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Teacher performance is one of the key factors in determining the quality of education and the achievement of school objectives. Several factors that are assumed to influence teacher performance include transformational leadership style, work motivation, and work discipline. This study aims to analyze the effect of transformational leadership style, work motivation, and work discipline on teacher performance at SMK Negeri 1 Musuk Boyolali. The research employed a quantitative method with descriptive and verificative approaches. The population consisted of 50 teachers, and all members of the population were selected as respondents using a saturated sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression with the assistance of SPSS version 25. The results revealed that work motivation had a positive and significant effect on teacher performance. In contrast, transformational leadership style and work discipline did not have a significant partial effect on teacher performance. However, simultaneously, transformational leadership style, work motivation, and work discipline significantly affected teacher performance. The Adjusted R Square value of 0.324 indicates that these three variables explain 32.4% of the variation in teacher performance, while the remaining 67.6% is influenced by other factors outside the scope of this study. The findings imply that enhancing work motivation should be prioritized in efforts to improve teacher performance, while leadership and work discipline should continue to be strengthened to support a more effective working environment.

Logic gate learning is a fundamental topic in digital electronics; however, the learning process is often delivered theoretically with limited visualization of logic gate operations, making it difficult for students to understand the concepts. This study aims to design and develop an Augmented Reality (AR)-based learning media using a markerless approach with the 3D Object Tracking technique on Android devices. The application was developed using the Multimedia Development Life Cycle (MDLC) method, which consists of the stages of concept, design, material collection, development, testing, and distribution. The developed application provides three-dimensional visualization of logic gates, learning materials, interactive simulations, and quizzes. The application quality was evaluated based on the ISO/IEC 25010 standard, covering the aspects of Functional Suitability, Performance Efficiency, Usability, Compatibility, and Portability. The evaluation results showed that the application achieved a score of 100% in the Functional Suitability, Performance Efficiency, Compatibility, and Portability aspects. Meanwhile, the Usability evaluation obtained scores of 86,6% from respondents who had not previously studied logic gates and 89% from those who had, indicating that the application is categorized as highly feasible. Therefore, the developed markerless Augmented Reality-based learning media can serve as an interactive, engaging, and effective learning alternative for improving students' understanding of logic gate concepts.

As a strategic public policy, the Free Nutritious Meal program serves as a long-term social investment aimed at enhancing the quality of human resources. This study is directed to examine and map the positive contributions of the MBG initiative to the pillars of health, discipline levels, and academic achievement of students through a literature review method. The article search, utilizing keywords such as "Makan Bergizi Gratis," "Implementasi MBG," and "Dampak MBG," yielded 10 relevant scientific articles, which were subsequently analyzed using thematic analysis techniques. The findings indicate that the MBG program exerts a significant positive impact on various dimensions of student development. In the academic aspect, this program improves students' focus, concentration, motivation, and active learning engagement. Health-wise, MBG contributes to improving nutritional status, which supports children's physical and psychological readiness, whereas, in terms of discipline, this intervention is proven to increase attendance rates while reducing tardiness at school. Overall, it is concluded that the MBG program does not merely function to fulfill essential nutritional intake, but also acts to maximize learning effectiveness and student academic performance across all education levels.

The development of sustainable tourism villages requires the implementation of management practices that enhance environmental performance through environmentally oriented leadership, community participation, and stakeholder engagement in achieving sustainability goals. This study aims to examine the influence of green leadership and community involvement on green performance, with employee engagement serving as a mediating variable among the stakeholders and managers of Punten Tourism Village, Batu City. A quantitative approach with an explanatory research design was employed. The study involved all stakeholders and managers of Punten Tourism Village using a saturated sampling technique. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software. The findings reveal that green leadership and community involvement have positive and significant effects on green performance. Both variables also significantly enhance employee engagement, which, in turn, positively and significantly influences green performance. Furthermore, employee engagement partially mediates the relationships between green leadership and green performance, as well as between community involvement and green performance. These findings suggest that improving the environmental performance of tourism villages requires the integration of green leadership, active community involvement, and stronger stakeholder engagement to support the implementation of sustainable tourism practices.

