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This study aims to examine the role of teachers in developing emotional intelligence among adolescent students at SMP Kesatrian Surakarta. Emotional intelligence is an essential aspect that supports academic achievement, social relationships, and character development. This research employed a qualitative approach using a case study method. Data were collected through in-depth interviews with 15 teachers teaching grades VII to IX, participant observations in classroom settings, and analysis of relevant school documents. The findings reveal that teachers play a strategic role in fostering students’ emotional intelligence through three primary approaches: emotional modeling by demonstrating appropriate emotional management (45%), facilitating emotion-based learning activities (30%), and evaluating students’ emotional intelligence development (25%). These roles significantly contribute to improving students’ self-awareness, self-regulation, empathy, and social skills. Supporting factors include emotional intelligence training programs provided by the local education authority and the school’s commitment to creating a supportive learning environment. However, major challenges consist of high administrative workloads among teachers (70%) and limited counseling facilities (50%). This study recommends continuous teacher training, the integration of emotional intelligence modules into lesson plans, and collaboration with school psychologists to ensure long-term monitoring and development of students’ emotional competencies. The findings contribute to the enrichment of emotional intelligence literature within the context of Indonesian secondary education.

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.

This research is motivated by the low poetry writing skills of grade VIII B students at MTs Mujahidin Pontianak, evidenced by a pre-cycle average score of 64% and a classical completeness rate of only 34%. The primary issues include students' difficulties in developing imagination, word choice (diction), and the limited use of innovative learning media. This study aims to improve poetry writing skills through the implementation of the Project Based Learning (PjBL) model assisted by Canva digital media. This study employed Classroom Action Research (CAR) conducted in two cycles, comprising planning, action, observation, and reflection phases. The research subjects consisted of 23 students. The results indicated a significant improvement in each cycle. The students' average score increased to 80% in cycle I and reached 87% in cycle II. Classical completeness also rose from 65% in cycle I to 86% in cycle II. The use of Canva was proven to stimulate students' creativity and motivation in expressing ideas into aesthetic poetry. The conclusion of this study is that the integration of the PjBL model and Canva media is effective in improving the quality of both the process and the learning outcomes of poetry writing. It is suggested that teachers adopt this model as an innovative alternative for literature learning in the digital era.

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 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.

The paradigmatic transformation of Christian Religious Education (CRE) in the digital era has become a crucial issue to be examined because the development of information technology, virtual culture, and globalization has brought significant changes to adolescents’ mindsets, behaviors, and character formation. These conditions have created various moral and spiritual challenges, such as identity crises, declining ethical sensitivity, and the increasing influence of individualistic and hedonistic values among young people. This study aims to analyze the paradigm transformation of Christian Religious Education in shaping adolescent character through a theological-pedagogical perspective that is relevant to the context of the digital era. The research employs a qualitative method using a library research approach and descriptive analysis of various scientific, theological, and pedagogical sources related to Christian education, teacher spirituality, and adolescent character development in the digital age. The findings indicate that the transformation of the CRE paradigm should be directed toward contextual, participatory, and transformative learning by positioning teachers as spiritual role models and facilitators of character formation. Furthermore, the integration of Christian values, the ethical use of technology, and collaboration among schools, families, and churches are important factors in shaping adolescents who possess strong character, integrity, and spiritual maturity amid increasingly complex digital challenges.

Package C equivalency education is a strategic non-formal education policy designed to provide senior secondary education access for citizens who are not served by the formal schooling system. This study evaluates the implementation of the Package C Equivalency Education Policy at the Non-Formal Education Unit Sanggar Kegiatan Belajar in Batudaa District, Gorontalo Regency, Indonesia. The study addresses the gap between the policy objective of expanding equitable access to secondary education and the practical constraints found in local implementation. Using a qualitative evaluative case study design, the research applies the Context, Input, Process, and Product evaluation model. Data were collected through in-depth interviews, observation, and document analysis involving program managers, tutors, learners, parents, alumni, and non-formal education supervisors. The findings show that the policy is contextually relevant to learners who face economic barriers, employment demands, age constraints, and limited access to formal schooling. However, input capacity remains insufficient due to limited tutor availability, inadequate andragogical competence, insufficient learning media, and learning modules that are not yet fully contextualized. The process dimension reveals inconsistent learning schedules, lecture-dominated instruction, weak adult-learning practices, and suboptimal monitoring. Product evaluation indicates positive outcomes in graduation, academic confidence, and access to administrative requirements for work or further study, but practical skills and socio-economic impacts remain limited. The study concludes that Package C policy implementation requires stronger socialization, tutor capacity development, contextual learning resources, flexible learning management, and local policy support to generate sustainable public value.

