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Employee performance is a critical element in organizational success, particularly in labor-intensive industries such as garment manufacturing. This study aims to analyze the effect of work stress (X1) and work environment (X2) on employee performance (Y) in garment industry companies in Semarang Regency. A quantitative descriptive approach with multiple linear regression analysis was employed. The population and sample comprised 96 employees using total sampling. Data were collected through a Likert-scale questionnaire (1–5) with 10 items per variable. All classical assumption tests (normality, multicollinearity, heteroscedasticity) were satisfied. Reliability tests yielded Cronbach's Alpha of 0.866 (work stress), 0.941 (work environment), and 0.937 (employee performance), confirming instrument reliability. Results indicate: (1) work stress has no significant partial effect on employee performance (t = 1.581; sig. = 0.117); (2) work environment has a significant positive partial effect on employee performance (t = 9.618; sig. = 0.000); (3) simultaneously, both variables significantly affect employee performance (F = 56.630; sig. = 0.000) with a coefficient of determination (R²) of 54.9%. These findings confirm that optimizing the work environment both physical and non-physical is the primary strategic priority for enhancing employee performance in the garment industry.

Earnings management remains a major concern in the banking industry because it may reduce the credibility and reliability of financial reporting. At the same time, Corporate Social Responsibility (CSR) has increasingly been recognized as an important governance mechanism that enhances corporate transparency, accountability, and stakeholder trust. However, previous studies have reported inconsistent findings regarding the role of firm size in the relationship between CSR and earnings management. Therefore, this study aims to examine the effect of CSR on earnings management and investigate whether firm size acts as a mediating variable in Indonesian banking companies. This research employed a quantitative explanatory approach using panel data from 22 banking companies listed on the Indonesia Stock Exchange during the 2022–2024 period, resulting in 66 observations. Data were analyzed using panel data regression with the Fixed Effect Model and mediation analysis through the Sobel test using EViews 12. The findings indicate that CSR has a significant negative effect on earnings management and a significant positive effect on firm size. Furthermore, firm size partially mediates the relationship between CSR and earnings management, indicating that CSR reduces earnings management both directly and indirectly through organizational scale. These findings provide theoretical support for stakeholder and legitimacy theories and offer practical insights for managers and regulators in strengthening CSR implementation to improve financial reporting quality and corporate transparency.

Vocational high school graduates are expected to master not only technical competencies but also interpersonal skills that support their readiness for the workplace. Field observations at SMK Pasundan 1 Bandung indicate that students in the Online Business and Retail (Bisnis Daring dan Ritel) program still show a low level of assertive communication, evidenced by their difficulty in expressing opinions confidently, refusing requests politely, and handling direct interaction with customers. This community service program (Program Kemitraan Masyarakat/PKM) was designed to develop students' assertive communication skills through the role-play method. The program consists of five stages: needs analysis, development of training materials and role-play scenarios, training and practice, evaluation and feedback, and continued mentoring. Students are placed in simulated roles such as seller, buyer, and observer in scenarios involving customer service, complaint handling, price negotiation, and teamwork. The information-dissemination approach combines material delivery, discussion, hands-on practice, and technical guidance. The program is expected to increase students' understanding of assertive communication concepts, strengthen their interpersonal communication skills, and provide an applied learning experience relevant to the demands of the retail and customer-service industry. The expected output of this activity is a scientific article published in a nationally accredited (Sinta) journal.

This study examines the effects of participative leadership, organizational culture, and work motivation on employee performance through job satisfaction at the Department of Industry and Trade of East Kutai Regency. A quantitative approach with an explanatory research design was employed. The population comprised 108 civil servants and regional contract employees, all of whom were included as research respondents. Data were collected through a structured questionnaire and analyzed using validity and reliability tests, multiple linear regression, t-test, F-test, and path analysis. The findings demonstrate that participative leadership, organizational culture, and work motivation have positive and significant effects on job satisfaction. Partially, these three variables also exert positive and significant effects on employee performance. In addition, job satisfaction was found to have a positive and significant effect on employee performance. The results of the path analysis further indicate that job satisfaction mediates the relationship between participative leadership, organizational culture, work motivation, and employee performance. These findings suggest that efforts to improve employee performance in public sector organizations require the strengthening of participative leadership practices, the development of a supportive organizational culture, the enhancement of work motivation, and the sustainable management of job satisfaction. Accordingly, job satisfaction constitutes an important mechanism through which organizational factors contribute to improved employee performance.

