, only a small percentage of graduates choose entrepreneurship. The statistics show that 15% of business education graduates, 23% of office administration education graduates, and only 3% of economics education graduates choose to become entrepreneurs. This indicates a lack of interest in entrepreneurship among educational program students. This study aims to analyze the influence of entrepreneurship practice courses, risk perception, and family environment on entrepreneurial interest among students of the educational program at the Faculty of Economics and Business, Unesa. The study employs a quantitative approach with data analysis techniques using SPSS version 25. The sample consists of 148 undergraduate students from the 2021 cohort of the educational program who have taken the entrepreneurship practice course. The findings indicate that the entrepreneurship practice course, risk perception, and family environment have a significant partial influence on entrepreneurial interest. Simultaneously, these three independent variables significantly contribute to entrepreneurial interest among students, accounting for 85.6%, while the remaining 14.4% is influenced by other factors not covered in this study. This research provides important insights into how academic factors, risk perception, and support from the family environment can affect students' entrepreneurial interest. It is expected that the findings can contribute to enhancing students' understanding and skills in entrepreneurship, making them more prepared to enter the entrepreneurial world after graduation. Ultimately, the results of this study can help increase the number of entrepreneurs in Indonesia, which will help reduce unemployment rates and strengthen the economy.

This study aims to examine the influence of financial performance ratios—namely, the liquidity ratio (Current Ratio/CR), solvency ratio (Debt to Asset Ratio/DAR), and activity ratio (Total Asset Turnover/TATO)—on the return on assets (ROA) of companies in the automotive sector listed on the Indonesia Stock Exchange (IDX) during the period 2020–2023. Employing a quantitative research approach with purposive sampling, the study focuses on automotive sector companies that met specific criteria over the observed time span. Data analysis was conducted using EViews version 13 software, and the methodology included descriptive statistics, panel data estimation, classical assumption tests, panel data regression analysis, t-tests (for partial effects), F-tests (for simultaneous effects), and coefficient of determination (R²) tests. The partial test results reveal that the liquidity ratio (CR) has a negative but statistically insignificant effect on ROA, indicating that higher liquidity does not necessarily enhance profitability. Similarly, the solvency ratio (DAR) demonstrates a negative and insignificant effect on ROA, suggesting that increased debt levels are not significantly associated with lower returns. In contrast, the activity ratio (TATO) has a positive and significant effect on ROA, implying that better asset utilization contributes positively to profitability. When tested simultaneously, the combination of CR, DAR, and TATO shows a positive and significant influence on ROA, indicating that these financial ratios collectively impact the profitability of automotive companies. These findings contribute to a deeper understanding of how internal financial indicators relate to profitability in the automotive sector and can inform management decisions and investor evaluations.

The background of this research is the importance of pursuing knowledge based on good morals. The formation of Islamic character based on good morals is an important aspect that needs to be emphasized in students' lives, both in the school environment and in society. This is because good character is a reflection of the success of education, especially education based on Islamic values. However, at SMP Ma'arif NU 2 Kemranjen, several student behavioral problems were still found that indicate the suboptimal formation of Islamic character. Some students appeared unprepared when submitting memorization targets (deposits), were still outside the classroom when learning began, and arrived late to participate in the 0-hour habituation program. These problems indicate the importance of evaluating the effectiveness of the 0-hour habituation program that has been implemented by the school as an effort to form Islamic character. Therefore, this study aims to determine whether there is an effect of the 0-hour habituation program on the formation of students' Islamic character. This study used a quantitative approach with a descriptive survey method. The population in this study were all 107 eighth-grade students of SMP Ma'arif NU 2 Kemranjen from three classes. Data collection techniques were conducted through documentation of the 0-hour habituation program scores given by teachers and the Islamic character formation questionnaire completed by students. The data analysis technique used was descriptive statistics, with the calculation of averages, percentages, and data categorization. The results of the study indicate that the 0-hour habituation program did not have a significant impact on the formation of students' Islamic character. Nevertheless, this program is still being implemented because it is believed to have various benefits that can support the long-term character education process. This research contributes to schools in evaluating and developing more effective strategies for forming students' Islamic character.

