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The spirituality of today’s church youth encounters multidimensional challenges, particularly the pervasive influence of digital culture, the gradual decline in interest toward spiritual disciplines, and the weakening of involvement in ecclesial ministry. Such dynamics often create a gap between theological knowledge and lived faith experiences. This Community Service (PkM) initiative was designed to respond to these issues by implementing an interactive model aimed at enhancing the spiritual understanding of the youth at GKSI Trimorejo Congregation. The model emphasizes participatory learning processes, in which youth are not merely passive recipients of teaching but active contributors to collective faith formation. The methodological framework consisted of three main stages: initial observation to identify needs and spiritual conditions; preparation of training modules contextualized with the congregation’s realities; and the implementation of interactive activities such as group discussions, thematic Bible studies, role-play, and collective reflection. Evaluation strategies integrated both quantitative and qualitative approaches, including pre-tests and post-tests to measure cognitive growth, alongside participatory interviews to capture experiential insights. The findings reveal a notable increase in youth comprehension of biblical principles, heightened enthusiasm and participation in church programs, and the establishment of a more cohesive spiritual learning community. Furthermore, the process encouraged a deeper sense of belonging and responsibility among the participants toward their ecclesial environment. In conclusion, the interactive model demonstrates significant effectiveness in fostering youth spirituality and may serve as a viable alternative strategy for churches encountering similar challenges within contemporary contexts of ministry.

This study focuses on how the use of Student Worksheets (LKPD) can support the Islamic Religious Education (PAI) learning process at MIS Al-Hidayah. Using a qualitative approach, researchers explored the experiences of teachers and students through interviews, observations, and documentation. The results indicate that LKPD equipped with visual media can create a more engaging learning environment, motivate students, and facilitate their understanding of the material. Teachers design LKPD with pictures and sequential steps, enabling students to be more active and able to learn independently or in groups. Despite obstacles, such as limited time for development and incomplete school facilities, teacher creativity and collaboration with colleagues proved key to success. These findings confirm that LKPD can be an effective learning tool, not only for improving cognitive understanding but also for instilling Islamic values ​​in students. This study also has implications for the development of PAI learning strategies in madrasah-based elementary schools. Thus, the innovative use of LKPD can become a sustainable learning model to improve the quality of Islamic education in the future.

To respond to the challenges and needs of contemporary society, the public sector must rapidly adapt to digital transformation. The objective of this research is to examine relevant and adaptive human resource development strategies for the digital ecosystem and to evaluate how they impact the quality of public services in the era of technological disruption. This research uses a descriptive qualitative approach with a literature review and policy analysis. It analyzes best practices from government institutions, both national and international, in developing human resources oriented towards the digital era. Key findings indicate that optimizing human resources requires not only improving technological capabilities or digital expertise; it also requires reconstructing leadership paradigms, flexible organizational cultures, and implementing meritocratic systems and data-driven performance management. It is evident that technologies such as big data analytics, artificial intelligence (AI), and the Internet of Things (IoT) can help improve public services, but the success of these technologies depends heavily on the capabilities and readiness of the employees who manage these systems. An integrated digital talent ecosystem must be built, encompassing continuous training (learning for life), collaboration between government, academia, and business (the triple helix model), and a regulatory framework responsive to technological developments. Furthermore, it is emphasized that developing digital integrity and ethics is crucial as a pillar of good governance in the digital era. Optimizing human resource development strategies systematically and sustainably will enable Indonesia to improve the efficiency of public services and strengthen the competitiveness of its bureaucracy globally. By 2045, adaptable, innovative, and highly integrated human resources will be the primary drivers of a digital government transformation that is inclusive, responsive, and future-oriented.

This study aims to improve student learning outcomes through the implementation of the Problem Based Learning (PBL) model assisted by PowerPoint media in Mathematics for Grade I students at SD IT Riyadhoturrohman. The research employs Classroom Action Research (CAR) conducted in two cycles. Each cycle consists of three meetings, following the stages of planning, implementation, observation, and reflection. The research subjects were 16 students from Grade I of SD IT Riyadhoturrohman. The Problem Based Learning model was chosen because it encouraged students to be actively involved in learning through solving contextual problems, while PowerPoint media was used to help visualize the mathematical concepts being taught. The results showed an improvement in students' learning outcomes from the pre-action stage to Cycle I, and a further increase in Cycle II. Additionally, students demonstrated improved participation, conceptual understanding, and teamwork skills. Thus, the implementation of the Problem Based Learning model assisted by PowerPoint media proved to be effective in improving the mathematics learning outcomes of Grade I students at SD IT Riyadhoturrohman.

