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This study discusses the learning process of Christian Religious Education (CRE) for early childhood based on a hermeneutical approach as a pedagogical strategy for fostering children’s faith from an early age. Early childhood is a critical stage in faith development; therefore, learning methods must be not only informative but also transformative and meaningful. This study employs a qualitative method through a literature review, analyzing hermeneutical theories, early childhood development studies, and CRE teaching practices in the Indonesian educational context. The findings indicate that the application of child-centered hermeneutics enables teachers to connect biblical messages with children’s concrete experiences through storytelling, visual media, role-playing, and multisensory activities appropriate to children’s world. Contextual, simple, and creative interpretation of biblical texts helps children internalize faith values more deeply and practically. This study emphasizes the importance of strengthening teachers’ competencies through practical hermeneutics training and implementing developmentally appropriate learning approaches. Thus, hermeneutics functions not only as a tool for interpreting biblical texts but also as a pedagogical process that holistically shapes children’s faith development.  

This research aims to determine the extent to which interactive quizzes can help improve students' understanding of Economics lessons in the Merdeka Curriculum, which focuses on a Deep Learning approach implemented at SMA Negeri 4 Surakarta. The results show that quite a few students have difficulty grasping economic concepts. The lack of participation and learning motivation, combined with the dominance of the lecture method, makes the learning process tend to be one-way. Conversely, the application of digital technology by educators is still very limited. This research uses a descriptive qualitative approach, collecting data thru observation, interviews, and documentation. A total of five students from the eleventh grade were selected based on purposive sampling techniques who had already taken economics lessons. The results show that the quiz format contributes to increasing students' interest, attention, and participation due to the presence of visual elements, screen animation, and a game-like atmosphere. However, obstacles such as slow internet connectivity or a slightly longer completion time than estimated did arise, although they did not hinder overall learning activities. Essentially, implementing this type of quiz aligns with the direction of the Merdeka Curriculum, which emphasizes in-depth conceptual understanding while also encouraging self-study habits, training the ability to reflect on the material, and creating a classroom atmosphere that tends to be more dynamic.

This research examines the practices of a B4 class teacher at RA Takhrimah Tungkop in identifying children’s Multiple Intelligences (MI) through authentic observation during an activity of printing moon shapes using banana stems. The study employed a descriptive qualitative approach with data collected through in-depth interviews and participatory observation. Data were analyzed thematically and supported by source and technique triangulation to ensure the validity of the findings. The results indicate that the teacher’s understanding of the MI concept was still focused on linguistic, logical-mathematical, and visual-spatial intelligences. Despite this limited conceptual scope, the implementation of authentic observation during the art-based activity successfully revealed a broader range of children’s intelligences. The moon-printing activity demonstrated indicators of visual-spatial intelligence through shape recognition and composition, bodily-kinesthetic intelligence through hand–eye coordination and motor control, and intrapersonal intelligence reflected in children’s ability to manage emotions, maintain focus, and show persistence during the task. Repeated observations accompanied by anecdotal records enabled the teacher to construct individual and continuous MI profiles for each child. These profiles can be utilized to design more varied, contextual, and child-centered learning strategies that align with the characteristics of early childhood learners in the Raudhatul Athfal setting. The practices observed also illustrate the connection between Gardner’s MI theory and Islamic early childhood education grounded in concrete learning activities. The findings support the development of child-friendly learning environments and encourage teacher creativity in conducting activity-based assessments. This study recommends strengthening teacher competencies through training in authentic MI assessment and further research using a research and development approach.

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.

This study examines community capacity building for flood mitigation in flood-prone regions of Central Kalimantan through disaster education, technical training, and the construction of an amphibious house prototype. Using a community-based disaster risk reduction (CBDRR) framework, the program integrates participatory training, field surveys, and adaptive structural innovation. Findings indicate a 40% increase in community knowledge based on  Community Empowerment Level Analysis results, active engagement of 35 participants in disaster education, and significant improvement in technical skills among 22 trainees involved in amphibious foundation construction. The prototype achieved 100% completion within four effective working days, demonstrating the feasibility of amphibious technology using locally available materials. Strengthening youth organization structures further enhances community readiness and institutional resilience. Overall, the integration of participatory learning and adaptive technology effectively builds community self-efficacy and disaster preparedness in flood-prone environments.

