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This study aims to examine the process and improvement of reading comprehension skills among slow learner students in Grade VII at SMP Negeri 2 Karangan through the use of interactive animation video media based on the Project Based Learning (PjBL) model. Employing the Classroom Action Research (CAR) method following the Kemmis and McTaggart model, the study was conducted in two cycles with six slow learner students as research subjects. The observation results indicated an improvement from 89.58% in Cycle I to 100% in Cycle II. The average reading comprehension score increased from 65 to 83, with the percentage of students achieving the minimum mastery criteria rising from 67.85% to 89.28% with a difference of 18 points increase. These findings demonstrate that interactive animation video media based on PjBL effectively enhances both student engagement and learning outcomes, particularly in understanding English texts. This success was supported by the active role of the teacher in adapting the PjBL syntax to meet the specific needs of the slow learner students.

Graphic design training is an important strategy to enhance student learning competencies, particularly for students participating in the Internship Program (PKL) at Rideatama. This study aims to provide foundational understanding and advanced skills in using the Canva application as an effective learning medium. The training was attended by PKL students from SMKN 1 Kopang with an interactive learning method and hands-on practice. The evaluation results showed significant improvement in creativity, the ability to utilize design features, and students' confidence in developing independent works. The majority of participants stated that the training material was relevant to their needs, and the instructor's delivery was easy to understand, as reflected in the average evaluation score of 86.67%. Although there were some suggestions regarding the training duration being too short, overall, the activity successfully enhanced student learning competencies. This training is expected to serve as a competency development model that is beneficial for both the education and professional sectors, providing skills that can be directly applied in the field of graphic design.

This research aims to enhance students' English technical competence by implementing Problem-Based Learning (PBL) for the English for Mechanical Engineering course at Politeknik Negeri Fakfak. However, the setting of this research is rooted in students' difficulties in understanding technical terms and applying English in engineering work environments. Implementing a participatory action research model with descriptive qualitative approaches, the research was conducted among 50 students of two classes. Data were collected through questionnaires, observations, and interviews. The findings showed that 88% of students perceived the learning material as highly relevant, 84% reported improved mastery over technical vocabulary, and 90% reported greater collaboration and problem-solving skills. Furthermore, the intervention fostered active learning behaviors, peer leadership, and a positive shift towards more favorable attitudes among students towards English as a professional tool. These findings confirm that PBL is a valuable approach to English language learning contextualization in the vocational education context, enhancing the development of both language and soft skills. The research proposes wider implementation of PBL across technical curricula to improve educational outcomes in correspondence with industry requirements.

This study aims to describe students’ mathematical critical thinking skills in terms of their learning styles based on the VARK model (Visual, Auditory, Reading/Writing, and Kinesthetic). The research employed a descriptive qualitative approach involving four seventh-grade students of SMP Negeri 9 Gresik, each representing one type of learning style. Data were collected through a learning style questionnaire, a mathematical critical thinking test based on Facione’s indicators, and in-depth interviews to strengthen the analysis. The results revealed that each learning style demonstrates distinct characteristics of critical thinking. Visual learners excelled in interpretation and self-regulation, auditory learners performed well in evaluation and verbal explanation, reading/writing learners showed strength in analysis and written reasoning, while kinesthetic learners were better in concrete activities but weaker in evaluation and inference. Overall, interpretation and analysis indicators were more dominant than evaluation and inference. These findings highlight the importance of implementing differentiated instruction aligned with students’ learning styles to foster optimal and comprehensive development of mathematical critical thinking skills.

This study aims to determine the contribution of the variables of Self-Motivation, Learning Discipline, and Parental Support both partially and simultaneously to student learning achievement in the Automotive Engineering expertise program at SMK Negeri 2 Pengasih. This type of research is included in quantitative correlational research with multiple regression analysis techniques. The entire population was sampled with a total of 104 grade XII students. Data collection used a closed questionnaire and student final exam results documents. The research instrument that has passed the validity and reliability test, then continued with the classical assumption test to ensure that the regression model meets the eligibility requirements. The results showed that the three independent variables contributed significantly to student automotive learning achievement with a value of F = 26.718. Simultaneously with a significance value of 0.000 (p <0.001) and an Adjusted R Square value of 0.428 which means the model is able to explain 42.8% of the variation in learning achievement. Partially, the Self-Motivation variable significantly (p<0.05) provides the largest contribution to student learning achievement with a t-value of 2.120 followed by Learning Discipline with a t-value of 1.992 and Parental Support with a t-value of 2.021. The magnitude of the real contribution of each variable, namely: Self-Motivation of 12.15%, Learning Discipline of 10.49%, and Parental Support of 10.24%. These results emphasize the importance of strengthening students' intrinsic motivation, habituating learning discipline, and active parental involvement to improve learning outcomes in vocational education.

