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The Merdeka Curriculum demands the development of teaching materials that are adaptive, contextual, and relevant to the demands of 21st-century learning. This article aims to examine the strategy for developing teaching materials based on the Merdeka Curriculum that can support the strengthening of 21st-century competencies, such as critical thinking, creativity, collaboration, and digital literacy. The method used is a literature review of various studies related to the Merdeka Curriculum, teaching material development, and 21st-century learning. The findings show that effective teaching material development must consider the integration of local context, the use of digital technology, and project- and problem-based approaches. In addition, it is also important to conduct continuous reflection and evaluation in the teaching material development process. With the right strategy, teaching materials based on the Merdeka Curriculum can become a key tool in creating meaningful, flexible learning that aligns with the needs of 21st-century learners. Through the implementation of this strategy, it is hoped that a more effective learning process that aligns with the times can be created.

Academic stress is one of the main challenges experienced by postgraduate students due to complex academic workloads, such as thesis writing, scientific publications, work demands, and personal roles. This condition can trigger emotional exhaustion, decreased concentration, anxiety, and burnout. This study used the Systematic Literature Review (SLR) method to analyze the role of mindfulness as a stress management strategy in college students. The literature analyzed included studies from 2020–2025 that examined the relationship between mindfulness and academic stress, including interventions based on Mindfulness-Based Stress Reduction (MBSR) and Mindfulness-Based Cognitive Therapy (MBCT). The study results showed that mindfulness has a significant effect on reducing academic stress, improving emotional regulation, learning focus, sleep quality, and psychological well-being. Mindfulness also helps students build resilience and develop adaptive mindsets in dealing with academic pressure. These findings confirm that mindfulness can be an effective and applicable strategy in supporting the mental health of postgraduate students.

The purpose of this study was to determine how puzzle games affect the problem-solving abilities of early childhood children. This study used quantitative methods and a quasi-experimental design. The study involved children aged 4 to 6 years from various early childhood education institutions (PAUD). Purposive sampling was used to collect samples. Data were collected through pre-tests and post-tests of problem-solving abilities and observations of children's behavior while playing puzzles. Logical thinking, creativity, concentration, focus, use of problem-solving strategies, and willingness to learn were all metrics used for assessment. To determine the differences in abilities before and after treatment, the collected data were analyzed statistically. The results of the study showed that puzzle game intervention improved children's problem-solving abilities. Children learned to identify problems, make plans for solutions, and work independently. In addition, it was proven that puzzle games as a learning medium were more effective with the help and guidance of teachers and parents. According to this study, puzzle games are an effective tool for developing the cognitive, social, and emotional abilities of early childhood.

This study aims to analyze the implementation of Nusantara Islamic values ​​in multicultural education within the Integrated Islamic School (SIT) Al-Ftih environment. Nusantara Islam, as a religious concept characterized by moderation, tolerance, and accommodating local culture, has high relevance in developing education that respects diversity.Meanwhile, multicultural education emphasizes equality, inclusivity, and recognition of students' cultural identities.This research employed a qualitative approach with a case study method. Data collection techniques included interviews, observation, and documentation, and its validity was tested through triangulation. The study results indicate that the integration of Nusantara Islamic values ​​in SIT Al-Fatih Sukabumi remains partial, primarily limited to thematic religious activities and has not yet systematically addressed the curriculum, pedagogy, or school culture. Supporting factors for implementation include the availability of local culture, support from some teachers, and religious moderation policies. Inhibiting factors include a lack of teacher training, the dominance of Middle Eastern Islamic references, and a lack of multicultural evaluation instruments.This study concludes that a comprehensive implementation model that integrates Islam Nusantara into the curriculum, learning, and school culture is needed. Recommendations include developing standard operating procedures (SOPs) for religious moderation based on local wisdom, teacher training, and developing evaluation instruments for the internalization of Islam Nusantara values.

