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Randai traditional art is one of the cultural heritages of Minangkabau that holds significant aesthetic, educational, and social values; however, its existence is increasingly threatened due to globalization and the declining interest of the younger generation. The lack of attention and limited preservation efforts are the main factors contributing to the decline of this traditional art. Therefore, concrete efforts are needed to preserve randai as part of local cultural identity. This article aims to examine the preservation of randai as an effort to strengthen cultural identity through the Community Service Program (KKN) using a participatory approach involving students and the community in activities such as socialization, training, and performances. The results indicate that these activities can increase public awareness of the importance of local culture and revive the interest of the younger generation in learning and preserving randai. Furthermore, the program also strengthens social cohesion and cultural identity within the community. In conclusion, the preservation of randai not only serves to maintain cultural heritage but also acts as a means of strengthening local cultural identity in the midst of modernization.

The Early Childhood Education (PAUD) curriculum plays an important role in shaping young children’s learning experiences. However, in practice, there are still several challenges, such as a lack of meaningful learning and the suboptimal integration of nationalism values. Therefore, curriculum innovation is needed to incorporate approaches that align with children’s characteristics.This study aims to analyze and develop the concept of transforming the PAUD curriculum based on a multisensory music approach as an effort to strengthen nationalism values in early childhood. The method used is a library research approach by reviewing various sources, including scientific journals, books, and relevant previous studies. The data analysis technique is conducted descriptively and qualitatively through processes of organizing, categorizing, and interpreting data.The results of the study indicate that a multisensory music-based approach can enhance children’s engagement, participation, and understanding in learning. The integration of audio, visual, and kinesthetic elements has proven effective in stimulating children’s motor, cognitive, and affective development. In addition, the use of audio-visual media helps children understand nationalism values in a more concrete and meaningful way.In conclusion, transforming the PAUD curriculum through a multisensory music-based approach is an effective strategy to create enjoyable and holistic learning experiences while strengthening the internalization of nationalism values from an early age.

Teacher professionalism is a key factor in improving the quality of education, especially in the context of rapid changes that demand continuous competency development. Therefore, sustainable professional development for teachers has become an essential need. This article aims to examine strategies for developing teacher professionalism through reflection and the implementation of best practices in learning. The method used is a literature study with a descriptive qualitative approach, by analyzing various sources such as scientific journals, books, and relevant articles. The results show that reflection plays an important role as a means of self-evaluation that helps teachers continuously improve the quality of learning, while best practices provide concrete examples of effective and innovative teaching practices. Reflection enables teachers to identify strengths and weaknesses in their instructional processes, thereby encouraging continuous improvement and adaptive teaching strategies. Meanwhile, best practices serve as a reference for implementing evidence-based and student-centered learning approaches that can enhance classroom engagement and learning outcomes. The integration of reflection and best practices is proven to strengthen teachers' competencies holistically by combining critical self-assessment with proven pedagogical strategies. This synergy also supports collaborative learning among educators and encourages the sharing of effective teaching experiences. Thus, sustainable teacher professional development can be achieved through the consistent application of these strategies, ultimately contributing to improved educational quality and more effective learning environments in schools.

