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Batik motif classification has attracted growing attention in visual computing due to its role in cultural heritage preservation, textile informatics, museum documentation, and automated cataloging. Although many studies report high classification accuracy, robustness under real-world acquisition conditions remains insufficiently understood. Batik images are frequently affected by illumination variation, blur, folds, watermark overlays, wearable deformation, scale inconsistency, and background clutter, creating challenges that extend beyond conventional image-noise assumptions. Existing studies largely focus on improving classification performance, while the interactions among acquisition variability, feature representation, evaluation practice, and deployment constraints remain fragmented. This systematic literature review addresses this gap by synthesizing batik classification research through a robustness-aware perspective. Using query expansion, backward and forward citation chaining, relevance screening, and thematic coding, 116 candidate records were identified, resulting in 50 highly relevant studies for detailed analysis. The review reveals that robustness is shaped less by denoising alone than by the combined effects of acquisition conditions, representation design, evaluation realism, and deployment context. Handcrafted descriptors remain competitive for small datasets and structured motifs due to their data efficiency and interpretability, whereas deep learning models achieve the highest reported accuracy when supported by sufficient data diversity and realistic augmentation. Hybrid representations emerge as the most consistently balanced approach, combining local texture stability with higher-level abstraction across heterogeneous acquisition settings. The review further identifies recurring robustness failure patterns, including background dependency, illumination instability, motif-scale inconsistency, wearable deformation, and source-shift vulnerability. Based on these findings, a robustness-oriented research agenda is proposed, emphasizing cross-acquisition evaluation, representation-stability analysis, batik-specific robustness benchmarks, acquisition-aware augmentation, and deployable lightweight or hybrid architectures. The study contributes a domain-specific synthesis that reframes batik motif classification from an accuracy-centric task toward a robustness-aware visual recognition problem.

This study was conducted to analyze the relationship between students’ critical thinking skills and mathematical problem-solving abilities through a literature review approach. The study is based on the importance of mastering higher-order thinking skills in the mathematics learning process, particularly when students are faced with complex problems related to real-life situations. The method used in this research was a literature review by examining various relevant scientific journals and academic books published between 2021 and 2026. The data analysis process was carried out through stages of identification, classification, evaluation, and synthesis of the collected sources. The findings revealed a significant and positive relationship between critical thinking skills and students’ mathematical problem-solving abilities. Critical thinking skills play an important role in helping students understand problems, process and analyze information, select appropriate solution strategies, and systematically review the results obtained. Students with strong critical thinking skills generally demonstrate more optimal mathematical problem-solving abilities. In addition, the implementation of learning models such as Problem-Based Learning and contextual approaches has been considered effective in improving both abilities. Therefore, critical thinking skills are regarded as an essential aspect that needs to be developed in mathematics learning in order to enhance students’ mathematical problem-solving abilities.

This study examines the application of the Problem Based Learning model combined with the interactive learning media Articulate Storyline in the learning of Science on the subject of Harmony in Ecosystems in class V of SDN Tamansari 1. The background of this study is based on the low student learning outcomes caused by the dominance of the lecture method and the minimal use of interesting media, so that students are less actively involved in learning. The purpose of this study is to describe the application of the media and improve student learning outcomes. The study used the Classroom Action Research method which was carried out in two cycles, including the planning, implementation, observation, and reflection stages, with 17 students as subjects. The results showed a significant increase in student learning outcomes in each cycle, where the average class score increased from 50 in the pre-cycle to 71.17 in Cycle I, and reached 91.76 in Cycle II. The percentage of learning completion also increased from 17.65% to 76.47%, until finally reaching 100% in Cycle II. These findings indicate that the use of the Problem Based Learning model combined with Articulate Storyline can encourage student engagement and deepen conceptual understanding. Therefore, it can be concluded that the implementation of these learning models and media is effective in improving science students' learning outcomes.

