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Student learning activeness is an important component in achieving effective learning outcomes. However, many classroom learning processes still tend to be teacher-centered, resulting in low student participation. This study aims to analyze the implementation of the Family 100 Quiz Game in improving students' learning activeness in Islamic Religious Education (PAI) learning among eleventh-grade students at SMAN 1 Tambakboyo. This research used a Classroom Action Research (CAR) approach with the Kemmis and McTaggart model consisting of planning, action, observation, and reflection stages. The research was conducted in two cycles involving 38 students. Data were collected through observation sheets, field notes, and documentation. Data analysis was carried out using descriptive quantitative and qualitative techniques by calculating the percentage of student learning activeness. The results showed that the implementation of the Family 100 Quiz Game was able to increase student learning activeness. The average percentage of learning activeness increased from 65% in cycle I to 86% in cycle II. The findings indicate that game-based learning strategies can create a more interactive, collaborative, and enjoyable learning environment. Therefore, the Family 100 Quiz Game can be used as an innovative learning strategy to improve student participation in Islamic Religious Education learning.

Ki Hajar Dewantara is a figure in the world of education who is influential in Indonesia and made the date of his birth, namely May 2, a national education day and the father of education is Ki Hajar Dewantara. In his writings he indicated that with various kinds and ways of expressing ideas in accordance with the time and era and the objects he faced, all of Ki Hajar Dewantara's writings contained enthusiasm and breathed struggle. Thoughts about education have also been used until now, including in this case the existence of an independent campus or independent learning initiated by Nadiem Makarim. The purpose of this study was to find out Ki Hajar Dewantara's thoughts on citizenship education. This study uses a literature review study with the existence of data collection techniques using various books and sources in studying it. While the data analysis uses the critical appraisal method. So from this, researchers produce research on civics education based on structure, curriculum content, teachers and learning models in countries that have met education standards in the world, especially in civics education. The results of the study confirm that in Ki Hajar Dewantara's book there is an important point, namely when it is related to the flow in educational philosophy, namely liberalism that regarding tolerance, in Ki Hajar Dewantara's book can be found in education and teaching that is closely related to a particular stream of life, for example religion, belief Spirituality and others in public schools may only be given as "general knowledge" and in the basic principles which presumably can promote the development of character in general, so as a general ethnic, namely manners and decency.

This study aims to determine the application of a mind-mapping Project-Based Learning (PjBL) model to the human digestive system in improving creative thinking skills and creativity in eighth-grade students at SMP Dakwah Pekanbaru. This study used a quantitative approach with a one-group pretest-posttest pre-experimental design. The subjects consisted of eighth-grade students at SMP Dakwah Pekanbaru. The research instruments included a creative thinking skills test, a product creativity assessment sheet, and learning documentation. Data were analyzed using descriptive statistics, the N-gain test, the Wilcoxon test, and the Spearman correlation test. The results showed an increase in students' creative thinking skills after implementing the mind-mapping-based PjBL model, as indicated by an increase in the average posttest score compared to the pretest and a low to moderate N-gain score. Furthermore, students' product creativity was in the good category and had a significant relationship with their creative thinking skills. Thus, implementing the mind-mapping-based PjBL model is effective in improving students' creative thinking skills and creativity in the human digestive system.

Explainable artificial intelligence (XAI) has become a critical requirement in cybersecurity due to the high-stakes nature of security decision-making and the limitations of black-box learning models. This study investigates the construction of an explainable cybersecurity knowledge representation by leveraging standardized terminology from the NIST cybersecurity glossary. The primary problem addressed is the lack of transparent and semantically grounded reasoning mechanisms in existing AI-driven cybersecurity systems, which limits trust, accountability, and analyst adoption. To address this challenge, we propose a NIST-based semantic knowledge graph that embeds explainability directly into its ontology structure and reasoning process. The proposed framework systematically extracts definitional entities and relations from NIST glossary entries to construct a domain ontology and a multi-relational knowledge graph. A rule-based semantic relation extraction method is employed to ensure faithful, interpretable, and reproducible reasoning paths. The resulting knowledge graph contains over 3,000 cybersecurity concepts and approximately 27,000 semantic relations, covering hierarchical, associative, dependency, and mitigation semantics. Experimental evaluation demonstrates that the proposed approach achieves a high level of explainability, with 92.4% of reasoning outcomes being fully traceable and only 1.4% classified as non-traceable. Most explainable reasoning paths are limited to two or three hops, indicating an effective balance between inferential depth and human interpretability. Structural analysis further confirms the presence of meaningful hub concepts that support multi-hop semantic inference. These results confirm that ontology-driven, standard-based knowledge graphs provide a robust foundation for explainable cybersecurity intelligence. The study concludes that explainability-by-design, grounded in authoritative standards, offers a viable and trustworthy alternative to opaque AI models for cybersecurity applications.

