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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.

The development of digital technology in the Society 5.0 era presents both challenges and opportunities in history teaching, particularly regarding teachers’ ability to integrate technology and adapt to changes in students’ learning styles. This study aims to analyse the challenges faced by teachers and the strategies employed in digital-based history teaching. The method used is a Systematic Literature Review (SLR) employing the PRISMA approach, involving the stages of identification, screening, eligibility assessment, and inclusion of scientific articles published between 2020 and 2025. From the selection process, 25 relevant articles were identified for qualitative descriptive analysis. The findings indicate that teachers’ digital literacy levels remain at a moderate level and are unevenly distributed, thereby affecting the sub-optimal integration of technology into teaching. Furthermore, changes in students’ learning styles which are increasingly technology-oriented require more interactive and contextual pedagogical innovations. On the other hand, the use of digital media has proven capable of enhancing student motivation and learning outcomes, although this is still hindered by limitations in infrastructure and teachers’ technical competencies. The abundance of historical information on the internet also poses challenges regarding the validity of sources, thus necessitating the strengthening of digital literacy and critical thinking. The implications of this research underscore the importance of the ongoing development of teachers’ digital skills, the improvement of educational facilities, and the implementation of innovative teaching models to ensure that history teaching becomes more relevant and effective, and is capable of fostering critical thinking skills in pupils in the digital age.

Empowering student health unit (UKS) cadres in the areas of eye health and entrepreneurship is crucial for preventing visual impairment and fostering a smart and productive generation. This activity aims to improve the quality of life and future of students through health education, eye health services used in learning, vision care, and entrepreneurship. The benefits of this educational activity include increased understanding of health, particularly regarding visual impairment and its management, preventing visual impairment, and enhancing entrepreneurial knowledge and skills. This community service activity utilizes a participatory educational method, prioritizing a needs-based approach for the target partners, namely junior high school students and, in particular, the UKS cadres. The activity was conducted in stages and divided into several main phases to ensure effective and sustainable transfer of knowledge and skills. The activity was conducted in several main sessions involving all 440 students in grades 7 and 8, including 27 UKS staff. The results of this community service program include increased knowledge of junior high school students about healthy vision, awareness of maintaining near and far vision within normal limits through healthy behaviors in using the sense of sight. Students' understanding of entrepreneurship from outside sources is also enhanced, as students have already received entrepreneurship lessons. However, information provided by outside sources will further strengthen and inspire them to create opportunities that align with their interests and talents. The skills of the Health Unit (UKS) cadres in conducting visual acuity checks independently and with peers are expected to be conducted periodically and routinely every three months, and incidentally if needed or if someone needs it due to complaints of decreased vision. The eye health and entrepreneurship education model can serve as a reference for other schools. It needs to be implemented continuously and in stages, in line with technological developments and the latest health policies.  

Empowering student health unit (UKS) cadres in the areas of eye health and entrepreneurship is crucial for preventing visual impairment and fostering a smart and productive generation. This activity aims to improve the quality of life and future of students through health education, eye health services used in learning, vision care, and entrepreneurship. The benefits of this educational activity include increased understanding of health, particularly regarding visual impairment and its management, preventing visual impairment, and enhancing entrepreneurial knowledge and skills. This community service activity utilizes a participatory educational method, prioritizing a needs-based approach for the target partners, namely junior high school students and, in particular, the UKS cadres. The activity was conducted in stages and divided into several main phases to ensure effective and sustainable transfer of knowledge and skills. The activity was conducted in several main sessions involving all 440 students in grades 7 and 8, including 27 UKS staff. The results of this community service program include increased knowledge of junior high school students about healthy vision, awareness of maintaining near and far vision within normal limits through healthy behaviors in using the sense of sight. Students' understanding of entrepreneurship from outside sources is also enhanced, as students have already received entrepreneurship lessons. However, information provided by outside sources will further strengthen and inspire them to create opportunities that align with their interests and talents. The skills of the Health Unit (UKS) cadres in conducting visual acuity checks independently and with peers are expected to be conducted periodically and routinely every three months, and incidentally if needed or if someone needs it due to complaints of decreased vision. The eye health and entrepreneurship education model can serve as a reference for other schools. It needs to be implemented continuously and in stages, in line with technological developments and the latest health policies.  

