Publication Search

This study aims to describe the process and results of the implementation of the teaching module "My Responsibility as a Child of God" in Christian Religious Education and Character Education learning in grade IV of SDN 1 Kereng Bangkirai Palangka Raya. This module was developed to instill the value of responsibility as a Christian character in students through active learning activities that include discussions, Responsible Action Challenge games, and the preparation of personal commitments. The study used a descriptive qualitative approach with 10 students as subjects. Data were obtained through observation, cognitive, affective, psychomotor assessments, and documentation during the learning process. The results showed that students were able to understand the concept of responsibility biblically through the story of Joseph in Genesis 37–50, and showed increased enthusiasm, cooperation, and courage in expressing opinions. The personal commitment products produced by students showed that most students were able to formulate concrete actions as a form of implementation of responsibility in everyday life. Obstacles found were variations in students' ability to focus and differences in the speed of students in understanding instructions, but these could be overcome through more intensive guidance and direction.  

This study conducts a Systematic Literature Review (SLR) of 20 empirical and conceptual articles published between 2020 and 2025 to examine the influence of city branding on tourism interest and consumer behavior, with a particular focus on the city of Balikpapan. The synthesis reveals that city branding significantly shapes tourist perceptions through key elements such as destination image, brand identity, brand personality, and digital communication. Destination image consistently emerges as the primary mediator linking city branding to visit intention, while experiential and emotional branding further strengthen tourists’ cognitive, affective, and behavioral responses. The findings also highlight the growing importance of digital media and e-WOM in amplifying city branding strategies, especially in the post-pandemic tourism landscape. Despite strong branding potential rooted in cleanliness, safety, and Balikpapan’s strategic role as a supporting city for the new capital (IKN), gaps remain in digital branding, differentiation, and identity storytelling. The review emphasizes the need for more integrated, innovative, and data-driven branding approaches to enhance the city’s competitiveness and attract greater tourism engagement.

Early Childhood Education (PAUD) emphasizes the principle of child-centered learning through meaningful and contextual play activities. Environment-based learning is one of the approaches that is relevant to the characteristics of early childhood because it provides a real learning experience and is close to the child's life. This study aims to describe in depth the implementation of environment-based play learning and its impact on cognitive, language, social-emotional, and motor development in early childhood. The research method used was qualitative descriptive with group B child subjects in PAUD Mawar. Data collection techniques are carried out through observation, interviews, and documentation. The results of the study show that environment-based play learning is able to increase children's active involvement, curiosity, communication skills, cooperation, and motor skills. The conclusion of this study shows that environment-based play learning is effectively applied in PAUD Mawar and can be used as an alternative to contextual and holistic learning strategies.

This study aims to analyze the effect of the use of kahoot game media on the cognitive learning outcomes of moral beliefs in grade VII C MTS negeri 1 Tuban students. The background of this research is the low enthusiasm and learning outcomes of students in learning moral beliefs which are still dominated by conventional methods while the characteristics of agency students demand a more interactive and adaptive learning approach to technology. This study uses a quantitative approach with a quasi-experimental design of one group pretest design involving 34 students as a sample. This research instrument is in the form of a multiple-choice cognitive learning outcome test of 20 questions covering 4 levels of bloom taxonomy, namely remembering, understanding, applying, and analyzing. The data was analyzed using descriptive statistics and normalistic calculations, the results of the study showed a significant increase in students' cognitive learning outcomes where the average class score increased from 66.03 in the pre-test to 80.29 in the post-test with an engine value of 0.42 which was in the medium category. These findings identify that kahood media has a positive impact on improving students' cognitive learning outcomes.

The rapid development of digital technology has significantly influenced the lives of young children, affecting their cognitive, social, and emotional development. However, this advancement also presents challenges for parents in guiding their children to avoid the negative impacts of digital exposure. This article aims to explain the importance of digital literacy for parents, identify the main challenges they face in managing children’s technology use, and offer effective strategies for digital parenting. The method used is a literature review based on recent academic sources. The findings show that parents’ digital literacy plays a crucial role in shaping healthy digital behavior in early childhood. Parents with high levels of digital literacy can act as filters, facilitators, and role models in using technology wisely. Collaboration among families, educational institutions, and the government is also necessary to create a safe and supportive digital environment for children’s optimal development.