Digital transformation has opened vast opportunities for the younger generation to engage in technology-based entrepreneurship. However, the low level of literacy regarding Sharia-based business among university students remains a major challenge in building a competitive halal startup ecosystem. This community engagement program aims to equip students with both conceptual understanding and practical skills in developing digital businesses aligned with Sharia principles. The program was implemented on May 10, 2025, involving 60 students from UNISKA, UMB, and Poliban. The method employed an educational-dialogical approach based on experiential learning, encompassing interactive seminars, technical workshops, and reflective evaluations. The training materials included the Sharia Business Model Canvas, halal design thinking, Islamic ethical digital marketing, as well as halal legality and certification. The program’s effectiveness was measured through pretest and posttest instruments, which showed a significant improvement in the average score from 58.3 to 82.7. These findings indicate that the program was effective in enhancing students’ understanding and readiness to become halalpreneurs. Furthermore, the experience fostered a transformation in students’ mindsets toward perceiving business as a means of worship and social contribution. The program is recommended to be replicated on a larger scale with cross-sectoral collaboration and support.

This study examines the revitalization of the Qur’anic Education Center (TPA) in Mekar Jaya Village, which had ceased operating due to the loss of its main teacher and limited volunteer support. Using a Participatory Action Research (PAR) approach, the program engaged community members, volunteers, religious leaders, and parents in collaborative efforts to restore regular Qur’an learning activities and strengthen the TPA’s function as a vital center of Islamic education. The intervention led to increased student participation, including the return of former learners and the enrollment of new participants, as well as improved learning motivation through active engagement and parental support. This collaborative revitalization not only revived essential Islamic learning for children but also fostered sustained community involvement, highlighting the critical role of volunteers and local leadership in sustaining nonformal religious education. The model developed through this initiative provides practical implications for other rural communities seeking to maintain and strengthen Islamic educational institutions.

This study examines the application of the Project-Based Learning (PjBL) model in Natural and Social Sciences education to enhance environmental awareness among fifth-grade students at SDIT Wihdatul Ummah in Makassar City. The background of this research stems from the low environmental awareness observed among students, evidenced by behaviors such as littering, lack of concern for energy conservation, and minimal participation in school cleanliness activities. The study aimed to improve students' environmental consciousness by implementing the PjBL model, where students were tasked with creating environmental awareness posters. The research used a Classroom Action Research (CAR) method, which was carried out in two cycles, each consisting of three meetings. The stages of PjBL involved determining essential questions, project planning, scheduling, project implementation, result testing, and evaluation of experiences. Data collection was done through observations, attitude questionnaires, and documentation of student activities. The findings showed that the PjBL model successfully increased students' active participation, creativity in expressing environmental awareness through posters, and their practical actions toward environmental protection. The environmental awareness indicators, such as maintaining cleanliness, managing waste, conserving energy, understanding waste disposal systems, and using cleaning tools, significantly improved from Cycle I to Cycle II. The results indicate that the PjBL model is effective in enhancing environmental awareness while making the learning process more engaging and contextual for elementary school students.

Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disorder that presents significant diagnostic challenges due to its heterogeneous clinical manifestations and symptom overlap with other neurological conditions. Early and accurate diagnosis is critical for initiating timely interventions and improving patient outcomes. Traditional diagnostic approaches rely heavily on clinical expertise and manual interpretation of neuroimaging data, such as structural MRI, Diffusion Tensor Imaging (DTI), and functional MRI (fMRI), which are inherently time-consuming and prone to interobserver variability. Recent advances in Artificial Intelligence (AI) and Deep Learning (DL) have demonstrated potential for automating neuroimaging analysis, yet existing models often suffer from limited generalizability across modalities and datasets. To address these limitations, we propose a Transformer-augmented deep learning ensemble framework for automated ALS diagnosis using multi-modal neuroimaging data. The proposed architecture integrates Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Vision Transformers (ViTs) to leverage the complementary strengths of spatial, temporal, and global contextual feature representations. An adaptive weighting-based fusion mechanism dynamically integrates modality-specific outputs, enhancing the robustness and reliability of the final diagnosis. Comprehensive preprocessing steps, including intensity normalization, motion correction, and modality-specific data augmentation, are employed to ensure cross-modality consistency. Evaluation using 5-fold cross-validation on a curated multi-modal ALS neuroimaging dataset demon-strates the superior performance of the proposed model, achieving a mean classification accuracy of 94.5% ± 0.7%, precision of 93.9% ± 0.8%, recall of 92.9% ± 0.9%, F1-score of 93.4% ± 0.7%, spec-ificity of 97.4% ± 0.6%, and AUC-ROC of 0.968 ± 0.004. These results significantly outperform baseline CNN models and highlight the potential of transformer-augmented ensembles in complex neurodiagnostic applications. This framework offers a promising tool for clinicians, supporting early and precise ALS detection and enabling more personalized and effective patient management strategies.

This community service activity aims to increase educational technology literacy among Vocational High School (SMK) teachers by introducing the basic concept of Deep Learning and its application in the world of education. This training was motivated by the urgent need to equip educators with basic understanding and skills regarding artificial intelligence (AI), especially Deep Learning, to be able to keep up with rapid technological developments and relevant to vocational education. Through practice-based training using simple tools such as Teachable Machine, teachers are given hands-on experience in creating simple machine learning models that are applicable in the school environment. The results of the pre-test and post-test showed a significant increase in understanding in the participants. The group discussions also produced various ideas for the application of AI such as a face-based attendance system, student voice recognition, and recommendations for learning materials according to students' interests. Despite challenges such as limited infrastructure and teacher learning time, this activity proves that a practical and contextual training approach can increase teachers' motivation to integrate technology into learning. Similar training is highly recommended to be replicated in other schools to support equitable access to modern educational technology.

English literacy at early childhood is a crucial foundation for language development, cognitive growth, and academic readiness. TK Desa Bagi 01, despite its high academic achievements, faces several challenges in teaching English, including a busy daily schedule, limited learning time, and restricted access to interactive learning media. This community service program was designed to address these challenges by introducing English literacy to young learners in a creative and engaging manner while simultaneously enhancing teachers’ skills in employing interactive and contextually relevant teaching media. The program employed several methods: observation of current teaching practices, planning and development of creative learning media such as flashcards, posters, storybooks, and puppets, implementation of learning activities through play-based approaches, and evaluation of student and teacher outcomes. The results indicate a significant increase in student enthusiasm, active participation, and comprehension of basic English vocabulary. Teachers also demonstrated improved creativity and confidence in using various teaching media to support literacy learning. This program shows that English literacy can be effectively fostered in early childhood using simple, locally relevant, and sustainable media. Furthermore, it highlights the importance of teacher development in enhancing the quality of English learning in rural school contexts. Overall, the initiative provides a practical model for integrating interactive English literacy education in early childhood settings with long-term potential for rural education improvement.

Conflict is an inevitable phenomenon in organizational dynamics, whether in the education sector, social sector, or wider society. Conflicts that are not managed properly can lead to disintegration, but if handled appropriately, they can become a means of learning and innovation. This literature review aims to identify sources of conflict, resolution strategies used, and their impact on organizational performance. The research questions asked are: (1) What are the main factors causing conflict in educational and social organizations? (2) What are the most effective conflict resolution strategies according to the context? This research method uses a literature review approach by searching articles through Google Scholar and Publish or Perish (PoP) using the keywords “sources AND levels of conflict.” A total of 20 articles were selected from the period 2021–2025, with a final result of five valid articles that were analyzed thematically. The review results show three main themes: (1) sources of conflict include differences in vision, interests, and resource distribution; (2) conflict resolution strategies vary, ranging from mediation, negotiation, to religious and cultural-based approaches; (3) the impact of conflict is ambivalent, it can decrease performance but also encourage positive change.The conclusion of this study emphasizes the importance of contextual conflict management and opens up opportunities for further research to develop more adaptive resolution models based on local values.