Pierhead casting is a critical activity in toll road infrastructure projects that requires continuous concrete supply to maintain quality and execution time. Factors influencing the smooth casting process include the regularity of truck mixer arrival intervals and the work cycle of the truck concrete pump. This study aims to analyze the effect of truck mixer intervals and truck concrete pump performance on the productivity of pierhead casting at Pierhead P37S on the Solo–Yogyakarta–NYIA Toll Road Project, Section 2 Package 2.1A. The analysis method used field observation through time study techniques to measure the cycle duration of truck mixers and the operating time of the truck concrete pump. The analysis stages included calculating cycle time, productivity, production capacity, and working duration of each equipment. The results show that the truck concrete pump achieved a productivity of 0.425 m³/minute, while the truck mixer reached 0.989 m³/minute. These values were influenced by cycle time, equipment condition, work area condition, execution method, and work volume. Based on duration analysis, the truck concrete pump required about 4.7 hours to complete the casting of 120 m³ of ready-mix concrete, while the truck mixer required 2.022 hours to support the concrete supply process.

This study aims to analyze the effect of capital structure, asset growth, and firm size on firm value in plastic and packaging sub-sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period. Firm value is proxied by Price to Book Value (PBV), capital structure is measured using the Debt to Equity Ratio (DER), asset growth is measured by the asset growth ratio, and firm size is measured using the natural logarithm of total assets. This research employed an explanatory quantitative approach using secondary data obtained from financial statements, annual reports, and stock price data. The sample consisted of 11 companies observed over five years, resulting in 55 panel data observations. Data were analyzed using panel data regression through the Common Effect Model, Fixed Effect Model, and Random Effect Model, with model selection based on the Chow, Hausman, and Lagrange Multiplier tests. The results indicate that capital structure, asset growth, and firm size have no significant effect on firm value, either partially or simultaneously. These findings suggest that firm value in the plastic and packaging sub-sector is not sufficiently explained by financing structure, asset expansion, or company size. Investors are more likely to consider other factors, such as profitability, operational efficiency, cash flow, sales growth, raw material risk, and sustainability prospects. Therefore, companies should improve financial performance, asset efficiency, cost control, and sustainable innovation to enhance firm value.

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.

Advancements in information technology encourage MSMEs to utilize information systems to enhance the effectiveness of their business management. Es Teh Arjuna, an MSME in Tegal City, faces challenges in monitoring partner sales and managing revenue because transactions are recorded manually using disparate methods; this results in slow data recapitulation, a risk of recording errors, and difficulty for the business owner in quickly accessing sales information. This study aims to analyze requirements, design, develop, and test a web-based information system for partner sales and revenue that provides information in  real-time. The Waterfall model was used for system development, while data collection involved observation, interviews, and a literature review. The system was developed using PHP and MySQL and tested via Black Box Testing. The results demonstrate that the system successfully integrates sales data from all outlets into a centralized database, streamlining the management of products, outlets, employees, cashiers, and sales transactions, as well as facilitating the generation of revenue reports for specific periods. Furthermore, the system enables the business owner to monitor sales performance more quickly, accurately, and systematically, thereby supporting decision-making and improving the operational efficiency of Es Teh Arjuna.

This study aims to determine and analyze the impact of the work environment on employee job satisfaction at the Human Resources Development Agency (BPSDM) of Jambi Province. The research is motivated by the importance of a supportive work environment in creating comfort, increasing motivation, and improving employee job satisfaction, since preliminary observations found several work-environment problems such as inadequate room cooling, disrupted toilet water supply, and unstable Wi-Fi network. This study used a quantitative approach with an associative research design. The population consisted of 75 employees, all of whom were used as the sample through a saturated sampling technique. Data were collected using a four-point Likert-scale questionnaire and analyzed with validity tests, reliability tests, classical assumption tests, and simple linear regression using SPSS. The results show that the work environment has a significant impact on employee job satisfaction, evidenced by a significance value smaller than 0.05, with a coefficient of determination of 61.8 percent. This indicates that the better the work environment, both physical and non-physical, the higher the employee job satisfaction. This research is expected to serve as a consideration for the agency in improving the quality of the work environment to support employee job satisfaction and performance.