This study aims to compare the performance of three boosting algorithms, namely XGBoost, LightGBM, and CatBoost, to predict the success of MSMEs. The data used consists of 250 entries with 13 attributes that include business actor characteristics, initial capital, industry experience, financial record-keeping, internet utilization, business planning, partnerships, and the target variable success. The pre-processing stage includes checking for missing values, standardizing numerical attributes, and splitting the data into 80% training data and 20% test data. The evaluation results show that XGBoost provides the best performance with an accuracy of 0.92, precision of 0.8333, recall of 0.8333, F1-score of 0.8333, and ROC-AUC of 0.9715. LightGBM has an accuracy of 0.88, while CatBoost achieves an accuracy of 0.90. The research results show that XGBoost has the best ability to classify successful and unsuccessful MSMEs. The feature importance results also show that the success of MSMEs is influenced by a combination of several key factors. This research emphasizes that boosting algorithms are effectively used as predictive models to support the analysis of MSME success.

Hypertension is one of the leading non-communicable diseases contributing significantly to cardiovascular morbidity and mortality worldwide. Despite the availability of extensive electronic medical record data in healthcare institutions, these data are often utilized only for administrative reporting rather than predictive analysis. Consequently, opportunities to identify age groups with a higher probability of developing hypertension remain underutilized. This study aims to implement the Naïve Bayes classification algorithm to analyze age distribution and classify the risk of hypertension among patients using healthcare data. The research adopted the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology, including business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Patient medical record data consisting of demographic and clinical attributes, including age, systolic blood pressure, diastolic blood pressure, body weight, gender, and hypertension status, were processed using the Naïve Bayes algorithm. Model performance was evaluated using a confusion matrix by measuring accuracy, precision, recall, specificity, and balanced accuracy. The implementation demonstrates that the Naïve Bayes algorithm is capable of classifying hypertension risk efficiently while providing probabilistic information regarding age groups with a higher tendency to experience hypertension. The resulting classification model offers an effective decision-support tool for healthcare providers in conducting targeted screening, preventive interventions, and evidence-based health planning. The findings also indicate that data mining techniques can transform routinely collected medical records into valuable clinical knowledge for early hypertension prevention and healthcare decision-making.

The fashion industry produces large amounts of textile waste, necessitating sustainable design solutions such as zero-waste fashion design. This study examines the application of zero-waste fashion using the fabric manipulation tucking technique to ready-to-wear clothing. The objective of this study is to determine how the tucking technique can be applied to zero-waste pattern design to produce efficient and aesthetically pleasing clothing. The research method used is Research and Development (R&D) with the ADDIE development model.The research results include five stages: In the analysis stage, the author examines the concepts of zero waste, the tucking technique, and ready-to-wear clothing. In the design phase, two zero-waste pattern concepts with variations of tucking were created as trials. Development was carried out through design validation and revisions based on expert input. Implementation was carried out with product production based on the refined final design. Finally, evaluation was carried out through product validation and final revisions until the product was finished. The results show that zero-waste design using the tucking technique can be implemented systematically, reducing waste and enhancing product uniqueness.Recommendations in this study highlight the importance of tucking stitch direction, accurate placement of zero-waste patterns, and the use of excess fabric as an additional tucking accent to reduce looseness and optimize fabric usage. Selection of appropriate fabrics to support the aesthetic results and effectiveness of the Tucking technique in ready-to-wear fashion products.

Embroidery is one of Indonesia’s traditional craft arts that has developed over time and continues to attract people from various social backgrounds. Embroidery techniques are commonly applied to fashion products as well as household items. The diversity of embroidery motifs and techniques provides aesthetic value and uniqueness to each product, making embroidery an important element in the development of the fashion industry. This opportunity can encourage students of the Fashion Design Program at AKS Ibu Kartini to develop their entrepreneurial potential through creativity in manual embroidery. This study employed a quantitative approach using multiple linear regression analysis as the data processing technique to determine the influence of internal factors on the entrepreneurial motivation of Fashion Design students at AKS Ibu Kartini. The research sample consisted of 65 respondents. The findings revealed that, simultaneously, the four independent variables had a significant effect on entrepreneurial motivation, with a coefficient of determination (R²) value of 0.910. This indicates that 91% of the variation in entrepreneurial motivation can be explained by technical knowledge (X1), technical skills (X2), creativity and innovation (X3), and entrepreneurial mindset (X4), while the remaining 9% is influenced by other factors outside this study. Partially, variables X1, X2, and X4 showed a positive and significant effect on entrepreneurial motivation, whereas X3 demonstrated a negative and significant effect. This finding indicates that creativity without market orientation may reduce students’ motivation to engage in entrepreneurship. The implications of this study emphasize the importance of improving students’ knowledge, skills, and entrepreneurial mindset. Furthermore, proper guidance is needed to ensure that students’ creativity and innovation are aligned with market demands in order to optimally enhance entrepreneurial motivation.

