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This Community Service Program (PKM) aims to enhance the leadership capacity and organizational management skills of cadres of the Islamic Student Association (HMI) Dumai Branch through the strengthening of Islamic values and the application of modern organizational management principles. The program was implemented as part of the Intermediate Training (Latihan Kader II/LK 2), which serves as a strategic forum for developing future organizational leaders. The activities were conducted using a combination of lectures, interactive discussions, case-based learning, and leadership simulations designed to encourage critical thinking and active participation. A participatory approach was employed to ensure that participants were directly involved in the learning process and could relate the material to real organizational challenges. The results of the program indicate a significant improvement in participants’ understanding of transformational leadership, collective–collegial leadership, and effective organizational planning and management skills. In addition, the program increased participants’ awareness of the importance of integrating Islamic values as an ethical and moral foundation in student organizational leadership practices. Overall, this PKM contributes to the development of qualified HMI cadres who possess integrity, adaptability, strong leadership competence, and a sustained commitment to community service and organizational development.

Attendance management is an essential component in educational institutions, companies, and organizations to monitor the presence and punctuality of participants. Traditional attendance systems, such as manual signatures or identification cards, are prone to various issues including human error, time inefficiency, and identity fraud. To address these challenges, this study aims to develop a smart attendance system using facial recognition technology based on Python and the OpenCV library. The system is designed to automatically detect and recognize faces in real time using a webcam or camera module. It employs computer vision techniques to capture facial images, extract unique features, and match them against a stored database of registered participants. Once the face is verified, the system records the attendance along with a timestamp, ensuring data accuracy and security. The development process involved several stages, including image acquisition, preprocessing, feature extraction, and classification. OpenCV was utilized for image processing tasks, while Python provided the programming framework to integrate all components. To enhance recognition accuracy, the system applied techniques such as histogram equalization for lighting normalization and Haar Cascade classifiers for initial face detection. An experimental evaluation was conducted under various conditions, including different lighting environments and facial orientations. The results demonstrated that the system achieved an accuracy rate of 96% under normal lighting conditions, with only a small decrease in performance under dim or uneven lighting. These findings indicate that the system is reliable for practical applications, especially in controlled environments. Conclusion: The Python-based facial recognition attendance system offers a more efficient, secure, and accurate alternative to conventional attendance methods. Future improvements may include the integration of deep learning models to enhance recognition robustness in diverse real-world scenarios.

SMA Negeri 12 Surabaya (SMAN 12 Surabaya), known as "SMANDALAS," was established in 1982. Initially, learning activities were carried out in the SDN Pakal 1 No. 119 building, Benowo, for one year while waiting for the construction of the permanent building to be completed. The new building began to be used on December 9, 1983, in accordance with the Decree of the Minister of Education and Culture No. 377/104.1.1/E5.83/SK. Currently, SMAN 12 Surabaya is located at Jl. Sememi Kidul No. 1, Benowo District, West Surabaya. This school has a land area of approximately 30,000 m² and is equipped with various facilities to support learning activities both inside and outside the classroom such as classrooms, laboratories, libraries, mosques, playgrounds, school forests, school gardens, ceremonial fields, sports fields, green open spaces, art rooms and others. This school is also equipped with adequate bathroom facilities for all school residents, a health unit room, meeting room, hall, green house, fish pond, fish pond and school garden. MAN 12 has achieved many achievements in both academic and non-academic fields. This is inseparable from the good cooperation between school leaders, teachers, employees, students and guardians. Every leader who leads at SMAN 12 Surabaya has a program that supports the achievements of students and teachers. In 2025, SMAN 12 Surabaya will become a pilot project for the "Food School Care" program as an implementation to support the national food security program. The purpose of this study was to determine the effect of Self Leadership, Work Ability, Organizational Climate on Burnout and Teacher Performance at SMAN 12 Surabaya. This study uses a quantitative method with primary data sources obtained from distributing questionnaires. The population of the study were teachers at SMAN 12 Surabaya. The selection of respondents was carried out using the saturated non-probability sampling method with a total of 74 respondents. The data analysis method used descriptive analysis and SEM-PLS analysis. The results of the study showed that the variables of self-leadership, work ability, and organizational climate had an effect on burnout and teacher performance at SMAN 12 Surabaya.

