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The rapid development of technology in today's era requires every profession to align with existing developments. The teaching profession is no exception. Teachers must be able to utilize technology in the learning process to create an engaging learning environment for students. To support this capability, training is essential. This community service activity aims to provide training to teachers at Bancong  Elementary School in Wonoasri District, Madiun Regency, to familiarize themselves with and be able to use the GeoGebra application. This training also aims to improve teachers' competency in utilizing digital technology as a learning medium. The GeoGebra application is an effective application for solving mathematics problems in elementary schools, particularly in geometry, particularly plane figures. The implementation method for this activity includes preparation, training, and mentoring. The training was provided in the form of workshops and hands-on practice using GeoGebra-based mathematics learning media. The activity proceeded orderly and smoothly, and the training participants understood the material well, both theoretically and in practice.

This study discusses the introduction of digital signature patterns using the Backpropagation method on Artificial Neural Network (JST) to identify a person's characteristics and potential. The increasing use of digital identities demands a verification system that is more secure, accurate, and adaptive to the variations of each individual's signature. The main problem faced in the signature recognition system is the low level of accuracy when the visual features of the signature have similarities between users, both in terms of shape, size, and stroke pressure. In addition, variations of signatures made by the same individual are also a challenge in the identification process. As a solution, this study implements Principal Component Analysis (PCA) to extract important features from the signature image before the training process using JST. PCA is used to reduce the data dimension so that the learning process becomes more efficient and optimal. A total of 80 signature images were used in this study, consisting of 60 training data and 20 test data. The results showed that the system was able to achieve an accuracy level of 92.5%. These findings prove that the combination of PCA and JST methods is effective in recognizing digital signature patterns and has the potential to be applied to digital security-based biometric identification systems.

The era of globalization demands that education systems produce human resources who are skilled, adaptable, and capable of competing in the international job market. However, several issues arise in efforts to prepare graduates who are well aligned with industry requirements. These challenges include the mismatch between competencies taught in educational institutions and those required by the workforce, limited digital literacy and technological mastery, the lack of soft skills development, and insufficient collaboration between schools and industries. Rapid technological advancements often result in curricula that lag behind the current skill demands of the labor market. Moreover, many students still lack the mindset, creativity, and adaptability needed to face global competition. This literature-based study aims to identify the main educational problems in preparing human resources for the world of work and propose strategic directions for improvement. Findings highlight the necessity of competency-based curriculum transformation, enhanced vocational training, integration of technology-based learning, and stronger partnerships between education providers and industry sectors. Enhancing teacher quality is also crucial to ensure learning processes remain relevant to global demands. By optimizing the roles of all stakeholders, education can produce graduates who possess not only technical expertise but also essential 21st-century skills such as communication, collaboration, problem-solving, and leadership. Therefore, education becomes the primary foundation for preparing a generation capable of competing globally and contributing to national development.

This research examines the implementation of the Deep Learning approach in Islamic Religious Education (PAI) learning at SMAN 61 Jakarta and its contribution to the development of students' critical thinking skills. This study was conducted due to the need for a learning model that encourages students to understand religious concepts through active, reflective, and meaningful learning experiences. The purpose of this research is to describe the implementation of Deep Learning in PAI learning and its influence on the development of students' critical thinking skills. This study employs a qualitative method with a descriptive research design, using interviews, classroom observations, and documentation as data collection techniques. The findings indicate that the Deep Learning approach supports students in participating more actively in discussions, analyzing religious issues related to real-life situations, and constructing arguments based on their own understanding. Students also demonstrate improvement in evaluating information, considering diverse perspectives, and providing more reflective responses to classroom problems. The study further identifies several challenges, including limited digital facilities, varying levels of student participation, and teachers’ readiness in managing diverse learning strategies and media. These findings suggest that Deep Learning has strong potential to enhance students’ critical thinking skills when applied systematically and designed to foster active participation and meaningful exploration during the learning process.