Digital transformation and advances in artificial intelligence (AI) have fundamentally changed the demands of the workplace, creating a gap between graduate competencies and industry needs. This study aims to evaluate the effectiveness of AI Agent-based career adaptability psychoeducation as a community empowerment strategy to improve the work readiness of high school/vocational school and university graduates. The study design used a descriptive-interventional approach with 27 participants who participated in a four-week online training. Data were collected through a pre-post survey using the Career Adapt-Abilities Scale (CAAS) and qualitative observations during the training. The results of the Wilcoxon Signed-Rank test showed a significant increase in career adaptability scores (Z = –4.543, p < .001), with all participants experiencing increased career adaptability. Observations showed that participants became more confident, reflective, and proactive in designing their career directions after interacting with the AI ​​Agent. These findings indicate that psychoeducational interventions integrated with intelligent technology can strengthen the adaptive capacity and work readiness of the younger generation. Theoretically, this study expands the application of the career adaptability concept in the context of AI-based learning; In practice, the results provide a relevant community empowerment model for educational and employment institutions in the era of digital disruption.

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.

This study aims to analyze the role of UINSU’s Community Service Program (KKN) students in enhancing Islamic entrepreneurial awareness among the residents of Pahang Village, Talawi District, Batu Bara Regency. The KKN program serves as a platform for applying academic knowledge while empowering communities through educational, persuasive, and participatory approaches. The students introduced fundamental concepts of Islamic entrepreneurship, including principles of justice, honesty, sustainability, and the avoidance of riba, gharar, and maisir. Through a series of activities such as seminars, micro-business training sessions, financial management mentoring based on sharia principles, and simple business model simulations, the villagers began to show improved understanding of Islamic economic values. Moreover, the active involvement of students created an inclusive learning environment that was accessible to various community groups. The findings indicate that the presence of KKN students contributed positively to cultivating entrepreneurial motivation, particularly among youth and micro-business actors. This improvement was reflected in changes in mindset, interest in initiating halal businesses, and increased awareness of applying sharia principles in daily economic activities. Thus, the KKN program not only provides practical experience for students but also offers a tangible contribution to strengthening sharia-based economic empowerment at the village level.

Digital transformation and advances in artificial intelligence (AI) have fundamentally changed the demands of the workplace, creating a gap between graduate competencies and industry needs. This study aims to evaluate the effectiveness of AI Agent-based career adaptability psychoeducation as a community empowerment strategy to improve the work readiness of high school/vocational school and university graduates. The study design used a descriptive-interventional approach with 27 participants who participated in a four-week online training. Data were collected through a pre-post survey using the Career Adapt-Abilities Scale (CAAS) and qualitative observations during the training. The results of the Wilcoxon Signed-Rank test showed a significant increase in career adaptability scores (Z = –4.543, p < .001), with all participants experiencing increased career adaptability. Observations showed that participants became more confident, reflective, and proactive in designing their career directions after interacting with the AI ​​Agent. These findings indicate that psychoeducational interventions integrated with intelligent technology can strengthen the adaptive capacity and work readiness of the younger generation. Theoretically, this study expands the application of the career adaptability concept in the context of AI-based learning; In practice, the results provide a relevant community empowerment model for educational and employment institutions in the era of digital disruption.