This study aims to examine the application of a modified direct learning strategy combined with the demonstration method to improve students' cognitive abilities. The direct learning strategy is an approach that emphasizes the systematic and gradual delivery of material, so that students can understand concepts in a more structured manner. However, in practice, this strategy needs to be modified to be more engaging and appropriate to the characteristics of students. The demonstration method is used as a form of reinforcement in the learning process, where students not only receive information verbally but also directly observe the processes, events, or concepts being studied. This allows students to gain a more concrete and meaningful learning experience. Modifications to the learning strategy are carried out through adjustments to models, methods, media, and learning facilities and infrastructure to optimally support the achievement of learning objectives. Students' cognitive abilities are the main focus of this study, which include aspects of knowledge, understanding, application, analysis, evaluation, and creation according to Bloom's taxonomy. With the implementation of appropriate learning strategies, students are expected to be able to develop more active and critical thinking skills. The results of the study indicate that a modified direct learning strategy with the demonstration method has the potential to significantly improve students' cognitive abilities. Therefore, this approach can be used as an alternative, effective learning strategy to create a more interactive, engaging, and meaningful learning process.

Globalization brings complex challenges to Islamic education, ranging from secularization to a moral identity crisis among the younger generation. This study aims to formulate a reconstruction of Islamic education to ensure its relevance and adaptability in addressing current issues in the global era. The research method used is library research with a descriptive-analytical approach to various educational literature and contemporary phenomena. The results of the discussion indicate that current Islamic education still suffers from weaknesses in its normative-textual curriculum, conventional learning methods, and limited technological adaptation. Therefore, reconstruction efforts are needed, including a reorientation of educational goals toward the formation of perfect human beings, the development of an integrative curriculum that eliminates the dichotomy of knowledge, and the transformation of student-centered learning methods and digital literacy. The implications of this study emphasize that an adaptive Islamic education model must be able to align the values ​​of monotheism with 21st-century competencies. By integrating science and Islamic values, Islamic education is expected to produce a generation that excels intellectually while possessing strong spiritual and moral resilience in the face of global change.

Algorithmic technologies are widely used in contemporary marketing strategies due to the growth of the digital economy. Digital companies can evaluate consumer activity data in real time and provide highly personalized digital experiences thanks to artificial intelligence-based solutions, especially machine learning. In addition to examining how algorithmic governance and surveillance capitalism affect algorithmic personalization, this study looks into how these mechanisms affect consumer engagement, purchase intention, and perceptions of hyperreality within the digital market ecosystem. 356 active users of digital platforms, such as social media and e-commerce, were surveyed as part of this study's quantitative methodology. The links between the constructs in the suggested conceptual model were examined through data analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that the development of algorithmic personalization systems is strongly influenced by data-driven capitalism practices and algorithmic governance. Additionally, it has been demonstrated that algorithmic personalization improves customers' sense of hyperreality and increases their interaction with digital platforms. Additionally, the study shows that the most powerful factor influencing purchase intention is consumer interaction. By combining viewpoints from technology, the political economics of data, and hyperreality theory into a thorough empirical framework, these findings add to the body of knowledge on digital marketing.

The development of globalization and digital culture has given rise to an epistemological crisis that shifts the authority of truth from revelation to social construction, so that the authority of the Bible in Christian education is increasingly marginalized. This condition has an impact on the low internalization of the value of faith, where students understand the Bible cognitively but do not live it in daily practice. This research aims to reconstruct the authority of the Bible in Christian education through an integrative and contextual approach in the midst of global cultural fragmentation. This research uses a qualitative approach with a library research method that integrates theological, pedagogical, and digital cultural contexts. Data were obtained from theological literature, educational theory, and relevant journal articles, which were analyzed using content analysis techniques and theological-constructive reflection. The results show that the crisis of biblical authority is influenced by epistemic shifts, the dominance of post-truth culture, low internalization of values, and non-contextual pedagogical approaches. This research creates a model of reconstruction of biblical authority that integrates the epistemological, pedagogical, and bruxistic dimensions in a transformational manner. In conclusion, this reconstruction does not change the theological substance of the Bible but updates the approach to learning to be more dialogical, reflective, and contextual, so that the authority of the Bible remains relevant in shaping the faith and character of learners in the global era.  

This study examines the integration of biblical authority into curriculum design and pedagogical practices as a foundation for developing a transformational Christian education model in a global, digital context. The main issue raised is the dichotomy between normative theological approaches and contemporary pedagogical practices that are often secular, leading to a weak integration of faith and learning in Christian education. The purpose of this study is to formulate an integrative model that harmonizes biblical authority with modern pedagogical approaches in a contextual, relevant, and applicable manner. The research method uses a qualitative approach through systematic literature study and conceptual analysis of various recent journals and books in the fields of Christian education, curriculum, and transformational pedagogy. The results show that the integration of biblical authority can be constructed through three main dimensions: epistemological (the Bible as a source of truth), curricular (the integration of biblical narratives into the curriculum structure), and pedagogical (learning practices oriented towards character transformation and spirituality). The research synthesis produces the "Biblical Transformative Curriculum-Pedagogy Integration (BTCPI)" model that emphasizes the relationship between theological truth, character formation, and the practice of faith. In conclusion, the holistic integration of biblical authority and modern pedagogy contributes significantly to developing students who are not only academically competent but also possess contextual spiritual and moral maturity.          