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.

Penelitian ini bertujuan untuk menganalisis penerapan model Problem Based Learning (PBL) dalam pembelajaran Pendidikan Agama Islam di SMK N 1 Abung Selatan, Lampung Utara, serta pengaruhnya terhadap keaktifan dan hasil belajar siswa. Latar belakang penelitian ini didasarkan pada masih rendahnya partisipasi siswa dalam proses pembelajaran PAI yang cenderung berpusat pada guru. Oleh karena itu, diperlukan model pembelajaran yang mampu mendorong siswa berpikir kritis, aktif, dan mampu memecahkan masalah yang berkaitan dengan kehidupan sehari-hari. Penelitian ini menggunakan pendekatan kuantitatif dengan metode eksperimen semu (quasi experiment) melalui desain pretest-posttest control group. Subjek penelitian adalah siswa kelas XI yang dibagi menjadi kelas eksperimen dan kelas kontrol. Teknik pengumpulan data meliputi tes hasil belajar, observasi keaktifan siswa, dan dokumentasi. Data dianalisis menggunakan uji statistik untuk mengetahui perbedaan hasil belajar antara kedua kelompok. Hasil penelitian menunjukkan bahwa penerapan model PBL dalam pembelajaran Pendidikan Agama Islam memberikan pengaruh yang signifikan terhadap peningkatan hasil belajar dan keaktifan siswa. Siswa pada kelas eksperimen menunjukkan kemampuan berpikir kritis yang lebih baik serta keterlibatan yang lebih tinggi dalam proses pembelajaran dibandingkan dengan kelas kontrol. Dengan demikian, model Problem Based Learning dapat menjadi alternatif yang efektif dalam meningkatkan kualitas pembelajaran Pendidikan Agama Islam di SMK.

Misconceptions on the topic of waves are a systemic problem in high school physics learning that requires a comprehensive diagnostic instrument. Conventional diagnostic instruments up to the four-tier generation have limitations in revealing the conceptual structure behind students' thinking errors. This study aims to develop a five-tier multi-representation diagnostic instrument on the topic of waves using the 4D model (Define, Design, Develop, Disseminate). The main innovation of this instrument lies in the integration of multi-representations (verbal, pictures, graphics, mathematical) in Tier 1 and the addition of a paraphrase tier (Tier 5) that asks students to rewrite their understanding in their own words. The development process includes needs analysis, designing a grid of 16 questions, validation by two experts, and a limited trial on 34 grade XI students of SMAN 13 Kota Jambi. The results of expert validation showed an average percentage of 91.25% (Very Good) from both validators. Content validity was met with a percentage of False Positive (FP) of 6.80% and False Negative (FN) of 4.41%, both below the 10% threshold. Construct validity was confirmed through a significant Product Moment correlation (r = 0.342–0.348; sig. < 0.05) and factor analysis with six significant factors (eigenvalue > 1). The instrument's reliability was high, with a Cronbach's Alpha of 0.726. This instrument is expected to help physics teachers diagnose students' misconceptions more precisely and thoroughly on the topic of waves.

The keywords are required for computerization. Research and abstract title search made easy with these keywords. This study aims to determine the application of the entrepreneurship-based Project-Based Learning (PjBL) model to improve students' critical thinking and collaboration skills in Biology lessons at MAN 2 Tanjung Jabung Timur. This study used the Classroom Action Research (CAR) method, implemented in two cycles: Cycle I and Cycle II. Each cycle consisted of planning, implementation, observation, and reflection. Data collection techniques included observation, assessment, evaluation, reflection, and observation sheets for students' critical thinking and collaboration skills. The results showed that the implementation of the entrepreneurship-based PjBL model improved student learning outcomes, critical thinking skills, and collaboration. Assessment scores increased from 62 in Cycle I to 83 in Cycle II, representing a 33.87% increase. Evaluation scores increased from 73 to 93, representing a 27.40% increase, while reflection scores increased from 76 to 91, representing a 19.74% increase. Students' critical thinking skills also improved in the focus, reason, inference, situation, clarity, and overview indicators, which were dominated by categories 3 and 4 in Cycle II. Furthermore, students' collaborative skills improved across indicators of shared understanding, taking appropriate action, and team regulation. Based on the research results, it can be concluded that the implementation of the entrepreneurship-based Project-Based Learning (PjBL) model is effective in improving students' critical thinking and collaboration skills in Biology.