Ear, Nose, and Throat (ENT) health is an essential component of adolescents’ well-being and learning performance; however, health literacy related to ENT care among senior high school students remains limited. This community service activity aimed to improve students’ knowledge and basic ENT skills at SMA Negeri 9 Pekanbaru through skill lab–based learning as a school health promotion strategy. The program was conducted through theoretical education covering basic ENT anatomy and common ENT disorders among adolescents, followed by hands-on training in simple ENT examinations using demonstration and direct practice with learning aids. Evaluation was carried out using pre-test and post-test assessments to measure knowledge improvement, as well as direct observation to assess students’ practical skills. The results demonstrated a clear increase in students’ knowledge after the intervention, along with improved ability to perform basic ENT examinations under instructor guidance. Students also showed better understanding of early signs of ENT disorders and appropriate preventive behaviors. Participation and enthusiasm during the activities were high, and most students reported that the program was beneficial and relevant to their daily experiences. This activity also supported the School Health Unit (UKS) program and strengthened collaboration between the school and the university. In conclusion, skill lab–based basic ENT training is an effective promotive and preventive approach to enhancing ENT health literacy and basic clinical skills among senior high school students.

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.

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 aims to analyze the factors that influence students' interest in continuing their education to college using a machine learning approach. Data was collected through an online questionnaire completed by 727 students between July 27 and August 22, 2025, covering 23 variables consisting of respondent identity (gender, grade level, major) as well as internal and external factors such as parental support, learning motivation, and preferred type of college. The data preparation stage was carried out through column cleaning, deletion of empty data, encoding of categorical variables, and division of the dataset into 80% training data and 20% test data. The Naive Bayes algorithm of the CategoricalNB type was used because it was suitable for the categorical nature of the data. The evaluation results showed that the model was able to predict student interest with 96% accuracy. For the class of students interested in continuing their studies, the precision, recall, and F1-score values were above 0.95, while the performance in the class of students who were not interested was slightly lower due to the smaller amount of data. These findings show that Naive Bayes is proven to be effective and reliable in classifying students' interest in continuing their studies and can be the basis for decision-making in designing more targeted educational strategies.

Since 2022, the application of the Internet of Things (IoT) in the healthcare sector has grown significantly, marked by the increasing adoption of wearable technology, artificial intelligence (AI), machine learning (ML), and blockchain integration. Research highlights India and China as leading contributors in this domain. IoT enables real-time monitoring of chronic diseases, tracking of patient vital signs, and detection of health protocol compliance. Integrated systems such as Monit4Healthy and RADAR-IoT support personalized medical recommendations and cross-platform interoperability. However, key challenges persist, including patient data privacy and security, system interoperability issues, data fragmentation, and barriers to user acceptance due to cost, digital literacy, and device comfort. Proposed solutions include blockchain for secure data sharing, adaptive congestion control for network performance, and user training to improve technology adoption. Therefore, successful IoT deployment in healthcare requires a comprehensive approach that addresses technological, social, ethical, and sustainability aspects to achieve an effective and inclusive transformation of health services.

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 community engagement program aims to strengthen the halal value chain of micro, small, and medium enterprises (MSMEs) in Hagu Selatan Village, Banda Sakti District, Lhokseumawe City through knowledge transfer based on the Indonesian halal value chain model. MSMEs play a vital role in regional economic development, yet many still face challenges in understanding halal–thayyiban principles, fulfilling certification requirements, managing production processes, and accessing Islamic financing. Limited adoption of digitalization also reduces their competitiveness in the rapidly growing halal industry. The program applies a participatory approach by involving universities, village authorities, and MSMEs. Key activities include needs assessment, training on halal value chain concepts, technical assistance for halal certification documents, workshops on digital business practices, and business clinics on Islamic financing. A Halal Value Chain Learning Circle is also established to support continuous collaboration and knowledge sharing. The program is expected to enhance MSME capacity, improve product quality, expand market access, and contribute to a sustainable halal ecosystem in Aceh.

This study aims to evaluate the implementation and impact of an English training workshop for early childhood education teachers in Surakarta. The study employed a program evaluation design using a qualitative descriptive approach involving twenty playgroup and kindergarten teachers. The workshop was conducted over four days and was designed based on a needs analysis obtained through a pre-test and preliminary interviews. Data were collected through pre-test and post-test results, reflective questionnaires, and semi-structured interviews. The qualitative data were analyzed using thematic analysis. The findings indicate that the workshop had a positive impact on participants’ English proficiency as well as their affective aspects, particularly their confidence in using English in the classroom. The thematic analysis identified three main themes: emotional responses, understanding of the material, and collaboration. Participants demonstrated increased enthusiasm, reduced anxiety, and improved self-confidence. Contextual and practical materials helped participants connect theoretical concepts with classroom practice. Furthermore, interactive activities and collaborative discussions strengthened professional engagement and peer learning. These findings confirm that structured and needs-based training is effective in supporting the sustainable professional development of early childhood education teachers and contributes to improving the quality of English instruction in the classroom.