Student dropout in higher education remains a persistent socioeconomic challenge, yet many predictive models reported in the literature are methodologically compromised by randomized cross-validation schemes that introduce temporal data leakage and artificially inflate predictive performance. This study proposes a longitudinal prescriptive learning analytics framework integrating three complementary methodological components: a Leave-One-Cohort-Out (LOCO) temporal validation protocol, a hybrid SMOTE-ENN class balancing strategy, and temporal velocity feature engineering derived from Learning Management System (LMS) behavioral trajectories. The framework was evaluated on a longitudinal dataset comprising 464,739 enrollment records and 77 features. Five predictive algorithms—XGBoost, LightGBM, CatBoost, Random Forest, and Logistic Regression—were comparatively assessed on a strictly isolated blind holdout cohort (2022), with CatBoost emerging as the champion estimator, achieving a PR-AUC of 0.8859, a Macro F1-Score of 0.9143, and the lowest Brier Score (0.0221), thereby demonstrating superior calibration and discriminative capability under severe class imbalance (93:7 ratio). Comprehensive ablation analysis revealed that temporal velocity features function not merely as additive predictors, but as a structural prerequisite enabling Synthetic Minority Oversampling Technique with Edited Nearest Neighbors (SMOTE-ENN) to generate high-quality synthetic boundary instances; removing these features reduced minority-class precision from 0.8302 to 0.6721. To operationalize predictive outputs into actionable intervention pathways, Diverse Counterfactual Explanations (DiCE) were implemented under a three-tier causal constraint architecture on 96 borderline high-risk students, generating 384 feasible intervention scenarios exclusively targeting forward-looking behavioral velocity metrics without constraint violations. Collectively, these findings advance the paradigm of prescriptive learning analytics by providing educational institutions with interpretable risk diagnostics and operationally feasible intervention guidance grounded in empirically validated behavioral and temporal dynamics.

This study aims to analyze the implementation of group guidance services in developing alpha girl characteristics among senior high school (SMA) female students. The method used is a literature review by examining various relevant sources, including books and scientific journals published within the last five years. The findings indicate that group guidance plays a significant role in shaping alpha girl characteristics through social interaction, group dynamics, communication skills, and participatory learning experiences. Through the stages of formation, transition, core activities, and termination, students gradually experience improvements in self-confidence, independence, leadership ability, and the courage to express themselves in social settings. This developmental process does not occur instantly but emerges through repeated experiences supported by a conducive group environment, effective facilitation from counselors, and continuous self-reflection. In addition, peer feedback within the group contributes to strengthening personal awareness and emotional maturity. Therefore, group guidance services can serve as an effective and systematic strategy in supporting the development of alpha girl characteristics among senior high school female students.

Tanaman padi merupakan salah satu komoditas pangan utama di dunia yang memiliki peran penting dalam menjaga ketahanan pangan global. Namun, produktivitas tanaman padi seringkali terganggu oleh berbagai penyakit daun yang dapat menurunkan kualitas dan hasil panen secara signifikan. Deteksi penyakit secara dini menjadi langkah penting untuk mengendalikan penyebaran penyakit tersebut. Metode konvensional yang mengandalkan pengamatan manual memiliki keterbatasan dalam hal kecepatan, akurasi, serta ketergantungan terhadap keahlian manusia. Oleh karena itu, diperlukan suatu sistem deteksi otomatis yang mampu mengidentifikasi penyakit secara cepat dan akurat. Penelitian ini bertujuan untuk mengembangkan model deteksi penyakit daun padi menggunakan metode YOLO (You Only Look Once) berbasis Deep Learning. Dataset yang digunakan diperoleh dari Kaggle yang terdiri dari citra daun padi dengan anotasi bounding box. Proses penelitian meliputi tahap pengumpulan data, preprocessing, pelatihan model, serta evaluasi performa. Model dilatih menggunakan optimizer Stochastic Gradient Descent (SGD) dengan parameter tertentu untuk memperoleh hasil yang optimal. Evaluasi kinerja model dilakukan menggunakan metrik mean Average Precision (mAP), precision, dan recall. Hasil penelitian menunjukkan bahwa model YOLO mampu mendeteksi penyakit daun padi dengan tingkat akurasi yang tinggi serta waktu deteksi yang relatif cepat. Hal ini menunjukkan bahwa metode YOLO efektif untuk diterapkan dalam sistem pertanian cerdas. Penelitian ini diharapkan dapat memberikan kontribusi dalam pengembangan teknologi deteksi penyakit tanaman berbasis kecerdasan buatan.