Heat stress is a major constraint in broiler production systems located in humid tropical climates, where high ambient temperature and relative humidity impair growth performance, feed efficiency, and animal welfare. This systematic review synthesizes peer-reviewed studies published between January 2015 and December 2025 evaluating environmental housing designs and cooling strategies for mitigating heat stress in broiler chickens. This systematic review followed the PRISMA 2020 guidelines and synthesized peer-reviewed studies retrieved from Scopus, Web of Science, and ScienceDirect, published between January 2015 and December 2025. From 500 records initially identified, 26 studies fulfilled the predefined eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that evaporative cooling systems, tunnel ventilation, and automated climate control technologies consistently reduced indoor temperature (2–6°C) and improved body weight gain, feed conversion ratio (FCR), and mortality rates under hot-humid conditions. However, cooling efficiency was strongly influenced by ambient humidity, necessitating integrated and adaptive environmental control approaches. Smart sensor-based systems further enhanced microclimate stability and thermal uniformity within broiler houses. Beyond performance improvements, optimized environmental management reduced physiological stress indicators, including heterophil-to-lymphocyte ratios and corticosterone levels. Overall, integrated, humidity-adaptive, and energy-efficient cooling strategies are essential to sustain productivity, welfare, and climate resilience in tropical broiler production systems.

Cattle farming plays a strategic role in rural economic development by generating employment, supplementary household income, and contributing to food and nutritional security. However, in Indonesia, most smallholder cattle enterprises remain traditional and small-scale, leading farmers to treat livestock farming primarily as a secondary livelihood. While previous studies have largely focused on technical adoption and production performance, limited attention has been given to farmers’ psychological interest as a foundation for sustaining livestock enterprises. Therefore, this study aims to analyze the level of community interest in cattle farming and examine the influence of farmers’ characteristics (age, education level, herd size, number of family dependents, farming experience, and primary income) on such interest. A quantitative survey was conducted involving 34 cattle farmers in Taji Village, Jabung District, Malang Regency, selected using total sampling. Data were collected through structured questionnaires and analyzed using multiple linear regression. The findings reveal that community interest in cattle farming is generally high, as reflected in emotional (3.93), cognitive (3.81), and conative (3.74) dimensions measured on a four-point Likert scale. Regression results indicate that age has a significant positive effect (p = 0.022), whereas farming experience has a significant negative effect (p = 0.025) on interest levels. Other variables show no statistically significant influence. These findings highlight that psychological engagement in cattle farming is shaped more by demographic and experiential factors than by formal education or income level. The study contributes to the literature by positioning interest as a psychological determinant of livestock sustainability. Policy implications emphasize the urgency of risk-mitigation extension programs to address farmer burnout, incentivized intergenerational knowledge transfer, and cooperative-based institutional support to ensure smallholder livestock sustainability.

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

This study compared the performance of SARIMA and Prophet models in forecasting daily close prices of three major Indonesian banking stocks: BBCA, BBRI, and BMRI, using data from January 2020 to March 2026. Data were retrieved via the yfinance library, preprocessed, and split into 80% training and 20% testing sets. SARIMA modeling followed the Box-Jenkins procedure, while Prophet was configured with a Lag-1 regressor, weekly and monthly seasonality, Indonesian public holidays, and log transformation. Model performance was evaluated using MAPE, MSE, and Dstat metrics. Results showed that SARIMA outperformed Prophet in MAPE and MSE across all six stock-variable combinations, with MAPE values ranging from 1.3368% to 1.9386% for SARIMA and 1.5992% to 2.2300% for Prophet. However, Prophet demonstrated marginally higher Dstat values in several series. Both models achieved "Very Good" forecasting accuracy. A web-based forecasting system was also developed using Streamlit to make the models accessible to investors.