This study explores the integration of Science, Technology, and the Arts (IPTEKS) within an educational psychology framework to support the development of creativity, innovation, and collaboration among prospective Christian religious education teachers in West Java. Using a mixed-methods approach with a sequential explanatory design, the research combines quantitative and qualitative perspectives to obtain a comprehensive understanding of the phenomenon. Quantitative data were gathered through questionnaires distributed to prospective teachers, while qualitative data were obtained through in-depth interviews and participatory observations involving selected informants. The findings indicate that meaningful integration of IPTEKS contributes positively to the development of creative thinking, innovative teaching practices, and collaborative learning skills. Qualitative insights further reveal that institutional support, continuous professional development, and contextualized learning environments play a crucial role in optimizing the impact of IPTEKS integration. The study highlights the importance of aligning technological integration with psychological and pedagogical principles. It concludes that teacher education programs need to redesign curricula and training models that holistically integrate IPTEKS and educational psychology to foster relevant, transformative, and value-based learning in Christian education contexts.

Effective communication is a key competency for medical professionals, but traditional classroom-based methods in Indonesia face challenges such as limited practice, geographical barriers, and insufficient exposure to diverse patient scenarios. Mobile-assisted learning (MAL) offers a promising solution to enhance medical communication training outside traditional settings. This study investigates the effectiveness of MAL interventions in developing communication skills among Indonesian medical students and healthcare professionals. A mixed-methods approach was used, involving a quasi-experimental design with pre- and post-assessments of communication competence among 180 participants from three Indonesian medical schools. The MAL intervention included a mobile app with video demonstrations, interactive case scenarios, peer feedback, and microlearning modules. Quantitative data showed a significant improvement in communication competence (mean increase of 23.4%, p<0.001), with notable gains in information gathering (28%), relationship building (26%), and patient education (21%). The mobile platform saw high engagement (average of 4.3 sessions/week) and 87% module completion. Qualitative data revealed increased confidence in consultations, improved cultural sensitivity, and better time management. Challenges included inconsistent internet access, varying digital literacy, and resistance from traditional educators. MAL shows potential for improving medical communication in Indonesia, offering flexible, accessible training. Successful implementation requires addressing infrastructure issues, integrating MAL into existing curricula, and training faculty. This study adds to the growing evidence supporting technology-enhanced medical education in resource-limited settings.

Innovation in biology learning is increasingly necessary, as conventional instructional practices are often dominated by memorization-based methods that limit students’ active engagement and critical thinking development. Along with rapid advances in science and technology, digital applications offer new opportunities to enhance teaching and learning processes. One such application is Canva, a digital design platform that can be utilized as an effective learning media to support teachers and students in biology education. This study aims to describe the implementation of Canva-based learning media through a training program conducted at SMA Islam Terpadu Daarul Rahman and to examine its perceived usefulness for both teachers and students. The training involved teachers in developing biology learning materials using Canva by integrating visual elements, images, and videos to present complex biological concepts more clearly. The results of the training indicate that Canva is considered practical, user-friendly, and efficient by teachers in designing learning materials. Teachers reported that the application helped them present content in a more attractive and structured manner. Furthermore, students benefited from the use of Canva-based materials, as they demonstrated better understanding of the subject matter and increased interest in learning biology. The integration of visual and multimedia elements also supported the development of students’ critical thinking skills by encouraging analysis and interpretation of biological phenomena. Overall, the use of Canva as a learning medium shows potential to enhance the quality of biology learning and foster more meaningful learning experiences.