This study aims to develop a contextual learning-based mathematics test instrument focused on Statistics and intended for eighth-grade junior high school (SMP) students. The instrument developed consists of essay questions designed by integrating real-life situations to make them more relevant and meaningful for students. This contextual approach is expected to help students understand statistical concepts more deeply and improve their ability to solve mathematical problems related to everyday life. In the instrument development process, a series of analyses were conducted to test the quality of the test items, including validity, reliability, discriminating power, and difficulty level. The validity of the test items was tested using the correlation between item scores and total scores, with the results showing that all test items had a correlation coefficient greater than the r value of the table, thus being declared valid. Meanwhile, the reliability coefficient obtained was 0.84, indicating that this instrument has a high level of consistency and is suitable for use in measurement. Analysis of the discriminating power showed that each test item had excellent ability to differentiate students with high and low abilities. The analysis of the difficulty level showed balanced variations, namely from easy, medium, to difficult categories. This variation is important to accommodate differences in student ability levels and reflect the diversity in the context of the problems presented. Overall, the results of this study indicate that the developed test instrument is of excellent quality and can be used as an evaluation tool to measure students' mathematical problem-solving abilities. Furthermore, this instrument supports more contextual, interactive, and meaningful statistics learning.

This study aims to analyze the influence of business capital, product pricing, and the utilization of e-commerce on the income of micro culinary business actors in Denpasar City. The background of this research is based on the crucial role of micro enterprises in economic development, particularly in the culinary sector, which is one of the largest contributors to the Gross Regional Domestic Product (GRDP) of Denpasar City. Despite the sector's significant growth, increasing competition and uneven adoption of technology remain key challenges in improving business income. This study employs a quantitative approach with an associative research design. The population includes micro culinary business actors spread across the four districts of Denpasar City. The sample was determined proportionally using the proportionate stratified random sampling technique, and respondents were selected using accidental sampling to ensure broad representation. Primary data were collected through direct observation and structured questionnaires, while secondary data were obtained from relevant government institutions such as the Department of Cooperatives and MSMEs and the Central Statistics Agency. The data analysis technique used was multiple linear regression, supported by classical assumption tests (normality, multicollinearity, heteroscedasticity), the F-test to determine the simultaneous influence of the variables, and the t-test to analyze the partial influence of each independent variable on income. The findings indicate that simultaneously, business capital, pricing, and e-commerce significantly influence the income of micro business actors. Partially, each of these variables also shows a positive and significant effect. Business capital provides the foundation for operational activities, pricing affects consumer demand and competitiveness, while e-commerce broadens market reach and improves efficiency. These results highlight the importance of strategic financial management, appropriate pricing strategies, and the adoption of digital platforms to support income growth and sustainability of micro culinary enterprises in Denpasar City.

Instant noodles are a widely consumed fast food product, and consumer understanding of their nutritional content and potential health risks is thought to influence both attitudes and behaviors related to their consumption. Specifically, this understanding may affect how individuals meet their energy requirements—measured by the Recommended Energy Intake (REI)—through the consumption of instant noodles. This study aims to examine the relationship between knowledge and attitudes and the consumption practices of instant noodles among consumers at Warmindo K17 in Surabaya. A quantitative, cross-sectional research design was employed. Data were collected using a structured questionnaire distributed to 100 respondents selected through simple random sampling. Descriptive statistics, Spearman’s rank correlation, and Fisher’s exact tests were utilized to analyze the relationships between knowledge, attitudes, and consumption practices. The results indicated a statistically significant association between knowledge levels and consumption practices (p = 0.030), as well as between attitudes and consumption practices (p = 0.006), with both p-values falling below the 0.05 threshold. These findings suggest that higher levels of nutritional knowledge and more positive attitudes are associated with healthier instant noodle consumption practices. The study underscores the importance of enhancing public nutrition education to encourage healthier dietary behaviors. Furthermore, the findings may offer valuable insights for Warmindo business operators in developing more effective strategies for communicating product information to consumers.