This study examines the role of mathematics learning in improving logical thinking skills in early childhood. The background of this study is based on the importance of logical thinking skills as a foundation for children's cognitive development, which can begin at an early age through appropriate mathematics learning. The purpose of this study is to analyze how mathematics learning can stimulate the development of logical thinking in early childhood and explore effective learning strategies. The methods used are library research and observation of several models of mathematics learning for early childhood in early childhood education institutions. The findings indicate that fun and concrete activity-based mathematics learning can improve children's abilities in critical thinking, constructing patterns, drawing conclusions, and solving simple problems. The implications of this study emphasize the need for the application of creative and interactive mathematics learning methods to support the development of logical thinking from an early age, while also encouraging educators to integrate mathematics into children's daily activities. This study also recommends the development of learning media appropriate to children's developmental stages for optimal results.

This study analyzes the impact of artificial intelligence on youth digital political engagement through a Structural Equation Modeling approach. The development of algorithmic technology has changed the way young people access, assess, and react to political information, requiring an empirical understanding of its mechanisms of influence. This study explores how digital literacy, trust in AI, and perceived usefulness shape online political participation. Data was obtained from an online questionnaire targeting individuals aged 17-30 who are active with AI, then analyzed using the SEM-PLS 4 method. The main findings reveal that digital literacy and trust in AI have a strong influence on perceived usefulness, which acts as a key mediator in encouraging such participation. This indicates that the impact of AI is not direct, but rather occurs through cognitive processes that guide young people in assessing the benefits of technology. The implications of this research emphasize the importance of strengthening digital literacy, algorithm transparency, and responsible AI implementation to strengthen inclusive youth political participation in the digital environment.

General education at Islamic Religious Higher Education Institutions (PTKI) plays an important role in developing students’ critical thinking skills so they can analyze religious and social issues reflectively and contextually. However, learning practices in PTKI are still dominated by teacher-centered approaches and low cognitive achievement, which limits the development of analytical, evaluative, and problem-solving abilities. Meanwhile, studies show that integrating digital media, particularly video, can improve conceptual understanding, motivation, and cognitive engagement, yet a digital video-based meaningful learning model specifically designed for the PTKI context remains limited. Therefore, this study aims to formulate a Digital Video-Based Meaningful Learning Model (MPBBVD) to enhance students’ critical thinking skills. This research employed a literature review method by analyzing books, scientific articles, research reports, and digital sources related to meaningful learning, constructivism, multimedia learning, digital video use, and critical thinking development. Data were analyzed descriptively and qualitatively to identify the theoretical foundations, learning syntax, and design principles of the model. The findings indicate that MPBBVD integrates Ausubel’s Meaningful Learning theory, constructivist perspectives from Piaget, Vygotsky, and Bruner, Mayer’s Multimedia Learning theory, and the critical thinking framework of Facione and Ennis. The model uses digital video as the main learning medium and applies the ACTIVE stages (Attend, Connect, Think, Interpret, Verify, Evaluate) to promote contextual and interactive learning. Integrating pre-, during-, and post-video activities supports knowledge construction, reduces cognitive load, and increases student engagement, contributing theoretically and practically to improving critical thinking in PTKI in the Industrial Revolution 4.0 era.