This study aims to analyze the effect of the implementation of the Flipped Classroom model with a Deep Learning approach on the critical thinking and collaboration skills of Phase F XI students on the digestive system material. The study used a mixed methods with an embedded experimental design type. The research sample consisted of one experimental class that received Flipped Classroom learning with a Deep Learning approach and one control class that received Problem Based Learning (PBL) learning. Data on critical thinking skills were collected through essay tests, while collaboration skills were obtained through observation sheets. Quantitative data analysis used One-Way MANCOVA and qualitative analysis was carried out through data reduction, data presentation, and drawing conclusions assisted by NVivo. The results showed a simultaneous significant effect between the learning model on students' critical thinking and collaboration skills after controlling for initial abilities with a significance value of 0.002 (p<0.05). The average posttest critical thinking of the experimental group was 71.69 higher than the control group at 62.53. Meanwhile, the collaboration skills of both groups showed a relatively balanced increase. The ANCOVA results showed that the Flipped Classroom model with a Deep Learning approach significantly impacted critical thinking skills, but did not show a significant difference in collaboration skills. The research findings indicate that the integration of Flipped Classroom and Deep Learning is effective in improving students' critical thinking skills and supporting 21st-century learning.

This study investigates the development of Indonesian language literacy among third-grade elementary school students. The primary problems identified were acute classroom passivity and low reading comprehension, evidenced by an initial learning mastery of only 45.16%, which were largely driven by conventional teacher-centered pedagogy. The objective of this research is to enhance early-grade reading literacy and active participation through an innovative instructional intervention. The proposed method employed a two-cycle Classroom Action Research (CAR) design at SDN Jrebeng Kulon 1, integrating the Problem-Based Learning (PBL) model assisted by serial picture media. This approach utilizes chronological visual scaffolding to facilitate narrative comprehension for students in the concrete operational stage. The results demonstrated a highly significant academic progression: classical learning mastery increased to 70.97% (mean score: 80.80) in Cycle I and culminated in an absolute 100% mastery rate (mean score: 94.51) by the end of Cycle II. The synthesis of these findings reveals that transitioning from static visual aids to serial visual stimuli within a problem-oriented framework effectively mitigates cognitive dissonance and eradicates classroom passivity. In conclusion, the integration of the PBL model with serial picture media serves as a comprehensive pedagogical solution that not only maximizes cognitive reading comprehension but also reconstructs students' verbal articulation and social-collaborative skills, offering a highly scalable strategy for early primary education.

This study aims to determine the leadership competency of Catholic religious education teachers in creating a conducive learning environment at SMP Negeri 4 Nubatukan. This research used a qualitative approach with a case study approach. Data collection was conducted through observation, interviews, and documentation involving Catholic religious education teachers, students, and school officials. The results indicate that Catholic religious education teachers have demonstrated leadership competency through their ability to manage the classroom, provide good role models, build positive relationships with students, and provide motivation during the learning process. Teachers also strive to create a safe, comfortable, and orderly learning environment to encourage students to be more active in learning. Furthermore, several supporting factors exist, such as collaboration between teachers and the school, parental support, and the application of religious values ​​in the school environment. However, this study also identified several obstacles, such as limited learning facilities, lack of student participation, and limited learning time. Based on the results, it can be concluded that the leadership competency of Catholic religious education teachers plays a crucial role in creating a conducive learning environment and supporting student development, both academically and spiritually.