This research benchmarks multiple machine learning (ML) algorithms for large-scale loan default prediction using a real-world dataset of 255,000 borrower records, where default cases represent only ~9–12% of total observations. The study addresses the persistent gap in comparative analyses of ML models that balance predictive accuracy, interpretability, and computational efficiency for credit risk assessment. Six algorithmic families were evaluated Logistic Regression, Random Forest, XGBoost, LightGBM, CatBoost, Artificial Neural Networks (ANN), and Stacked Ensemble—using standardized preprocessing, hybrid imbalance handling (SMOTE, class weighting, under-sampling), and comprehensive evaluation metrics (AUC, F1, Recall, Precision, PR-AUC, and Brier Score). Empirical results show Logistic Regression achieved the highest AUC of 0.732, outperforming nonlinear models under the baseline configuration, while LightGBM attained perfect recall (1.0) but low precision (0.116), indicating over-prediction of defaults. Gradient boosting models demonstrated robust calibration (Brier ≈ 0.114–0.116) and the best computational efficiency, with LightGBM showing the fastest training and lowest memory use. CatBoost exhibited strong recall but the slowest computation, and ANN underperformed on tabular data (AUC ≈ 0.56). The Stacked Ensemble delivered balanced results with AUC = 0.664 and improved overall stability. These findings confirm that boosting-based models, particularly LightGBM and CatBoost, offer superior scalability and calibration, whereas Logistic Regression remains a valuable interpretable baseline. The study concludes that effective default prediction requires integrating rebalancing, calibration, and threshold optimization to enhance recall and operational deployment reliability in large-scale credit ecosystems.

High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in clinical data. We propose a hybrid tree–neural modeling framework that explicitly captures and ranks feature interactions while maintaining stable predictive performance. Tree-based ensemble models are employed to identify non-linear interaction patterns, while neural representations enhance learning flexibility and generalization. The framework integrates interaction importance analysis, cross-validation–based stability assessment, and evaluation across multiple data splits to ensure robustness and interpretability. Experiments conducted on a real-world high-dimensional clinical dataset demonstrate that the proposed approach achieves consistent predictive performance, with AUC values ranging from 0.628 to 0.641 across five cross-validation folds (mean AUC ≈ 0.633). Performance remains stable under varying train–test splits, indicating strong generalizability. Interaction analysis reveals that a small number of dominant feature interactions—such as age combined with length of hospital stay and medication count combined with diagnostic information—consistently contribute to model predictions, appearing in over 80% of validation folds. Ablation studies further confirm that removing interaction-aware components leads to noticeable performance degradation, highlighting their importance.  In conclusion, this study demonstrates that explicit feature interaction modeling enhances interpretability, stability, and generalization in clinical prediction tasks. The proposed hybrid framework provides a reliable foundation for developing trustworthy and transparent clinical decision-support systems

Digital transformation has significantly altered early childhood learning patterns. Platforms such as YouTube have become dominant media consumed by preschool children. Exposure to digital content during the golden age potentially affects moral development, as children remain in a critical phase of imitation and value internalization. This study aims to conceptually analyze the role of parents in assisting early childhood moral development amid YouTube exposure from an Islamic education perspective. The research employs a qualitative approach using a systematic literature review of reputable national and international journals published between 2020–2026. The analysis involves identification, inclusion-exclusion selection, thematic categorization, and critical synthesis. Findings reveal that effective moral development is strongly influenced by parental mediation patterns, including active mediation, screen-time limitation, Islamic value-based content selection, reflective dialogue, and digital role modeling. The study proposes an integrative Islamic-based digital parenting model combining modern moral development theory and Islamic tarbiyah principles. Theoretically, this study contributes by integrating family digital literacy with Islamic moral education within contemporary educational discourse.