Biology learning in Indonesia is still predominantly teacher-centered, limiting students’ opportunities to actively develop critical thinking, creativity, collaboration, and other 21st-century competencies. Students often receive information passively, resulting in low engagement and limited ability to apply concepts in real-life contexts. Therefore, innovative learning models are needed to support more meaningful and student-centered learning. This study aims to review the implementation of Project-Based Learning (PjBL) in Biology education and analyze its contribution to the development of students’ 21st-century skills. The study employed a literature review method by analyzing 20 research articles published between 2022 and 2026. Articles were obtained through Google Scholar searches and selected based on relevance to Biology education, focus on PjBL implementation, and open-access availability. Data collection involved identification, screening, selection, and documentation of related studies, while data analysis used a qualitative descriptive approach. The findings indicate that PjBL effectively improves students’ cognitive achievement, conceptual understanding, scientific literacy, creativity, and critical thinking skills. In addition, PjBL enhances collaboration, communication, problem-solving abilities, learning motivation, and life skills through contextual and authentic project activities. Students become more actively involved in investigating real-world problems, designing solutions, and producing meaningful learning outputs. Furthermore, the integration of STEM approaches, digital media, blended learning, and Culturally Responsive Teaching (CRT) strengthens the effectiveness of PjBL in Biology learning. Overall, PjBL is highly relevant for supporting the Merdeka Curriculum and improving the quality of Biology education in developing 21st-century competencies.

The implementation of active learning models such as Problem-Based Learning (PBL) and Project-Based Learning (PjBL) at the junior high school level is often constrained by the complexity of instructional time management. This study aims to examine the role of the principal’s instructional leadership in addressing time management dilemmas in the implementation of active learning at SMP Negeri 6 Panyabungan. A qualitative approach with a descriptive method was employed in this study. Data were collected through non-participant observation and in-depth interviews with key informants, namely the school principal and an Islamic Religious Education (PAI) teacher selected as representatives of field conditions. The findings reveal three main results. First, teachers’ time management constraints are caused by weak control of learning activity transitions, noisy classroom conditions during group division, and low initial student learning readiness. Second, the principal implemented several concrete interventions, including the adoption of block scheduling, clinical supervision focused on classroom management, and the optimization of the Subject Teacher Forum (MGMP) or school learning community. Third, these interventions improved teachers’ instructional efficiency, strengthened classroom activity control, and created a more structured active learning process. However, sustainability challenges remain, particularly resistance from senior teachers who tend to prefer conventional teaching methods. This study concludes that adaptive and solution-oriented instructional leadership is a key factor in addressing the complexity of time management constraints in active learning implementation.

This study focuses on examining the effect of using the cooperative learning model type Teams Games Tournament (TGT) assisted by Kahoot in optimizing students’ problem-solving skills. The research method applied was Classroom Action Research (CAR), conducted through several cycles with stages including planning, action implementation, observation, and reflection. The subjects of this study were students of class X.B at SMA Negeri 2 Singaraja. The results of the study indicate a significant improvement in students’ problem-solving abilities after the implementation of the TGT model assisted by Kahoot. In cycle II, the students’ average score reached 88.15, with a learning mastery level of 84.21%. Therefore, it can be concluded that the majority of students had met the minimum learning mastery indicators. In addition, the learning process became more active, interactive, and enjoyable, which increased student engagement in the classroom. In conclusion, the cooperative learning model Teams Games Tournament (TGT) assisted by the Kahoot application has a positive impact on improving students’ problem-solving abilities. Therefore, the use of game-based digital learning models and media is recommended to enhance the quality of both the learning process and learning outcomes.

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.

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.

The aim of the research is to find out the process of developing knowledge learning media based on Android applications.Learning media is very much needed as a tool used in practical learning.Changes in educational progress require innovation in learning media to keep them up to dat and able to overcome new problems that arise. The research method used is the R & D research and development method with the 4D model. The stages of the 4D development model are 1) Definition; 2) Design; 3) Development; 4) Distribution. This research produces android-based textile knowledge learning media. The software used is iSpring Suite Toolkit Authoring based on Power Point; and Website 2 APK Builder.The iSpring Suit software is used in the design and development of learning media, while the Website 2 APK Builder software is used to change Android application programs. Based on the results of the learning media feasibility questionnaire, it can be seen that the textile knowledge learning media is very feasible to use, reaching 90%.