This study explores the integration of blockchain technology with federated learning (FL) to enhance cross-organizational healthcare analytics while ensuring privacy and data security. Federated learning allows multiple institutions to collaboratively train machine learning models without sharing sensitive patient data. Instead, local data is used to train models, and only model parameters are exchanged. However, privacy concerns and data sharing inefficiencies have hindered broader healthcare collaboration. Blockchain, a decentralized ledger technology, addresses these concerns by ensuring data integrity and transparency, providing an immutable and tamper-proof record of all transactions. This study investigates how the combination of blockchain and federated learning can overcome these challenges, facilitating secure and efficient data sharing between healthcare institutions. The study uses synthetic multi-institution healthcare datasets to simulate real-world collaboration scenarios. The blockchain-enabled federated learning system ensures that no raw patient data is shared, significantly reducing the risk of privacy breaches while still allowing healthcare institutions to collaborate on predictive model development. The results show that while there is a slight decrease in model accuracy compared to centralized methods, the trade-off is outweighed by the privacy and security benefits. Blockchain’s integration ensures that model updates are transparent, enhancing trust between institutions and reducing concerns about data integrity. Moreover, the use of blockchain’s smart contracts automates and enforces compliance, further streamlining collaboration. This research contributes to the field by demonstrating how blockchain-integrated federated learning can create a secure, scalable, and privacy-preserving framework for collaborative healthcare analytics. The findings underscore the potential for this approach to enhance healthcare outcomes and improve decision-making across institutions while ensuring patient data protection.

Gross motor and fine motor development are critical aspects of early childhood growth, yet a significant proportion of infants and toddlers continue to experience delays in these areas. According to the World Health Organization (WHO) in 2016, approximately 20–40% of infants aged 0–2 years face delays in developmental processes, with 5–25% experiencing gross and fine motor disorders. Delays in gross motor skills can reduce adaptability and creativity during the adaptation period, while delays in fine motor skills may hinder a child’s learning process. Beyond adequate nutrition provided by the mother, stimulation is an essential strategy to optimize growth and development. One promising approach is the combination of baby massage and lavender essential oil, which may offer both physical stimulation and relaxation benefits that support motor skill advancement. This study aims to determine the effect of combined baby massage stimulation and lavender essential oil application on the improvement of gross and fine motor skills in infants aged 3–12 months. A pre-experimental quantitative design with one-group pretest–posttest was applied to a sample of 40 infants. Data analysis employed the Wilcoxon signed-rank test to assess changes in motor development scores before and after the intervention. Results indicated a probability value (p-value) of 0.02 (<0.05), suggesting a statistically significant improvement in both gross and fine motor skills following the intervention. These findings highlight the potential of integrating tactile and aromatherapy-based stimulation into infant care routines to enhance motor development. Further research with larger and more diverse samples is recommended to validate these results and explore the underlying mechanisms of action.

This community service program focuses on transforming financial management at Pharmacare Pharmacy Ciputat through the integration of digital accounting and strengthening human resource (HR) management. The background to this activity stems from the problem of partners who still rely on manual recording for financial transactions, inventory management, and report preparation. This condition results in inefficiency, late reporting, potential recording errors, and difficulties in strategic decision-making. In addition, limited HR competency in the use of digital accounting technology and the absence of financial standard operating procedures (SOPs) are major obstacles to improving organizational performance. The main objective of this activity is to implement an integrated digital accounting system capable of producing real-time financial reports, increasing inventory management efficiency, and building transparent financial governance. Simultaneously, employee competency is improved through intensive training and mentoring in the use of accounting software and the preparation of financial SOPs. The involvement of students and faculty in this activity aligns with the spirit of Independent Learning and Independent Campus (MBKM) and supports the achievement of the university's Key Performance Indicators (IKU), particularly in providing off-campus experiences and utilizing work results for the community. Through this program, it is hoped that Pharmacare Ciputat Pharmacy can improve operational efficiency, strengthen business sustainability, and provide more optimal healthcare services. More broadly, this activity contributes to community economic empowerment by strengthening the capacity of small businesses in the healthcare sector.