The daily exchange of informatics over the Internet has both eased the widespread proliferation of resources to ease accessibility, availability and interoperability of accompanying devices. In addition, the recent widespread proliferation of smartphones alongside other computing devices has continued to advance features such as miniaturization, portability, data access ease, mobility, and other merits. It has also birthed adversarial attacks targeted at network infrastructures and aimed at exploiting interconnected cum shared resources. These exploits seek to compromise an unsuspecting user device cum unit. Increased susceptibility and success rate of these attacks have been traced to user's personality traits and behaviours, which renders them repeatedly vulnerable to such exploits especially those rippled across spoofed websites as malicious contents. Our study posits a stacked, transfer learning approach that seeks to classify malicious contents as explored by adversaries over a spoofed, phishing websites. Our stacked approach explores 3-base classifiers namely Cultural Genetic Algorithm, Random Forest, and Korhonen Modular Neural Network – whose output is utilized as input for XGBoost meta-learner. A major challenge with learning scheme(s) is the flexibility with the selection of appropriate features for estimation, and the imbalanced nature of the explored dataset for which the target class often lags behind. Our study resolved dataset imbalance challenge using the SMOTE-Tomek mode; while, the selected predictors was resolved using the relief rank feature selection. Results shows that our hybrid yields F1 0.995, Accuracy 0.997, Recall 0.998, Precision 1.000, AUC-ROC 0.997, and Specificity 1.000 – to accurately classify all 2,764 cases of its held-out test dataset. Results affirm that it outperformed bench-mark ensembles. Result shows the proposed model explored UCI Phishing Website dataset, and effectively classified phishing (cues and lures) contents on websites.

Quality culture in educational institutions has become a strategic issue to improve learning service quality and school accountability. However, its implementation still faces challenges such as limited human resources, resistance to change, and weak sustainable quality management strategies. This study aims to answer the question: how are the implementation strategies and supporting factors in strengthening quality culture within educational institutions based on previous research findings? This study employs a Literature Review (LR) method by collecting scientific articles from Google Scholar and Publish or Perish (PoP) using the keyword “budaya mutu” (quality culture) with a publication range from 2020 to 2025. From a total of 30 identified articles, a screening and eligibility process was conducted, resulting in 5 main articles analyzed thematically. The synthesis reveals three key themes: (1) the role of leadership and Total Quality Management (TQM) in reinforcing quality culture, (2) the application of the PPEPP/MBBS cycle for sustainable educational quality, and (3) supporting factors and challenges in developing a culture of quality. In conclusion, strengthening quality culture requires effective leadership, systematic management strategies, and cross-sector collaboration; future research is encouraged to develop field-based intervention models to test the effectiveness of quality culture strategies.

Learning Islamic Religious Education (PAI) requires a systematic and adaptive approach to address the challenges of student development in the modern era. The ADDIE model, which encompasses needs analysis and continuous evaluation, is considered effective in developing PAI learning. This study aims to examine the application of ADDIE-based PAI learning design in enhancing learning independence. The method used is library research by reviewing journals, books, and scientific documents related to the ADDIE model, PAI learning, and learning independence. Data were analyzed using a content analysis approach to identify patterns and relevance between variables. The results show that each stage of the ADDIE model plays a crucial role in strengthening student learning independence, through the design of structured learning activities, interactive media, and evaluations that encourage self-reflection. The implications of this study emphasize the need for consistent application of the ADDIE model by PAI teachers to improve the quality of learning and the formation of independent character. Schools also need to support resources and training for optimal implementation of the ADDIE model.