This literature review synthesizes findings from fifteen peer‑reviewed studies published between 2020 and 2026 to examine the determinants of sustainable competitive advantage in the furniture industry. The analysis reveals that green innovation, environmental performance, and market orientation interact as core drivers of competitiveness, supported by theoretical perspectives including the Resource‑Based View, Natural Resource‑Based View, Institutional Theory, Circular Economy, and Strategic Management frameworks. The review highlights how internal capabilities, regulatory compliance, and responsiveness to consumer preferences collectively shape the ability of micro, small, and medium enterprises to adapt to sustainability demands in global markets. Evidence shows that eco‑innovation practices, waste recovery strategies, and clustering models enhance efficiency and legitimacy, while indicators of green growth and brand performance provide practical tools for evaluating sustainability outcomes. The synthesis underscores that competitive advantage in this sector is not determined by isolated variables but by systemic integration across resources, operations, and market dynamics. This study contributes theoretically by consolidating fragmented insights into a coherent conceptual model and practically by offering guidance for enterprises and policymakers to foster green transformation. The findings emphasize the urgency of aligning industrial practices with ecological integrity and suggest that future research should examine cross‑country variations, longitudinal impacts, and the integration of digital technologies with sustainability strategies to strengthen the resilience of furniture enterprises in the global economy.

This study examines the transformation of business education curricula in response to the rapid expansion of the digital economy. The increasing integration of artificial intelligence, big data analytics, cloud computing, and digital platforms has significantly reshaped industrial demands and professional competencies. Using a qualitative research approach and content analysis, this study explores the challenges and strategic opportunities associated with curriculum transformation in higher education institutions. The findings reveal that universities face critical challenges related to technological infrastructure, faculty readiness, curriculum relevance, and industry alignment. However, digital transformation also provides opportunities for interdisciplinary learning, experiential education, global collaboration, and technology-driven innovation. The study emphasizes the importance of adaptive leadership, faculty development, industry partnerships, and student-centered pedagogies in supporting sustainable curriculum reform. Ultimately, transforming business education curricula is essential for preparing graduates with digital competencies, critical thinking abilities, and innovative skills necessary to compete effectively in the global digital economy.

The fast fashion industry has actually become the second largest contributor to textile waste in the world due to rapid production cycles, high consumer demand, and the use of synthetic materials that are difficult to biodegrade. This phenomenon causes serious environmental impacts such as water pollution, greenhouse gas emissions, accumulation of solid waste, and microplastic pollution that threatens marine ecosystems. In Indonesia, although environmental regulations such as Law Number 32 of 2009 concerning Environmental Protection and Management and Law Number 18 of 2008 concerning Waste Management exist, the implementation of fast fashion waste management still faces various obstacles. This study aims to analyze the implementation of waste management regulations in the fast fashion industry in Indonesia and to examine why the Extended Producer Responsibility (EPR) mechanism is necessary as a legal instrument for textile waste management. The method used is normative juridical with an ecological approach, utilizing primary and secondary legal materials, as well as qualitative-descriptive and comparative analysis with France, the Netherlands, and Sweden. The findings reveal four main legal gaps: the absence of a definition for post-consumer textile waste, the lack of a binding take-back mechanism for producers, weak fiscal instruments supporting EPR, and the absence of ecodesign obligations. The implication of this study highlights the need for regulatory reconstruction that specifically addresses the responsibility of fast fashion producers throughout the product life cycle to achieve more effective and sustainable waste management.               