Gross motor and fine motor development are critical aspects of early childhood growth, yet a significant proportion of infants and toddlers continue to experience delays in these areas. According to the World Health Organization (WHO) in 2016, approximately 20–40% of infants aged 0–2 years face delays in developmental processes, with 5–25% experiencing gross and fine motor disorders. Delays in gross motor skills can reduce adaptability and creativity during the adaptation period, while delays in fine motor skills may hinder a child’s learning process. Beyond adequate nutrition provided by the mother, stimulation is an essential strategy to optimize growth and development. One promising approach is the combination of baby massage and lavender essential oil, which may offer both physical stimulation and relaxation benefits that support motor skill advancement. This study aims to determine the effect of combined baby massage stimulation and lavender essential oil application on the improvement of gross and fine motor skills in infants aged 3–12 months. A pre-experimental quantitative design with one-group pretest–posttest was applied to a sample of 40 infants. Data analysis employed the Wilcoxon signed-rank test to assess changes in motor development scores before and after the intervention. Results indicated a probability value (p-value) of 0.02 (<0.05), suggesting a statistically significant improvement in both gross and fine motor skills following the intervention. These findings highlight the potential of integrating tactile and aromatherapy-based stimulation into infant care routines to enhance motor development. Further research with larger and more diverse samples is recommended to validate these results and explore the underlying mechanisms of action.

Attendance management is an essential component in educational institutions, companies, and organizations to monitor the presence and punctuality of participants. Traditional attendance systems, such as manual signatures or identification cards, are prone to various issues including human error, time inefficiency, and identity fraud. To address these challenges, this study aims to develop a smart attendance system using facial recognition technology based on Python and the OpenCV library. The system is designed to automatically detect and recognize faces in real time using a webcam or camera module. It employs computer vision techniques to capture facial images, extract unique features, and match them against a stored database of registered participants. Once the face is verified, the system records the attendance along with a timestamp, ensuring data accuracy and security. The development process involved several stages, including image acquisition, preprocessing, feature extraction, and classification. OpenCV was utilized for image processing tasks, while Python provided the programming framework to integrate all components. To enhance recognition accuracy, the system applied techniques such as histogram equalization for lighting normalization and Haar Cascade classifiers for initial face detection. An experimental evaluation was conducted under various conditions, including different lighting environments and facial orientations. The results demonstrated that the system achieved an accuracy rate of 96% under normal lighting conditions, with only a small decrease in performance under dim or uneven lighting. These findings indicate that the system is reliable for practical applications, especially in controlled environments. Conclusion: The Python-based facial recognition attendance system offers a more efficient, secure, and accurate alternative to conventional attendance methods. Future improvements may include the integration of deep learning models to enhance recognition robustness in diverse real-world scenarios.

Artificial Intelligence (AI) is quickly becoming a game changer in the way businesses build and manage their strategies. This article explores how AI is helping organizations make faster and smarter decisions, streamline operations, and spark innovation across various industries. With the ability to process massive amounts of data, AI tools can uncover valuable insights about market trends and customer behavior, allowing companies to respond more accurately and stay ahead of the competition. From machine learning and generative AI to natural language processing and digital twins, these technologies are transforming everything from internal workflows to how businesses connect with customers. The article also offers a practical roadmap for adopting AI in a business setting, covering steps like evaluating readiness, running pilot projects, and measuring success through return on investment (ROI). It emphasizes the need for strong data infrastructure, skilled teams, and a culture that supports innovation and data-driven thinking. Challenges such as algorithmic bias, data privacy, and internal resistance to change are also addressed. Real-world examples from banking, retail, and manufacturing show how AI can deliver real impact improving efficiency, increasing customer satisfaction, and driving business growth. Ultimately, embracing AI isn’t just about keeping up with technology it’s about shaping the future of smart, strategic, and ethical business.

Buddhist education in the millennial era faces various internal and external challenges, especially in adapting to the character of the younger generation who are highly dependent on information technology but weak in filtering moral values. Buddhist educational institutions also still face structural problems such as limited human resources, lack of contextual strengthening of Dhamma values, and an institutional image that is not yet strong in society. This study uses a library research method with content analysis and hermeneutics techniques to explore the relevance of Buddhist teachings to the dynamics of modern education. In the context of the Merdeka Belajar policy, Buddhist education has a great opportunity to transform through a flexible learning approach, strengthening student character, integrating spiritual values, and improving education management. In addition, the implementation of Buddhist leadership principles such as the Dasa Raja Dhamma and meditation practices can be a distinctive force that distinguishes Buddhist schools from other institutions. This transformation requires the active role of teachers, principals, foundations, and Buddhist organizations to synergize in building meaningful and competitive education in the digital era.

