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This community service program aims to improve the basic accounting literacy of the students (santri) at Pondok Pesantren Nurmadani NW Montong Lisung as a strategic effort to strengthen their financial independence. The program was initiated in response to the limited understanding of systematic financial management among santri, despite their involvement in various economic activities within the pesantren, such as the cooperative, canteen, and student organizations. The activities were carried out through four main stages: needs assessment, socialization of basic accounting concepts, financial record-keeping training, and evaluation accompanied by follow-up assistance. Interactive learning methods and experiential learning approaches were applied to ensure that participants not only understood theoretical concepts but were also able to practice them directly. The results showed a significant increase in the santris’ knowledge of the basic accounting equation, general journal, ledger posting, and preparation of simple financial statements. In addition to improved knowledge, there was also a positive shift in attitudes toward the importance of transparency, accountability, and sound financial governance. Several pesantren units began implementing the financial recording formats introduced during the training. Overall, this program successfully enhanced the technical skills and financial awareness of the santri and contributed to strengthening the pesantren’s financial management practices in a more professional and sustainable manner.

This study aims to develop a web-based Virtual Assistant to improve the efficiency of academic information services at SMA Negeri 1 Parittiga. The research was motivated by the delays and inaccuracies in information delivery caused by the manual system still used in the school. The system development was carried out using the Research and Development approach with the Waterfall model, which includes the stages of needs analysis, design, implementation, and evaluation. The main technologies used are Natural Language Processing (NLP) and the Long Short-Term Memory (LSTM) machine learning algorithm, which allow the assistant to understand and respond to user questions in natural language in a contextual way. The system architecture uses Flask as the backend, Vue.js as the frontend, and Laravel for administrative data management. The testing results show that the system has an accuracy level of 88.4% in providing correct answers and a user satisfaction level of 92%, surpassing the target success rate of 80%. These findings prove that integrating NLP and LSTM can enhance the system's ability to understand conversational context and speed up the distribution of academic information. The study concludes that a web-based Virtual Assistant is an effective solution for the digitalization of school information services and has the potential to support the implementation of artificial intelligence technology in secondary education in Indonesia.

The quality of education is a crucial issue in human resource development, because the quality of educational services has a direct impact on learning outcomes, the relevance of graduates, and the competitiveness of the nation. However, the implementation of quality management in educational institutions still faces challenges in conceptual, strategic, and practical aspects. This article aims to answer the research question: how are the basic concepts of educational quality understood and implemented in the context of educational management in Indonesia? The method used is a literature review with a qualitative approach. Data were obtained from scientific articles sourced from Google Scholar and Publish or Perish with the keyword “basic concepts of quality.” Of the 22 articles found in the 2021–2025 range, five articles were selected through a screening and validation process for further analysis. The results of the study show three main themes. First, educational quality is understood as a quality standard that encompasses effectiveness, efficiency, and student satisfaction. Second, quality improvement strategies emphasize the role of Total Quality Management (TQM) and school-based management (SBM) involving all elements of educational institutions. Third, quality implementation is realized through academic management, learning quality, and a continuous monitoring system. The conclusion shows that education quality management is an integrated process, not only focusing on results but also on continuous improvement. Further research is recommended to expand the focus on the integration of digitalization in education quality monitoring.  

Private Islamic Religious Colleges (PTKIS) play a strategic role in developing superior human resources with Islamic character. However, in practice, many PTKIS face challenges in meeting higher education quality standards and achieving optimal accreditation. Accreditation assistance based on Outcome-Based Education (OBE) and quality digitization are innovative solutions to improve the effectiveness of education quality management. OBE emphasizes the importance of learning outcomes integrated into the curriculum, learning process, and assessments that are measurable and relevant to the needs of the workplace. Meanwhile, quality digitization supports the efficient, transparent, and real-time management of academic data, forms, and accreditation reporting. Through the integration of these two approaches, PTKIS can improve accountability, accelerate the accreditation process, and ensure the achievement of sustainable quality standards. This article discusses the strategy of OBE-based accreditation assistance and quality digitization at the Tanggamus Islamic Education College, Lampung Province, highlighting the implementation process, obstacles encountered, and solution steps that can be applied to strengthen the PTKIS's internal quality assurance system.

This study aims to explore collaborative management between local governments, educational institutions, and communities in improving the quality of basic education in Sidoarjo Regency. The background of this research stems from the increasing need for an adaptive, participatory, and sustainable education system in the era of decentralization, where intersectoral collaboration is key to realizing quality and equitable education. Sidoarjo Regency, as a region with rapid economic and social growth, faces obstacles in the distribution of quality basic education, particularly related to community participation, policy collaboration, and human resource capacity building at the school level. This study applies a qualitative approach through a case study method, involving resource persons from the Sidoarjo Regency Education Office, principals, teachers, school committees, and the education community. Data collection was conducted through in-depth interviews, participant observation, and analysis of regional education policy documents. Research findings indicate that collaboration between various actors has successfully improved education quality through community-based learning mentoring programs, teacher training, and innovative policies in school management. However, the implementation of collaboration continues to face obstacles such as lack of coordination between agencies, budget constraints, and ineffective joint program evaluation. The study concludes that successful collaborative management requires shared commitment, transparent communication, and ongoing policy support. Research recommendations emphasize the importance of enhancing intersectoral collaboration capacity, local education dialogue forums, and performance-based evaluation systems to maintain the sustainability of basic education quality in Sidoarjo Regency.