This study investigates the integration of digital twin technology and machine learning for predictive analysis in smart mechanical systems. The research emphasizes the role of intelligent computational frameworks in improving industrial monitoring, predictive maintenance, and operational efficiency within Industry 4.0 environments. A qualitative content analysis approach was employed by reviewing scientific literature, industrial reports, and previous studies related to digital twins, artificial intelligence, and predictive analytics. The findings indicate that digital twin architectures supported by machine learning algorithms can significantly enhance real-time monitoring, fault prediction accuracy, and maintenance optimization. The integration of IoT devices, cloud computing, and intelligent analytics also improves industrial sustainability, reduces operational downtime, and supports data-driven decision-making processes. Furthermore, the study identifies several technological challenges, including cybersecurity risks, data integration complexity, and computational limitations. Overall, the proposed intelligent digital twin framework provides a promising approach for future industrial innovation and sustainable smart mechanical system management

In an increasingly competitive business environment, particularly within the tourism industry, an organisation's ability to innovate and design effective strategic planning has become a critical factor in sustaining and improving organisational performance. This study aims to analyse the effect of innovation and strategic planning on organisational performance at Kampung Coklat Blitar Educational Tourism. This study employed a quantitative approach, with data collected through questionnaire distribution involving 53 respondents. The sampling was conducted using a saturated sampling technique (census), in which all members of the population were used as research samples. The sampling criteria consisted of senior-level active employees with a minimum of eight years of work experience and managers at Kampung Coklat Blitar Educational Tourism. Data analysis was carried out using the SPSS software. The results of the study indicate that innovation has a positive and significant effect on organisational performance with a P-value of 0.006 and a T-statistic of 2.869. Furthermore, strategic planning also has a positive and significant effect on organisational performance with a P-value of < 0.001 and a T- statistic of 5.573.

Kampung Batik Okra, located in Kranggan Urban Village, Bubutan District, Surabaya City, represents a community-based creative economy initiative officially inaugurated on 28 December 2022 by the Surabaya City Government. This study aims to analyze the facilitating role of the urban village administration in strengthening the creative economic capacity of residents through the batik industry, as well as to identify supporting and inhibiting factors for community empowerment in Kampung Batik Okra. A descriptive qualitative approach was employed, with data collected through in-depth interviews, participatory observation, and document analysis. Informants were purposively selected, encompassing village government officials, batik group administrators, artisans, and academic facilitators. The findings reveal that the urban village administration performs three principal facilitative roles: (1) facilitation of training and skill enhancement; (2) facilitation of market access and promotion; and (3) facilitation of multi-stakeholder partnerships. These roles contribute significantly to the strengthening of residents’ creative economic capacity, as evidenced by an increase in active artisans, product diversification, and expanded marketing networks. Nevertheless, limited human resource capacity within the village administration, inconsistent community participation, and restricted access to capital remain structural barriers requiring more systemic policy interventions. This research offers a conceptual framework of empowerment-based facilitating roles for urban villages, which may serve as a reference for developing creative economy villages in Indonesian urban areas.

This study aims to analyze the role of talent management and employee experience in enhancing employee loyalty in the e-commerce industry through a non-empirical, conceptual approach. The study employs a qualitative design with a mixed-methods literature synthesis to construct a model of the relationship between talent management, work experience, and digital workforce loyalty. Data were obtained through a review of reputable international and national scientific literature addressing talent management, employee experience, employee engagement, retention, and employee loyalty in the digital and e-commerce sectors from 2020 to 2026. Analysis was conducted using thematic synthesis and comparative conceptual analysis, with the high turnover rate in the e-commerce industry serving as the primary interpretive context. The research findings indicate that employee loyalty is fostered through the integration of competency development, career development, rewards and recognition, employer branding, work flexibility, organizational communication, and psychological safety. Employee experience strengthens employee engagement and organizational commitment, while talent management enhances perceptions of organizational support and professional career sustainability. The study’s conceptual model demonstrates that the integration of these two variables contributes to workforce retention, organizational stability, productivity, and the enhancement of e-commerce companies’ competitiveness in a competitive digital business environment

The rapid development of information technology drives various business sectors, including the beauty and health industry, to adopt digital systems in their operational management. A Beauty Clinic, a medium-scale aesthetic clinic, faces significant operational challenges in managing human resources, finance, and digital marketing in an integrated manner. This study aims to analyze the existing manual operational system of A Beauty Clinic using the PIECES framework (Performance, Information, Economy, Control, Efficiency, Service), design and configure an Odoo ERP Community Edition implementation integrating the HR, Invoicing/Point of Sale, and Social Marketing modules, and evaluate the operational efficiency improvements achieved. The research employed a qualitative descriptive approach with a case study method and Rapid Application Development (RAD) as the system development methodology. Data was collected through direct observation and semi-structured interviews. The results show that the manual system experienced critical problems across all six PIECES dimensions. Post-implementation evaluation indicates an estimated 80% reduction in the secretary's administrative workload (from 20–25 hours to 3–5 hours per month), over 90% reduction in payroll error frequency, and an 87% reduction in transaction processing time per cashier transaction. The implementation of role-based access control and complete audit trails fundamentally addressed the security vulnerabilities identified in the as-is analysis. This study demonstrates that Odoo Community Edition is an effective, comprehensive, and cost-efficient ERP solution for small and medium-scale beauty clinics seeking to transform from fragmented manual systems to integrated, data-driven information systems.