Recommender systems play a critical role in shaping user decisions across digital platforms; however, the increasing complexity of recommendation algorithms has raised serious concerns regarding transparency, trust, and accountability. This study focuses on enhancing the transparency of recommender systems by integrating Explainable Artificial Intelligence (XAI) techniques within a MovieLens-based recommendation framework. The primary problem addressed is the opacity of conventional recommendation models, which limits user understanding of why certain items are recommended and may reduce trust, perceived fairness, and system acceptance. Accordingly, the main objective of this research is to design and evaluate a hybrid explainable recommender system that balances predictive accuracy with human-understandable explanations. The proposed approach combines Matrix Factorization, feature-importance-aware neural networks, and knowledge graph embeddings to construct a robust recommendation model. To enhance explainability, multiple XAI strategies are integrated, including model-agnostic methods (LIME, SHAP, and CLIME), argumentation-based explanations, and context-aware personalized explanations. A comprehensive evaluation framework is employed, incorporating algorithmic metrics (accuracy, fidelity, robustness, counterfactual consistency, and fairness) alongside human-centered evaluations measuring trust, transparency, cognitive load, and perceived usefulness. Experimental results demonstrate that the knowledge graph–enhanced hybrid model achieves superior recommendation accuracy compared to baseline approaches. Moreover, context-aware explanations consistently outperform other methods in terms of fidelity, robustness, and user-perceived transparency, while argumentation-based explanations are found to be the most persuasive. CLIME offers a strong balance between technical stability and interpretability. The findings indicate that no single explainability technique is universally optimal; instead, hybrid and adaptive explanation strategies are most effective. In conclusion, this study confirms that human-centered, context-adaptive XAI significantly improves transparency and user trust in recommender systems, highlighting explainability as a fundamental component rather than an optional enhancement.

The RIGEM community service program was carried out with the aim of strengthening character education for early childhood through the use of children’s songs in TK B. The background of this activity stems from concerns about the increasing exposure of children to adult songs and content, which may influence their behavior and moral values. Children’s songs were chosen as the main medium because they have simple melodies, easy-to-remember lyrics, and contain positive values that can stimulate children's cognitive, affective, and social development. This study employs a descriptive qualitative approach using the CIPP evaluation model (Context, Input, Process, Product) to assess the effectiveness of the program. Data were collected through observations, interviews with teachers and parents, and documentation of activities. The results show that the children’s songs introduced particularly those containing messages about politeness, cooperation, and responsibility were effective in improving children's understanding of moral values and encouraging positive behavioral changes. Children became more accustomed to using polite expressions, showing empathy, and cooperating during classroom activities. Teachers and parents played an important role in reinforcing these habits both at school and at home. Overall, the RIGEM program proved to be an effective, enjoyable, contextual, and easily implemented effort to foster character development in early childhood education.

The RIGEM community service program was carried out with the aim of strengthening character education for early childhood through the use of children’s songs in TK B. The background of this activity stems from concerns about the increasing exposure of children to adult songs and content, which may influence their behavior and moral values. Children’s songs were chosen as the main medium because they have simple melodies, easy-to-remember lyrics, and contain positive values that can stimulate children's cognitive, affective, and social development. This study employs a descriptive qualitative approach using the CIPP evaluation model (Context, Input, Process, Product) to assess the effectiveness of the program. Data were collected through observations, interviews with teachers and parents, and documentation of activities. The results show that the children’s songs introduced particularly those containing messages about politeness, cooperation, and responsibility were effective in improving children's understanding of moral values and encouraging positive behavioral changes. Children became more accustomed to using polite expressions, showing empathy, and cooperating during classroom activities. Teachers and parents played an important role in reinforcing these habits both at school and at home. Overall, the RIGEM program proved to be an effective, enjoyable, contextual, and easily implemented effort to foster character development in early childhood education.

The implementation of the eighth-grade Christian Religious Education teaching module on the topic "Love as the Foundation of a Believer's Life" was carried out as an effort to provide an active, reflective, and contextual learning process in accordance with the principles of the Independent Curriculum. Learning is designed through an interactive approach with discussion activities, analysis of biblical texts, case studies, problem-solving, and personal reflection that provide opportunities for students to construct understanding independently. Through these activities, students are guided to understand the concept of agape love as sincere love, giving without expecting anything in return, and is manifested in concrete actions towards others. The implementation results show that this teaching module is able to improve students' conceptual understanding of the meaning of love from a biblical perspective and its relevance in modern life. Students appear to be increasingly confident in expressing opinions, are able to work together in groups, and are actively involved in learning activities. In addition, the emergence of attitudes of empathy, tolerance, and habits of helping each other are indicators that the value of love is not only understood cognitively, but also internalized in behavior. This teaching module also contributes to improving students' critical thinking skills and spirituality through reflection activities that invite them to evaluate acts of love in daily life at school, family, and society.

