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The rapid development of the digital era has significantly impacted adolescents by increasing academic stress due to academic demands, performance pressure, and technological distractions. This condition is often exacerbated by low levels of emotion regulation, which negatively affect students’ learning focus and psychological well-being. Therefore, effective interventions are needed to help students manage their emotions adaptively. This community service program aims to enhance emotional balance and reduce academic stress through a mindfulness-based intervention at MA Plus Nururrohmah. The program employed a participatory approach with stages of preparation, implementation, and evaluation. It was conducted in two main sessions: a mindfulness session delivered by Erlin Kurnia Sri Rejeki, M.Pd.I, and an interactive stress-release session facilitated by Estria Solihatun Nurjannah, M.Pd. Data were collected qualitatively through observation, documentation, and analysis of students’ responses and participation. The results show improved emotional awareness, better recognition of stress conditions, and increased student engagement. Additionally, students demonstrated more positive emotional states after the program. Thus, mindfulness implementation contributes positively to enhancing emotion regulation and reducing academic stress and has potential as a sustainable school-based mental health intervention model.

The objective of this study is to determine the influence of teacher teaching style on student learning motivation in Islamic Religious Education at SMP Muhammadiyah 1 Wonosobo. The approach used in this study is a quantitative approach with a causal associative method. Data collection was conducted through the distribution of questionnaires to 144 respondents selected using probability sampling technique. Data were collected using questionnaires for the learning motivation variable and the teaching style variable. The technique analysis applied in this study is a simple linear regression analysis with the help of SPSS program. The results of this study indicated the the teacher teaching style has a significant and positive influence on student learning motivation in Islamic Religious Education subjects at SMP Muhammadiyah 1 Wonosobo. This result was proven by the results of the T-test which showed that the significance value of the regression model of this study is greater than the significance level value. Based on these results, it is suggested for Islamic Religious Education teachers at SMP Muhammadiyah 1 Wonosobo to apply adaptive and innovatice teaching style to maintain and increase student learning motivation.

This study aimed to develop teaching materials based on Problem Based Learning (PBL) assisted by Canva media for teaching biography writing to tenth-grade vocational high school students and to examine their validity, practicality, and effectiveness. The study employed a Research and Development (R&D) method using the ADDIE model, which consists of five stages: analysis, design, development, implementation, and evaluation. The participants were 30 tenth-grade vocational high school students. Data were collected through observation, interviews, expert validation questionnaires, student response questionnaires, biography-writing tests, and documentation. The data were analyzed using descriptive quantitative and qualitative techniques. The results revealed that the developed teaching materials achieved a validity score of 95%, categorized as highly valid based on evaluations by subject-matter and media experts. The practicality level reached 94%, categorized as highly practical according to students’ responses. Furthermore, the effectiveness test demonstrated an improvement in students’ biography-writing skills, as indicated by the increase in the average score from 63.47 in the pretest to 84.73 in the posttest. The Normalized Gain (N-Gain) score of 0.58 was categorized as moderate. These findings indicate that the Canva-assisted PBL teaching materials are valid, practical, and effective for use in biography-writing instruction for vocational high school students. The study contributes to innovations in Indonesian language teaching by integrating problem-based learning with digital technology to enhance students’ writing skills.

This study aims to describe the planning, implementation, and assessment of differentiated instruction in teaching descriptive text writing to ninth-grade students at SMP Negeri 2 Bendo, Magetan Regency. The study was conducted in response to students difficulties in generating ideas, selecting appropriate vocabulary, organizing ideas coherently, and producing vivid descriptive texts. This research employed a qualitative approach with a case study design. Data were collected through lesson plan observation, classroom observation, teacher interviews, and documentation of student learning products. The findings indicate that differentiated instruction was planned through a Merdeka Curriculum-based teaching module, diagnostic assessment, contextual material selection, and the use of PowerPoint, observation sheets, and tiered student worksheets. The implementation emphasized process and learning-environment differentiation through triggering questions, direct observation of real objects around the school, group work, individual scaffolding, immediate feedback, and reflection. Assessment was carried out continuously through diagnostic, formative, and summative assessment. Differentiated instruction helped students generate concrete ideas, organize their writing more systematically, increase motivation, and strengthen descriptive text writing skills. These findings affirm that differentiated instruction can serve as an adaptive strategy in Indonesian language learning at junior high school level.