Strengthening the position of cooperatives as business entities that are responsive to market changes and capable of competing effectively requires a well-planned business development strategy. In facing the challenges of globalization and increasingly complex business competition, cooperatives can no longer rely solely on the principle of togetherness but must implement a modern managerial approach based on data and measurable strategies. This study aims to analyze how cooperatives develop their businesses by understanding market characteristics and competitor strategies through the application of operations management using the Balanced Scorecard (BSC) framework. The method used is a literature review with a qualitative descriptive approach, focusing on analyzing various literatures related to cooperative management, strategic management, and organizational performance measurement systems. The findings show that the Balanced Scorecard is effective as a tool to assist in formulating comprehensive strategies through four main dimensions: financial, customer, internal process, and learning and growth. With this approach, cooperatives can improve operational performance, gain deeper insights into market needs, respond appropriately to competition, and create long-term value for all their members.

In the context of improving the quality of early childhood education, educational management plays a central role. Effective and efficient management is able to manage various existing resources optimally so as to create a conducive and quality learning environment. In addition, management is also responsible for designing learning programs that are in accordance with the needs of child development, supervising, evaluating, and providing training and professional development for educators. Thus, the role of management is not only administrative, but also strategic in improving the quality of early childhood education services. This research is a type of literature study. Library Research refers to a series of broad and systematic activities that are closely related to various sophisticated methodologies used in careful library data collection, comprehensive reading and accurate recording of relevant information, and complex processing of various research materials. Based on the results of the literature, the data collected shows that the role of management in improving the quality of early childhood education (PAUD) is very complex and multidimensional. The studies reviewed underline the importance of comprehensive planning, including the development of relevant curricula, the provision of adequate facilities and infrastructure, and the management of quality human resources. In addition, efficient organization, effective program implementation, and structured supervision have also been shown to contribute significantly to improving the quality of PAUD.

This study aims to examine the storage and arrangement system of facilities and infrastructure implemented at SMPN Nuris as an effort to improve the effectiveness of the learning process and the efficiency of school management. Well-managed facilities and infrastructure can create a safe, comfortable learning environment that supports the achievement of educational goals. The research method used is a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation. The findings show that although SMPN Nuris has a relatively structured system of storage and organization, there are still several challenges such as limited storage space, lack of regular maintenance, and minimal use of technology in inventory management. This study offers recommendations for improving the management system of facilities and infrastructure to support better school governance.

This article reviews the importance of the value of responsibility as one of the main pillars in character education for students, especially in higher education. This value is not only important in the academic realm, but also becomes the moral and social basis in forming students with integrity. This research was conducted with a qualitative descriptive approach, using interview, observation, and documentation techniques on students of the Islamic Religious Education (PAI) Study Program class of 2022 at IAIN Palangka Raya. The findings show that responsibility in undergoing the learning process, time management, and discipline are important indicators in the internalization of character values. Students who have a sense of responsibility are able to complete academic tasks regularly, value time, and remain disciplined even when faced with challenges such as organizational activities or work. Therefore, systematic and continuous character building is needed to instill the value of responsibility as a whole in the campus environment.

This study aims to examine the role of strategic leadership in realizing ethics and sustainable learning in educational settings. Through study literature analysis, this research investigates theories and findings related to strategic leadership in education and its integration with ethical principles. The findings of this study show that successful strategic leadership not only prioritizes the achievement of organizational goals, but also affirms ethical principles as the basis for decision-making and management of educational institutions. Leaders who uphold ethics can build a school environment that is fair, inclusive and transparent, and ensure the fulfillment of the rights of all parties involved. In addition, educational leaders must have a vision that encourages innovation in the learning process by strengthening the role of teachers, utilizing technology and updating the curriculum that is appropriate and relevant to today's challenges. Continuous learning focuses not only on academic achievement, but also on developing students' character, skills for the 21st century and social responsibility. In addition, far-sighted strategic leadership plays a crucial role in driving innovation in learning and the application of technology to meet global challenges and build a sustainable education system. This research contributes ideas for the development of a responsive, ethical and sustainability-focused educational leadership model.  