This study is motivated by the development of digital technology, which has driven a transformation in the learning paradigm from conventional models to more flexible, interactive, and innovative technology-based learning. Changes in student characteristics in the digital era require adaptive learning strategies that are able to improve both the efficiency of the learning process and learning outcomes. This study aims to describe and analyze digital learning strategies in enhancing learning efficiency and their impact on student achievement. The research employs a qualitative approach using a literature review by examining various relevant scientific sources related to the concepts, characteristics, implementation, and impacts of digital learning. The data were analyzed using content analysis techniques to produce a systematic conceptual framework. The findings indicate that systematically designed digital learning strategies can improve conceptual understanding through interactive content delivery, strengthen students’ motivation and independent learning, and enhance retention and learning mastery. Learning efficiency is reflected in flexible access, time optimization, and technology-based assessment. However, its implementation still faces challenges such as limited infrastructure and digital literacy. Therefore, careful planning and the improvement of digital competencies are necessary to ensure that digital learning can be implemented effectively and sustainably in improving the quality of education.

This research is motivated by the importance of guiding students in using digital technology in a positive way. The implementation of digital literacy enables students to use digital technology wisely and responsibly. This study aims to explore the importance of digital literacy, the impact of digital technology development on student’s character, the implementation of digital literacy for improving 21st-century skills, and the role of digital literacy for personalizing a generation with strong character, specifically at SMK Budi Mulia Pakisaji. This research is using a qualitative descriptive method, using purposive technique sampling and data triangulation techniques. This study uses an interactive model of data analysis. Data were collected through in-depth interviews, observation, documentation, and open-ended questionnaires. The results show that digital literacy supports the improvement of students’s 21st-century skills, known as the 6Cs: critical thinking, creativity, collaboration, communication, character, and citizenship. Digital literacy is integrated into IPAS (Science, Social, and Environmental Education) learning and implemented through the SMART (Spesific-Measurable-Achievable-Relevant-Time bound) digital concept. The implementation of digital literacy supports the achievement of IPAS learning goals, to make meaningfull learning experience, and students are able to produce a creation in IPAS projects. Students are able to solve problems using digital technology, select useful content, manage their time effectively, and become a lifelong learner. Furthermore, digital literacy supports the students to increase their knowledge, skills, and attitudes aligned with the values of Pancasila.

The principal’s leadership plays a strategic role in determining the direction and quality of educational implementation in schools. This study aims to analyze the implementation of integrative leadership based on prophetic values through the application of transformational, instructional, and servant leadership styles at SMA Muhammadiyah PK Kottabarat Surakarta. Islamic-based schools face challenges in integrating academic excellence with the development of religious character; therefore, a leadership model is required that is not only managerially effective but also morally and spiritually grounded. This research employed a qualitative approach with a field study design. Data were collected through participatory observation, in-depth interviews, and documentation, and were analyzed using interactive analysis techniques with triangulation to ensure data validity. The findings indicate that the integration of transformational, instructional, and servant leadership forms an Islamic Integrative Leadership model that combines a vision for change, the strengthening of learning quality, and the values of service and exemplary conduct within an Islamic framework. Transformational leadership fosters a shared vision and an innovative culture; instructional leadership enhances the quality of the learning process through effective academic supervision; while servant leadership creates a humanistic and participatory school climate. This leadership model contributes to improving teacher professionalism, strengthening students’ character, and establishing a religious school culture oriented toward holistic and sustainable educational quality.

Learning media is a tool that can be used to help students learn better and more efficiently. The media used in SMP Negeri 23 Pekanbaru is a teacher-centered picture/poster media so that students quickly get bored, and because of the limited media from the school. Most students prefer learning that involves them directly such as the element of games. The learning models used are discovery, PBL, and lecture models, and student learning activities are still lacking or less active in science learning. The purpose of this study is to develop learning media in the form of a cooperative-based snakes and ladders game with the Teams Games Tournament (TGT) type which aims to train student learning activities. The research method used is Research and Development (R&D) by implementing the ADDIE model which consists of five stages, namely Analyze, Design, Development, Implement, and Evaluation. Based on the validation results obtained, media experts were 94% with very feasible criteria, material experts were 92% with very feasible criteria, teachers gave a practicality assessment of 95% with very practical criteria, and students' responses were 85% with very interested criteria. This shows that the snakes and ladders media based on Teams Games Tournament (TGT) is very reasonable, very practical to use, and very interesting for students during the learning process. The results of observations on all student learning activities showed that 79% got a good interpretation.