Background:The digital transformation in education requires teachers to possess adequate competencies in utilizing technology to support innovative, interactive, and student-centered learning. However, the integration of digital platforms into classroom practices remains limited due to teachers’ varying levels of digital competence and experience. This community service program aimed to improve teachers’ competencies in utilizing digital platforms to support innovative learning implementation at SMAN 8 Banda Aceh. Methods:The program employed a participatory approach consisting of needs assessment, workshops, hands-on practice, mentoring, evaluation, and reflection activities. A total of 40 teachers from various subject areas participated in the program. The training materials included the use of Canva for developing digital learning media, Quizizz for gamified assessments, Google Workspace for collaborative learning, and Artificial Intelligence (AI) technologies to assist in instructional material development and creative learning activities. Program evaluation was conducted through participant observation, assessment of digital learning products, satisfaction questionnaires, and reflective discussions. Results: The results showed that participants successfully produced 18 interactive presentations using Canva, 10 digital modules, 8 Quizizz-based quizzes, and 4 evaluation instruments using Google Forms. Furthermore, teachers demonstrated improved competencies in designing digital learning media, developing technology-based assessments, integrating digital platforms into instructional practices, and utilizing AI as a learning support tool. The high level of participation and enthusiasm among participants indicated the effectiveness of the program in strengthening teachers’ digital literacy and technological competencies. Conclusion: In conclusion, the community service program successfully enhanced teachers’ competencies in utilizing digital platforms to support innovative learning in schools.

This study aims to analyze the strategies applied by teachers in shaping students' green behavior in grade IV of SDN Sarakan III, Sepatan District, Tangerang Regency. The approach used is descriptive qualitative. The research subjects include grade IV teachers, students, and the school principal. Data collection was carried out through observation, interviews, and document studies. Data analysis used the Miles and Huberman model, which includes data reduction, data presentation, and drawing conclusions. The research results show that teachers implement five main strategies, namely: (1) designing learning according to the objectives and characteristics of students; (2) encouraging active student participation; (3) presenting material contextually; (4) using Project Based Learning (PjBL) methods and the Contextual Teaching and Learning (CTL) approach; and (5) habituating environmentally caring behavior in everyday school life. The implementation of students' green behavior has been observed in the aspects of knowledge, attitude, and action, although consistency still needs to be improved, especially due to limited school facilities and differences in students' levels of awareness.

Cognitive development is an important aspect of early childhood growth because it forms the foundation for children’s abilities to think, remember, understand concepts, solve problems, and make decisions. Early childhood is often referred to as the golden age since development occurs very rapidly during this period, requiring appropriate stimulation from the surrounding environment, particularly the family. In this context, parents play a crucial role through the parenting styles they apply in daily life. This study aims to examine the relationship between parenting styles and early childhood cognitive development based on findings from previous research. The method used is a narrative review by analyzing relevant scholarly articles published between 2020 and 2026. Articles that met the inclusion criteria were then analyzed descriptively to identify the relationship between parenting styles and children’s cognitive development. The results of the review of 15 selected articles indicate that there is a significant relationship between parenting styles and early childhood cognitive development. Authoritative parenting emerged as the most consistently positive style, characterized by effective communication, emotional support, balanced supervision, and opportunities for children to develop independent thinking skills. Other factors, such as parents’ educational level, involvement in children’s learning activities, and a supportive learning environment, also contribute to cognitive development. In conclusion, authoritative parenting is considered the most effective approach in supporting optimal cognitive development in early childhood.