This study starts from the observation that Christian education is still often delivered in a one-way, top-down manner. As a result, learners are less actively engaged in understanding their faith and social lives. Paulo Freire’s ideas on critical education offer an approach that emphasizes dialogue, participation, and social change. This study aims to examine Christian educational theology through Freire’s perspective and to explore how his ideas can be applied in learning processes. A qualitative approach was used, employing library research methods—reading, note-taking, and analyzing written sources related to Freire’s thought and Christian educational theology. The findings indicate that Freire’s approach can shift education from teacher-centered to learner-centered. Learning becomes more dialogical, encouraging critical thinking and deeper understanding of reality. Christian education then focuses not only on knowledge of faith but also on character development and spiritual life. Consequently, Christian education should be developed to be more open, participatory, and dialogical through activities such as group discussions, open Q&A sessions, and faith reflection. This enables learners to grow in faith while developing stronger social awareness. Future research is recommended to study the direct application of Freire’s ideas in Christian educational institutions.

This community engagement initiative was prompted by students’ limited understanding of how to package local content into educational products with economic value, as well as the suboptimal integration of entrepreneurial values into teaching. The aim of this initiative is to foster an entrepreneurial spirit among students through edupreneurship, developed in the form of an exhibition based on local product. The method employed was the Participatory Action Research (PAR) approach, which involved students as active participants in the training, production, and marketing of local products, as well as in the organisation of the exhibition. The activity began with training on the basic concepts of edupreneurship, product packaging, and marketing strategies. The exhibition showcased various creative products such as food & beverage, eco bodycare, eco living style, and fashion accesories featuring local product motifs. This activity successfully enhanced students’ capacity for critical thinking, innovation, and productive collaboration. An entrepreneurship talk show held concurrently further strengthened students’ motivation and entrepreneurial insights. The results of the activity demonstrated that the management  exhibition effectively served as a medium for transforming local product such as food & beverage, eco bodycare, ecoliving style, fashion accesories learning into a contextual, practical, and economically valuable experience through the edupreneurship approach.

This study is motivated by the importance of understanding the visual characteristics of drawings produced by children aged 10–11 years within the context of non-formal learning. Children’s drawings not only represent objects but also reflect stages of visual development and learning experiences. This research draws upon theories of children’s artistic development and visual analysis in fine arts. The study employs a descriptive qualitative method with a visual analysis approach. The subjects consist of children aged 10–11 years who participate in private drawing lessons. Data were collected through observation, documentation of students’ artworks, and brief interviews with the instructor. The findings indicate that variations in drawing outcomes are influenced by the duration of learning, practice habits, and the teaching methods applied. Furthermore, the study reveals that children’s ability to produce simple realistic drawings is shaped by their learning experiences and instructional guidance during the learning process, resulting in diverse visual characteristics that remain within a developmental stage.

The development of artificial intelligence (AI) has driven fundamental changes in the way organizations manage work processes, make decisions, and coordinate teams in digital environments. However, an integrated understanding of how AI-based leadership affects digital team performance, particularly through the roles of transformational leadership and digital literacy, remains limited and dispersed across different streams of literature. This study aims to analyze the role of AI in supporting digital leadership, identify its influence on decision-making effectiveness and team performance, and examine the challenges and ethical implications of its implementation in organizations. The study employs a Systematic Literature Review (SLR) approach by reviewing relevant scholarly literature on AI, leadership, digital literacy, human–AI collaboration, and digital team performance. The findings indicate that AI-based leadership can enhance team management effectiveness when implemented through transformational leadership practices that foster vision, change readiness, learning, and team coordination, and when supported by adequate digital literacy. Conversely, barriers such as low trust in AI, digital competency gaps, resistance to change, and ethical issues remain major challenges. This study contributes by offering a conceptual synthesis that positions AI-based leadership, transformational leadership, and digital literacy within a single framework to explain the optimization of digital team performance in modern work environments.