This study examines the integration of social activities and leadership values in shaping the character of students by the PIJAR Semarang Community as a form of community-based non-formal education. The background of this study stems from the increasing problems with student character, such as low empathy, responsibility, and self-confidence, as well as the increasing cases of violence and bullying in the educational environment. These conditions indicate that formal education has not been fully able to address the challenges of shaping student character. This study uses a qualitative approach with descriptive methods. The research was conducted at the PIJAR Semarang Community by involving community managers, volunteers, and students as research subjects. Data were collected through in-depth interviews, observation of activities, and documentation to obtain a comprehensive understanding of the character-building process. The results of the study show that the PIJAR Semarang Community integrates social activities and leadership values through academic and non-academic learning programs that are designed to be contextual and participatory. Social activities such as play-based learning, social action, field trips, art performances, and leadership training are the main media for instilling character values. The character values developed include responsibility, cooperation, empathy, discipline, and self-confidence. Leadership values are instilled through habit formation, volunteer role models, providing opportunities for participation, and the active involvement of students in every activity. This study also found several obstacles in the form of differences in student character, limited resources, and low self-confidence among some students in leadership. To overcome these obstacles, the PIJAR Semarang Community implemented intensive mentoring, motivation building, and adjustments to activities to make them more inclusive. Overall, this study confirms that the integration of social activities and leadership values in community-based non-formal education plays an important role in the holistic and sustainable character building of students.

This research is based on the problem of declining morals of third-grade students at SD IT Baitul Muslim, which has implications for daily behavior, particularly in Pancasila Education learning. Students tend to exhibit attitudes that are inconsistent with positive character values, such as a lack of tolerance and a low sense of love for the homeland. The purpose of this study is to identify the significant influence of educators' roles in shaping the character of third-grade elementary school students in Pancasila Education subjects. The method used is an ex post facto method with a quantitative approach and a purposive sampling design. The study population consisted of 10 educators and 95 students, with a sample of 10 educators and 40 students from two selected classes. Data collection techniques were carried out through questionnaires and documentation that had been tested for validity using Aiken's V and reliability with Cronbach Alpha. Hypothesis testing using simple linear regression analysis showed a significance value of 0.044 which is smaller than 0.05 and a calculated F value of 5.692 which is greater than the F table of 2.27. Thus, the null hypothesis is rejected and the alternative hypothesis is accepted. The research findings confirm the significant influence of educators, particularly as demonstrators, classroom managers, facilitators, and evaluators, in shaping students' character in Pancasila Education. The implication of these findings is that educators need to optimize role models to improve students' character development.

The ability to analyze ethical and health law issues is one of the learning outcomes that must be mastered by students of the Public Health Study Program. Over the past two years, the implementation of lectures has been predominantly based on problem-based learning; however, most student learning outcomes have remained in the “not yet achieved” category, including in completing assignments related to ethical and health law problem solving. This study aims to compare students’ problem-solving abilities between the implementation of project-based learning and problem-based learning. The research was conducted in the Public Health Study Program at Universitas Jambi involving first-semester students enrolled in the Ethics and Health Law course. The research employed a quasi-experimental design involving 200 students, with 100 students assigned to the experimental group and 100 students to the control group. The instruments used were assessment sheets and observation sheets. Data collection was carried out twice, before and after the implementation of the two learning models. Data processing and analysis were conducted using an independent t-test.The results of the study indicate an improvement in students’ problem-solving abilities through the implementation of project-based learning. Project-based learning contributes to strengthening students’ perseverance and problem-solving skills and is therefore recommended for implementation in all courses at higher education institutions.