The rapid development of digital technology requires greater adaptive capacity in both the economic and educational sectors, including in rural areas. However, limited digital literacy and the continued use of conventional learning methods remain common challenges. This activity aims to enhance the competitiveness of micro, small, and medium enterprises (MSMEs) as well as the quality of primary education in Baharen Village, Sidamanik District, through the implementation of a Community Service Program (Kuliah Kerja Nyata/KKN). A descriptive qualitative approach with a participatory model was employed, actively involving MSME actors, teachers, and students throughout all stages of the program. The activities included assistance in the digitalization of the MSME Gerai Mumtazah through Google Maps registration and the implementation of the QRIS cashless payment system, as well as the application of interactive learning methods based on joyful learning at the Baharen Village State Elementary School. The results indicate an increase in students’ learning motivation and classroom participation, along with improved accessibility and transaction efficiency for the MSME partner. These findings suggest that community-based participatory service activities can make a tangible contribution to strengthening the local economy and improving the quality of education in rural areas.

This study explores the integration of community driven learning practices in the adoption of educational technology and its impact on sustainability. With the rapid advancement of digital tools and platforms, higher education institutions have increasingly adopted online and hybrid learning models to enhance teaching and learning. However, despite the potential benefits, aligning institutional goals with community needs remains a significant challenge. This research utilizes a mixed methods approach, combining stakeholder surveys, policy analysis, and comparative case studies to evaluate the effectiveness of both top down and community aligned adoption models. The findings reveal that community driven models, which involve local stakeholders in the decision making process, lead to higher engagement, better adoption rates, and greater long term sustainability compared to top down approaches. Stakeholders, including educators, students, and administrators, reported that participatory decision making fostered a sense of ownership and ensured the relevance of adopted technologies. The study also identifies key sustainability factors, including participatory decision making, long term community engagement, and contextual relevance, which are crucial for ensuring that educational technologies remain effective and beneficial over time. However, challenges such as resistance to change, lack of resources, and unequal access to technology were found to hinder the successful implementation of sustainable models. The research concludes with practical recommendations for educational institutions and policymakers to adopt community aligned models and ensure equitable access to technology. Future research directions are suggested to further explore the balance between institutional innovation and community driven learning, with a focus on long term outcomes and the adaptability of these models across different educational contexts.

This outreach program evaluates the efficacy of the Lingkari Aku cooperative learning model in enhancing conceptual mathematical grasp among elementary students. Carried out at SD Negeri 054945 Dogang during the 2023/2024 odd semester, this study employed a qualitative case study methodology. The target participants were students engaged in integer operation topics. Data acquisition involved systematic observation, assessment tests, and documentation. The findings demonstrate that the Lingkari Aku method markedly bolstered student engagement, stimulated proactive group dialogue, and refined their grasp of integer concepts. Beyond academic gains, the approach fostered essential social competencies, such as teamwork, interpersonal communication, and accountability. Although high student excitement necessitated rigorous classroom management, the method successfully established a dynamic and pleasurable mathematical learning atmosphere. Consequently, this model is endorsed as a viable pedagogical alternative for elementary mathematics, especially within the framework of educational community service initiatives.

This study aims to determine the ability of students' conceptual understanding after the application of the Project Based Learning (PjBL) model on pyramid material in class VII of Muhammadiyah Pagar Alam Middle School in the 2025/2026 Academic Year. The subjects in this study were 30 students using the pre-experimental design method of one group posttest only type. Data collection techniques used in this study include tests and documentation. The data analysis technique is a quantitative descriptive analysis of all collected research data. Starting the stages carried out after learning using the Project Based Learning (PjBL) model, the percentage per indicator of students' conceptual understanding was obtained with the achievement of: indicators restating the concept of 59.12% indicators providing examples and non-examples of 78.33, and problem solving indicators of 83.06%. So it can be concluded that the use of the Project Based Learning (PjBL) model is effective on the conceptual understanding ability of class VII students of Muhammadiyah Pagar Alam Middle School in the 2025/2026 Academic Year with an average percentage reaching 75.91 which is in the good category.

Inclusive Early Childhood Education (PAUD) faces significant challenges in the era of digital disruption, particularly in integrating technology with meaningful and contextual learning. This study aims to develop and implement a contextual deep learning strategy through the ASYIK, ATIK, and SIUUL models. The research used a participatory workshop method combined with experiential learning and collaborative inquiry approaches, involving 50 PAUD practitioners in the Cikarang area. The findings showed a significant increase in participants' knowledge and a very high level of satisfaction, with 98% reporting satisfaction or high satisfaction. The learning simulations demonstrated the successful application of creative and contextual strategies to support inclusive education for children with special needs. Participants were highly motivated to implement these models in their institutions. The study recommends continuous technical support, the development of adaptive learning media, and the establishment of practitioner communities to ensure the sustainable implementation of inclusive education. These efforts are essential to enhance the quality and inclusiveness of early childhood education in the digital era.