This study investigates the relationship between green practices and corporate tax avoidance, focusing on green accounting, environmental performance, and corporate social responsibility (CSR) among 19 Indonesian publicly listed companies from 2021 to 2024. The research aims to examine whether environmentally responsible strategies influence firms’ tax behavior and how sustainability practices mediate this relationship. A quantitative approach was employed, collecting data from corporate financial statements, ESG reports, and sustainability disclosures. The analysis included descriptive statistics, correlation tests, and pooled ordinary least squares regression to explore the effects of green accounting, environmental performance, and CSR on the effective tax rate (ETR) as a proxy for tax avoidance. Results indicate that green accounting is positively associated with higher ETR, suggesting reduced tax avoidance, while CSR negatively impacts ETR, implying that sustainability initiatives can be strategically used to mask aggressive tax planning. Environmental performance alone does not significantly affect tax behavior. These findings highlight the importance of transparency through green accounting to promote ethical tax practices, while cautioning that CSR may serve as a reputational tool rather than a mechanism for reducing tax avoidance. The study contributes to theoretical understanding in sustainability and corporate governance and offers practical insights for policymakers and corporate managers to align environmental and fiscal responsibilities.

Financial distress has become a critical issue for companies operating in highly competitive and capital-intensive industries, making effective corporate governance and the efficient utilization of intangible resources increasingly important for ensuring long-term financial sustainability. This study aims to examine the effect of Good Corporate Governance on Financial Distress and to investigate the mediating role of Intellectual Capital in this relationship. The research employs a quantitative explanatory approach using panel data from 23 energy and mining companies listed on the Indonesia Stock Exchange during the 2021–2024 period, resulting in 92 firm-year observations. Secondary data obtained from annual reports and financial statements were analyzed using descriptive statistics, classical assumption tests, panel regression analysis, and mediation analysis. The findings indicate that Good Corporate Governance has a significant negative effect on Financial Distress, suggesting that stronger governance practices improve financial stability and reduce the likelihood of financial difficulties. Intellectual Capital also demonstrates a significant negative effect on Financial Distress and partially mediates the relationship between Good Corporate Governance and Financial Distress. These findings imply that effective governance combined with the strategic management of intellectual resources enhances organizational resilience and supports sustainable corporate performance. The study contributes to the literature by integrating governance quality and intellectual capital into a single framework for explaining financial distress and provides practical insights for managers, investors, and policymakers in strengthening corporate sustainability.

Digital technology advancements have greatly changed how small businesses manage their finances. This change is not only about recording transactions, but it also affects financial control, report preparation, and business decision making. Accounting Information System (SIA) came about as a solution to help small and medium businesses easily, organize, and accurately record their finances, as well as provide reliable financial information. This study aims to explain the role of the Accounting Information System in making it easier to manage the finances of small and medium businesses in the digital age, the benefits gained from using it, and the challenges faced during its implementation. The method used in this research is a literature review, which involves examining books, journals, and other related scientific publications, followed by analysis using a descriptive qualitative approach. Research findings show that using a digital-based Accounting Information System can improve business efficiency, speed up financial reporting, increase transparency, and make it easier for small and medium-sized businesses to get funding access. However, the implementation of the Accounting Information System still faces challenges such as a lack of technological understanding, limited infrastructure, and high implementation costs. Therefore, collaboration and support from various parties are needed to ensure the accounting information system is implemented effectively and sustainably in small and medium businesses.