Understanding God in Christian education plays a crucial role in the moral formation of children, as the theological concept of God forms the foundation for values, character, and ethical actions, developed from an early age. In Christian education, the process of moral formation does not simply rely on rules or customs, but rather rests on the child's personal relationship with God as a loving, guiding Being, and the source of truth. This study uses qualitative methods with a library research approach to explore how the concept of God according to Christian theology can serve as a foundation for the comprehensive moral formation of children. The aim of this study is to analyze how God's attributes such as love, holiness, justice, and faithfulness can be applied in the educational process so that the moral values formed are not formalistic but grow from a deep spiritual awareness. The research findings show that a proper understanding of God helps children recognize moral standards rooted in God's character, develop ethical attitudes, and strengthen the internal drive to live according to His will. This research is also expected to contribute to Christian educators in developing theological, contextual, and effective learning strategies to continuously cultivate children's morality in accordance with the principles of the Christian faith.

The purpose of this study was to examine how problem-based mathematics learning affected the learning interest of 5- to 6-year-old students at the Ki Hajar Dewantara State Kindergarten in South Jakarta. To compare problem-based mathematics learning and conventional learning, this study used a quantitative method and a quasi-experimental design. Problem-based learning is intended to use mathematical problems in children's daily lives. Children in group B were divided into experimental and control groups. To collect data, structured observations were conducted on elements of children's interest in learning. These included enjoyment, focus, activity, and willingness to participate in learning activities. To determine the difference in the level of interest in learning between the two groups, the data obtained was analyzed statistically. The results showed that, compared to conventional learning, problem-based mathematics learning had a significant effect on increasing children's interest in learning. Children showed more enthusiasm, better concentration, active involvement in activities, and critical thinking skills in solving mathematical problems. The results showed that effective problem-based mathematics learning made learning meaningful, enjoyable, and appropriate for the characteristics of early childhood development.

Learning and teaching from the perspective of the Qur'an are not only understood as intellectual activities, but also as spiritual, emotional, and moral processes that shape the whole human personality. Learning is an obligation for every individual to develop their human potential and get closer to Allah SWT, while teaching is seen as worship and a social responsibility in spreading knowledge and good values. This study aims to examine the interpretation of the verses of the Qur'an related to the obligation of learning and teaching, namely QS. At-Taubah: 122, QS. Al-Ghasiyah: 17–20, QS. Al-'Ankabut: 19–20, QS. Al-Qalam: 1–4, and QS. Al-'Alaq: 1–5. The method used is a literature study with a thematic interpretation approach (maudhu'i). The results of the study indicate that the obligation of learning and teaching is lifelong (long life education) and is an important foundation in building an Islamic civilization that is moral, knowledgeable, and competitive.  

Bullying in Indonesian educational settings remains a serious problem that requires widespread attention. Poor legal understanding among children and adolescents, coupled with suboptimal child protection regulations, increases the risk of violence in schools. To address this issue, a "Fight Bullying" outreach program was conducted in Sumeith Pasinaro Village, aimed at improving students' understanding of the definition, forms, impacts, and legal consequences of bullying. This program utilized a qualitative descriptive approach and a participatory education model, involving 47 students from Sumeith Pasinaro Elementary School and Elpaputih 2 Junior High School. The methods employed included material delivery, interactive discussions, and assessments to provide students with an in-depth understanding of the legal education provided. The evaluation results showed a significant increase in students' understanding of bullying, with an average level of understanding reaching 80.83%. Students were able not only to identify the types of bullying but also to understand the long-term impacts on both victims and perpetrators. This outreach program also helped students understand the legal regulations governing bullying and encouraged them to report or stop such acts. This program emphasizes the importance of a planned and sustainable approach involving teachers and parents to prevent bullying, as well as creating a safe learning environment and supporting child protection.