This study aims to analyze the obstacles in Social Studies (IPS) learning related to global issues influenced by technological advancement through a literature review method. Social Studies plays an essential role in shaping students’ understanding of social, economic, cultural, and political life while fostering global awareness in the digital era. However, in practice, IPS learning often faces various challenges that reduce its effectiveness and attractiveness. One of the main problems is students ’low interestin IPS, as it is often perceived as boring and overly theoretical, combined with the influence of technology that diverts students’ attention toward digital entertainment. Other contributing factors include non-interactive teaching methods, limited learning facilities, unconducive classroom environments, and a lack of parental support. Through a comprehensive literature review, this study found that relevant strategies to overcome these issues include Project-Based Learning, Technology Integration, and Contextual Approaches. These strategies enable students to learn actively, critically, and collaboratively by linking IPS material to global issues and real-world phenomena. The recommended solutions include implementing project-based education, utilizing interactive digital media, and fostering intercultural dialogue within the learning process. The results of this study are expected to provide theoretical contributions to the development of adaptive IPS learning models in response to technological progress, as well as practical benefits for teachers, schools, and policymakers in creating Social Studies learning that is engaging, meaningful, and relevant to the global challenges of the 21st century.

The integration of Augmented Reality (AR) technology into higher education has emerged as a promising approach to enhance collaborative learning experiences. This study aims to design and evaluate an AR multimedia framework that facilitates real time interaction and spatial visualization, creating immersive and engaging learning environments for students. The AR framework was developed with a focus on improving student engagement, collaboration, and learning outcomes through interactive 3D models and real time feedback. By leveraging AR technology, the study sought to address common challenges in traditional learning environments, such as limited student interaction and engagement, and lack of real time feedback. The experimental evaluation involved two student groups: one using the AR-based system and the other using conventional multimedia tools. Findings revealed that students using the AR framework showed significant improvements in engagement, interaction frequency, and collaborative task performance. Additionally, the AR framework contributed to better learning outcomes, including enhanced comprehension, retention of complex concepts, and improved problem-solving skills. The study also highlighted the importance of incorporating a user-centered design approach in developing AR applications to ensure that the system meets the needs and preferences of learners. Qualitative feedback from students indicated that the AR system provided an enriched learning experience, although challenges such as interface navigation were noted. Overall, the study demonstrates the effectiveness of AR in fostering collaborative learning and offers practical insights for its integration into higher education curricula. Future research should explore the integration of AR with other immersive technologies to further enhance collaborative learning experiences.

This study discusses the development of thematic teaching materials in elementary schools to improve the quality of learning in accordance with the 2013 Curriculum. The research method used is research and development with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The results show that the thematic teaching materials developed with approaches such as Project Based Learning (PjBL), Problem Based Learning (PBL), and Contextual Teaching and Learning (CTL) can enhance students' critical thinking, creativity, and social responsibility skills. The integration of local wisdom values as well as the use of digital and contextual teaching materials make learning more engaging, interactive, and meaningful. The thematic teaching materials based on these innovative learning models can help students develop 21st-century skills. Thus, the development of thematic teaching materials based on innovative models is an effective strategy for creating quality learning in elementary schools that is relevant to curriculum demands and the needs of today's learners. The use of technology and contextual approaches enriches students' learning experiences, making them more relevant and beneficial in daily life.

This study examines the role of mathematics learning in improving logical thinking skills in early childhood. The background of this study is based on the importance of logical thinking skills as a foundation for children's cognitive development, which can begin at an early age through appropriate mathematics learning. The purpose of this study is to analyze how mathematics learning can stimulate the development of logical thinking in early childhood and explore effective learning strategies. The methods used are library research and observation of several models of mathematics learning for early childhood in early childhood education institutions. The findings indicate that fun and concrete activity-based mathematics learning can improve children's abilities in critical thinking, constructing patterns, drawing conclusions, and solving simple problems. The implications of this study emphasize the need for the application of creative and interactive mathematics learning methods to support the development of logical thinking from an early age, while also encouraging educators to integrate mathematics into children's daily activities. This study also recommends the development of learning media appropriate to children's developmental stages for optimal results.