In perceiving the quality of service, satisfaction, or image, a person would base the perception on the values felt by the patients. The research aimed at analyzing the influence of service quality on the reuse of inpatient services at Hospital X. This was an analitic survey research with the cross sectional study design. Responden taken as samples were as many as 120 people. Data collected through an interview, questionnaire, and documentation. Data were analyzed using the descriptive statistics analysis namely calculating the average, percentage, frequency tables and inferential statistics through the Chi-square test, multivariate analysis through the multiple logistic regression analysis. The research result indicates that the influence of service quality with the inpatient reutilization in general hospital X was significant, that is service quality of administration (p = 0,032), service quality of doctors (p = 0,001), service quality of nurses (p = 0,000), service quality of pharmacist (p = 0,000), service quality of instruments (p = 0,020), and quality service of treatment rooms (p = 0,009). The variable of the nurses service quality and pharmacist’s quality are the most influential variables on quality service with the inpatient reutilization.

This study aims to comprehensively analyze the influence of capital, labor, raw materials, and production processes on the income of woven cloth artisans in Klungkung Regency, Bali. The woven cloth industry in this region holds significant historical and cultural value, yet faces challenges in increasing productivity and income. The study employed a quantitative approach with an associative method, combining data collection techniques through direct observation, structured interviews, and secondary data collection from relevant government agencies. The study population consisted of 120 artisan groups, with a sample of 92 groups determined using simple random sampling. Data analysis was conducted using descriptive statistics to map the general conditions of the respondents, and path analysis using SPSS software to identify direct and indirect relationships between variables. The results indicate that capital, labor, and raw materials positively and significantly influence woven cloth production volume. Furthermore, capital, labor, raw materials, and production simultaneously have a significant direct influence on artisan income, with raw materials emerging as the most dominant factor. These findings confirm that the availability of quality raw materials, the quantity and skills of the workforce, and capital adequacy play a central role in improving production performance and artisan welfare. In addition to direct influences, this study also found an indirect effect of capital, labor, and raw materials on income through the mediation of production variables. This suggests that efforts to improve production factors can automatically strengthen income, both directly and through increased production output. The study's recommendations include the need for policies that facilitate access to capital, workforce training, and a sustainable supply of raw materials to support the sustainability of the woven fabric industry as a vital component of the local creative economy and Bali's cultural heritage.

Based on data from the Central Statistics Agency (BPS) from 2021 to 2023, the crime rate in Indonesia increased by 345,510 cases. This increase indicates social problems, particularly in the economic sector. Factors such as high unemployment, high poverty rates, and low minimum wages are the main causes driving crime. When people's basic needs are not met, the potential for deviant behavior to meet their living needs tends to increase. This study aims to analyze the influence of unemployment, poverty, and the Provincial Minimum Wage (UMP) on crime rates in Indonesia, both partially and simultaneously. The study uses a quantitative approach with secondary data sources obtained from official BPS publications. The data used is panel data, namely a combination of time series (time span) and cross-section (across regions/provinces) data for the period 2021–2023. Data analysis was performed using a panel data regression model with a Fixed Effect Model (FEM) approach after undergoing the Hausman Test. The results show that partially, the three variables—unemployment, poverty, and the UMP—have a significant influence on crime rates. Simultaneous testing also showed that collectively, these three variables significantly influence the crime rate. Furthermore, the coefficient of determination (R²) test result of 93.5% indicates that unemployment, poverty, and the minimum wage (UMP) variables are able to explain most of the variation in crime rates in Indonesia during the study period, while the remaining 6.5% is influenced by other variables not included in the model. This finding emphasizes the importance of improving the economic conditions of the community through job creation, poverty alleviation, and minimum wage adjustments as preventative measures to reduce crime rates in Indonesia.