Stunting is a multifactorial public health problem influenced by various risk factors that may emerge during the prenatal period. Early identification of stunting risk during pregnancy is important to support preventive interventions. This study aimed to develop a stunting risk prediction model based on maternal prenatal factors using the Random Forest algorithm. Secondary data from 172 pregnant women, consisting of 83 stunting cases and 89 non-stunting cases, were analyzed. The predictor variables included maternal age during pregnancy, height, hemoglobin level, mid-upper arm circumference (MUAC), smoking history, hypertension, asthma, and diabetes mellitus. The research stages consisted of data preprocessing, model training using Stratified 5-Fold Cross Validation, performance evaluation, external testing, and feature importance analysis. Internal evaluation results showed an accuracy of 60%, precision of 60.6%, recall of 57.3%, F1-score of 58.9%, and AUC of 0.6688. External testing yielded an accuracy of 70% and an AUC of 0.6167. Feature importance analysis identified maternal age during pregnancy as the most influential variable in the prediction process. The findings indicate that maternal prenatal factors have potential for early stunting risk identification, although the predictive performance remains moderate. This approach may serve as a foundation for developing early screening tools to support targeted interventions among high-risk pregnancies.

The development of Artificial Intelligence (AI), particularly Large Language Models such as ChatGPT, has changed the paradigm of creative writing learning in secondary schools. However, empirical evidence regarding the relationship between the intensity of this technology utilization and the quality of students' literary works is still limited. This study aims to examine the relationship between AI utilization and the poetry writing skills of grade XI students at Karya Budi Putussibau Senior High School. The method used was a quantitative correlational method with a sample of N = 27 students selected through a random sampling technique. Data were collected using an AI utilization questionnaire (30 valid and reliable statements, (α= 0.975) and a poetry writing test assessed with an analytical rubric. The results of descriptive statistical analysis showed that the level of AI utilization was in the high category (M =    3.70) and students' poetry writing skills were in the good category (M =  78.41). The Pearson Product Moment correlation test showed a very strong and significant positive relationship between the two variables (r = 0.978; p < 0.01). These findings confirm that proper AI integration acts as a creative catalyst that helps students explore diction and imagery structure in the poetry writing process.

This study aims to analyze the effect of homework load and extended study hours on students’ learning stress levels. The background of this research is based on increasing academic demands that may affect students’ psychological conditions. This study employs a qualitative approach with data collected through observation and interviews. The results indicate that excessive homework load and prolonged study duration significantly contribute to higher levels of learning stress. Students tend to experience physical and mental fatigue, decreased motivation, and difficulty managing time between study and rest. In addition, pressure to achieve high academic performance further exacerbates stress levels. Other factors such as lack of environmental support and less varied teaching methods also influence students’ stress. Furthermore, students often report feelings of anxiety and emotional exhaustion when academic tasks accumulate without adequate rest periods. This condition not only affects their psychological well-being but also reduces concentration and learning effectiveness in the classroom. Therefore, balanced learning load management, appropriate task distribution, and more effective and humanistic teaching strategies are needed to reduce learning stress and improve the quality of education. Schools and educators are encouraged to consider students’ cognitive capacity and mental health in designing assignments and study schedules to create a more supportive learning environment.

This research aims to develop audio-visual learning media based on the Discovery Learning model to improve the ability to write news texts in grade XI students of SMK Mutiara Qolbu Cianjur. The Research and Development (R&D) method is used by referring to the development model which includes the stages of identification of potentials and problems, data collection, product development, product validation, limited scale trials, product revisions, large-scale trials, final revisions, and final products. The research subjects consisted of 103 students in grade XI of SMK Mutiara Qolbu Cianjur which were divided into three classes. Data collection techniques were carried out through observation, interviews, questionnaires, expert validation, and news text writing tests. Data were analyzed using quantitative and qualitative descriptive techniques. The results of the study show that audio-visual learning media based on the Discovery Learning model obtained a very good feasibility level based on the results of the validation of material experts with a percentage of 91% and the validation of media experts of 89%. The results of the trial showed that the learning media received a positive response from students with an average percentage of 87.25%. In addition, the use of Discovery Learning-based audio-visual learning media has proven to be effective in improving students' ability to write news texts. This is shown by the increase in the average score of students from 64.21 in the pre-test to 84.37 in the post-test. The use of audio-visual media also improves students' learning activities, such as active questioning, discussion participation, and the ability to identify news elements.