Penelitian ini bertujuan mengembangkan aplikasi simulasi matematika dasar berbasis Android sebagai media pembelajaran interaktif bagi siswa sekolah dasar. Penelitian dilatarbelakangi oleh rendahnya keterlibatan siswa dan kesulitan siswa dalam memahami konsep aritmatika dasar melalui metode pembelajaran konvensional. Aplikasi dirancang dengan mengintegrasikan modul latihan, permainan edukatif dengan tingkat kesulitan bertahap, serta sistem penghargaan berbasis pencapaian untuk meningkatkan motivasi dan minat belajar siswa. Proses pengembangan menggunakan metode Waterfall yang meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan penerapan aplikasi. Pengembangan aplikasi dilakukan menggunakan Android Studio dan bahasa pemrograman Java, sedangkan SQLite digunakan sebagai media penyimpanan data lokal. Validasi fungsional dilakukan melalui Black Box Testing untuk memastikan seluruh fitur aplikasi berjalan sesuai kebutuhan sistem. Siswa sekolah dasar dilibatkan sebagai responden untuk mengevaluasi tingkat kegunaan dan kesesuaian aplikasi sebagai media pembelajaran. Hasil penelitian menunjukkan bahwa aplikasi dapat berfungsi dengan baik pada perangkat Android serta memberikan kontribusi positif dalam meningkatkan pemahaman aritmatika dan motivasi belajar siswa.

The increasing use of mobile applications in the retail industry has generated a large volume of user reviews that contain valuable insights regarding customer experience and service quality. However, the unstructured nature of these reviews requires an automated approach to extract meaningful patterns efficiently. This study aims to perform sentiment analysis on user reviews of the Indomaret Poinku application by integrating lexicon-based labeling with machine learning classification. A total of 10,000 reviews were collected from Google Play Store and processed through a series of text preprocessing steps, including cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Sentiment labeling was performed using the Indonesian Sentiment Lexicon (InSet), producing three sentiment classes: positive, negative, and neutral. The labeled data were vectorized using CountVectorizer and classified using two algorithms: K-Nearest Neighbors (KNN) and Random Forest (RF). Evaluation results show that Random Forest outperforms KNN, achieving an accuracy of 82.5%, compared to 69% for KNN. Random Forest demonstrates superior performance in handling high-dimensional sparse text features and yields more stable predictions across sentiment classes. This study contributes to the growing body of research on Indonesian sentiment analysis by demonstrating the effectiveness of combining lexicon-based labeling with ensemble learning methods, offering practical implications for developers seeking to improve the quality and user satisfaction of digital retail applications.

This research is motivated by the urgency of integrating humanistic values into literature learning for character building among students, as well as the lack of scientific studies that thoroughly examine the novel ‘3726 MDPL’ by Nurwina Sari. The purpose of this research is to identify and analyze the humanistic values contained in the novel and to describe its relevance as teaching material in high schools. The study employs a qualitative descriptive method with a case study design, where data is collected thru content analysis and documentation techniques, and then analyzed using the interactive model of Miles, Huberman, and Saldana. The research results show that there are six forms of humanistic values in the novel, namely respecting others opinions, cooperation, caring for others, helping each other, solidarity, and self-sacrifice. These values have significant pedagogical relevance as teaching materials in high school literature because the align the Indonesian Language Learning Outcomes Phase F and the Pancasila Student Profile, particularly in the dimensions of mutual cooperation and global diversity, thus making them an effective medium for fostering empathy and social sensitivity among students.

Various studies indicate that mathematics learning in schools is still dominated by teacher-centered methods that emphasize abstract concepts, resulting in limited connection to real-life contexts and low student engagement. Therefore, innovative learning approaches are needed to bridge mathematical concepts with real-world experiences while encouraging active student participation. This community service activity aims to enhance students’ conceptual understanding and creativity through the use of innovative mathematics teaching aids within a participatory approach. The method employed is descriptive-implementative, consisting of needs analysis, training implementation, and evaluation stages. Data were collected through concept understanding tests, mathematical creativity tests, observations, and interviews, and were analyzed using both quantitative and qualitative approaches. The results show an improvement in students’ conceptual understanding as well as the development of mathematical creativity, indicated by increased fluency, flexibility, and originality in problem-solving. In addition, students’ active participation in the learning process significantly improved. The use of teaching aids proved effective in creating more meaningful learning experiences through direct interaction with mathematical concepts. In conclusion, the use of mathematics teaching aids in participatory-based learning is effective in improving the quality of learning, particularly in terms of students’ conceptual understanding and creativity.

