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This research is motivated by the urgency of effective Islamic Education Management (MPI) as a prerequisite for enhancing the role of Islamic Education (PAI) teachers in shaping students’ religious character amid the challenges of digitalization and institutional coordination constraints. The purpose of this study is to analyze the implementation of MPI experienced by PAI teachers, the interaction among stakeholders, and the teachers’ perceptions of its effectiveness at PKPPS Minhajurrosyidin, East Jakarta. Using a descriptive qualitative method with a case study and phenomenological approach, data were collected through triangulation (interviews, observations, and document studies) and analyzed using the Miles and Huberman interactive model. The findings indicate that MPI is an essential structural mediating variable. The optimization of MPI—particularly in terms of digital facility support and professional training—significantly enhances the effectiveness of PAI teachers as Uswah Hasanah and as facilitators of adaptive and scientific learning. However, the main obstacle lies in the lack of horizontal coordination among teachers in holistically integrating Values-Based Education. The implications of this study emphasize the need for formal managerial policies to ensure collective responsibility in character formation.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

The digital era demands a fundamental transformation in the role of early childhood educators, shifting from passive technology consumers to active architects of digital literacy. However, the dominance of technocentric views often acts as a substantial psychological and pedagogical barrier for teachers in regional areas. This collaborative community service project aims to reconstruct the paradigm of 50 kindergarten teachers in Bulukumba Regency by integrating "unplugged coding" logic and deep learning into play-based learning. Utilizing a Product-Based Intensive Training method with a "Logic over Laptop" strategy, the program focused on deconstructing technology-related stigmas and reconstructing teachers' ability to transform abstract concepts into safe, concrete media for children. Data analysis revealed a significant shift in teacher paradigms; while the majority were initially in the "less successful" category, 100% of participants reached positive categories (successful and very successful) post-intervention. Statistically, the program's effectiveness was evidenced by a dramatic increase in mean scores from 18.04 to 31.24 (p < 0.05) and an N-Gain score of 0.778, classified as highly effective. Furthermore, the partner satisfaction index reached 4.82 (very satisfied), confirming that the tri-campus collaboration model (STAI Al-Gazali, UNM, and Unismuh) is highly relevant to the implementation of the Merdeka Belajar curriculum. This project concludes that strengthening digital literacy through non-digital algorithmic reasoning effectively dismantles technical barriers for teachers while ensuring the safety of child development in the digital age.

This community service program aims to enhance teachers’ competence in developing Higher Order Thinking Skills (HOTS)-based assessment items to support improved performance in the Computer-Based National Assessment (ANBK) at SMP Negeri Kletek. The main problem faced by the partner school is the limited understanding of teachers in designing assessment instruments that measure higher-order thinking skills, as well as insufficient ability to develop literacy- and numeracy-oriented questions aligned with ANBK characteristics. This condition has resulted in suboptimal learning evaluation quality and limited student readiness for national assessment. The program employed a Participatory Action Research (PAR) approach, emphasizing the active involvement of participants throughout all stages. The implementation included the planning stage through needs assessment and problem identification, the action stage through training and mentoring in HOTS-based item development, the observation stage through evaluation of participants’ work, and the reflection stage to identify achievements and challenges. Data were collected using pre-test and post-test, observation, and reflective discussions. The results indicate an improvement in teachers’ understanding and skills in developing HOTS-based items, as reflected in higher post-test scores. Teachers were able to design competency-based blueprints, contextual stimuli, and analytical, evaluative, and creative questions. This program effectively strengthens teachers’ professional competence and school readiness for ANBK.