The rapid advancement of digital technology has significantly influenced various aspects of children's and adolescents' lives, particularly emotional development and social interaction. Excessive and uncontrolled use of digital media may negatively affect emotional regulation, communication skills, and interpersonal relationships. Therefore, educational institutions play an important role in helping students develop positive character and social behavior. Islamic Religious Education (IRE) is expected to contribute to character formation by instilling moral values, strengthening self-control, and encouraging healthy social interactions. This study aimed to analyze the effectiveness of Islamic Religious Education learning on the emotional development and social interaction of late childhood students in the digitalization era. A quantitative study with a cross-sectional design was conducted among 40 students at MIS As-Syafi'iyah 10 Bogor in 2026. Data were collected using structured questionnaires and analyzed using the Chi-square test. The findings revealed that 32 respondents (80%) demonstrated a good level of Islamic Religious Education learning. In addition, 23 respondents (57.5%) showed good emotional development, while 28 respondents (70%) demonstrated good social interaction. Statistical analysis showed a p-value of 0.001 (<0.05), indicating a significant effectiveness of Islamic Religious Education learning on students' emotional development and social interaction. These findings suggest that Islamic Religious Education contributes positively to fostering emotional maturity and improving social relationships among students in the digital era.

This community service activity aims to improve lecturers' competence in supervising master's student thesis proposals through interactive workshops and intensive mentoring at the Adias Institute of Technology and Business, Pemalang. The activity was carried out in two online sessions via Zoom Meeting on April 11 and May 21, 2026, involving 24 participants consisting of 12 active supervisors and 12 master's students. The approach used refers to Kolb's experiential learning model, including socialization of needs, workshops on academic standards and feedback techniques, mentoring simulations, and formative evaluations based on competency rubrics. The results of the activity showed a significant increase in all indicators of mentoring competence with an average increase of 51.7 percent. All 12 lecturers successfully developed structured mentoring plans, and 24 student proposals reached the seminar-ready stage. Theoretically, these findings strengthen the relevance of the experiential learning approach in developing lecturers' academic competence. Practically, this program provides a replicable intervention model for private universities in standardizing the quality of thesis supervision at the master's level.

This study aims to analyze in-depth cognitive learning theory and its implications for improving the effectiveness of Islamic Religious Education (PAI) teaching at the elementary school level. The adopted methodological approach is qualitative through library research, with the application of content analysis and theoretical synthesis techniques. Primary data sources were obtained from academic literature including textbooks, scientific journals, and the latest empirical research relevant within the last decade. The results of the analysis indicate that cognitive learning theory positions cognitive processes as the core of learning activities, allowing students to function as active agents in constructing knowledge through understanding, analysis, memory representation, and integration with pre-existing cognitive schemas. In the context of PAI, this approach enables meaningful learning through interactive pedagogical strategies such as collaborative discussions, problem-solving, case studies, and metacognitive reflection, which are empirically adapted to the stages of students' cognitive development. The implementation of cognitive theory significantly contributes to strengthening conceptual understanding, increasing learning engagement, developing critical thinking skills, transferring knowledge, and internalizing Islamic values. Thus, cognitive learning theory makes a substantial contribution to optimizing the effectiveness of PAI teaching in elementary schools through an interactive, systematic, and understanding-oriented approach.

This research aims to analyze and compare traditional Islamic education systems in Indonesia, Malaysia, and Thailand, focusing on institutional aspects, education systems, learning methods, and curricula. Using a literature study method with a descriptive qualitative approach, this research examines various relevant literature regarding the dynamics of Islamic education in Southeast Asia. The results show that the three countries share fundamental similarities in educational forms, such as pesantren or pondok, which focus on Islamic sciences and moral cultivation. However, significant differences exist in management patterns and the level of integration with government policies. Indonesia maintains a variety of salaf and modern pesantren, Malaysia exhibits a more structured system integrated with the state, while Thailand specifically in the Patani region tends to be adaptive in response to its Muslim minority status. This comparison concludes that the development of traditional Islamic education systems in each country is heavily influenced by the respective social and political contexts.