This research aims to analyze the integration of biblical authority in the construction of the theological education curriculum through a theological and pedagogical approach. The authority of the Bible as the normative and final word of God has a central role in the formation of doctrine, ethics, and practices of church life, so it should be the main foundation in the development of the theological education curriculum. In practice, however, there is a tendency that the construction of the curriculum is more influenced by modern academic and pedagogical approaches without adequate integration into biblical theological foundations. This study uses a qualitative method with a literature study approach that analyzes various sources of systematic theology and Christian education theory. The results of the study show that the integration of biblical authority in the theological education curriculum can be carried out through three main aspects, namely: (1) the placement of the Bible as a normative source in the entire curriculum structure, (2) the integration of theological values in learning design, and (3) the development of pedagogical models oriented towards spiritual formation and character. The findings of this study confirm that the construction of a theological education curriculum rooted in biblical authority not only results in academic competence, but also shapes spirituality, integrity of faith, and readiness for ministry. Thus, this research makes a conceptual contribution in developing an integrative theological education curriculum model between theological and pedagogical dimensions.    

 Cryptocurrency price prediction, particularly for highly volatile assets like Solana (SOL), is a crucial challenge in time series data analysis in digital finance. This study aims to compare the performance of the XGBoost machine learning algorithm with the Temporal Fusion Transformer (TFT) deep learning model in predicting Solana's daily closing price. The dataset used consists of historical Solana price data and network fundamentals data in the form of Total Value Locked (TVL). The research process includes data preprocessing, dividing training and test data, model training, and evaluation using the Root Mean Squared Error (RMSE) metric. The results show that using the same-day price feature has the potential to cause target leakage, resulting in invalid prediction accuracy. In testing using pure historical data without data leakage, the XGBoost model performed better than TFT with an RMSE of 4.27, while TFT produced an RMSE of 18.59. Furthermore, the integration of network fundamentals data in the form of TVL did not improve prediction accuracy and even caused a decrease in performance for the XGBoost model with an RMSE of 7.10. The results of this study show that the use of historical price action features is more effective than fundamental network indicators for short-term daily Solana price predictions.

The rapid proliferation of learning analytics, business intelligence (BI), artificial intelligence (AI), and generative AI (GenAI) has significantly expanded universities’ ability to collect, integrate, analyze, and operationalize institutional data. However, despite advances in predictive analytics, dashboards, and AI-driven systems, the translation of analytical outputs into consistent and accountable institutional decision-making remains uneven. This systematic literature review synthesizes contemporary research on analytics-enabled decision-making in higher education with the aim of moving beyond dashboard-centric perspectives toward a socio-technical and computing-oriented understanding of how data are transformed into institutional actions and outcomes. Guided by the PRISMA framework, the review synthesizes evidence across four interconnected dimensions: data ecosystems and learning analytics foundations; analytics capability, BI adoption, and digital readiness; AI and advanced analytics for decision support; and human-in-the-loop (HITL) decision routines and institutional outcomes. The findings show that predictive performance and analytical sophistication alone do not guarantee decision value. Instead, effective analytics-enabled decision-making depends on interoperable data ecosystems, organizational analytics capability, governance mechanisms, explainability, and sustained human oversight. Based on these findings, this review contributes a computing-oriented decision-intelligence framework that conceptualizes analytics-enabled decision-making as an end-to-end socio-technical pipeline linking heterogeneous data acquisition, integration, feature construction, analytical modeling, explainability, human validation, governance, and feedback-based refinement. By integrating learning analytics, BI, AI, GenAI, and HITL mechanisms within a unified framework, the review clarifies how universities can move beyond dashboard-based reporting toward accountable, adaptive, and institutionally actionable decision-support infrastructures.

