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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.

This study aims to analyze the influence of organizational culture and leadership on work discipline in employees of the Woja District Office, both partially and simultaneously. Using a saturated sample, all employees in the agency were directly involved as respondents as many as 45 respondents. Primary data were collected through a structured questionnaire and analyzed using multiple linear regression analysis techniques. The results of the study showed that partially, organizational culture had a positive and significant effect on employee work discipline, while leadership did not have a significant influence independently. However, simultaneous testing proves that organizational culture and leadership together have a positive and significant influence on shaping employee work discipline. These findings indicate that although personal leadership style is not the primary determinant of discipline that has been bound by bureaucratic regulations, the synergy between internalizing strong work culture values and leadership support remains an important combination for an orderly work ecosystem. This research provides practical implications for government organizations in strengthening work culture, increasing leadership effectiveness, and creating a work environment that is able to encourage employee compliance, responsibility, and productivity in a sustainable manner.

This study aims to analyze the implementation of efficiency, effectiveness, and consistency in the Standard Operating Procedure for goods procurement in the purchasing department of The Oberoi Beach Resort, Bali. This research employed a descriptive qualitative approach, with data collected through semi-structured interviews, observation, and documentation. The informants included parties directly involved in procurement activities, namely the Purchasing Manager, Purchasing Supervisor, Purchasing Staff, Receiving Staff, and user departments. Data were analyzed through data reduction, data display, and conclusion drawing and verification. The findings show that the goods procurement SOP has been implemented in a structured manner through Purchase Requisition submission, document approval, Purchase Order issuance, supplier ordering, and goods inspection by the receiving department. The SOP is effective in supporting hotel operational needs and relatively consistent because control stages are maintained even under urgent requests. However, efficiency has not been fully optimized because administrative and approval processes still rely on a manual paper-based system. Other barriers include inventory data input errors, supplier stock limitations, customs constraints, and weather-related distribution disruptions. This study recommends the implementation of e-procurement, stronger interdepartmental coordination, improved inventory data accuracy, and supplier diversification.

This study aims to analyze the effectiveness, contribution, and optimization strategies of Restaurant Tax and Hotel Tax in supporting the sustainability of Local Own-Source Revenue (PAD) of Bogor City. The study employed a descriptive method with a quantitative approach supported by qualitative data. The results indicate that the effectiveness levels of Restaurant Tax and Hotel Tax in Bogor City were categorized as highly effective, with average effectiveness ratios of 107.24%, and 117.74%, respectively. However, the contribution of Restaurant Tax to Local Own-Source Revenue was only 13.55%, which falls into the less contributive category, while the contribution of Hotel Tax was 8.03%, categorized as very low contributive. Based on the SWOT analysis, the reccomended optimization strategies include expanding the tax base through taxpayer data collection and updating, optimizing digital-based payment and monitoring systems, enhancing human resource capacity, strenghening tax education and outreach programs, developing risk based supervision, and improving inter agency cooperation. The implementation of these strategies is expected to increase the revenue and contribution of Restaurant Tax and Hotel Tax in supporting the sustainability of Bogor City’s Local Own-Source Revenue.

This study analyzed the effectiveness and contribution of the Food and/or Beverage Tax, Hotel Services Tax, and Art and Entertainment Services Tax to Jakarta's Regional Own-Source Revenue during 2018–2024, and formulated policy recommendations based on fishbone (Ishikawa) analysis for the lowest-performing tax type. A descriptive quantitative approach supported by qualitative analysis was employed. Secondary data were obtained from Regional Government Financial Reports, while primary data were gathered through in-depth interviews with the Regional Revenue Agency, a tax consultant, an event organizer, and a venue operator. The Hotel Services Tax recorded the highest average effectiveness at 108.25%, followed by the Food and/or Beverage Tax at 100.72%, and the Art and Entertainment Services Tax at 98.88%. All three fell under the very low contribution category, with the Art and Entertainment Services Tax recording the lowest average at 1.16%. Fishbone analysis identified six root cause categories: disproportionate staffing and insufficient socialization (Man), reactive collection mechanisms (Method), limited tax technology implementation (Machine), misclassified business data and weak regulatory dissemination (Material), underreported revenues and high tax rates suppressing voluntary compliance (Measurement), and high entertainment sector elasticity with slow post-pandemic recovery (Environment). Policy recommendations were formulated across all six factors to optimize regional tax revenue.

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.