General education at Islamic Religious Higher Education Institutions (PTKI) plays an important role in developing students’ critical thinking skills so they can analyze religious and social issues reflectively and contextually. However, learning practices in PTKI are still dominated by teacher-centered approaches and low cognitive achievement, which limits the development of analytical, evaluative, and problem-solving abilities. Meanwhile, studies show that integrating digital media, particularly video, can improve conceptual understanding, motivation, and cognitive engagement, yet a digital video-based meaningful learning model specifically designed for the PTKI context remains limited. Therefore, this study aims to formulate a Digital Video-Based Meaningful Learning Model (MPBBVD) to enhance students’ critical thinking skills. This research employed a literature review method by analyzing books, scientific articles, research reports, and digital sources related to meaningful learning, constructivism, multimedia learning, digital video use, and critical thinking development. Data were analyzed descriptively and qualitatively to identify the theoretical foundations, learning syntax, and design principles of the model. The findings indicate that MPBBVD integrates Ausubel’s Meaningful Learning theory, constructivist perspectives from Piaget, Vygotsky, and Bruner, Mayer’s Multimedia Learning theory, and the critical thinking framework of Facione and Ennis. The model uses digital video as the main learning medium and applies the ACTIVE stages (Attend, Connect, Think, Interpret, Verify, Evaluate) to promote contextual and interactive learning. Integrating pre-, during-, and post-video activities supports knowledge construction, reduces cognitive load, and increases student engagement, contributing theoretically and practically to improving critical thinking in PTKI in the Industrial Revolution 4.0 era.

Introduction: Stunting remains a major public health problem in Indonesia, including in Blang Teue Village, North Aceh, where the prevalence of children at risk of stunting reaches 28% (Public Health Center, 2023). The main contributing factors are mothers’ limited knowledge of locally sourced complementary feeding (MP-ASI) and restricted access to nutrition education media. This community service program aimed to empower the community by developing QR Code-based interactive educational posters as an accessible and user-friendly nutrition learning tool. Methods : The method employed was Community-Based Participatory Research (CBPR) with a Participatory Action Research (PAR) approach, involving 30 respondents (mothers of toddlers), health cadres, village officials, lecturers, and students. Results : The results indicated a significant improvement in mothers’ knowledge regarding local MP-ASI, where the percentage of respondents with high knowledge increased from 20% to 67% after the intervention. Utilization of QR Code media was also high, with 60% of respondents accessing it intensively, and a positive relationship was found between the intensity of media utilization and knowledge level (83% of high-intensity users achieved high knowledge). Conclusion : This program not only enhanced community knowledge and skills but also fostered the emergence of local leaders from health cadres and PKK members, as well as promoted social transformation through strengthened digital literacy and the use of local food in stunting prevention.

In recent years, with the rapid development of artificial intelligence, many innovative changes have been made in the field of intelligent mobile robot development. In the field of control and navigation of mobile robots, learning-based methods have many advantages over traditional ones. The study of mobile robot control methods using deep reinforcement learning is a remarkable area in the development of mobile robots that must operate in dynamic environments. In the previous studies, the proposed robot control algorithms using deep reinforcement learning are mostly based on the given target point and obstacle information, the robot path planning is performed, and the corresponding control is based on the obtained path. The DDPG-based method is a typical example. However, in dynamic environments, DRL based robot path planning requires a state of target point and obstacles information, which leads to a large amount of computation, resulting in extremely long convergence time and even non-convergent cases. In this paper, we propose a new method for mobile robot control in dynamic environment that solves the dimensional problem by extracting the features of the configuration of obstacles using autoencoder and learning the DDPG algorithm based on the obtained features. Simulation results show that the proposed algorithm can effectively solve the mobile robot control problem in dynamic environment.

The purpose of this study was to evaluate the application of the Deep Learning approach in teaching mathematics in the first grade of addition and subtraction of numbers 1 to 20 in a story problem through the concrete media Si PONPEL and the educational game Quizizz Paper Mode. This technology-based learning is intended to make learning more interactive and enjoyable, but does not require personal digital devices. Qualitative and quantitative data were collected through a mixed-method research design to measure student understanding the result show that the Si PONPEL and Quizizz Paper Mode methods successfully improved students’ understanding of basic mathematical concepts, with an average increase in student scores of 38.33%. In addition, findings from interviews conducted with teachers and students showed that the Si PONPEL concrete media and this technology made students more engaged and motivated to learn. It is hoped that this research will make a significant contribution to creating more inclusive and interactive mathematics kearning in elementary schools.

The phenomenon of children not attending school in Situhiang Village is still a serious problem that has an impact on the social, emotional, and sustainable development of children's education. This service program aims to design and implement mentoring based on the Asset Based Community Development (ABCD) approach by involving parents, teachers, and the community as the main subjects in overcoming the causes of children not attending school. The ABCD method is used through the stages of asset mapping, expectation formulation, strategy design, action plan determination, and implementation of continuous mentoring. The results of the activity showed that the main causes of school absenteeism were related to children's negative experiences, family economic conditions, and social environmental pressures. Mentoring has succeeded in increasing parental awareness, strengthening community support, and creating a safer, more comfortable, and child-friendly learning environment. This program also fosters the collective commitment of residents to maintain the sustainability of education through the formation of education care groups. These findings confirm that community empowerment through an asset-based approach is effective in reducing children's risk of school dropouts, increasing primary education participation, and encouraging children's social inclusion in the community.

