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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.

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).

One of the key sectors driving regional economic growth which boosts local revenue, creates jobs, and fosters regional development is tourism. This study aims to analyze the state of human resources (HR) in the management of tourist attractions in Semarang Regency and to formulate strategies for their improvement. The method used is qualitative descriptive research through observation, interviews, and documentation, with analysis employing the Human Capital Index (HCI) and SWOT analysis. The results indicate that destination facilities are generally adequate, but service quality and the availability of information remain suboptimal. An HCI score of 2.84 (moderate category) indicates that HR capacity, competence, and development still need to be improved. Therefore, HR strengthening strategies are needed through capacity building, competency-based training, and performance management enhancement to improve service quality and destination competitiveness.

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.

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.

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.

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.

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 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. 

This community-based project aimed to analyze the cash management system of the micro, small, and medium enterprise (MSME) Bakpia Juwara Satoe and develop recommendations to improve the company's financial performance. Cash management is a crucial but often overlooked aspect of MSME financial management, which can lead to cash flow problems, inaccurate record keeping, and poor management decisions. The methodology used included qualitative data collection through direct observation, in-depth interviews, and financial statement analysis. The project findings revealed that Bakpia Juwara Satoe lacked a functioning cash management system. There was no separation between cash receipts and disbursements, no standardized system for handling cash, and transaction recording remained manual and inconsistent. As part of the project, standard operating procedures (SOP) for cash management were developed, financial accounting training was conducted, and support was provided in creating simple cash flow statements. Following the implementation of these measures, record accuracy increased by 78%, and cash losses were reduced. It was determined that the implementation of efficient cash management contributed significantly to the improvement of Bakpia Juwara Satoe's financial performance.

This study examines the financial performance of PT Unilever Indonesia Tbk during the 2023–2025 period by evaluating key financial indicators, namely the Current Ratio (CR), Debt to Equity Ratio (DER), Return on Assets (ROA), and Return on Equity (ROE). The study aims to assess the company's financial condition and analyze the impact of its business transformation strategy on financial performance. A descriptive quantitative approach was employed using secondary data obtained from the company's published annual financial reports. Data analysis focused on comparing financial ratio trends over the three-year period to evaluate liquidity, solvency, and profitability performance. The findings indicate that the company's financial performance experienced fluctuations during the business transformation process. Liquidity and solvency gradually improved toward the end of the observation period, reflecting stronger short-term financial capability and a healthier capital structure. Profitability also demonstrated increased efficiency in utilizing company assets, although changes in equity returns indicated adjustments in capital management during the transformation process. Overall, the implementation of the company's transformation strategy contributed positively to strengthening financial performance and improving resilience in responding to changing business conditions and market competition. This study provides useful insights for management, investors, and other stakeholders in evaluating the effectiveness of corporate transformation strategies through financial ratio analysis and highlights the importance of maintaining financial stability to support sustainable business growth.

The purpose of this study is to analyze the influence of Corporate Social Responsibility (CSR), Financial Distress, and Altman Z-Score on Dividend Decisions in automotive sector companies listed on the Indonesia Stock Exchange (IDX) for the 2020–2025 period. This study is motivated by fluctuations in the Dividend Payout Ratio (DPR) in the automotive sector, which indicates changes in company dividend policy due to economic conditions, financial performance, and non-financial factors that influence management decision-making. The research method used is a quantitative approach with a causal associative research type to examine the relationship between the independent and dependent variables. The study population consists of automotive sector companies listed on the IDX, while the sample was determined using a purposive sampling technique based on certain criteria. Research data were obtained from annual reports and company financial statements for the 2020–2025 period. Data analysis was carried out using the Dividend Payout Ratio (DPR) as a proxy for dividend decisions and statistical testing to determine the effect of CSR, Financial Distress, and Altman Z-Score on company dividend, the data were processed using SPSS.

This study aims to analyze the effect of artificial intelligence (AI)-based demand forecasting and big data analytics on inventory optimization through prediction accuracy among e-commerce actors or marketplace sellers in Curug. This research employed an explanatory quantitative approach involving 100 respondents selected through purposive sampling based on predefined criteria relevant to the research objectives. Data were collected using a structured Likert-scale questionnaire and analyzed using Structural Equation Modeling Partial Least Squares (SEM-PLS) by evaluating the measurement model, structural model, and mediation effects. The findings reveal that AI-based demand forecasting and big data analytics have a positive and significant effect on prediction accuracy. Furthermore, prediction accuracy has a positive and significant effect on inventory optimization and significantly mediates the relationship between AI-based demand forecasting, big data analytics, and inventory optimization. These findings indicate that the integration of AI and big data analytics contributes to more accurate demand prediction, leading to improved inventory management performance. The implication of this study suggests that e-commerce actors should improve data quality, analytical capability, and the adoption of predictive technologies to support more accurate, efficient, and responsive inventory decisions, thereby enhancing operational performance and competitiveness in responding to dynamic market demand.      