The rapid development of digital technology requires teachers to possess competencies that are relevant to modern learning needs. This necessity underlies the focus of this community service program, namely transforming teacher competencies through character-based learning innovation supported by Artificial Intelligence (AI). The program was conducted at Madrasah Tsanawiyah Nurul Huda Muaro Jambi with the aim of strengthening teachers’ skills in utilizing AI as a tool to support interactive learning while instilling character values in students. The method included socialization, training, and direct mentoring in the practical application of AI-based learning media in the classroom. The results showed significant improvements in teachers’ ability to design technology-based learning materials, a better understanding of integrating character education, and increased motivation to innovate. Furthermore, the program fostered a more engaging learning atmosphere aligned with the needs of the digital generation. Therefore, the transformation of teacher competencies through AI not only enhances teacher professionalism but also plays a crucial role in shaping students with strong character amid technological advancement.

The development of modern education demands that teachers play a broader role beyond merely delivering subject matter, including building professional reputation, credibility, and positive influence on students, colleagues, parents, and society. For Christian Religious Education teachers, personal branding has a deeper dimension because they also serve as role models and ambassadors of Christian values. This study aims to describe the formation of personal branding among Christian Religious Education teachers based on spiritual and theological values, as well as its impact on teaching and student character development. The method used is descriptive qualitative through a literature study of books, journals, notes, and relevant reports, with narrative analysis to illustrate the practices and values that shape teachers’ personal branding. The findings indicate that the personal branding of Christian Religious Education teachers is an integration of professional competence, personal integrity, and Christian values, encompassing authenticity, consistency, professionalism, spiritual and moral role modeling, inspirational and communicative abilities, adaptation to technology, and positive relationships with students and the community. Spiritual and theological values such as Christian love, integrity, humility, patience, justice, service, and commitment to God’s Word form the main foundation that strengthens teachers’ credibility, motivates students, and establishes them as living examples of Christian life. Personal branding for Christian Religious Education teachers is not merely an image or popularity, but a real reflection of faith, character, and daily behavior consistent with Christian teachings, thus supporting effective learning, student character formation, and the teacher’s reputation as an authentic, inspiring, and professional educator.  

This research presents the development of the Rembulan E Learning platform using Moodle as the primary Learning Management System for SMK Negeri 1 Pandeglang.The main objective is to provide a structured, accessible, and interactive digital learning environment that effectively supports teaching and learning activities, enhances student engagement, and facilitates teacher management of course materials. The study applies the Waterfall development model, which includes five stages requirement analysis, system design, implementation, testing, and deployment. Data collection methods involve observation of classroom practices, in depth interviews with teachers to identify pedagogical and technological needs, and comprehensive documentation review to ensure alignment with curriculum standards and user expectations. The resulting system integrates features such as digital classrooms, learning modules, assignments, discussion forums, quizzes, and student performance monitoring, offering a comprehensive digital learning experience. System testing was conducted using Black‑box Testing, complemented by limited user trials with teachers and students, which confirmed that the platform is functional, user friendly, and capable of supporting a variety of learning activities. This research contributes to the implementation of Moodle based LMS development in vocational schools, providing practical guidance for improving digital learning quality, promoting blended learning approaches, and facilitating sustainable adoption of educational technology in secondary education.

This study aims to analyze the implementation of the Management Internship Program (KKM) and its contribution to improving students' professional competence at the Medan Amplas District Office. The background of this study stems from the need for higher education to produce graduates who not only master theory but also possess practical skills appropriate to the demands of the workplace, particularly in government administrative environments. This study used a qualitative descriptive method through in-depth interviews, questionnaires, and direct observation of KKM participants and field supervisors. The results showed that the KKM program had a significant impact on improving students' professional competence. Improvements were seen in hard skills, such as understanding of government administration (88%), ability to use office applications (81%), and report preparation (76%). In addition, there was a significant increase in soft skills, including communication skills (92%), discipline (85%), and self-confidence in completing tasks (78%). Direct interaction with employees and the community and active guidance from field supervisors were key supporting factors in the program's effectiveness. However, the study also identified several obstacles such as limited supervision and high agency workload. Overall, this study concludes that KKM plays an important role as a contextual learning tool that is able to improve students' professional competence through the application of theory to real practice in the government environment.