Chemical exposure during the dyeing process in the Textile industry has the potential to cause health problems, particularly allergic reactions mediated by Immunoglobulin E (IgE). Non-compliance with the use of Personal Protective Equipment (PPE) may increase the risk of chemical exposure through inhalation and skin contact, thereby triggering an allergic immune response characterized by elevated total IgE levels in the blood. This study aimed to determine the relationship between compliance with the use of Personal Protective Equipment (PPE) and total Immunoglobulin E (IgE) levels among Textile industry workers. This research was an analytic observational study with a cross-sectional design. The sample consisted of 15 Textile industry workers who met the inclusion and exclusion criteria, selected using purposive sampling technique. Data on PPE compliance were obtained through questionnaires and interviews, while total IgE levels were measured using the Electrochemiluminescence Immunoassay (ECLIA) method. The relationship analysis was conducted using Fisher’s Exact test. The results showed a significant relationship between PPE compliance and total IgE levels (p<0.05). It can be concluded that there is a significant association between compliance with the use of Personal Protective Equipment and total Immunoglobulin E (IgE) levels among Textile industry workers.

This study aims to analyze the influence of product quality and service quality on repurchase intention through customer satisfaction at Famicafe Surabaya. The background of this research is driven by the rapid growth of the retail cafe industry in Surabaya and a recorded 23.8% decline in total transaction volume at Famicafe during the final quarter of 2025. This study employs a quantitative approach involving 100 respondents selected via purposive sampling, and data analysis was conducted using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results indicate that product quality does not have a significant direct effect on repurchase intention. However, service quality and customer satisfaction were found to have a positive and significant influence on repurchase intention. Furthermore, product quality and service quality significantly influence customer satisfaction. Crucially, customer satisfaction acts as a full mediator linking product quality to repurchase intention and as an essential mediator in the relationship between service quality and repurchase intention. These findings confirm that to foster loyalty and boost repurchase intention at Famicafe Surabaya, product and service excellence must be effectively translated into actual customer satisfaction.

The era of globalization and accelerated digital transformation has given rise to increasingly competitive job markets, requiring every individual to possess adequate skills, confidence, and abilities to face professional demands. In this situation, Generation Z, as a productive age group, still faces various obstacles related to job readiness, for example, a lack of confidence in meeting job expectations and a low mastery of non-technical skills required by industry. This research intends to assess the influence of self-efficacy and soft skills on the employment preparedness of Generation Z in Tasikmalaya Regency using quantitative approaches. The sample comprised 100 participants who were chosen using a non-probability sampling technique, specifically purposive sampling. Data collection employed an ordinal-scale questionnaire, and data analysis was conducted using multiple linear regression testing. The findings indicate that self-efficacy has a partial, positive, and significant influence on job readiness. A similar impact is also demonstrated by the soft skills variable, where these non-technical skills are proven to accelerate individual readiness. When tested simultaneously, the combination of self-efficacy and soft skills plays a crucial role in strengthening the job readiness of Generation Z in Tasikmalaya Regency. These findings emphasize that the combination of self-confidence and interpersonal and intrapersonal competencies is the main foundation for facing the world of work. Therefore, this study offers practical implications regarding the urgency of strengthening both aspects through academic pathways, training programs, and stimulating work experiences to produce a Generation Z capable of optimally responding to the dynamics of industry needs.

Digitalization in the fitness industry is increasingly essential to improve efficiency and service quality. However, many fitness centers still manage data manually, including KRESNA GYM, which faces challenges in member registration, workout scheduling, and facility information delivery. This study aims to design a web-based e-fitness application using the Laravel framework to support digital service management. The development follows the Waterfall model through stages of requirement analysis, design, implementation, testing, and evaluation. The application includes features such as a landing page, admin/member login and registration, management dashboards, workout schedules, equipment guides, and supplement listings. Black-box testing confirms that all features function as expected. This system simplifies administrative processes and enhances member experience, making it effective in supporting digital transformation at KRESNA GYM.