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 development of digital technology has driven the  increasing use of e-modules as interactive learning media that support  independent and collaborative learning. The integration of pedagogical approaches and multimedia technology makes e-modules increasingly adaptive and effective in developing higher-order thinking skills. This study aims to map trends in the development and utilization of e-modules through a Systematic Literature Review (SLR)  of Scopus articles published in 2020–2024. From the selection process, 20 articles were analyzed based on their pedagogical approach, as well as the media and digital platforms used. The study results show that pedagogical approaches such as Problem-Based Learning, STEM, SETS, Discovery Learning, and Guided Inquiry have been consistently proven to improve critical thinking skills, learning outcomes, and 21st-century competencies. From a technological perspective, Android and flipbook platforms are the primary choices due to their flexible access and multimedia support such as video, animation, simulations, and interactive quizzes. These findings emphasize the importance of developing systematic, pedagogically-based e-modules supported by interactive multimedia.  Further research is needed to explore the integration of AR/VR, gamification, and artificial intelligence.   

Effective learning requires teachers to be able to select and apply innovative learning strategies so that the learning process becomes more meaningful for students. Innovation in learning strategies is important because it can increase student engagement, motivation, and learning outcomes through approaches that are tailored to their needs and characteristics. This study aims to describe the role of innovation in learning strategies as the key to encouraging improved student learning outcomes. The method used is a qualitative literature study by collecting and analyzing various literature sources in the form of books, journals, and relevant scientific documents. The findings show that innovative learning strategies, such as problem-based, collaborative, contextual learning, and the use of technology, can improve students' critical thinking, creativity, and active participation. In addition, strategies creatively designed by teachers can create a more engaging learning atmosphere and motivate students to achieve learning objectives. This study implies the importance of improving teacher competence in developing innovative learning strategies as an effort to achieve optimal learning outcomes.

Waste has become a serious environmental problem in Indonesia, which continues to increase along with population growth. The issue of waste management poses serious challenges for the environment, especially in the process of separating organic and inorganic waste. In the field of computer vision, recognising the type and shape of waste through camera images remains a challenge due to variations in shape, colour, and complex lighting conditions. Therefore, this problem utilises Deep Learning technology, which is expected to be widely applied in Indonesia, especially in large cities with high waste volumes. This study aims to distinguish between organic and inorganic waste using the Convolutional Neural Network (CNN) method based on digital images. The developed CNN model was trained to recognise the visual patterns of each type of waste and tested to measure its accuracy. The test results show that the CNN-based classification system is capable of achieving an accuracy rate of 95%, thus proving the effectiveness of this method in supporting artificial intelligence-based automatic waste sorting systems.

This study aims to analyze the improvement of students’ knowledge and the alignment of the Civic Education learning model with the characteristics of third-grade students at SDN Kadipiro. The research problem arises from the tendency of Civic Education in elementary schools to rely heavily on lecture-based instruction, which results in low student engagement and limited comprehension of abstract concepts such as rights and obligations. A descriptive qualitative approach was employed through observations, interviews, and documentation to obtain a comprehensive picture of the learning process, the instructional model applied, and classroom dynamics. The findings reveal that the teacher implemented a game-based Discovery Learning model that emphasizes exploration, categorization, verification, and independent conclusion-making by students. This model proved effective, as evidenced by 85% of students being able to understand and distinguish examples of rights and obligations in accordance with the Civic Education learning outcomes. The study also indicates that game-based learning is more compatible with the students’ predominant visual and kinesthetic learning tendencies, enabling them to maintain focus more effectively than when using traditional lecture methods. However, several challenges emerged, including variations in students’ writing literacy skills and the absence of a structured assessment rubric. These findings underscore the need for flexible instructional design, the integration of concrete learning media, and the implementation of more systematic formative assessment practices. Future research is recommended to develop differentiated instructional strategies and to utilize more diverse media to accommodate the needs of heterogeneous classrooms.