This study examines how AI-driven personalized learning is reshaping educational psychology and pedagogical innovation across global learning environments. Using a qualitative methodology supported by library research and content analysis, the article synthesizes contemporary literature on adaptive learning systems, intelligent tutoring technologies, and real-time feedback mechanisms. Findings reveal that AI significantly reconfigures cognitive processes by providing individualized learning pathways, dynamic assessments, and continuous feedback that strengthen metacognitive skills and learner autonomy. The study further identifies the transformative role of AI in redefining student motivation, reinforcing self-regulated learning, and enhancing engagement through adaptive challenges and gamification elements. Pedagogically, AI shifts teachers’ professional identities toward roles as facilitators, data interpreters, and learning designers, underscoring the need for robust digital literacy and ongoing professional development. Additionally, AI implementation is shaped by cultural nuances and equity concerns, particularly regarding access, inclusivity, and algorithmic fairness. Ethical considerations related to data privacy, transparency, and student well-being are essential for sustainable AI integration. Overall, this study highlights AI’s potential to advance personalized learning while emphasizing the need for ethical, human-centered frameworks that protect learners and ensure equitable educational transformation.

Indonesia’s projected demographic bonus around 2045 must be harnessed as an advantage rather than becoming a burden. This potential benefit is highly dependent on the quality of human resources prepared from the present time. One of the key national programs in this regard is embodied in the vision of Indonesia Emas 2045. An interesting phenomenon can be observed in Cibeber District, Cilegon City, where the prevalence of stunting was once relatively high. This issue warrants serious attention as it directly affects children’s physical growth and cognitive development.This study analyzes strategies for ensuring adequate nutritional fulfillment as an effort to improve the quality of the golden generation. By employing SWOT analysis, several strategic alternatives were identified, including SO (strength–opportunity), WO (weakness–opportunity), ST (strength–threat), and WT (weakness–threat) strategies. The most critical recommendation highlights the importance of cross-sectoral collaboration and participatory involvement of all stakeholders.

This study develops an architectural design framework integrating fun and playful spatial characteristics with futuristic, science-based approaches to enhance children’s engagement with science and technology learning. Traditional learning environments are often rigid and fail to stimulate curiosity, especially among children aged 7–11. Utilizing a qualitative conceptual analysis, this research synthesizes architectural theory, neuroscience learning principles, children’s spatial psychology, and science-based design methodologies. The results show that playful spatial elements—dynamic forms, color contrasts, sensory interactions, and imaginative environments—significantly improve motivation, exploration, and conceptual understanding. Futuristic design components further support scientific literacy by projecting technological possibilities and integrating interactive digital tools. The study produces a conceptual architectural model linking playfulness, scientific experience, and future-oriented visualization. It concludes that learning environments must be intentionally designed to merge emotional engagement, cognitive stimulation, and technological representation. The implications extend to the design of children’s museums, science centers, and early STEM learning facilities.

This research is motivated by the increasing amount of waste caused by high levels of public consumption, limited waste management facilities, and low environmental awareness. Lyfe With Less, an eco-friendly community, utilizes the function of Public Relations to deliver information and raise public awareness. This study aims to (1) identify the #SalingSilang campaign message conducted by Lyfe With Less, (2) examine the attitudes of Instagram followers of @lyfewithless toward the campaign, and (3) measure the influence of the #SalingSilang Public Relations campaign message on followers’ attitudes. The research applies the Campaign Message Design Theory, which includes message content, structure, and framing, as well as the Attitude Component Theory, which covers cognitive, affective, and conative aspects. A quantitative approach was used with a survey method by distributing questionnaires to 81 respondents selected randomly through probability sampling. The results show that the #SalingSilang campaign message received positive responses and had a significant and strong influence on followers’ attitudes. Within the Public Relations campaign message, the key message was found to be the most influential factor in the message content dimension, while in followers’ attitudes, the conative component showed the greatest change, particularly in reducing overconsumption and encouraging the optimal use of products.