This study examines the role of Artificial Intelligence (AI) in enhancing student collaborative learning, with a particular emphasis on AI-driven feedback mechanisms and patterns of student interaction in developing effective collaborative skills. Unlike prior studies, this research highlights the mediating effect of AI-driven feedback on teamwork efficiency and overall learning outcomes in collaborative environments. An explanatory quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure robust data analysis. Data were collected from 112 university students who were actively engaged in AI-assisted collaborative learning activities, using a structured online survey instrument. The data were subsequently analyzed using SmartPLS software. The results reveal that AI significantly enhances student interaction (β = 0.534, p < 0.000) and improves problem-solving feedback (β = 0.620, p < 0.000), both of which contribute to significantly strengthening collaborative skills (β = 0.716, p < 0.000). However, the findings also indicate that AI alone does not directly improve collaboration without the support of structured pedagogical design and guidance. Therefore, universities should strategically integrate AI-driven feedback into Learning Management Systems (LMS) and strengthen digital literacy initiatives to optimize the effectiveness and sustainability of AI in collaborative learning contexts.

Mental health issues among university students have become a growing concern, driven by academic pressures, career uncertainties, and complex social transitions. However, a large proportion of students remains reluctant to seek professional psychological support due to social stigma and limited access to institutional counseling services. This study proposes the design and implementation of an Android-based chatbot application that integrates mood tracking and sentiment analysis to continuously monitor the emotional states of university students. The system employs a fine-tuned RoBERTa (Robustly Optimized BERT Pretraining Approach) model trained on the EmoContext conversational dataset (SemEval-2019 Task 3), comprising 30,160 labeled three-turn dialogue instances across four emotion classes: angry, happy, sad, and others. The model was fine-tuned for four epochs using the AdamW optimizer with a learning rate of 2e-5 and a maximum sequence length of 128 tokens. Evaluation on a held-out validation set of 6,032 samples yielded an overall accuracy of 88.28%, a macro-average F1-score of 0.87, and a weighted-average F1-score of 0.88. Per-class F1-scores were 0.89 (angry), 0.83 (happy), 0.91 (others), and 0.86 (sad). The classified emotion is transmitted in real time to the chatbot response logic, which generates empathetic replies and personalized relaxation recommendations based on the detected mood. Primary data collection through questionnaires and interviews with 62 and 19 university students respectively confirmed the need for accessible digital mental health support. The results demonstrate that RoBERTa-based fine-tuning on conversational data provides a reliable foundation for real-time emotion-aware mental health chatbot systems.

Suspicious urban sound recognition is a critical component of intelligent public safety and urban monitoring systems, enabling the automated identification of anomalous acoustic events such as gunshots, sirens, and other security-sensitive sounds. However, existing deep learning approaches often struggle to simultaneously capture long-range temporal dependencies and global contextual relationships, particularly under noisy and acoustically complex urban conditions. This limitation can reduce reliability in safety-critical scenarios where missed detections carry significant risk. To address these challenges, this study proposes a Multi-Branch Bidirectional Long Short-Term Memory (BiLSTM) framework with Multi-Head Self-Attention (MHSA) for enhanced sequential and contextual feature modeling. Mel-frequency cepstral coefficients (MFCCs) are extracted from a curated subset of the UrbanSound8K dataset, comprising five suspicious sound classes, and used as input to the proposed architecture. The multi-branch design enables complementary temporal representations, while the self-attention mechanism provides lightweight contextual weighting of BiLSTM outputs. Experimental results demonstrate that the proposed model achieves a test accuracy of 95.59%, outperforming conventional Dense and LSTM-based baseline models under identical experimental settings. An ablation study further confirms the contribution of multi-branch integration and attention-based enhancement to overall performance. Class-wise evaluation reveals consistently high recall across all sound categories, particularly for safety-critical classes such as gunshots and sirens. These findings indicate that the proposed framework provides robust and reliable performance, making it suitable for real-time smart city surveillance and public safety applications.

 This research addresses the growing tendency of contemporary education to prioritize cognitive achievement while marginalizing character formation and spiritual development, resulting in an imbalanced educational paradigm that affects the holistic growth of learners in various educational contexts. In response, the research critically examines the concept and principles of Christian education as articulated by Ignatius Loyola, particularly in relation to contemporary educational challenges and the need for meaningful transformation in learning processes today. The study employs a qualitative approach using a literature review method, drawing on relevant academic sources such as books, peer-reviewed journal articles, and theological writings to support systematic and critical analysis. The findings indicate that Ignatian educational thought emphasizes holistic human formation through the integration of intellectual, moral, and spiritual dimensions, grounded in the principles of Ad Majorem Dei Gloriam, Cura Personalis, and Find God in All Things, which together foster reflective, value-oriented learning. The study contributes to contemporary educational discourse by offering an alternative framework that promotes holistic development, strengthens character formation, and addresses the limitations of cognitively oriented educational models in diverse educational practices.