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 aims to develop and evaluate the feasibility of Teknoran, a website-based digital learning medium developed through the Canva application for the Office Technology subject in Grade X at SMKN 31 Jakarta. The study was motivated by learning activities that were still dominated by lecture methods and limited learning media. Teknoran was designed to facilitate learning through integrated features such as learning materials, assignments, and educational games within a single platform. This research employed the Research and Development (R&D) method using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. Data were collected through observation, needs analysis questionnaires, validation sheets from material and media experts, and student response questionnaires during one-to-one and small group trials. Data were analyzed using descriptive quantitative and qualitative techniques. The results showed that the Teknoran website achieved a feasibility score of 95% from material experts and 93.33% from media experts, both categorized as “Very Feasible.” Student responses also indicated a very high level of acceptance, with an average score of 95.68%. These findings demonstrate that Teknoran is highly feasible as a digital learning medium and can support more interactive, flexible, and independent learning in Office Technology subjects at SMKN 31 Jakarta.

 This community service activity aimed to improve students’ Islamic banking literacy through an experiential learning approach based on a fiqh muamalah workshop at Latansa Darussalam Islamic Boarding School, Palembang. The activity involved 100 participants consisting of students and teachers as an effort to strengthen understanding of Islamic economic and banking principles. The methods used in the activity included lectures, discussions, question-and-answer sessions, and simulations of sharia transaction practices, enabling participants not only to gain theoretical understanding but also practical experience in implementing sharia concepts. The evaluation was conducted using pre-test and post-test instruments in the form of multiple-choice questions and Likert scales to measure participants’ level of understanding before and after the activity. The evaluation results showed an increase in the participants’ average score from 55 to 82, with a gain score of 0.6, which falls into the moderate to high category. These findings indicate that an experience-based learning approach is effective in improving conceptual and practical understanding related to Islamic economics and is recommended for broader implementation in Islamic educational institutions.

Abstract: Detecting chili leaf diseases remains challenging due to the non-uniform manifestation of symptoms, local discoloration, small lesion regions, and visual similarity between disease patterns and natural leaf background variations. Although YOLO-based detectors provide favorable computational efficiency, lightweight variants often struggle to distinguish subtle lesion characteristics, while conventional attention mechanisms such as CBAM primarily rely on global feature aggregation and may overlook regional activation variability. To address these limitations, this study proposes a YOLOv9s-based detection framework integrated with a Region-Dispersion Channel Spatial Attention (RDCSA) module. The proposed module incorporates regional dispersion statistics, namely mean, standard deviation, and range, as channel descriptors to capture inter-region feature variability before applying spatial attention refinement. Experiments were conducted on the COLD dataset containing 532 original images from five chili leaf condition categories using a split-before-augmentation protocol to ensure objective evaluation. RDCSA was integrated at the P5 feature level and evaluated through attention placement analysis, component-wise ablation, sensitivity analysis, stability assessment, and comparison with modern attention mechanisms. The proposed YOLOv9s + RDCSA model achieved an mAP@50 of 0.894, mAP@50–95 of 0.773, precision of 0.858, recall of 0.861, and an F1-score of 0.859 with only a marginal increase in model parameters. The results suggest that regional dispersion-based attention improves feature discrimination while preserving computational efficiency, particularly for disease symptoms characterized by heterogeneous spatial patterns. Nevertheless, performance remains influenced by visually ambiguous symptom categories, indicating that further validation across multiple datasets and field conditions is required. Overall, the proposed RDCSA module enhances detection capability without substantially increasing computational overhead, making it a promising attention mechanism for lightweight plant disease detection systems.

Geometry learning at the Junior High School (SMP) level frequently faces challenges due to the abstract nature of the objects, which impacts students' low spatial literacy. This issue is exacerbated by the dominance of conventional teaching methods that lack interactive digital media. This community service activity aims to enhance students' spatial literacy at SMP IT Qoshrul Muhajirin through learning assistance using ethnomathematics-based digibooks. The method employed consists of four stages: Planning, Acting, Observing, and Reflecting. Data were collected through observation, student response questionnaires, as well as pre-test and post-test instruments. The results indicate a significant improvement in students' spatial literacy by 22.70%, with the average score increasing from 43% in the initial stage to 65.70% following the assistance. Furthermore, 91.3% of students provided positive responses regarding the ease of use of the media, and 90.4% felt more motivated in learning. It can be concluded that the use of ethnomathematics-based digibooks is effective as an innovative learning solution capable of integrating digital technology with local cultural values to optimize students' spatial abilities.