The phenomenon of academic procrastination is a serious obstacle in the world of education, manifesting as a deliberate delay in starting or completing school assignments. This behavior leads to a decline in academic achievement and an increase in student anxiety when approaching deadlines. This article aims to examine the effectiveness of time management as a strategy to reduce academic procrastination behavior in students through a comprehensive literature review. The research method employed is library research, using content analysis techniques on scientific journal articles and previous research findings relevant within the last ten years. The research findings indicate a significant negative correlation between time management and academic procrastination, where the ability to prioritize and adhere to schedules effectively can lower the level of task delay. Furthermore, intervention through guidance and counseling services using self-management techniques has proven to be a strategic solution in enhancing student learning independence. The implications of this study emphasize the importance of the role of Guidance and Counseling teachers in integrating time management training into guidance programs to support students' sustainable academic effectiveness.

The rapid advancement of technology has brought significant changes to the field of education, requiring adjustments in the roles and competencies of educators to improve the quality of human resources. The teaching profession is no longer limited to delivering knowledge but also demands the ability to adapt to technological developments, utilize digital tools, and create innovative and relevant learning experiences. This study aims to examine the challenges faced by the education profession in improving the quality of human resources and to identify strategies that can be implemented to address these challenges. This research employs a literature review method by analyzing ten relevant scientific articles using a descriptive qualitative approach. The findings reveal several major challenges, including limited teacher competence and professionalism, constraints in the use of technology, weaknesses in human resource management in education, and the lack of optimal training and professional development programs. In addition, disparities in access and readiness for digital transformation also hinder the improvement of educational quality. The results suggest that improving the quality of human resources through education requires a comprehensive approach, including strengthening teacher competencies, providing continuous professional development, improving educational management, and ensuring adaptive policy support. Therefore, the education profession is expected to play a crucial role as a driving force in producing competent, high-quality human resources who are well prepared to face future challenges.

The effectiveness of public sector organizations in delivering quality services and achieving their mandates depends critically on how they manage their human resources. This study examines the relationship between strategic human resource management (SHRM) practices and organizational performance in Indonesian public sector organizations. Employing a mixed-methods research design, data were collected from 312 public sector managers and HR professionals across 45 government agencies through surveys and 32 in-depth interviews. The research investigates five key SHRM dimensions: strategic recruitment and selection, performance management systems, employee development and training, compensation and rewards, and employee engagement. Findings reveal significant positive relationships between SHRM practices and multiple performance indicators including service quality, operational efficiency, employee productivity, and organizational innovation. Regression analysis demonstrates that SHRM practices collectively explain 47.3% of variance in organizational performance scores. Qualitative data illuminate implementation challenges including limited HR professional capacity, rigid civil service regulations, political interference, and resistance to performance-based management. The study identifies critical success factors such as top management commitment, alignment between HR strategy and organizational strategy, investment in HR analytics capabilities, and cultural transformation toward merit-based practices. Results indicate that high-performing public organizations distinguish themselves through systematic talent management, data-driven HR decision-making, continuous learning cultures, and stronger linkages between individual performance and organizational outcomes. This research contributes empirical evidence on SHRM effectiveness in public sector contexts and provides actionable recommendations for HR practitioners and policymakers seeking to leverage human capital for improved public service delivery.

This study aims to evaluate the impact of leadership education and training on organizational service effectiveness within the Tambrauw Regency Government, Papua. Leadership training is an important instrument in developing the competencies of Civil Servants to enhance leadership capacity, managerial skills, and public service quality. However, its implementation needs evaluation to determine its impact on organizational performance and service effectiveness. This research uses a qualitative approach with descriptive analysis. The analytical framework applied is the Kirkpatrick training evaluation model, covering reaction, learning, behavior, and results. Data collection was conducted through documentation studies, policy analysis, and literature review on civil servant development and public services. The results indicate that leadership training has a positive impact on improving civil servant competencies and service effectiveness. At the reaction level, participants showed high satisfaction with training materials and methods. At the learning level, there was improvement in leadership knowledge and skills. At the behavior level, participants demonstrated more professional work attitudes, better coordination, and improved decision-making. At the results level, training contributed to improved service quality, efficiency, and innovation. However, challenges remain, including limited resources, hierarchical bureaucratic culture, and weak policy support. Therefore, strong local government commitment is needed to enhance training quality and organizational support. This study contributes to public administration research and offers practical insights for policy development.