This study aims to analyze the strategies employed by madrasah principals to enhance teacher professionalism through the implementation of managerial functions, academic supervision, entrepreneurship, and socio-spiritual leadership at MAN 1 Bandung and MAN 2 Bandung. The study employs a qualitative approach using a descriptive case study method. Data collection techniques included in-depth interviews, participatory observation, and document analysis, while data analysis was conducted using the Miles and Huberman model through the stages of data reduction, data presentation, and drawing conclusions. The research findings indicate that strategies for enhancing teacher professionalism begin with needs-based planning, followed by strengthening clinical academic supervision, fostering a collaborative and innovative work culture, and implementing continuous evaluation. The implementation of these strategies has a positive impact on improving teachers’ pedagogical and professional competencies, work discipline, and the quality of learning. The novelty of this research lies in the discovery of the “Resilient Professionalism” model a model of teacher professionalism that emphasizes resilience and adaptability to changes in curriculum, technology, and educational dynamics. This model is built through the synergy of the spiritual-managerial leadership of the madrasah principal and the collective efficacy of teachers to achieve sustainable quality in Islamic education.

The global ecological crisis is not only a scientific issue but also reflects the decline of human moral and spiritual awareness toward nature. This study aims to examine the acculturation approach of Islam Nusantara in Islamic Religious Education (PAI) learning as an effort to foster students’ ecological awareness. The research employed a qualitative library research method using various relevant sources, including books, national and international journal articles, and educational policy documents. Data analysis was conducted through data reduction, thematic presentation, and interpretive-analytical conclusion drawing. The findings indicate that Islam Nusantara, as a product of the acculturation between universal Islamic values and local Nusantara wisdom, contains various ecological traditions such as sasi, subak, and hutan larangan (forbidden forests), which can be contextually integrated into PAI learning. The developed learning model includes the use of local wisdom as learning resources, participatory project-based learning methods, and thematic Qur’anic interpretation related to environmental issues. The ecotheological approach of Islam Nusantara is considered effective in connecting religious teachings with students’ ecological realities, thereby fostering a religious-ecological character that views environmental preservation as part of worship. Although challenges remain in theological, pedagogical, and institutional aspects, this approach contributes strategically to shaping environmentally responsible Muslim generations.

Strengthening scientific literacy in elementary science learning requires interactive and contextual instructional strategies. Game-based learning has been shown to enhance student motivation and engagement (Clark et al., 2016). This study aims to develop and examine the effectiveness of an interactive quiz-based educational game on the topic of food chains and ecosystems for fifth-grade students. The research employed a Research and Development approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation stages (Yusuf & Rahman, 2023). The participants were 25 students. Data were collected through pretest and posttest instruments and analyzed using the N-Gain formula to measure learning improvement. The findings indicate a moderate to high increase in students’ learning outcomes after the implementation of the developed media. In addition, students demonstrated greater participation during the learning process. These results suggest that interactive quiz-based educational games can serve as an effective alternative strategy to enhance conceptual understanding in elementary science education.

Communication is an essential human right, yet a significant communication gap persists between individuals with sensory disabilities, specifically the deaf and speech-impaired, and the general public. While many technological solutions have been proposed to translate sign language, existing models primarily rely on heavy deep learning architectures such as Convolutional Neural Networks (CNN) or Recurrent Neural Networks (RNN/LSTM). These models often demand high computational power, leading to latency and limiting real-time application on standard devices. This study proposes a lightweight, fast, and highly responsive sign language translation system specifically designed to recognize static alphabets (A-Z) and single-character air writing. The system utilizes MediaPipe for hand tracking, where feature extraction is intelligently processed by calculating the relative spatial coordinates of fingertips to the wrist, reducing dependency on raw camera coordinates. Classification is performed using a Support Vector Machine (SVM) with a Radial Basis Function (RBF) kernel, prioritizing computational efficiency without sacrificing accuracy. To enhance user experience, the system introduces three key novelties: smart relative feature extraction, an anti-duplication hold system with a 1-second timer to prevent input spamming, and a non-blocking multithreaded audio execution (Daemon Thread) utilizing Google Text-to-Speech (gTTS), ensuring the webcam feed remains fluid during audio playback. Additionally, an alternative air-writing mode is integrated, utilizing geometric heuristics and PyTesseract OCR to read single drawn letters in the air. The results indicate that the proposed system operates swiftly and efficiently, bridging the communication barrier with a hardware-friendly approach.