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This study aims to develop Smartboard Book teaching materials based on Augmented Reality that are valid, practical, and effective for improving students' learning outcomes in the IPAS (Science) subject for grade IV at SDIT Al-Farabi. This study uses the Research and Development (R&D) method with the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development model. The subjects of this study were grade IV students at SDIT Al-Farabi. Data collection techniques were conducted through expert validation questionnaires, response questionnaires, and learning outcome tests. The results indicate that the Smartboard Book teaching material was declared very valid, with material and test instrument validation percentages of 88% and media validation of 95%. The teaching material was also declared practical based on teacher and student responses. Furthermore, this media proved to be effective in improving students' learning outcomes with an N-gain score of 0.86, which falls into the high category. Based on these findings, it is recommended that teachers utilize Smartboard Book teaching materials based on Augmented Reality as an alternative medium in learning activities to create a more interactive and engaging learning environment.

The effectiveness of public sector organizations in delivering quality services and achieving their mandates depends critically on how they manage their human resources. This study examines the relationship between strategic human resource management (SHRM) practices and organizational performance in Indonesian public sector organizations. Employing a mixed-methods research design, data were collected from 312 public sector managers and HR professionals across 45 government agencies through surveys and 32 in-depth interviews. The research investigates five key SHRM dimensions: strategic recruitment and selection, performance management systems, employee development and training, compensation and rewards, and employee engagement. Findings reveal significant positive relationships between SHRM practices and multiple performance indicators including service quality, operational efficiency, employee productivity, and organizational innovation. Regression analysis demonstrates that SHRM practices collectively explain 47.3% of variance in organizational performance scores. Qualitative data illuminate implementation challenges including limited HR professional capacity, rigid civil service regulations, political interference, and resistance to performance-based management. The study identifies critical success factors such as top management commitment, alignment between HR strategy and organizational strategy, investment in HR analytics capabilities, and cultural transformation toward merit-based practices. Results indicate that high-performing public organizations distinguish themselves through systematic talent management, data-driven HR decision-making, continuous learning cultures, and stronger linkages between individual performance and organizational outcomes. This research contributes empirical evidence on SHRM effectiveness in public sector contexts and provides actionable recommendations for HR practitioners and policymakers seeking to leverage human capital for improved public service delivery.

Truancy among high school students continues to be a serious concern that has negative effects on both academic outcomes and social development. This study seeks to analyze the application of reality therapy as an intervention to minimize truancy behavior. The research utilizes a literature review approach by evaluating six relevant scholarly articles published over the past decade. The findings suggest that truancy is caused by a combination of internal factors, such as lack of learning motivation and feelings of boredom, and external factors, including family environment and peer influence. Conventional approaches that rely heavily on punishment and external control are considered less effective in creating lasting behavioral improvements. On the other hand, reality therapy emphasizes personal responsibility, present actions, and self-assessment, allowing students to better understand their behavior and make more positive decisions. The results demonstrate that this approach enhances students’ self-awareness, responsibility, and decision-making abilities. Therefore, reality therapy can be regarded as an effective alternative counseling method to address truancy behavior in schools and to support long-term behavioral change.

This study aims to test the application of the Discovery Learning model to improve the learning outcomes of eleventh-grade students of Light Vehicle Engineering (TKR) at SMK YPT Purworejo in the subject of Light Vehicle Electrical Maintenance (PKKR). The method used is Classroom Action Research (CAR) using the Kemmis and McTaggart model, which is implemented in two cycles, each including planning, action, observation, and reflection. The research subjects consisted of 34 eleventh-grade TKR students. Data were collected through observation of student activities, learning achievement tests, and documentation. Data analysis used a quantitative approach by calculating the average value and percentage of learning completion, supported by qualitative analysis to identify changes in student behavior during the learning process. The results of the study showed a gradual increase in student learning outcomes in each cycle. In the pre-cycle stage, only 10 of 34 students (29.41%) achieved the Minimum Competency (KKM) (80) with an average value of 74.58. In Cycle I, the number of students who completed the course increased to 23 (67.65%) with an average value of 80.88. Furthermore, in Cycle II, this number increased to 30 students (88.24%) with an average score of 85.73, exceeding the established success indicator of 75%. This finding indicates that the implementation of the Discovery Learning model is effective in improving the cognitive learning outcomes of 11th-grade TKR students at SMK YPT Purworejo in the Light Vehicle Electrical Maintenance competency.

This study aims to examine the implementation of animated video media on manual clutch systems to improve students’ learning interest and learning outcomes in the power transmission system material at SMK Muhammadiyah Sadang. This research employed Classroom Action Research (CAR) consisting of planning, acting, observing, and reflecting stages. The subjects of the study were 25 students of class XI TKR. The instruments used included lesson plans, learning materials, student interest questionnaires, and learning outcome tests. The results showed a significant improvement in both learning interest and learning outcomes after the implementation of animated video media. Students’ learning interest increased from 71% in the initial condition to 80.2% in the second cycle. Meanwhile, learning mastery improved from 36% in the pre-action stage to 72% in the first cycle and reached 84% in the second cycle. The continuous improvement across cycles indicates that the use of animated video media effectively enhances student engagement and academic achievement. Therefore, animated video media can be considered an effective instructional strategy in vocational education, particularly in automotive engineering learning.