This research is motivated by the low critical thinking skills of third-grade students in learning Pancasila symbols and the limited use of interesting, interactive learning media in the classroom. The purpose of this study is to develop the Magic Letter Spinwheel learning media, determine its feasibility, and examine the improvement of students’ critical thinking skills after using the media. This study employed a Research and Development (R&D) method with the ADDIE development model, consisting of Analysis, Design, Development, Implementation, and Evaluation stages. The research subjects were third-grade students of SDN Sumber 02, Blitar Regency. Data were collected through observation, interviews, validation questionnaires from media and material experts, as well as pretests and posttests. The data were analyzed descriptively using qualitative and quantitative approaches, including feasibility percentages and the N-Gain test. The development results show that the Magic Letter Spinwheel is an interactive learning medium in the form of a spinning wheel containing Pancasila symbols, questions, and learning activities that encourage students to think critically. This medium is designed with an attractive display and is supported by light features and an automatic rotation button to increase students’ learning interest. Based on expert validation, the media is declared feasible for classroom use. The implementation of the Magic Letter Spinwheel can improve students’ critical thinking skills through active, enjoyable, and student-centered learning activities. Therefore, this media is suitable for use in Pancasila Education learning to support the development of critical thinking skills among third-grade elementary school students.

This study investigates the implementation of the Gradient Boosting Machine (GBM) algorithm for network intrusion detection using the CICIDS2017 dataset within the CRISP-DM framework. The process encompasses Business Understanding, Data Understanding, and Data Preparation including data cleaning, categorical feature encoding, normalization, and data split (80 % training, 20 % testing). In the Modeling phase, GBM Hyperparameters (learning_rate = 0.1; max_depth = 5; n_estimators = 150) were optimized via Grid Search with 2-fold Cross Validation, and F1-Score  was selected as the primary metric due to class imbalance. Evaluation on the test set yielded accuracy of 99.99 %, precision of 100 %, Recall of 99.98 %, and F1-Score  of 99.99 %, demonstrating exceptional detection capability with minimal false negatives and false positives. Compared to previous studies, this GBM model outperforms in accuracy and stability without overfitting. These findings confirm GBM’s effectiveness for modern Intrusion Detection Systems and its suitability for Deployment in resource-constrained operational environments.

Malware represents an evolving cybersecurity threat that demands more effective detection methods. Conventional signature-based detection systems have limitations in identifying new variants, driving the development of deep learning-based approaches. This research implements and evaluates four variants of the YOLOv11 algorithm (n, s, m, l) for malware classification based on visual image representation. The dataset consists of 22,056 malware and benign images, divided into 70% training, 15% validation, and 15% testing across 8 classes (adware, backdoor, benign, downloader, spyware, trojan, virus, worm). Each model was trained for 100 epochs with batch size 32 using Google Colab with GPU support. Results demonstrate that all variants achieve high accuracy (97.8%-98.1%) with YOLOv11m as the best performer (98.1%). YOLOv11n offers optimal balance between accuracy (97.9%) and efficiency (1.5M parameters, 0.3 ms/img inference) ideal for real-time applications. This research surpasses previous methods such as K-NN (97.18%) and hybrid CNN (96.55%) with superior inference speed (0.3-0.9 ms/img vs tens to hundreds of ms/img), proving the effectiveness of YOLOv11 for fast, accurate, and scalable malware detection.

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

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

This study analyzes the integration of aesthetics and ethics in cosmetology education and its implications for strengthening the professionalism of cosmetology teachers. Cosmetology is often viewed as an applied field that primarily produces visual beauty through make-up, skin care, hair care, and cosmetic services. However, professional cosmetology practice also involves moral responsibility because it deals directly with the human body, personal identity, safety, comfort, and client trust. This article uses a normative qualitative method with conceptual and philosophical approaches through library research. The analysis is organized through three dimensions of philosophy of science: ontology, epistemology, and axiology. The findings show that, ontologically, cosmetology studies beauty and the human body not merely as physical objects, but as subjects with value, dignity, and diverse meanings. Epistemologically, cosmetology knowledge is constructed through the integration of scientific theory, practical skills, professional experience, sanitation principles, occupational safety, and service standards. Axiologically, cosmetology contains ethical values that guide beauty practices so that they remain honest, safe, responsible, and respectful of human dignity. The integration of aesthetics and ethics strengthens the role of cosmetology teachers as educators, professional models, and character builders in vocational education. Therefore, cosmetology learning should not only emphasize technical competence and visual results, but also internalize ethical awareness, reflective judgment, and responsibility in every stage of professional practice.