This study aims to implement and evaluate the effectiveness of a learning module designed for X grade students (Phase E) at SMAN 4 Palangkaraya, focusing on the Christian values of love, justice, and tolerance within the framework of the Merdeka Curriculum. The implementation involved classroom teaching using lectures, group discussions, and quizzes to foster active and meaningful learning experiences. The objectives included ensuring students' understanding of the core values, developing their ability to articulate these values, and achieving a minimum score on quizzes. The methodology included direct teaching, observation of student responses and engagement, and evaluation of learning outcomes through cognitive and affective assessments. Findings revealed that 90% of students actively participated in discussions, and all groups engaged in answering quiz questions. The use of rewards notably enhanced student enthusiasm and participation. Despite the overall success, some students did not achieve the highest performance level. The implications suggest that integrating technology into the learning process and thorough preparation of teaching materials are crucial for enhancing student outcomes. This study contributes to the understanding of how Christian values can be effectively integrated into the curriculum to promote holistic student development, aligning with the Pancasila Student Profile, which emphasizes faith, moral integrity, global diversity, and collaboration.                                                                     

This study examines the emerging paradigm of federated intelligence architectures as a secure, privacy-preserving, and scalable foundation for data-driven innovation across AI, IoT, and cloud ecosystems. With billions of interconnected devices generating massive heterogeneous data, traditional centralized machine-learning models face critical limitations, including privacy risks, regulatory constraints, latency, and single points of failure. Through a qualitative content-analysis approach, this paper synthesizes contemporary research on federated learning, blockchain integration, zero-trust governance, and edge intelligence to formulate a comprehensive understanding of distributed AI infrastructures. The findings highlight that federated learning enables collaborative model training without exposing raw data, significantly enhancing privacy, security, and compliance. Moreover, combining blockchain with federated learning strengthens auditability, model integrity, and trust, while zero-trust principles provide continuous verification and adaptive security enforcement across devices. Edge-AI integration further reduces latency and bandwidth consumption, enabling real-time analytics in resource-constrained IoT environments. Collectively, these elements contribute to the formation of cognitive ecosystems capable of autonomous, interoperable, and context-aware operations. The study underscores the transformative potential of federated intelligence while identifying critical gaps that inform future research trajectories.

This study evaluated the effectiveness of the JKN Mobile interface using Nielsen’s Usability Heuristic Principles to identify issues that affect clarity, consistency, and user navigation. The research applied a descriptive qualitative approach through interface observation and visual analysis, focusing on typography, layout, color usage, iconography, and feedback mechanisms. The findings showed that several essential elements of system status were not clearly presented, such as loading indicators, data update information, and synchronization cues. Inconsistencies in icon style, visual hierarchy, and button functions further reduced predictability and increased the cognitive load on users. Some screens also displayed incomplete content and unclear action mapping, which disrupted task flow. The study concludes that improving visual hierarchy, standardizing interface components, refining navigation paths, and providing clearer feedback can strengthen usability and support the application’s role as an accessible digital public service.

This study explores the relevance of Imam Al-Ghazali’s educational philosophy to contemporary Islamic education in responding to current moral, social, and educational challenges. Using a library research method, the study systematically examines Al-Ghazali’s views on educational goals, curriculum orientation, the role of teachers, and instructional methods, and then contextualizes these perspectives within the dynamics of modern educational systems. The analysis highlights how Al-Ghazali’s educational thought addresses issues related to moral decline, character formation, and the imbalance between intellectual achievement and ethical development in present-day education. The findings show that Al-Ghazali’s emphasis on integrating knowledge and character, balancing cognitive, affective, and psychomotor aspects, and highlighting the teacher’s role as a moral exemplar remains highly applicable today. His educational framework which prioritizes spiritual development, moral formation, self-discipline, and closeness to God offers a strong, comprehensive, and relevant foundation for renewing Islamic education in the modern era and for fostering holistic learners with intellectual competence, ethical awareness, and spiritual integrity.