The rapid advancement of intelligent systems has accelerated the adoption of data-driven solutions across diverse industries, creating an increasing need for models that are both efficient and privacy-preserving. While traditional centralized machine learning approaches offer strong predictive capabilities, they often struggle with challenges related to data privacy, network latency, and computational inefficiency-especially in distributed environments with heterogeneous devices. To address these limitations, recent research has explored hybrid learning frameworks that integrate federated learning, edge computing, and dynamic model optimization techniques. These hybrid approaches enable models to process and learn from data closer to the source while maintaining stringent privacy requirements by keeping raw data localized. Additionally, the incorporation of pruning strategies, adaptive model compression, or multimodal data fusion contributes to improved speed, scalability, and accuracy in real-time inference tasks. Such frameworks have demonstrated notable promise in settings characterized by high data volume, operational complexity, and the necessity for fast anomaly detection or decision-making. However, despite these advancements, several challenges remain, including synchronization delays across edge nodes, variability in hardware capabilities, and the need for more efficient aggregation algorithms. Future developments may involve leveraging next-generation pruning techniques, energy-aware edge scheduling, decentralized orchestration protocols, or the integration of digital twin technologies to further enhance performance. Overall, hybrid distributed learning frameworks represent an important evolution toward more intelligent, secure, and autonomous computational ecosystems capable of supporting the next wave of smart applications.

Learning style theories have long been used to understand individual differences in learning processes. Models such as VAK (Visual, Auditory, Kinesthetic) and Multiple Intelligences offer frameworks for adapting instructional strategies to students’ preferences. However, these approaches have been criticized for their reductionism and limited empirical validity, often neglecting the holistic nature of human learning. In contrast, the Islamic concept of fitrah provides a more comprehensive perspective, encompassing intellectual, spiritual, moral, and emotional dimensions in an integrated manner. This conceptual article aims to analyze and integrate Western learning style theories with Islamic perspectives to develop a more holistic learning paradigm. Through an extensive literature review and theoretical analysis, the article proposes an integrative model that bridges empirical approaches with spiritual values. Theoretically, this integration enriches academic discourse by connecting two distinct knowledge traditions. Practically, it offers a framework for educators and institutions to design adaptive learning processes that address learner diversity while fostering spiritual and moral development.

This study aims to describe the implementation of an active learning model based on collaboration to improve students’ conceptual understanding in Islamic Religious Education (PAI). The background of this research stems from the low level of student engagement in the learning process, which has resulted in less optimal understanding of religious concepts. The research employed a qualitative approach with a classroom action research (CAR) design conducted in two cycles. The subjects were eleventh-grade students at a senior high school in City X. Data were collected through observation, interviews, and conceptual understanding tests. The findings revealed that the implementation of the collaborative active learning model increased students’ participation in learning activities, fostered critical thinking skills, and enhanced their conceptual understanding of Islamic Education materials. Through group discussions, problem-solving activities, and reflection sessions, students became more cognitively and affectively engaged in the learning process. Therefore, the collaborative active learning model can serve as an effective alternative strategy to improve both the process and outcomes of Islamic Religious Education learning.

This study explores the development and implementation of an Augmented Reality (AR)-based learning medium to enhance students’ understanding of tajwid at Madrasah Aliyah. The background of this research stems from the limited effectiveness of conventional teaching methods and the relatively low interest of students in learning tajwid. AR-based learning was chosen because it provides a more interactive and contextualized learning experience that actively engages learners. The research employed a Research and Development (R&D) approach using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. The participants were Madrasah Aliyah students selected as the experimental group. The findings reveal that the AR learning medium significantly improves students’ comprehension of tajwid rules compared to traditional learning approaches. Moreover, students reported high levels of satisfaction, noting that the media was engaging, user-friendly, and capable of visualizing abstract tajwid rules in a clear and accessible manner. In conclusion, integrating AR technology into Islamic education, particularly tajwid learning, holds great potential to improve learning quality while fostering students’ motivation to explore the subject more deeply.

This study aims to analyze the application of deep learning in the transformation of religious moderation education in the digital era and its implications for the development of modern Islamic education. The research employs a qualitative descriptive approach using library research, reviewing literature on Islamic education, religious moderation, and artificial intelligence in learning contexts. Data were collected from academic books, scientific journals, articles, and other credible sources, then analyzed using content analysis to identify patterns, concepts, and relationships between technology and the strengthening of moderation values. The results indicate that the implementation of deep learning can transform Islamic education from a traditional rote-based model to a reflective, contextual, and interactive learning process. This technology enables the analysis of students’ thinking patterns and behaviors, the reinforcement of moderation values, character formation, and the development of moderate digital literacy in a personalized and adaptive manner. The integration of technology and spirituality in digital Islamic education creates transformative learning experiences that strengthen empathy, ethical awareness, and students’ reflective capacities. The study implies the importance of developing curricula, learning strategies, and teacher competencies based on artificial intelligence to produce a generation of students who are moderate, tolerant, and competent in facing the challenges of the digital era.