Chronic diseases such as chronic kidney disease (CKD), diabetes, and heart disease remain major causes of mortality worldwide, highlighting the need for accurate and interpretable diagnostic models. However, conventional machine learning methods often face challenges of limited generalization, feature redundancy, and class imbalance in medical datasets. This study proposes an integrated classification framework that unifies three complementary feature paradigms: classical tabular attributes, deep latent features extracted through an unsupervised Long Short-Term Memory (LSTM) encoder, and quantum-inspired features derived from a five-qubit circuit implemented in PennyLane. These heterogeneous features are fused using a feature-wise attention mechanism combined with an AdaBoost classifier to dynamically weight feature contributions and enhance decision boundaries. Experiments were conducted on three benchmark medical datasets—CKD, early-stage diabetes, and heart disease—under both balanced and imbalanced configurations using stratified five-fold cross-validation. All preprocessing and feature extraction steps were carefully isolated within each fold to ensure fair evaluation. The proposed hybrid model consistently outperformed conventional and ensemble baselines, achieving peak accuracies of 99.75% (CKD), 96.73% (diabetes), and 91.40% (heart disease) with corresponding ROC AUCs up to 1.00. Ablation analyses confirmed that attention-based fusion substantially improved both accuracy and recall, particularly under imbalanced conditions, while SMOTE contributed minimally once feature-level optimization was applied. Overall, the attention-guided AdaBoost framework provides a robust and interpretable approach for clinical risk prediction, demonstrating that integrating diverse quantum, deep, and classical representations can significantly enhance feature discriminability and model reliability in structured medical data.

JakLingko is a digital-based public transportation integration system developed to facilitate access to various transportation modes in Jakarta. Along with the increasing number of users, reviews on the JakLingko application reflect user experiences and perceptions. This study aims to analyze the sentiment of user reviews on the Google Play Store using the Naïve Bayes method. Data collection was conducted through web scraping, resulting in 3,260 reviews. The data were preprocessed, sentiment-labeled, and classified using Orange Data Mining. The research applied a quantitative experimental approach with a machine learning framework. The classification results showed that neutral sentiment dominated user reviews, followed by negative and positive sentiments. The Naïve Bayes model achieved 100% accuracy based on the confusion matrix and other evaluation metrics such as precision, recall, and F1-score. The findings highlight that Naïve Bayes can be a reliable approach for analyzing public opinion and serve as a reference for evaluating and improving digital service applications.

This research is motivated by the low cognitive abilities of students in science learning in elementary schools, which is largely caused by conventional teaching methods that do not actively involve students. To overcome this problem, the Team Assisted Individually (TAI) learning model is used, which combines a cooperative approach and individual learning to improve the understanding of science concepts more effectively. The purpose of this study is to determine the effect of the TAI model on the cognitive abilities of fifth-grade students of SD Islam Baitul Salam Ciledug on natural phenomena material. This study uses a quantitative approach with a quasi-experimental design and a pretest-posttest control group design technique. The sample consists of two classes, namely the experimental class that uses the TAI model and the control class that uses conventional learning methods. The results of the study show that there is a significant increase in the cognitive learning outcomes of students who participate in learning with the TAI model compared to the conventional method. Therefore, this study is expected to provide an alternative effective learning model for teachers, as well as improve the quality of the process and student learning outcomes, especially in science learning.  

This study aims to develop an interactive learning medium on the Gimkit platform with the topic of modal verbs at the A1 level. The research method applies a qualitative approach using the model of Richey & Klein (2017), which consists of three stages: (1) planning, (2) development, and (3) evaluation. The data source of this study is the book Grammatik aktiv A1–B1 by Friederike Jin and Ute Voß (2014), Chapter 5, pages 16–18, focusing on the topics: (1) conjugation of modal verbs in the present tense, (2) conjugation of modal verbs in the past tense, and (3) comparison of modal verbs in the present and past tenses. The learning medium was validated by a material expert with a score of 95 and by a media expert with a score of 90; both results fall into the category “very good.” Based on these results, the Gimkit learning medium on the topic of modal verbs is considered suitable and effective for teaching German at the A1 level in senior high schools, both for independent learning and for classroom instruction.