This study aims to descriptively analyze the ability of elementary students to imitate rhythmic gymnastics movements through the Just Dance Now application in Physical Education learning at SDN Bulay 1 Pamekasan. The background of this research stems from the low motivation and movement accuracy of students in conventional rhythmic gymnastics learning. Using a qualitative descriptive approach, this study involved 24 fifth-grade students as subjects. Data collection techniques included participatory observation, in-depth interviews, and documentation. Data were analyzed using the Miles and Huberman interactive model consisting of data reduction, data presentation, and conclusion drawing. The findings indicate that students' ability to imitate rhythmic gymnastics movements through Just Dance Now falls into the sufficient category, with students demonstrating good proficiency in basic movement patterns but experiencing challenges in complex body coordination and musical rhythm synchronization. The application successfully enhanced student enthusiasm and engagement compared to traditional methods. However, technical constraints such as internet connectivity and limited space were identified as implementation barriers. This study implies that digital game-based media like Just Dance Now can serve as an effective alternative visual aid in elementary physical education, particularly for rhythmic gymnastics instruction. Educators are encouraged to integrate technology creatively while addressing infrastructural limitations to optimize learning outcomes.

This study aims to improve student learning outcomes in Natural and Social Sciences (IPAS), specifically on the topic of changes in the state of matter, by implementing the Project Based Learning (PjBL) model in Grade IV of SD GP Berea Tondano. The research followed a cyclical procedure consisting of planning, implementation, observation, and reflection. This study employed a classroom action research design and was conducted during the odd semester of the 2025/2026 academic year. Data were collected through observation, testing, and documentation techniques, with 15 fourth-grade students serving as the research subjects. The findings revealed significant improvements across teacher activity, student activity, and learning completeness. Teacher performance in managing instruction improved notably, with an average observation score of 73 (good) in Cycle I, rising to 93 (excellent) in Cycle II. Student engagement in the learning process likewise increased, from an average of 68.26 (good) in Cycle I to 86.53 (excellent) in Cycle II. Student learning completeness also showed marked progress, with the average score reaching 46.77 (satisfactory) in Cycle I and advancing to 100 (excellent) in Cycle II. These results demonstrate that the implementation of the Project Based Learning (PjBL) model is effective in enhancing both student creativity and learning outcomes on the topic of changes in the state of matter.

Academic anxiety is one of the problems commonly experienced by students due to the pressure of assignments, demands for achievement, and concerns about learning outcomes. This article aims to examine the effectiveness of mindfulness-based counseling in reducing students' academic anxiety and to explain the strategic role of guidance counselors in its application in schools. This study uses a literature review method with a literature review approach. Data were obtained from various national journals relevant to the topics of academic anxiety and mindfulness, then analyzed descriptively and qualitatively through a process of collecting, classifying, and synthesizing the results of previous studies. The results of the study show that mindfulness-based counseling is effective in helping students reduce their levels of academic anxiety through conscious breathing exercises, focusing attention, and accepting learning experiences without negative judgment. In addition, guidance counselors play an important role as facilitators, program developers, role models for mindfulness practices, mental health advocates, and liaisons between schools and parents in supporting the success of interventions. By applying the right methods, mindfulness-based counseling can be an effective alternative service in helping students overcome academic anxiety when implemented systematically and continuously  by guidance counselors in schools.

Difficulties in learning to read the Qur’an among adults do not always stem from the quality of teaching materials or instructors, but are often caused by the use of learning methods that are not appropriate to adult learners’ characteristics. Adults possess distinct psychological, physiological, and experiential backgrounds that require learning approaches different from those used for children. Monotonous and rigid instructional methods may hinder motivation and limit learning outcomes, particularly in Qur’anic literacy education. This condition is further compounded by physical limitations commonly experienced by adults and the elderly, such as dental and oral health problems, as well as strong regional language accents that affect pronunciation accuracy. In response to these challenges, the Tsaqifa method was developed as an alternative and practical approach specifically designed for adult beginners who have little or no prior ability to read the Qur’an. This method emphasizes simplicity, flexibility, and learner-centered instruction, enabling participants to gradually improve their Qur’anic reading skills in a supportive and non-intimidating learning environment. Through its application, adult learners are encouraged to regain confidence and motivation in studying the Qur’an, thereby contributing to efforts to reduce Qur’anic illiteracy among adult and elderly communities, particularly in rural areas.

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.