This Mail Merge Learning Training aims to create letters to staff and teachers, understanding the use of Microsoft Access in creating letters. This Mail Merge learning is often needed in creating correspondence and for daily work at school. Microsoft Access software allows training for staff and teachers who must be personal and efficient, by using image and sound designs from separate sources into one Microsoft Access software. During this Mail Merge learning training, participants will be trained and taught about the concept of using Microsoft Access Software, preparation steps for creating Mail Merge using Microsoft Access Software in making letters using Microsoft Access Software, and merging data into Microsoft Access Software. This Microsoft Access Software learning training will also discuss the benefits of using Microsoft Access Software, including time efficiency and accuracy in training staff and teachers that will be created. Through a combination of theory and practical exercises, participants are expected to be able to master the steps in the letter-making learning training process that will be explained using Microsoft Access Software. The results of this training are expected to provide participants with the ability to create personal and efficient student animations, including education and other organizations. Thus, the introduction of this application contributes to increasing the effectiveness of communication in various activities involving the learning process.

Leadership in education plays a crucial role in influencing the performance and motivation of organizational members. This study examines various types and functions of leadership, including transformational leadership, which significantly enhances teacher performance and creates an innovative learning environment. Through a literature review, it is found that adaptive leaders who understand the socio-cultural context can effectively manage change, thus creating an atmosphere conducive to learning. Additionally, this study highlights the importance of leadership development strategies that focus on interpersonal skills and active participation of members in the decision-making process. The findings indicate that a deep understanding of leadership types and their application in the educational context can enhance the overall quality of education, as well as encourage higher engagement from all stakeholders in achieving desired educational goals.  

This study aims to analyze the implementation of the Balanced Scorecard (BSC) as a tool for measuring organizational performance at PT YANAHA. The Balanced Scorecard is a performance measurement method that integrates financial and non-financial aspects through four perspectives: financial, customer, internal business processes, and learning and growth. This research uses a descriptive qualitative approach through interviews, observations, and documentation studies. The results show that the implementation of BSC provides a comprehensive overview of company performance and assists in strategic decision-making.

The role of job training, self-efficacy, and human resource development (HRD) in improving employee performance is discussed in this study. The problem raised is how these three components can synergistically influence employee work efficiency, considering the many challenges faced by organizations in optimizing their human resource potential. The library method and literature review approach are used in this study. This involves the analysis of primary and secondary data from reliable international journals indexed by Scopus and national journals indexed by Shinta. These data were collected through a review of relevant literature covering theories and empirical research on self-efficacy, job training, HRD, and their effects on performance. The results of the study indicate that increasing employee motivation and confidence to complete assigned tasks is very important. Technical skills and adaptability to changes in the work environment are improved through competency-based job training. Meanwhile, an innovative and productive work culture is generated through continuous learning and mentoring programs. When used together, these three components can contribute to improving individual and organizational performance. According to this study, to maintain the sustainability and competitiveness of organizations in the modern era, a holistic approach to HR management is essential

The COVID-19 pandemic has exposed fundamental vulnerabilities in global supply chain systems, such as over-reliance on single suppliers and a lack of operational visibility. This has highlighted the urgent need for a new approach to risk management—one that leverages smart technologies. Artificial Intelligence (AI) has emerged as a promising solution, thanks to its capabilities in predictive analytics and adaptive, data-driven decision-making in real time. This study aims to develop an AI-based predictive system framework to enhance the resilience of global supply chains in the face of post-pandemic disruptions. Using the Design Science Research (DSR) methodology, the research designs and evaluates a system that integrates algorithms such as LSTM, Random Forest, Natural Language Processing (NLP), and Reinforcement Learning. It also applies a federated learning approach to ensure data privacy among supply chain partners. The study analyzes over 12,000 data entries from diverse sources, including IoT devices, weather data, demand trends, and social media. The system's effectiveness is evaluated through a combination of quantitative methods (PLS-SEM analysis on 103 respondents) and qualitative methods (interviews with 12 industry executives). The findings show that AI-driven predictive analytics significantly improve supply chain resilience (β = 0.67; p < 0.001), with demand forecasting accuracy increasing by up to 40% and delivery times reduced by 30%. Conceptually, the study contributes by designing a resilient model that integrates real-time visibility, adaptability, and cross-organizational collaborative learning. Unlike traditional approaches focused solely on automation, this framework offers a more holistic solution, addressing key gaps in the literature. The implication is clear: AI is becoming a strategic asset in building sustainable, resilient supply chains amid ongoing global uncertainty.