The rapid development of digital technology has transformed the way organizations conduct business activities and manage human resources. These changes require organizations to have employees who are not only competent but also possess a high level of employee engagement to adapt effectively to the dynamic work environment. This study aims to analyze the role of transformational leadership in enhancing employee engagement among employees of Ranch Market in the digital era. Transformational leadership is regarded as a leadership style that inspires, motivates, and encourages employees to develop their potential through a clear vision, effective communication, and individualized consideration. This research employed a quantitative approach by collecting data through questionnaires distributed to Ranch Market employees. Data analysis was conducted to examine the relationship between transformational leadership dimensions and employee engagement, which includes vigor, dedication, and employee involvement in their work. The findings indicate that transformational leadership plays a positive and significant role in improving employee engagement. Leaders who are able to inspire, build trust, encourage innovation, and support employee development have been proven to strengthen employees’ attachment to the organization. Furthermore, transformational leadership fosters a supportive and adaptive work environment, enabling employees to respond effectively to technological changes and evolving work systems. The results suggest that the implementation of transformational leadership can serve as an effective strategy for organizations in addressing the challenges of the digital era while promoting productivity, employee commitment, and sustainable organizational performance. Therefore, transformational leadership remains a crucial factor in maintaining a highly engaged workforce and achieving long-term competitive advantage.

This study aims to analyze the management of young preacher (dai cilik) training in developing students’ preaching skills at SD IT Al-Washliyah Kelambir Lima Medan using a management function approach (*planning, organizing, actuating, and controlling*). This study employed a descriptive qualitative method, with data collected through in-depth interviews, participant observation, and documentation. The research informants consisted of the principal and teachers responsible for the young preacher training program. The collected data were analyzed systematically to describe the implementation of management functions in the young preacher training activities and their contribution to the development of students’ preaching skills. The results showed that planning was carried out through the development of a practice-based preaching curriculum, organizing was implemented through task allocation and regular scheduling, implementation focused on *public speaking* practice, sermon material preparation, and moral development, while evaluation was conducted periodically through student performance assessments. The implementation of this systematic training management contributed to the improvement of students’ preaching skills in cognitive, affective, and psychomotor aspects. These findings indicate that management functions applied in a structured manner play a strategic role in supporting the development of students’ preaching competencies at the elementary school level. Furthermore, continuous training provides opportunities for students to enhance their self-confidence, communication skills, and readiness to effectively deliver Islamic preaching messages

The phenomenon of university students simultaneously undertaking academic studies and employment has become increasingly common, creating unique challenges in balancing work responsibilities and academic obligations. This study aims to examine the effects of job demands and time management on academic performance, with academic self-efficacy serving as a mediating variable among undergraduate and postgraduate students who work while pursuing higher education. The research employed a quantitative approach using a causal research design. Data were collected through an online questionnaire administered to 50 working students selected through purposive sampling. The study measured four variables, namely job demands, time management, academic self-efficacy, and academic performance. Data were analyzed using multiple regression analysis, Baron and Kenny’s causal steps approach, and the Sobel test to examine mediation effects. The findings reveal that time management has a positive and significant effect on both academic self-efficacy and academic performance. Academic self-efficacy also demonstrates a positive and significant influence on academic performance and emerges as the strongest predictor in the model. In contrast, job demands do not significantly affect either academic self-efficacy or academic performance. Furthermore, academic self-efficacy does not mediate the relationship between job demands and academic performance. However, academic self-efficacy fully mediates the relationship between time management and academic performance, indicating that effective time management enhances students’ confidence in their academic abilities, which subsequently improves their academic outcomes. These findings highlight the importance of strengthening time management skills and academic self-efficacy to support the academic success of working students in higher education institutions.

Nursing care in hospitals is still below the established standard of 80%, thus reflecting suboptimal nurse performance. This condition is thought to be influenced by factors such as rewards, workload, length of service and supervision. This study aims to analyze the relationship between rewards, workload, length of service, and supervision with nurse performance in the Inpatient Unit of Ratu Zalecha Martapura Regional Hospital. This study used a quantitative method with an observational analytical design using a cross-sectional approach. The study sample consisted of 152 nurses selected using cluster proportional random sampling technique. Data were collected using a questionnaire and analyzed using the chi-square test and multiple logistic regression. The results showed a significant relationship between rewards and nurse performance (p-value=<0.001), workload and nurse performance (p<0.001), and supervision and nurse performance (p-value=<0.001). Length of service did not show a significant relationship with nurse performance (p-value=0,968). Multivariate analysis showed that supervision was the most dominant factor related to nurse performance. Thus, compensation, workload, and supervision are related to nurse performance, while length of service is not related to nurse performance in the Inpatient Unit of Ratu Zalecha Regional Hospital, Martapura. The hospital is expected to improve supervision, workload management, and training and recognition for nurses to improve the quality of nursing services.