This study investigates the role of artificial intelligence (AI) in enhancing language learning, with a focus on five key applications: automatic text analysis, personalized learning, adaptive feedback, language error detection, and automatic translation. The study addresses the challenge of integrating AI effectively in educational contexts while balancing technological potential with pedagogical guidance. The objective is to provide a comprehensive understanding of how AI tools contribute to more adaptive, efficient, and engaging language learning experiences. A systematic literature review method was employed, selecting and critically analyzing studies published between 2020 and 2025 that examined AI-assisted language learning strategies. The findings indicate that automatic text analysis supports comprehension monitoring and guided learning, while personalized learning adapts content to individual learner needs, enhancing motivation and retention. Adaptive feedback delivers immediate, targeted guidance that fosters accuracy and self-regulated learning, and language error detection tools enable learners to identify and correct grammatical and lexical mistakes, promoting metalinguistic awareness. Automatic translation broadens access to authentic texts and cross-cultural materials, supporting comprehension and independent learning. Synthesizing these findings highlights the transformative potential of AI to improve learning outcomes while also revealing challenges such as tool reliability, ethical considerations, and the need for teacher oversight. The study concludes that AI, when thoughtfully integrated, complements instruction, enhances learner engagement, and supports differentiated and data-driven teaching strategies, providing valuable insights for language educators and guiding future research on AI-enabled language learning.

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.

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

The low interest in reading and learning outcomes of students in Indonesia poses a significant challenge in the education sector. The Kampus Mengajar program has emerged as one of the solutions to enhance literacy and the quality of learning in schools. This article aims to analyze the impact of literacy activities initiated through the Kampus Mengajar program on student learning outcomes using a literature review approach. The research uses a qualitative method in the form of a literature review that examines various relevant sources published between 2020 and 2026. The study's findings indicate that structured literacy activities, such as reading for 15 minutes before lessons, have a significant impact on the improvement of students' cognitive, affective, and psychomotor skills. Literacy is not limited to reading and writing skills but also serves as a crucial foundation for developing critical thinking abilities, which are directly correlated with students' academic performance. Therefore, the Kampus Mengajar program can be an important driver to enhance reading interest and the quality of learning, as well as shape a more critical and high-achieving generation in the future.

This research was motivated by the relatively low level of student learning activities, indicated by limited participation in asking questions, answering, and expressing opinions during the learning process. In addition, some students showed low concentration and attention to the teacher’s explanations. The learning process was still teacher-centered, which reduced student activeness and affected learning outcomes. To address this problem, teachers need to apply learning methods that encourage student participation while improving learning outcomes. One method that can be applied, particularly in social studies subjects, is the Quiz Team learning method. This study aimed to determine the effect of the Quiz Team learning method assisted by Baambozle media on student activity and learning outcomes in social studies at MTsN 6 Tulungagung. The study used a quantitative approach with a quasi-experimental design, specifically a non-equivalent control group design. Data were collected through questionnaires, tests, and documentation. Questionnaires were used to measure student learning activity, while tests were used to assess learning outcomes. The sample consisted of 32 students in the control class and 32 students in the experimental class selected through purposive sampling. The results showed that the Quiz Team method assisted by Baambozle media significantly affected students’ activity and learning outcomes, indicated by a Sig. (2-tailed) value of 0.000 < 0.05. The findings imply that this method can enhance student activity and consequently improve learning outcomes.

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 study aims to investigate the skill gaps experienced by bachelor’s degree graduates in Indonesia when facing the dual demands of Industry 4.0 and Society 5.0. The method applied in this research is a systematic literature review, synthesizing findings from 21 scientific articles focusing on the dynamics of skill gaps and the effectiveness of higher education interventions in Indonesia. The study findings reveal two main categories of competency gaps. In the context of Industry 4.0, the most significant deficiencies are observed in specific hard skills, particularly data literacy, artificial intelligence proficiency, and automation across various sectors. Meanwhile, within the Society 5.0 dimension, deeper gaps emerge in soft skills and human-centered competencies, including complex problem-solving, emotional intelligence, creativity, and environmentally sustainable skills. These human-centered skill gaps play a critical role in enhancing graduate value as AI technologies increasingly replace routine tasks. Although the Merdeka Belajar Kampus Merdeka program shows positive outcomes in improving sustainability skills and digital certification, it has not fully succeeded in driving fundamental transformation of higher education learning outcomes, limiting alignment with sustainability principles and the Society 5.0 approach. It can be concluded that Indonesian higher education faces the challenge of undertaking fundamental curriculum reform to integrate human-centered competencies as a foundation for preparing future human resources.

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 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.

This article discusses an experiential training program that integrates three main pillars for students of Parung Panjang Vocational High School (SMK) in Tangerang: optimizing digital platforms as modern marketplaces, developing innovative product packaging to strengthen sales performance, and applying ethical and legal principles in digital business activities. The program is designed to prepare vocational students to become competent, creative, adaptive, and responsible young entrepreneurs in the digital economy. The implementation methods include project-based learning, workshops, seminars, product simulation, mentoring, and intensive practice in using online marketing media. Students are guided to identify market opportunities, design attractive packaging, promote products through digital channels, and understand consumer protection, intellectual property, and honest transaction practices. The expected outcomes include increased digital literacy, improved packaging design skills, stronger entrepreneurial motivation, and better awareness of business ethics and legal compliance. Overall, this program provides practical learning experiences that connect school-based entrepreneurship education with the demands of the contemporary business and industrial environment. It also encourages collaboration among teachers, students, and local business partners for sustainable vocational development in line with future workforce and innovation needs.