This research aims to: (1) produce mathematics learning media in the form of interactive e-modules with a learning approach.realistic mathematics education (RME) which is oriented towards numerical ability and mathematical growth mindset students and describe their characteristics; (2) describe the quality of the learning e-module which meets the criteria of being valid, practical and effective so that it is suitable for use by junior high school students using the approach realistic mathematics education (RME). The development model used in this development research is the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation). The research subjects consisted of one teacher and 32 seventh grade students of SMP Negeri 3 Pajangan in Bantul Regency, Yogyakarta, who participated in this research.The results of the study show that the developed e-module has the following main characteristics: (1) using the RME approach in learning strategies; (2) facilitating the improvement of numeracy through learning videos, LKPD, and quizzes; (3) fostering growth mindset through motivational videos, inspirational sentences, discussion spaces, as well as feedback and self-evaluation features; and (4) using test- and questionnaire-based evaluation instruments. Validity tests showed very good results with an average score of 96% from media experts and 98% from material experts. The practicality of the e-module was assessed as very good by teachers (96.19%) and good by students (80.47%), and the implementation of learning reached 96.8%. Effectiveness was proven through MANOVA and t-tests which showed a significant increase in numeracy and mathematical growth mindset after using the e-module. Thus, the RME-based interactive e-module is suitable for use as an innovative mathematics learning medium at the junior high school level.

The integration of blockchain technology with Multi-Agent Reinforcement Learning (MARL) presents a promising solution for optimizing resource allocation and ensuring security in decentralized network environments, particularly in 5G and 6G network slicing. This research proposes a model that combines the security features of blockchain with the adaptive, decentralized decision-making capabilities of MARL. Blockchain ensures the integrity and transparency of resource allocation by providing a secure, tamper-proof ledger for transaction validation, while MARL allows agents to dynamically allocate resources based on real-time network conditions. The simulation results demonstrate significant improvements in resource allocation efficiency, fairness among users, and resilience to cyberattacks. By combining these two technologies, the proposed model overcomes many of the challenges posed by traditional centralized systems and offers an enhanced, secure, and fair solution for resource distribution in future mobile networks. However, scalability remains a challenge, especially in large-scale networks where transaction processing and consensus overhead can create bottlenecks. Additionally, training complexity in MARL models presents computational challenges, particularly in highly dynamic network environments. The model's performance trade-offs, including the balance between high security and system overhead, are also discussed. Future research should focus on optimizing blockchain consensus mechanisms to improve scalability and enhancing MARL model training techniques to reduce computational costs and improve real-time decision-making. This integration holds significant potential for revolutionizing resource allocation in 5G and 6G networks, enabling more efficient, secure, and fair management of network resources in the increasingly complex and decentralized digital ecosystem

This study aims to determine the effect of Problem Based Learning (PBL) and Inquiry learning models on students’critical thinking skills and cognitive learning outcomes on the topic of the human respiratory system. This research used a quasi-experimental design with a Non-Equivalent Pretest-Posttest Control Group Design. The research subjects were three eighth-grade classes at SMP Negeri 13 Lebong, consisting of two experimental classes taught using the PBL and Inquiry models and one control class using conventional methods. The research instruments included essay tests to measure critical thinking and multiple-choice tests to assess cognitive learning outcomes. Data were analyzed using ANOVA and LSD tests. The results showed significant differences among the three groups. The PBL model produced the highest improvement in both variables, followed by Inquiry, and lastly the control group. Therefore, PBL is proven to be the most Effective model inimproving students' critical thinking and cognitive learning outcomes in science education.

Critical thinking ability is one of the important competencies that students must possess in biology learning. This research aims to develop Problem-Based Learning (PBL) Student Worksheets to train students' critical thinking skills in Plant Anatomy courses. This research uses the Research and Development method with a simplified 4-D model consisting of three stages: Define, Design, and Develop. The research subjects were second-semester Biology Education Study Program students at Universitas Muhammadiyah Bengkulu. Research instruments included media and material expert validation sheets, as well as student response questionnaires. Validation was conducted by one media expert and one material expert, then tested on 5 students (limited trial) and 22 students (extensive trial). Validation results showed that the student worksheets received a "very valid" category with 86% from media experts and 88% from material experts. Practicality tests showed "very practical" results with 89% in limited trials and 91% in extensive trials. The developed student worksheets contained contextual problem scenarios, systematic PBL stages, and critical discussion questions that encourage students to analyze, evaluate, and conclude based on empirical data. This research concludes that PBL-based student worksheets are feasible to use as learning media to train students' critical thinking skills in Plant Anatomy courses.