This research aims to implement Business Intelligence and the TOPSIS method in a Decision Support System for selecting the best-selling products in retail stores through an analytical Dashboard. Retail businesses generate large amounts of transaction data every day, but the data is often only used for operational reporting and has not been optimally utilized for strategic decision making. This study integrates Business Intelligence technology, data Warehouse, ETL process, Dashboard Analytics, and TOPSIS method to analyze product sales patterns and determine the best-selling products based on several criteria such as sales quantity, stock turnover, profit level, customer demand, and sales frequency. The research method uses a system development approach consisting of data collection, dimensional modeling, ETL implementation, TOPSIS calculation, Dashboard design, and system evaluation. The results show that the implemented system can accelerate reporting processes, improve decision-making accuracy, and assist management in identifying strategic products quickly and interactively. The integration of TOPSIS with Business Intelligence Dashboards contributes to effective data-driven decision making in retail management.

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.

Differentiated instruction is an approach aimed at meeting students' learning needs based on their abilities, characteristics, and requirements. This study aims to describe the experiences of a fifth-grade teacher in implementing differentiated instruction at SD 3 Jepang Kudus. The study employs a qualitative approach using a phenomenological design. Data were collected through interviews, observations, and documentation, and subsequently analyzed using the Miles and Huberman model, which encompasses data reduction, data display, and conclusion drawing. Data validity was established through technique triangulation. The results indicate that the teacher perceives differentiated instruction as an effort to provide learning support tailored to students' needs. Implementation is carried out through adjustments to the learning process, guidance, peer tutoring, and the creation of an inclusive learning environment. This implementation has a positive impact on students' academic, social, and emotional development. Challenges encountered include the diversity of students' learning abilities and the suboptimal application of differentiation regarding learning products and assessments. These findings underscore the importance of teacher experience in optimally and sustainably accommodating students' learning needs.

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.

Semarang Regency, one of the regions in Central Java, Indonesia, possesses considerable potential for the development of smallholder beef cattle farming. One strategy to support the growth of this sector is through partnership arrangements, particularly the gaduhan (cattle-sharing) system, which is widely practiced among smallholder farmers. This study aimed to analyze the gaduhan partnership model in smallholder beef cattle farming and its impact on farmers’ income in Semarang Regency. The research was conducted in August 2025 in Banyubiru and Pabelan Districts using a purposive sampling method involving 30 beef cattle farmers. Data were analyzed using multiple linear regression, with farm scale, farming experience, gaduhan partnership system, production costs, and livestock productivity as independent variables, and farmers’ income as the dependent variable. The results revealed that all independent variables jointly had a significant effect on farmers’ income, as indicated by an F-value of 132.412 and a significance level of 0.000. Partially, farm scale, the gaduhan partnership system, production costs, and livestock productivity significantly affected farmers’ income, whereas farming experience had no significant effect. The coefficient of determination (R²) was 0.883, indicating that 88.3% of the variation in farmers’ income could be explained by the model. The gaduhan partnership model in smallholder beef cattle farming in Semarang Regency is characterized by the influence of farm scale, farming experience, partnership arrangements, production costs, and livestock productivity on farmers’ income. The average income generated under the gaduhan partnership system was IDR 11,400,000, with a profit-sharing ratio of 60:40 between the livestock owner and the farmer.

This study aims to analyze the effect of Gross Regional Domestic Product (GRDP), Local Taxes, and Population on Local Own-Source Revenue (PAD) in 35 regencies/cities of Central Java Province during 2021–2023. The study employs a quantitative approach using secondary data obtained from the Central Java Statistics Agency (BPS) and Local Government Budget Realization Reports (LRA). The sample was selected using a census sampling technique and analyzed using multiple linear regression after classical assumption testing. The results indicate that GRDP and Local Taxes have a significant effect on PAD, while Population does not have a significant effect on PAD. These findings imply that local governments should prioritize regional economic growth and optimize local tax collection to strengthen fiscal capacity rather than relying solely on population growth. The novelty of this study lies in its integrated examination of GRDP, Local Taxes, and Population across all 35 regencies/cities in Central Java during the 2021–2023 period, providing updated empirical evidence to support regional fiscal policy and local revenue optimization.

Lake Rawa Pening is one of Indonesia’s priority lakes facing serious ecological pressure due to the rapid proliferation of water hyacinth. This study aims to classify and map the distribution of water hyacinth in Rawa Pening Lake during the 2021–2025 period and to analyze the seasonal distribution patterns of water hyacinth. Sentinel-2 imagery processed on the Google Earth Engine platform was classified using the Random Forest algorithm combined with hybrid sampling and spectral indices (NDVI, NDWI, MNDWI, and SRI). Classification accuracy assessment showed high performance with an Overall Accuracy of 97.45% and a Kappa coefficient of 0.949. The results indicate significant spatial-temporal fluctuations, with the highest coverage recorded in March–April 2021 (855.75 ha) and the lowest in May–June 2022 (108.44 ha). Seasonal-Trend Decomposition using Loess (STL) revealed consistent seasonal patterns, with peak expansion occurring during the rainy season, particularly in January–February. Although initial implementation of lake management policies reduced coverage, subsequent increases suggest that control measures remain insufficiently sustainable. This study demonstrates the effectiveness of cloud-based satellite monitoring for evaluating lake management policies and supporting evidence-based environmental management strategies.