Drug abuse among adolescents has been increasing, including among youth in Papua. According to data from the National Narcotics Agency (BNN) of Papua Province, there was a 1.73% increase in 2023. One of the contributing factors to adolescent involvement in drug abuse is low self-control. This study aimed to provide self-control training to help prevent drug abuse among adolescents independently. The program involved 37 vocational high school students in Jayapura City and employed a one-group pretest–posttest experimental design without a control group. The intervention consisted of self-control training delivered through lectures, discussions, and a structured learning module. The results indicated a significant improvement in self-control before and after the intervention, as evidenced by a significance value of 0.000 (p < 0.05) using a paired sample t-test, with an increase in the mean pre-test score (M = 46; SD = 7) to the mean post-test score (M = 48; SD = 6). These findings suggest that students of SMK Negeri 9 Jayapura experienced an improvement in self-control after participating in the training. Practically, this study demonstrates that self-control training can serve as an effective psychological intervention to address drug abuse and harmful substance use among adolescents. This intervention not only helps reduce addictive behaviors but also has the potential to enhance students’ quality of life and academic achievement.

The community service activity entitled “Optimization of MSME Financial Management Based on Sharia Economic Principles” aims to enhance financial literacy and management capacity of micro, small, and medium enterprises (MSMEs) in Bekasi Regency in a sustainable manner. This program is designed to address the practical needs of business actors in managing their finances in an orderly, transparent manner and in accordance with Sharia values. Through a participatory training approach and action-based mentoring, a total of eight MSME participants took part in a series of activities, including basic financial recording training, simulations of Sharia-based financial statement preparation, as well as an introduction to various halal financing alternatives and the utilization of Sharia fintech. The results of the activity indicate a significant increase in participants’ understanding of Sharia financial concepts, rising from 45% to 85%, along with improved skills in preparing financial statements in accordance with Sharia principles. In addition, this program also generated positive social changes, marked by the establishment of the “Bekasi Berdaya Sharia MSME Group” as a platform for collective learning, business collaboration, and network strengthening. These findings demonstrate that the application of Sharia financial principles in community empowerment programs can strengthen economic resilience while fostering ethical, transparent, and value-driven business practices.

This research aims to describe the implementation of the Pancasila Student Profile Strengthening Project (P5) in shaping student character at SD Negeri 160 Palembang. As a core component of the Independent Curriculum (Kurikulum Merdeka), P5 is designed to reinforce the fundamental values of Pancasila in students.This study employs a qualitative case study method. Data were collected through direct observation, in-depth interviews, and documentation involving the principal, vice-principal of curriculum, classroom teachers, students, and parents. The results indicate that P5 implementation is carried out through three systematic stages: planning (team formation and theme selection), execution (applying experiential learning that encourages collaboration), and assessment. The three primary values emphasized are faith and morality, respecting differences, and togetherness. Despite challenges such as time constraints, synchronization of materials across subjects, and the need for teacher training, the study concludes that P5 is an effective instrument for character education. To optimize results, it is recommended to enhance program monitoring and align the conceptual understanding of P5 among educators. Overall, SD Negeri 160 Palembang has demonstrated a serious commitment to integrating P5 as a means of positive character building.

The Community Partnership Program (PKM) aims to improve the capacity of teachers at Rara Elementary School in understanding and implementing the National Assessment as an educational evaluation tool. The problems faced by partners are limited understanding of the concept of National Assessment and technical skills in managing instruments, analyzing data, and following up on assessment results. The methods used in this activity are participatory-based socialization and technical training involving teachers as active participants. Activities are carried out through material delivery, interactive discussions, and hands-on practice using assessment tools. The results of the activity showed an increase in teachers' knowledge and skills in understanding the National Assessment indicators, developing learning strategies in line with the Pancasila learner profile, and optimizing the use of assessment results to improve the quality of learning in the classroom. Thus, this PKM activity contributed to improving the quality of learning at Rara Elementary School while supporting the achievement of national education standards.