This study aims to evaluate the Quran Tahfidz program at Bahrul Hikmah Islamic Junior High School using the Context, Input, Process, and Product (CIPP) evaluation model introduced by Stufflebeam. The findings of the research are as follows: First, the evaluation of the context aspect indicates that the program objectives have been comprehensively formulated. Data analysis confirms that the program implementation is well-aligned with the established goals, placing it in the 'good' category. Second, the evaluation of the input component reveals that the managerial competence of the administrators and the pedagogical capabilities of the educators have met the expected standards. Nevertheless, the infrastructure aspects require further optimization to foster a more conducive learning environment for students. Third, regarding the process aspect, the program implementation has generally achieved the targeted outcomes. However, observations identified obstacles predominantly stemming from students' internal factors; this implies the crucial role of teachers in integrating motivational stimuli as a preventive measure against declining learning enthusiasm. Fourth, the product evaluation shows that the daily memorization targets are generally achieved, although some students require remedial sessions. Ultimately, students are capable of completing the memorization of three juz within the three-year period.

Healthcare organizations are increasingly required to preserve the sustainability of their institutional values by ensuring high-quality services, operational efficiency, and rigorous adherence to risk governance frameworks. RSUD dr. Chasbullah Abdulmadjid Bekasi City continues to face considerable challenges in this regard, particularly due to the limited internalization of core organizational values, disparities in the cultivation of an adaptive culture, and inconsistent employee compliance with established risk management procedures. These issues highlight the necessity for a leadership paradigm grounded in service, empathy, and empowerment.This study investigates the extent to which servant leadership influences the creation and protection of corporate values, while examining the mediating roles of strong adaptive culture and employee compliance doing the implementation of risk management. Employing a quantitative explanatory survey design, the research collected responses from 153 hospital employees, and data were analyzed through Structural Equation Modeling (SEM) to evaluate both direct and mediated causal pathways among variables.The findings reveal that servant leadership significantly strengthens creation and protection of corporate values, not only through direct influence but also by enhancing cultural adaptability and reinforcing compliant behavior in risk-related practices. Leaders who embody service-oriented principles are shown to cultivate work environments that foster mutual trust, organizational learning, and value-based decision-making.This study contributes meaningful empirical evidence to the discourse on leadership, organizational culture, and compliance within public hospital settings. Institutional strategies should prioritize continuous leadership development and comprehensive risk governance training to secure long-term performance excellence and reputational resilience.

This study examines the role of understanding Christian theology in improving the quality of Christian Religious Education (CRE) learning. The focus of the study is how theological foundations can shape students’ character, morals, and spiritual development, as well as how teachers’ instructional strategies can support the achievement of these learning outcomes optimally and sustainably. The method used is a qualitative literature review, analyzing various relevant books and journal articles related to CRE, teaching approaches, and the integration of faith values into the educational curriculum. The findings indicate that mastery of Christian theology serves as an essential foundation in learning, as it enables students to understand their faith deeply while also internalizing Christian principles in their daily lives. In addition, interactive, contextual, and participatory learning methods have been shown to increase student engagement and motivation in the learning process. The role of the teacher as a moral and spiritual role model is also a key factor in strengthening the internalization of these values. Thus, an understanding of Christian theology not only supports cognitive aspects but also contributes to shaping students’ character and ethical behavior, making CRE learning transformational and holistic.

The purpose of this study was to explore the extent to which the Somatic, Auditory, Visual, and Intellectual (SAVI) learning model can improve students' understanding of Fiqh at MTs Negeri 2 Cilacap. The background of this study is the low level of student understanding, which is caused by a teaching approach that is still teacher-focused, resulting in less student involvement in the learning process. This study used a quantitative approach with a Quasi-Experimental Non-Equivalent Control Group Design. The research sample consisted of two classes, namely the experimental class and the control class, each containing 31 students. The research instrument was a Fiqh understanding test whose validity and reliability had been tested. The resulting data analysis test, which was carried out using a normality test, showed that all test items were declared valid (0.101 > 0.05), as well as the homogeneity test (0.773 > 0.05) and the t-test (0.025). so that Ho was rejected and Ha was accepted, meaning there was a difference between the control class and the experimental class. The results of the study show the effectiveness of the SAVI learning model on students' understanding of Islamic jurisprudence at MTs Negeri 2 Cilacap.