This study aims to evaluate the effectiveness of the Artificial Intelligence-Based Learning Media Development Program (P3MP-AI) in enhancing teachers’ technological and pedagogical competencies at SMK Muhammadiyah 2 Malang. The program employed a descriptive approach using both quantitative and qualitative methods, including pre-test and post-test assessments, as well as direct observation of the training process. A total of 30 teachers from various disciplines actively participated in the program conducted on August 12, 2025. The evaluation results revealed an increase in the participants’ average scores from 100 to 130 out of a maximum of 150, indicating a significant improvement in their understanding of AI concepts and applications in education. Beyond competency enhancement, the training also fostered teachers’ confidence, creativity, and ability to integrate AI-based tools into interactive learning media. However, several challenges were identified, such as limited technological resources and time constraints in classroom implementation. Overall, this program has made a tangible contribution to strengthening teachers’ digital literacy and can serve as a replicable professional development model for other vocational schools seeking to advance AI-based educational transformation.

One of the skills in facing global challenges in the application of 21st century skills is critical thinking skills in solving problems with a scientific attitude (Eka et al., 2020) critical thinking skills enable them to be able to face complex situations and make wise decisions. The application of case-based learning can be a learning solution including in learning with limited meetings in class because it is oriented towards developing critical thinking skills in solving cases. This study uses a descriptive-analytical library research method, where data is collected from various library sources such as books, journals, and scientific articles. This research is a qualitative descriptive type that relies on analysis to determine, interpret, and clarify the data or information collected. This method aims to obtain an overview of the Case Method Learning Design on Halal Haram Material in the Al-Qur'an Hadith Subject of Class XII Madrasah Aliyah at Dayah Modern Ihyaaussunnah Lhokseumawe. This study successfully designed a case-based learning method as an innovative approach in teaching the Qur'an and Hadith on the topic of Halal and Haram in grade XII of Madrasah Aliyah. However, the implementation of this method also faces challenges such as the need for teacher readiness in designing and moderating cases, limited class time, and variations in students' abilities in analyzing cases

The Motor Operated Valve (MOV) is a critical component in fluid control systems at Steam Power Plants (PLTU). Training new technicians is often hindered by limited access to actual equipment and operational safety risks. This research aims to design and develop an Arduino-based MOV control module simulator capable of simulating basic functions such as open, close, stop, and limit switch responses. The method used is Research and Development (R&D) with an experimental approach. The simulator was tested using a DC motor as the simulated valve actuator, equipped with push buttons, relays, limit switches, and indicator lamps for visual feedback. The test results showed that the simulator successfully represented control functions with 100% accuracy in limit switch responses and consistent operation. User evaluations involving ten new technicians indicated an 85% satisfaction rate in terms of ease of understanding and operational safety. This simulator has proven to be an effective, interactive, and safe learning medium for new technicians at PLTU Nagan Raya.  

This study investigates the impact of GeoGebra-assisted collaborative learning on students' understanding of function graphs. Function graphs are fundamental in mathematics education, yet many students struggle to grasp the relationships between variables, primarily due to traditional teaching methods that focus on procedural skills rather than conceptual understanding. To address this challenge, the study incorporates GeoGebra, a dynamic mathematics software, alongside collaborative learning strategies. The research utilizes a quasi-experimental design involving high school students who had previously struggled with function graphs. The results demonstrate that the experimental group, which engaged in GeoGebra-assisted collaborative learning, showed a significant improvement of 27% in their post-test scores, compared to just a 6% improvement in the control group using traditional methods. The study highlights the effectiveness of GeoGebra in fostering a deeper conceptual understanding of mathematical functions by enabling students to visualize and manipulate graphs interactively. Additionally, collaborative learning encouraged peer interaction, reinforcing the learning process and promoting better problem-solving skills. The findings suggest that combining interactive tools like GeoGebra with collaborative learning techniques can enhance students’ mathematical comprehension, leading to improved engagement and performance in mathematics education.