This research benchmarks multiple machine learning (ML) algorithms for large-scale loan default prediction using a real-world dataset of 255,000 borrower records, where default cases represent only ~9–12% of total observations. The study addresses the persistent gap in comparative analyses of ML models that balance predictive accuracy, interpretability, and computational efficiency for credit risk assessment. Six algorithmic families were evaluated Logistic Regression, Random Forest, XGBoost, LightGBM, CatBoost, Artificial Neural Networks (ANN), and Stacked Ensemble—using standardized preprocessing, hybrid imbalance handling (SMOTE, class weighting, under-sampling), and comprehensive evaluation metrics (AUC, F1, Recall, Precision, PR-AUC, and Brier Score). Empirical results show Logistic Regression achieved the highest AUC of 0.732, outperforming nonlinear models under the baseline configuration, while LightGBM attained perfect recall (1.0) but low precision (0.116), indicating over-prediction of defaults. Gradient boosting models demonstrated robust calibration (Brier ≈ 0.114–0.116) and the best computational efficiency, with LightGBM showing the fastest training and lowest memory use. CatBoost exhibited strong recall but the slowest computation, and ANN underperformed on tabular data (AUC ≈ 0.56). The Stacked Ensemble delivered balanced results with AUC = 0.664 and improved overall stability. These findings confirm that boosting-based models, particularly LightGBM and CatBoost, offer superior scalability and calibration, whereas Logistic Regression remains a valuable interpretable baseline. The study concludes that effective default prediction requires integrating rebalancing, calibration, and threshold optimization to enhance recall and operational deployment reliability in large-scale credit ecosystems.

The "Educating Social Awareness Creativity Through Craft Skills and Social Service Programs at the Karya Kasih Nursing Home" activity is part of a community service program implemented by lecturers and students at Budi Luhur University. This activity aims to provide moral and social support to the elderly through educational and social activities. The program includes craft skills training, providing basic food assistance, and entertainment activities involving lecturers, students, and nursing home residents. The activity implementation method uses a participatory approach, where students interact directly with the elderly for two weeks. This approach is designed to create positive social relationships, increase emotional engagement, and provide contextual learning experiences for students. The results of the activity indicate that this program has a positive impact on the elderly, particularly in increasing happiness, social interaction, and creative activities. In addition, this activity also contributes to the development of students' soft skills, especially in terms of social empathy, intergenerational communication, and social awareness. Thus, this community service program not only provides benefits for the elderly as recipients of the program

Teachers’ managerial competence plays a crucial role in ensuring effective and relevant learning, particularly in vocational education. Teachers are required not only to master subject matter but also to plan, manage, and evaluate learning through well-structured and contextual learning tools. This Community Service activity aimed to strengthen teachers’ managerial competence through training on the development of learning tools using a deep learning approach at SMK Muhammadiyah 2 Tangerang Selatan. The implementation method included conceptual material delivery, practical training, and mentoring in designing learning tools. The deep learning approach was applied to encourage learning designs that emphasize deep understanding, critical and reflective thinking, and alignment with workplace demands. The results showed an improvement in teachers’ understanding and skills in developing more systematic, innovative, and adaptive learning tools aligned with 21st-century competencies. This activity contributed positively to strengthening teachers’ roles as learning managers and supporting the improvement of learning quality in vocational schools.