This systematic literature review examines research trends in problem-based learning (PBL) within blended learning contexts by analyzing 64 peer-reviewed articles from Scopus database published between2020-2024. Using PRISMA methodology, this study identifies key patterns including the dominance of medical education contexts (71.9%), the significant impact of COVID-19 pandemic on pedagogical innovations, and the prevalence of experimental research designs (34.4%). Findings reveal that blended learning emerged as the most researched approach (61%), followed by online/distance learning (23%) and flipped classroom models (11%). The analysis indicates increasing publication trends in 2022 and 2024, with Education Sciences and BMC Medical Education as leading publication venues. This review highlights research gaps in engineering and technology education contexts, limited exploration of long-term learning outcomes, and insufficient mixed-methods studies. These findings provide valuable insights for educators, researchers, and policymakers in designing effective learning strategies that integrate problem-based and blended learning approaches in diverse educational settings.

The advancement of knowledge and technology in the 21st century has changed human life patterns and demands a transformation in the world of education to be able to prepare students to face global challenges. 21st-century education emphasizes the mastery of critical, creative, communicative, collaborative skills, and technological literacy needed in the digital era.The purpose of this study is to investigate the idea of 21st-century learning, relevant learning models, and the role of teachers as facilitators, innovators, and agents of change in the modern learning process. This study uses a library research strategy by reviewing numerous scientific materials linked to 21st-century competencies, Learning methods including cooperative Learning, Project Based Learning, Problem Based Learning, and Discovery Learning, as well as the TPACK framework as a basis for technology integration. The study’s findings show that 21st-century learning requires the implementation of a learner-centered approach and the planned use of technology to raise the standard of learning procedures and results. In addition, teachers have a strategic role in guiding to enable pupils to acquire higher order thinking abilities and adapt to changing times. The implications of this study emphasize the importance of strengthening teacher competencies and implementing innovative learning models is an attempt to raise educational standards in the global era.

This research aims to determine the effect of learning using the Problem Based Learning model assisted by the Powtoon application on the learning outcomes of Class XI Madrasah Aliyah at the Islamic Education Park (TPI) Sawit Seberang. This research is a type of quantitative research with a Quasy Experimental Design. The research population was 36 students in class XI MIA A and 36 students in class XI MIA B, 36 students in class XI MIA C and 36 students in class, and X MIA C totaling 36 people as the control class. The instrument in this research is in the form of a test in the form of 30 multiple choice questions. Data analysis of student learning outcomes using the t-test formula, also with the help of SPSS version 25 data processing. Data analysis of student learning outcomes with the results of calculating the average learning outcomes shows that the experimental class which uses the Problem Based Learning models is higher than the control class. The prerequisite test is proven that the data is normally distributed and homogeneous. The results of the test calculation were obtained under count worth 9.709 and table worth 1.668 so that it shows tcount > table so Ha2 is accepted. The conclusions in this research explain that there are influences and differences before and after the implementation of the Problem Based Learning model on student learning outcomes in class XI Madrasah Aliyah at the Islamic Education Park (TPI) Sawit Seberang.

The research intends to formulate an integrative approach for designing the Merdeka Curriculum based on Deep Learning in the Economics subject at SMA N 1 Boyolali. The rapid advancement of digital technology demands more adaptive, contextual, and student-centered learning models aligned with 21st- century competencies. Using a an exploratory research approach supported by a structured assessment of prior studies (SLR), this research synthesizes theoretical perspectives and previous studies related to curriculum design, deep learning, and educational innovation. The results reveal that the incorporation of Deep Learning into the Merdeka Curriculum offers a more responsive and data-driven framework, enabling deeper conceptual understanding, critical thinking, and problem-solving skills in Economics learning. However, several challenges were identified, including teachers limited digital competence, insufficient infrastructure, and minimal curriculum innovation training. The study emphasizes the significance of combining technological and pedagogical innovation to strengthen learning quality. The results provide a conceptual model that educators can adopt to design an adaptive curriculum aligned with students’ characteristics and contemporary educational demands.