Credit scoring is an important element in decision-making for providing financing, especially for microfinance institutions. Several methods for predicting credit scoring include Decession Tree, Gradient Boosted, Neural Network, K-NN, and Rule Induction. This study aims to improve the accuracy of financing risk prediction by efficiently integrating historical data. The Neural Network (NN) algorithm is a machine learning algorithm consisting of neurons (nodes) connected to each other in several layers (input, hidden, and output). NN is used for pattern recognition, classification, regression, and complex non-linear modeling. The NN algorithm has the advantage of working well on large and diverse data and unstructured data. However, the NN algorithm has weaknesses such as overfitting and data dependence. In this study, the integration of the Sample Bootstrapping and Weighted Principal Component Analysis (PCA) methods is proposed to improve optimal accuracy in the NN algorithm. The Sample Bootstrapping method is used to reduce the amount of training data to be processed. The Weighted PCA method is used to reduce attributes. This study uses a financing customer dataset. The results of the study show that the integration of the NN algorithm with Sample Bootstrapping and Weighted PCA resulted in an accuracy increase of 1-3% (97%-99%) compared to other algorithms. Therefore, it can be concluded that the integration of the NN algorithm with Sample Bootstrapping and Weighted PCA produces better accuracy than other algorithms

This study evaluates the efficiency of two artificial intelligence models, DeepSeek and OpenAI, in generating code for algorithmic systems. Efficiency is assessed through execution speed, code accuracy, and the number of code characters produced. Data were collected from 100 tests covering search, sorting, graph, dynamic programming, optimization, data processing, text, and machine learning algorithms. The objective is to compare the performance of both models to support the development of efficient information retrieval systems. The method involves algorithm testing with statistical analysis of execution time, accuracy, and code length. Results indicate that DeepSeek has an average execution time of 28.74 seconds, slightly slower than OpenAI’s 28.49 seconds. However, DeepSeek’s accuracy (85.88%) surpasses OpenAI’s (85.03%). The average number of code characters is identical at 96.35 characters. The study concludes that DeepSeek excels in accuracy, while OpenAI is faster in certain cases, providing valuable insights for developers in selecting AI models for information retrieval applications.

Behind the success of the Free Nutritious Meal Program (MBG), there are several problems related to the health factors of the program targets, namely, there are several cases of allergies that occur in schools, inadequate understanding of allergen management owned by food processing vendors, and the high cost of laboratory tests and the process that takes a long time. So, to overcome these problems, an application is proposed that can help detect allergens in food products using data mining and machine learning approaches. SVM and AdaBoost algorithms each have advantages that can be used to help build an optimal allergen detection model. This research uses a cross-validation model validation method with a value of K = 10 to help improve the performance of the model built. In this study, from the entire fold, an average accuracy value of 98.74% was obtained. To evaluate the model built, this research has also conducted several new data inputs, and in each new data input, the accuracy value is obtained above 99%. This indicates that the model built, namely the combination of SVM and AdaBoost algorithms with the cross-validation model validation method, produces high accuracy, so this model can greatly assist the allergen detection process in food products.

This community service was carried out at SMAS PGRI 1 Mojokerto City with the main goal of improving student discipline through the application of Japanese-style discipline culture. This activity is designed in a structured manner to have a real and sustainable impact on student behavior and the integrity of educational institutions. The method used is a participatory and applicative approach, so that students not only passively receive information, but also actively engage in the process of learning, reflection, and discipline practice. This approach emphasizes the direct involvement of students in activities that foster awareness, responsibility, and positive habits that support the creation of a conducive learning environment. The results of the implementation of activities are divided into three main categories. First, the short-term results seen immediately after the activity are increased students' motivation and understanding of the importance of discipline. Second, the medium-term results that appear within 1-3 months are in the form of real behavioral changes, such as punctuality, neatness, and compliance with school rules. Third, long-term results that contribute to strengthening the integrity of the institution as a school with a high discipline image. Thus, this community service is expected to be able to become a model for implementing a discipline culture that is effective, sustainable, and relevant to the needs of education in Indonesia.