Healthcare organizations are increasingly required to preserve the sustainability of their institutional values by ensuring high-quality services, operational efficiency, and rigorous adherence to risk governance frameworks. RSUD dr. Chasbullah Abdulmadjid Bekasi City continues to face considerable challenges in this regard, particularly due to the limited internalization of core organizational values, disparities in the cultivation of an adaptive culture, and inconsistent employee compliance with established risk management procedures. These issues highlight the necessity for a leadership paradigm grounded in service, empathy, and empowerment.This study investigates the extent to which servant leadership influences the creation and protection of corporate values, while examining the mediating roles of strong adaptive culture and employee compliance doing the implementation of risk management. Employing a quantitative explanatory survey design, the research collected responses from 153 hospital employees, and data were analyzed through Structural Equation Modeling (SEM) to evaluate both direct and mediated causal pathways among variables.The findings reveal that servant leadership significantly strengthens creation and protection of corporate values, not only through direct influence but also by enhancing cultural adaptability and reinforcing compliant behavior in risk-related practices. Leaders who embody service-oriented principles are shown to cultivate work environments that foster mutual trust, organizational learning, and value-based decision-making.This study contributes meaningful empirical evidence to the discourse on leadership, organizational culture, and compliance within public hospital settings. Institutional strategies should prioritize continuous leadership development and comprehensive risk governance training to secure long-term performance excellence and reputational resilience.

This study examines inclusive education for children with emotional and behavioral disorders (EBD), who often experience significant challenges in social interaction and academic adaptation. The primary objective is to evaluate existing educational approaches and strategies implemented in Indonesia, while also identifying gaps in current research and practice. This study employs a literature review method, analyzing 20 relevant scientific articles to synthesize key findings and trends. The results indicate that structured approaches such as Positive Behavioral Interventions and Supports (PBIS) and Social-Emotional Learning (SEL) have proven effective in improving students’ behavioral outcomes, emotional regulation, and academic performance. These approaches emphasize proactive strategies, skill development, and supportive learning environments. However, several persistent challenges hinder optimal implementation, including limited teacher knowledge and training in inclusive practices, insufficient institutional support, and a lack of access to professional psychological services. Additionally, inconsistencies in policy implementation across regions contribute to unequal educational experiences for children with EBD. Based on these findings, the study highlights the importance of strengthening teacher capacity through continuous professional development and increasing access to multidisciplinary support systems. Furthermore, effective collaboration among teachers, parents, schools, and the wider community is essential to foster inclusive, adaptive, and responsive educational environments that can meet the diverse needs of all learners.

This article discusses an experiential training program that integrates three main pillars for students of Parung Panjang Vocational High School (SMK) in Tangerang: optimizing digital platforms as modern marketplaces, developing innovative product packaging to strengthen sales performance, and applying ethical and legal principles in digital business activities. The program is designed to prepare vocational students to become competent, creative, adaptive, and responsible young entrepreneurs in the digital economy. The implementation methods include project-based learning, workshops, seminars, product simulation, mentoring, and intensive practice in using online marketing media. Students are guided to identify market opportunities, design attractive packaging, promote products through digital channels, and understand consumer protection, intellectual property, and honest transaction practices. The expected outcomes include increased digital literacy, improved packaging design skills, stronger entrepreneurial motivation, and better awareness of business ethics and legal compliance. Overall, this program provides practical learning experiences that connect school-based entrepreneurship education with the demands of the contemporary business and industrial environment. It also encourages collaboration among teachers, students, and local business partners for sustainable vocational development in line with future workforce and innovation needs.

Effective communication through the SBAR (Situation, Background, Assessment, Recommendation) method is a crucial component in improving patient safety and the quality of nursing care. However, nursing students often fail to systematically implement SBAR communication during clinical practice. This community service project aims to improve students' SBAR communication competency through mentoring-based training with an experiential learning approach at RSU Haji Medan. The method used was a pretest–posttest design without a control group involving 15 nursing students. The intervention was carried out through the stages of reinforcing the SBAR concept, direct mentoring in the treatment room, and observation- and reflection-based evaluation. Competency was measured using an observation sheet covering the aspects of Situation, Background, Assessment, Recommendation, communication clarity, and self-confidence. The results showed an increase in the average score from 65.6 in the pretest to 83.8 in the posttest, with an average increase of 18.2 points and all participants experienced an increase (100%). These findings indicate that experiential learning-based mentoring is effective in improving students' SBAR communication competency. In addition to improving individual skills, this program also contributes to building a culture of professional communication and supporting patient safety in the hospital environment