This study aims to analyze the application of SSPBLS (Socio-Scientific Problem based Learning with Spiritual Value) on digestive system materials at SMA Muhammadiyah 1 Sragen for the academic year 2024/2025 and to find out whether this model can improve student learning outcomes. The type of research used is quantitative with experimental design. Data collection was carried out through learning outcome tests, observations, and interviews. Based on the results of the t-test, a significance value (sig.) of 0.22 was obtained, which was more than 0.05, which showed that there was no significant difference between the experimental group using the SSPBLS model and the control group using conventional learning methods. The results of this study show that the application of the SSPBLS model to the digestive system material in terms of final average scores can improve student learning outcomes. These results show that SSPBLS has the potential to improve student understanding through a problem-based approach that connects scientific phenomena with social issues, and its application in the field has met expectations. This research contributes to enriching contextual learning approaches through the application of the SSPBLS model which is proven to improve student learning outcomes by integrating social issues, critical thinking skills, and character values and provides alternative effective learning strategies to improve learning outcomes, with an emphasis on students' active involvement in solving problems based on social issues.

The aim of this research is to determine the assistance of parents using child therapy in regulating emotions when accompanying children to study at home. This research was conducted at the homes of 3 families who had children aged 4-7 years and the parents could not control their emotions when accompanying their children to study at home. The object of this research is parental assistance in the child's learning process at home. The data collection techniques used were observation, interviews and image documentation. The research method using data analysis is an interactive model. The research results showed that by being given Filial Therapy treatment, namely regulatory skills, setting boundaries, attentive listening, and focused play with children for 1 month, the informants were able to carry out Filial Therapy in a flexible and integrated manner. By applying Filial Therapy skills, parents become better able to regulate emotions, namely by reassessing cognitive and expression abilities. The assistance provided by parents is through filial therapy, parents accompany children to play and are directly involved in the game, there must be communication with parents, children are given the freedom to play, so that it will regulate parents' emotions in accompanying children to study at home.

This study examines Azyumardi Azra’s interpretation of Islamization in the Malay-Indonesian Archipelago, highlighting its significance in both historical and contemporary discourse. Using a qualitative library research approach, the analysis draws on Azra’s key works, especially The Ulama Network: Southeast Asia and the Middle East in the Seventeenth and Eighteenth Centuries, and is supported by recent scholarly literature. Azra challenges conventional theories that attribute Islamization mainly to trade, political authority, or intermarriage. Instead, he underscores the central role of ulama networks, the transmission of religious knowledge, and the influence of Sufism. His perspective reveals how intellectual chains connected Southeast Asian scholars to Middle Eastern centers of learning, particularly Mecca and Medina, thus situating Islam in the archipelago as an integral part of global Islamic scholarship. Furthermore, Azra emphasizes the adaptive and dialogical character of Islamization, whereby Islamic teachings were internalized through cultural accommodation, shaping the distinctive identity of Islam Nusantara as moderate, inclusive, and cosmopolitan. The findings suggest that Azra’s framework not only advances historiography but also contributes to contemporary debates on religious moderation and Indonesian Islamic identity. This study concludes that his intellectual model provides a valuable foundation for further research that incorporates social, political, and economic dimensions of Islamization.

This study aims to explain the management of Full Day School in shaping the character of students at SD IT Nurul Fikri Sidoarjo. The research employs a descriptive qualitative method, with data collected through interviews, observations, and documentation. The results show that Full Day School management is implemented through three main stages: planning, implementation, and evaluation. In the planning stage, the school formulates visions, missions, and goals focused on developing students' character values. Organization is carried out by clearly assigning duties and authorities to the principal, teachers, and educational staff so that each party can perform their roles in a directed and coordinated manner. Implementation involves integrating character values into learning activities, religious practices, extracurricular programs, and teacher role modeling. Evaluation is conducted regularly through work meetings to review achievements and identify challenges. Supporting programs for character development include habituation of worship such as congregational prayers and tahfidz, social activities, extracurricular programs, and Character Building Life Skills (CBLS), which instill values of independence, leadership, and responsibility. These activities are designed not only to support students’ daily routines but also to instill moral values applicable in daily life. The active role of teachers, staff, and the school environment significantly contributes to the program’s effectiveness, creating an educational system that balances academic aspects with consistent character development.