Perkembangan teknologi artificial intelligence, khususnya dalam bidang computer vision dan deep learning, telah mendorong lahirnya berbagai sistem otomatis dalam analisis citra dan video. Salah satu implementasi yang banyak digunakan adalah deteksi objek secara real-time menggunakan algoritma YOLO (You Only Look Once). Di sisi lain, penggunaan rokok elektronik atau vape semakin meningkat, terutama di lingkungan pendidikan, sehingga diperlukan sistem pengawasan otomatis yang mampu mendeteksi aktivitas tersebut secara akurat. Penelitian ini bertujuan untuk mengembangkan sistem deteksi aktivitas vape berbasis YOLOv8 pada citra dan video. Metode yang digunakan dalam penelitian ini adalah pendekatan deep learning workflow yang meliputi pengumpulan dataset, pra-pemrosesan, pelatihan model, serta evaluasi performa. Dataset yang digunakan dikembangkan secara mandiri dengan jumlah awal 1000 gambar, kemudian ditingkatkan menjadi 2000 gambar melalui proses augmentasi menggunakan Roboflow. Proses pelatihan dilakukan dengan parameter tertentu, seperti 100 epoch dan ukuran citra 640×640 piksel. Evaluasi model dilakukan menggunakan metrik precision, recall, mean Average Precision (mAP), serta kecepatan deteksi (frame per second). Hasil penelitian menunjukkan bahwa model YOLOv8 mampu mendeteksi aktivitas vape dengan performa yang cukup baik. Model mencapai nilai precision sebesar 0,91, recall sebesar 0,88, mAP@0.5 sebesar 0,92, serta mAP@0.5:0.95 sebesar 0,76. Selain itu, sistem mampu bekerja secara real-time dengan kecepatan deteksi mencapai 28 FPS. Hasil pengujian juga menunjukkan bahwa model mampu mengenali objek vape pada berbagai kondisi lingkungan, meskipun masih mengalami kendala pada objek berukuran kecil dan kondisi occlusion. Dengan demikian, penelitian ini membuktikan bahwa algoritma YOLOv8 efektif digunakan untuk mendeteksi aktivitas vape pada citra dan video, serta memiliki potensi untuk diterapkan dalam sistem pengawasan berbasis CCTV secara real-time.

Penelitian ini bertujuan untuk menganalisis dan membandingkan kinerja model YOLOv11 dan MobileNetV3 dalam mengklasifikasikan varietas padi berdasarkan gambar digital. Kumpulan data terdiri dari 10.000 gambar yang mewakili lima varietas padi, yaitu Arborio, Basmati, Ipsala, Jasmine, dan Karacadag. Kumpulan data tersebut dibagi menjadi set pelatihan dan set pengujian, dengan proses pelatihan dilakukan selama 100 epoch. Hasil evaluasi menunjukkan bahwa MobileNetV3 mencapai akurasi klasifikasi sebesar 100%, sedangkan YOLOv11 memperoleh akurasi sebesar 99,8%. Meskipun akurasinya sedikit lebih rendah, YOLOv11 menunjukkan kinerja yang stabil dengan kesalahan klasifikasi yang minimal. Analisis matriks kebingungan menunjukkan bahwa sebagian besar prediksi masuk ke dalam kelas yang benar, dengan hanya sedikit kesalahan yang terjadi pada kategori yang secara visual mirip. Temuan ini menunjukkan bahwa kedua model tersebut sangat efektif untuk tugas klasifikasi varietas padi. Namun, evaluasi lebih lanjut menggunakan dataset yang lebih kompleks diperlukan untuk memastikan ketahanan dan generalisasi model dalam skenario dunia nyata.