Low courage in arguing and high communication apprehension often become major obstacles for high school students when facing academic presentations. This Community Service (PkM) program aims to strengthen students' communicative rhetoric skills and public speaking abilities at SMA Negeri 11 Makassar. Based on a needs assessment, partner students need techniques for persuasive public speaking, self-evaluation tools for their communication performance, and strategies for managing mental anxiety. The program was carried out through a practice-based reflective workshop involving 25 students from the school's intra-organizational board. Quantitative evaluation results showed a significant improvement in students' speaking competence, with the average score increasing from 58.4 (pre-test) to 86.2 (post-test). This result recorded an increase in the score difference by 27.8 points, which is equivalent to a competence growth of 47.6%, with the students' classical completeness rate reaching 92%. Qualitatively, observations and interviews confirmed changes in students' speaking behavior, which became more organized, expressive, and varied, and they were able to reduce anxiety independently. A tangible output of this activity is the Pocket Guide for Practical Public Speaking Based on Reflective Practice for partner students.

The emergence of Internet of Things (IoT) technology has opened up considerable possibilities for automation systems aimed at enhancing energy efficiency in both home and office settings. This study focuses on the creation and deployment of an IoT-driven Smart Home system utilizing ESP32 for the automatic and manual supervision and regulation of electrical appliances within the Employee Dormitory of the Institute for Lecturer Performance Development (LPKD). The established system employs a Passive Infrared (PIR) sensor for detecting human presence and a Light Dependent Resistor (LDR) sensor to assess the intensity of light in the room. The data from these sensors is analyzed by the ESP32 microcontroller, which controls lights and fans automatically through relay modules based on the surrounding conditions. Furthermore, the system is linked to the Blynk application and the Telegram Bot API to enable remote operation and immediate notifications. The methodological approach taken in this research is Research and Development (R&D) employing a prototyping method. The assessment outcomes show that the system functions reliably, with success rates for sensor detection and appliance management exceeding 95%. The introduction of this system aims to boost electrical energy efficiency, improve user experience, and facilitate the adoption of IoT-centered smart facility management within the LPKD framework.

The increasing competition in the coffee shop industry requires Micro, Small, and Medium Enterprises (MSMEs) to continuously improve service quality and product quality to maintain customer satisfaction and business sustainability. Ngopi Pojok 98 experienced a decline in revenue over several months, indicating potential problems related to service performance and product consistency. This study aims to analyze the improvement of customer satisfaction after implementing service quality and product quality enhancements at Ngopi Pojok 98. This research employed a quantitative approach using a One Group Pretest–Posttest Design. The sample consisted of 50 respondents selected through purposive sampling. Data were collected using questionnaires administered before and after the improvement program and analyzed using validity tests, reliability tests, the Shapiro–Wilk normality test, and the Paired Sample t-Test with the assistance of SPSS software. The results showed that all instruments were valid and reliable. The normality test indicated a significance value of 0.291 (>0.05), confirming normal data distribution. Furthermore, the Paired Sample t-Test produced a significance value of 0.000 (<0.05), indicating a significant difference in customer satisfaction before and after the improvements. The average satisfaction score increased from 29.68 to 34.88. These findings confirm that enhancing service quality and product quality effectively improves customer satisfaction in coffee shop MSMEs.

This study proposes a computer vision-based system for automatically verifying the use of Personal Protective Equipment (PPE) in industrial environments. The system integrates the YOLOv8 object detection model, OpenCV for image processing, and a State Machine mechanism to manage the verification workflow. The verification process begins with employee identification through ID card scanning, followed by real-time detection of the head, safety helmet, and face mask using a camera, before generating a final PASS or FAIL decision. System evaluation was conducted using 250 testing scenarios to assess both model and system performance. The results show that the YOLOv8 model achieved an mAP@50 of 93.9%, while the overall verification system obtained 98.4% accuracy, 98.4% precision, 100% recall, and a 99.2% F1-score. The implementation of the State Machine contributed to a more stable and consistent verification process by ensuring that each inspection stage was executed in the correct sequence. These findings demonstrate that the proposed system can effectively support automated PPE compliance monitoring and has the potential to enhance occupational safety management in industrial workplaces.