Semarang Regency holds a strategic geographical position as a transit hub along the Semarang–Solo–Yogyakarta corridor, supported by diverse tourist attractions and strong economic performance. Despite recording 744,659 domestic tourist movements in March 2026 based on Mobile Positioning Data, the regency failed to enter the top ten most-visited destinations in Central Java during the 2026 Lebaran holiday, with only 139,816 visits recorded at its ten leading attractions. This yields an indicative conversion rate of approximately 18.8 percent at the Lebaran peak, meaning more than 80 percent of movements passing through the regency did not translate into recorded tourism visits. This study employs a descriptive quantitative method supported by explanatory qualitative analysis (sequential explanatory mixed methods), triangulating four secondary data sources to identify the competitive gap, analyze conversion disparities, and formulate improvement strategies toward Lebaran 2027. Findings indicate that the primary drivers of low conversion are the transit-only behavior of the majority of visitors and accessibility constraints at the Bawen–Ambarawa–Bandungan corridor. The study recommends four priority strategies: integrated single-window digital data management via Application Programming Interface; private-vehicle-based traffic and access management; four anchor-themed festival clusters across 14 sub-districts; and the formalization of Pangsar Sudirman Night Market and Kuda Lumping Festival as official tourism events. Achieving the minimum target of 203,458 visits to enter the top ten requires an increase of at least 63,642 visits (approximately 45 percent above the current recorded baseline).

The internship registration process at the Communication and Information Office of Tegal Regency is still carried out manually, resulting in several problems, such as lengthy registration procedures, difficulties in managing and retrieving data, and the risk of document loss. This study aims to design and develop a web-based internship registration information system that supports the registration, verification, selection, and information delivery processes in an integrated manner. The system was developed using the Waterfall method, which consists of requirements analysis, system design, implementation, and testing stages. The application was developed using the Laravel framework and MySQL database. System testing was conducted using the Black Box Testing method to ensure that all system functions operate according to user requirements.The results indicate that the developed system can simplify the internship registration process, improve data management efficiency, accelerate the selection process, and provide real-time registration status information to applicants. Based on the testing results, all system features function properly and meet the predetermined functional requirements.

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.

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.

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.

Poultry agribusiness is a key driver of food security and rural economic development in developing countries. However, the sector remains vulnerable to infectious diseases such as avian influenza and Newcastle disease, which can disrupt production systems and supply chain continuity. Although previous studies have examined poultry disease control, biosecurity, and supply chain disruption, evidence on how risk and crisis communication supports outbreak management and resilience in developing-country poultry agribusiness remains fragmented. This study applied a systematic literature review (SLR) approach under PRISMA guidelines to synthesize risk and crisis communication strategies in poultry disease management and their contribution to supply chain resilience. Only seven relevant studies published between 2020 and 2025 met the inclusion criteria and were analyzed using the PICO framework. Quality assessment using the Mixed Methods Appraisal Tool (MMAT), combined with systematic data extraction in Microsoft Excel 2021, was conducted to improve methodological transparency and consistency. The novelty of this review lies in integrating communication strategies, enabling and constraining factors, digital tools, One Health perspectives, and public–private collaboration within a single analytical synthesis. The findings indicate that participatory, transparent, and coordinated communication can support disease prevention and crisis preparedness, particularly when strengthened by stakeholder trust, policy support, training, and accessible information channels. However, limited digital literacy, inadequate infrastructure, and cultural barriers may reduce communication effectiveness. Overall, this review highlights the need for inclusive communication systems and collaborative governance to strengthen poultry supply chain resilience in developing countries, while recognizing that the small evidence base limits broad generalization.

This review explores the integration of artificial intelligence in higher education, focusing on its impact on teaching and learning, barriers to adoption, and strategies for sustainable implementation. A narrative review of peer-reviewed literature published from 2023 to 2026 was conducted, emphasizing student and educator perspectives. The findings show that AI improves learning efficiency, supports personalized learning, and enhances academic writing, while also introducing concerns related to academic integrity, algorithmic bias, AI colonialism, and limited formal training. The review suggests that successful adoption depends on institutional support, AI literacy, ethical policy frameworks, and cross-disciplinary professional development. Generative AI should serve as an enhancer rather than a replacement in human-centered education.