This study aims to analyze the role of Kajian Kalam at Gedung Dakwah Kalasan, Sleman, as a community-based Qur’anic literacy practice. The study is motivated by the phenomenon that, although many people in Indonesia are proficient in reading the Qur’an, their understanding of its meaning remains limited. Kajian Kalam addresses this gap through a contextual and participatory tafsir approach, actively involving participants in discussion and reflection. This research employs a qualitative case study method, using direct observation, interviews with the study leader, and documentation of the study activities as data sources. The findings indicate that Kajian Kalam enhances Qur’anic literacy on three levels: textual literacy, meaning literacy, and practical literacy. The study provides participants with opportunities to understand Qur’anic verses contextually and relate them to daily life, while also building an inclusive and egalitarian learning community. The contributions of Kajian Kalam include broadening access to Qur’anic interpretation for participants with diverse backgrounds, implementing participatory learning models, and developing grounded and practical Qur’anic literacy. This research demonstrates that community-based Qur’anic studies can be an effective means to improve understanding and practice of the Qur’an, filling a gap in previous studies that focused primarily on formal institutions. The findings are expected to inform the development of more participatory and practical Qur’anic study models in society.

This study aims to determine the differences in problem-solving and critical thinking skills between students taught using the Reciprocal Teaching and Problem-Based Learning models in class X of SMK Ki Hajar Dewantara Kotapinang for the 2021-2022 academic year. This is a quantitative study using a quasi-experimental design. The population consists of all class X students at SMK Ki Hajar Dewantara Kotapinang in the 2021-2022 academic year, totaling 111 students. The sample used was class X AKUNTANSI 1 and X AKUNTANSI 2, each consisting of 20 students, chosen as experimental classes using Cluster Random Sampling. Data were collected from pre-tests and post-tests with problem-solving and critical thinking skill test items, then analyzed descriptively and followed by Two-Way ANOVA. The findings indicate: 1) There is no difference in problem-solving ability between students taught using the Reciprocal Teaching model and the Problem-Based Learning model in class X of SMK Ki Hajar Dewantara Kotapinang, with F_observed = 0.320 < F_table(α= 0.05) = 3.978; 2) There is a difference in critical thinking skills between students taught using the Reciprocal Teaching model and the Problem-Based Learning model in class X of SMK Ki Hajar Dewantara Kotapinang, with F_observed = 5.128 > F_table(α= 0.05) = 3.978; 3) There is a difference in both problem-solving and critical thinking skills between students taught using the Reciprocal Teaching model and the Problem-Based Learning model in class X of SMK Ki Hajar Dewantara Kotapinang, with F_observed = 0.026 > F_table(α= 0.05) = 3.936; 4) There is no interaction between the Reciprocal Teaching and Problem-Based Learning models in class X of SMK Ki Hajar Dewantara Kotapinang, with F_observed = 0.459 < F_table(α= 0.05) = 3.936.

The post-truth phenomenon has posed significant challenges to education, particularly Islamic education, in shaping a young generation that is both critical and religious. Generation Alpha, born and raised in a digital ecosystem, faces an overwhelming flow of information, disinformation, and opinion manipulation that often blurs the line between fact and falsehood. This study aims to analyze how Islamic education can respond to the post-truth crisis by fostering a critical-religious character among Generation Alpha. This research employs a qualitative library-based method, utilizing content analysis that integrates classical Islamic sources on epistemology such as al-haqq and tabayyun with contemporary findings on digital literacy and the psychosocial development of Generation Alpha. The findings indicate that Islamic education should focus on strengthening Islamic digital literacy, promoting dialogical learning that cultivates critical thinking, and integrating strong spiritual values. Curriculum transformation, the role of teachers as epistemic role models, and the support of families and communities are essential in creating an educational ecosystem capable of countering post-truth influences. Thus, Islamic education serves as both a moral and intellectual safeguard, protecting Generation Alpha from the crisis of truth while preparing them to be critical, adaptive, and religious Muslims in the digital age.

This study aims to determine the improvement and category of improvement in students' understanding of the concept of buffer solutions by applying the Search, Solve, Create, and Share learning model. The form of this study is an experimental research with a Randomized Control Group Pretest-Posttest design. The population of this study is all students of class XI MIPA SMAN 7 Pekanbaru for the 2024/2025 school year. The research sample was students in class XI MIPA 1 as an experimental class and students in class XI MIPA 2 as a control class. The experimental class was given the treatment of the application of the SSCS learning model, while the control class was given learning without the SSCS model. The results of the data hypothesis test analysis technique used the right-hand t-test. Based on the analysis of research data, it was obtained that the tcount of 2.07 was greater than the ttable of 1.67 (dk = 67, α = 0.05) with the category of increasing students' understanding of concepts of 0.74 in the high category. The results of the study show that the Search, Solve, Create, and Share (SSCS) learning model can improve students' understanding of the concept of buffer solutions in class XI MIPA SMAN 7 Pekanbaru.