The implications of progressivism in learning serve as an essential foundation for building an educational process that fosters active, creative, adaptive, and innovative students in accordance with 21st-century competency demands. The progressive approach positions students at the center of the learning process through direct experience, deep exploration, collaboration, dialogue, experimentation, and problem-solving relevant to real-life contexts, ensuring that learning is not only focused on content mastery but also on the development of potential, character, independence, and higher-order thinking skills. This study employs a literature review method by examining primary and secondary sources on the principles of progressivism, active learning strategies, and their relation to the Merdeka Curriculum as a foundation for national educational transformation. The findings indicate that progressivism plays a significant role in shaping critical thinking, creativity, communication, collaboration, digital literacy, and initiative through the implementation of learning by doing, project-based learning, simulations, scientific experiments, reflective discussions, and technology integration that strengthens learner autonomy. This experience-based approach effectively supports students in constructing knowledge independently while enhancing confidence, responsibility, social awareness, and cooperative skills. However, its implementation still faces challenges such as passive learning culture, limited teacher competence in active methods, insufficient facilities, overloaded curriculum, psychosocial barriers, academic anxiety, and students’ low confidence in expressing opinions. These findings affirm that progressivism is highly relevant to educational reform in Indonesia; therefore, improving teacher competence, strengthening facilities, reinforcing policies, providing continuous support, and creating safe, democratic, inclusive, and supportive learning environments are essential to help students develop optimally as independent, creative, and innovative learners.

This research was conducted to assess the effectiveness of using the Problem Based Learning (PBL) approach in teaching poetry writing in Indonesian language classes. This method was applied to assess the extent of students' mastery of the material and their response to problem-based learning. Based on the results of the questionnaire distributed, it was found that materials such as procedural texts, expository texts, negotiation texts, poetry, drama, and novels are materials that often use the PBL model. The results show that around 75%–80% of students understand learning with the PBL approach and show active and enthusiastic responses during the learning process. However, the implementation of PBL faces a number of obstacles, including limited time allocation and the level of readiness of students in digesting complex problems. Thus, periodic assessment and adaptation of the learning approach are key to optimising the effectiveness of this method.

The problem in this study is to determine what is the effect of the number tube game on the symbolic thinking ability of 4-5 year olds. The aim is to reveal whether there is a number tube game on the symbolic thinking ability of 4-5 year old children at Menara Laut State Kindergarten, Leato Utara Village, Dumbo Raya District, Gorontalo City. The type of research used is a quantitative experiment. The subject of this study is how to determine the effect of the number tube game. The method used in this study is the observation and documentation method. Based on the results of the observation, it was found that the symbolic thinking ability in recognizing numbers in children has not developed optimally. Although teachers have tried to introduce numbers, most children still have difficulty in naming, ordering, and writing numbers. Children also need teacher assistance to understand numbers 1-10 and distinguish between certain numbers such as 6 and 9. Therefore, a more effective and fun learning strategy is needed to help children understand the concept of numbers symbolically. In this case, it can be concluded that improvements through the application of the number tube game. This game was chosen because it is simple, easy to use, and in accordance with the characteristics of early childhood. Through a play-while-learning approach, children are expected to be able to recognize numbers more easily.  

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 is a classroom action research (CAR) conducted at MA Darussalam with the aim of improving mathematics learning outcomes through the application of the Probing-Prompting model. The subjects of this study were 26 grade XII students. Data collection was carried out using learning outcome tests given before and after the application of the learning model. The collected data were analyzed quantitatively and qualitatively. The results showed that the average score of students' learning outcomes in cycle I reached 82.38, while in cycle II it increased to 86.15. Based on the learning outcome completion category used, the achievement of students' mathematics learning outcomes in cycle I was 73.07%, and in cycle II it reached 100%. The application of the Probing-Prompting model has proven effective in increasing students' motivation and understanding of the material being taught. Thus, it can be concluded that the use of the Probing-Prompting model has a positive effect on improving students' mathematics learning outcomes, showing a significant increase in their understanding and skills in solving mathematics problems.

Moral learning in junior high schools often faces challenges in improving the understanding and application of moral values in everyday life, especially in the material of Trustworthiness and Honesty. This paper is intended to explain the design of the Problem-based learning (PBL) learning method as an innovation in moral learning of the material of Trustworthiness and Honesty in class VIII of SMP Muhammadiyah 4 Panarukan, which is expected to improve students' understanding through a more contextual, active, and applicable learning experience. The PBL method allows students to analyze real problems related to Trustworthiness and Honesty, develop solutions, and reflect on the application of these values in everyday life. This learning design method adopts two stages of the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model, namely the needs analysis stage and the learning design stage. The results of the study indicate that the need for moral learning in class VIII of junior high school includes the importance of more interactive and problem-based methods, which can bridge the gap between moral theory and its application in real life. This PBL learning design integrates case studies, group discussions, and reflection to create meaningful learning experiences related to the values of Trustworthiness and Honesty. Although this design has considered various pedagogical and contextual aspects, the method is still in the design stage and has not been directly implemented or evaluated. Therefore, further research is needed to test the effectiveness of the PBL method in the context of moral learning at SMP Muhammadiyah 4 Panarukan.