This study aims to explore issues faced by students and the contribution of guidance and counseling (BK) services in addressing various challenges at MTSN Cirebon. The issues studied include low levels of discipline, school withdrawal behavior, lack of learning motivation, and smoking habits among students. This study employed a qualitative, descriptive approach. Participants in the study consisted of BK teachers, students, and student organizations (OSIM and MPK) selected using a purposive sampling technique. Data were collected through in-depth interviews, observation, and documentation. Data analysis was conducted using an interactive model involving data reduction, data presentation, and conclusion drawing. Its validity was tested through triangulation of sources and techniques. The findings of this study indicate that the issues faced by students are influenced by internal and external factors, such as lack of self-awareness, low learning motivation, environmental impacts, and excessive use of social media. BK services play a vital role in addressing these issues through preventive and curative approaches, as well as collaboration between teachers, students, parents, and school organizations. In addition, consistent discipline, engaging learning methods, and monitoring of student behavior are also crucial elements in problem-solving efforts. This research confirms that resolving student issues requires a comprehensive and collaborative approach across all parties within the school environment. Guidance and counseling services play a strategic role in supporting students in overcoming challenges and developing their full potential.

The rapid development of digital technology has transformed patterns of communication, learning processes, and the ways believers access religious information in daily life. While this transformation provides easier access to information, it also fosters an instant culture characterized by fast, brief, and less reflective information consumption. This condition poses significant challenges for the Church, particularly in faith formation, as it may weaken the depth of believers’ understanding of faith. This study aims to examine the role of literate catechesis as a response to the instant culture of the digital era, while also exploring the opportunities offered by digital media in faith proclamation. This research employs a qualitative approach using a literature review method based on relevant academic sources. The findings indicate that literate catechesis plays a crucial role in fostering mature faith through reading, reflection, and critical thinking processes, enabling believers not only to consume information but also to internalize and live out their faith more deeply. On the other hand, digital media offers significant opportunities to develop catechesis that is broader, more participatory, and contextually relevant. Integrating reflective depth with creative digital approaches is essential to ensure that faith formation remains both meaningful and relevant within an increasingly instant-oriented culture.

In the field of education, cheating remains a critical issue of academic dishonesty. This phenomenon does not merely affect students' grades but also obstructs the development of core character values, including integrity, responsibility, and independence in the pursuit of knowledge. This article aims to analyze the factors influencing cheating behavior and evaluate various forms of intervention from the perspective of early detection of problematic behavior. This study employs a literature review method, examining 20 relevant scientific articles published between 2021 and 2026. The findings reveal that cheating behavior is influenced by internal factors such as self-efficacy, self-control, self-confidence, religiosity, and self-esteem as well as external factors, including peer conformity, parental pressure, the learning environment, and evaluation systems. Effective interventions include group counseling services, classical guidance, modifications to evaluation systems, and the utilization of Artificial Intelligence-based technology to detect potential academic fraud. Consequently, efforts to prevent cheating behavior require a multidimensional approach involving students, teachers, parents, and school policies to cultivate an academic culture of integrity.

The advancement of Artificial Intelligence (AI) has brought significant changes to various aspects of life, including the field of education, particularly Islamic Education. This study aims to explore various AI-based learning strategies that can be implemented to create a more effective, interactive, and contemporary learning process. The method employed in this study is a literature review by examining various scholarly sources, such as journals, books, and academic articles discussing the implementation of AI in education. The findings indicate that the integration of AI can be realized through personalized learning tailored to students’ needs, the use of chatbots as learning assistants, the analysis of students’ progress and learning outcomes, as well as the utilization of technology-based learning media. These strategies are not only capable of improving students’ cognitive aspects but can also strengthen the internalization of Islamic values when applied appropriately and systematically. Furthermore, this study emphasizes that teachers’ technological competence, infrastructure readiness, and the development of an adaptive curriculum are crucial factors in the successful implementation of AI-based learning within the context of Islamic Education.