Digital transformation in higher education demands the sustainable use of Learning Management Systems (LMS). However, most previous studies have predominantly focused on cognitive aspects such as perceived usefulness and user satisfaction, overlooking the motivational dimensions that drive long-term engagement. This study aims to explore how System-Provided Autonomy Support (S-PAS)—the degree of autonomy support embedded within the system—shapes users’ continuance intention to use LMS through psychological need satisfaction and autonomous motivation. Employing an exploratory qualitative approach, data were collected through in-depth interviews, focus group discussions (FGDs), task-based observations, and critical discourse analysis of institutional policies and system micro-copies across several universities under the coordination of LLDIKTI Region IX Sultanbatara. Thematic analysis revealed that users’ experiences with LMS are influenced by five key dimensions of S-PAS: meaningful choice, rationale provision, non-controlling language, emotional validation, and informational feedback. When the system and policies offer flexibility, empathetic communication, and clear rationales behind instructions, users exhibit higher levels of autonomous motivation and stronger commitment to LMS continuance. Conversely, administrative rigidity, technostress, and opaque surveillance practices undermine psychological need satisfaction and weaken users’ continuance intention. The study extends the application of Self-Determination Theory (SDT) to educational technology by introducing S-PAS as a conceptual framework that bridges system design and user motivation. Practically, the findings offer strategic guidance for policymakers and developers to design LMS environments that are more autonomy-supportive, human-centered, and sustainable. Future research is encouraged to quantitatively validate the S-PAS model across diverse institutional and cultural contexts to enhance the generalizability and theoretical robustness of these findings.

This study aims to identify the inhibiting and supporting factors in the implementation of academic supervision by school principals using a SWOT analysis approach based on a literature review. Through a systematic literature review of various research sources related to academic supervision and communication in educational management, it was found that strengths such as principal competence, structured supervision with effective communication between principals and teachers, and facility support are the main assets for successful supervision. Meanwhile, weaknesses such as time constraints, limited resources, and a lack of innovation in supervision and communication approaches remain challenges. Opportunities arise from supportive education policies, technological advances that can strengthen internal communication, and the role of active learning communities in sharing information and collaboration. However, threats such as dynamic policy changes and resistance to change require adaptive supervision strategies, open communication, and collaboration in order to optimize academic supervision. The results of this study provide an overview of strategies for school principals and policy makers to optimize academic supervision through effective communication approaches in order to improve teacher professionalism and the quality of learning in schools.

This study aims to examine the role and strategies of educational management amidst global dynamics and the development of information technology. The method used is a qualitative approach through literature review of various relevant scientific sources, focusing on the development of educational management in the digital era. The results show that 21st-century educational management must be innovative, flexible, and technology-based. Additionally, strengthening 4C competencies (critical thinking, creativity, collaboration, and communication) is a key focus in the development of adaptive and effective learning systems. The role of technology in education is not only as a tool but also as an integral part of modern educational governance, supporting both the learning process and the overall management of education. Key challenges faced include the readiness of human resources, the equal distribution of technological infrastructure, and the digital divide between regions and social groups. Therefore, adaptive and visionary managerial strategies are essential to creating an excellent and sustainable educational system. The implementation of policies supporting the integration of technology into education and the development of competencies for educators is a crucial step to ensure the achievement of inclusive and quality education. This study is expected to serve as a reference in the development of sustainable educational management policies and practices, as well as enhance the quality of education in the digital era.

This research aims to design and build an Internet of Things (IoT)-based electrical energy monitoring system on a Darrieus turbine prototype to optimize energy yield. This research using the Research and Development or RnD method, this method was chosen by researchers because it can provide solutions, enable the development and application of more effective learning methods. The system uses NodeMCU ESP32 sensors to measure important parameters such as voltage, current, power, and energy produced by the turbine. The collected data is then analyzed and visualized through IoT platforms such as ThingsBoard, which allows real- time monitoring of the turbine's performance. The integration of IoT in this system is expected to improve energy use efficiency by providing useful information for management and decision-making in turbine operations. This research also fills the gap in Darrieus turbine development with an approach that combines IoT-based monitoring and energy yield optimization, and can be applied to improve the efficiency of renewable energy in Indonesia

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.

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

Increasing competition in the food industry requires companies to not only focus on product innovation and market expansion but also on strengthening internal human resource capabilities through long-term strategies. PT. Surya Pratista Hutama addresses this challenge by implementing a Talent Management Sistem (TMS) designed to identify, develop, and retain high-potential employees (HiPos), while simultaneously ensuring sustainable leadership development and succession planning. This study employed a qualitative case study approach by utilizing observations, in-depth interviews, and a paper review to obtain comprehensive insights into the company’s practices. The findings reveal that the identification of HiPos is carried out through a rigorous and consistent process using the 9-box grid as a key assessment tool. The emphasis on consistency in evaluation highlights the organization’s effort to ensure fairness and accuracy. Employee development is facilitated through multiple strategies, including formal training, mentoring programs, job rotation, and other structured learning initiatives. Retention strategies focus on providing competitive compensation packages, developing financial literacy skills, and fostering a collaborative organizational culture that values employee contributions. The implementation of TMS at PT. Surya Pratista Hutama has shown positive impacts, particularly in reducing employee turnover rates and improving leadership performance. However, the study also identifies several challenges, especially related to the need for clearer procedural guidelines and more specific development strategies to optimize outcomes. Overall, this research demonstrates that a well-structured TMS can serve as an effective mechanism for building sustainable human resource capabilities in highly competitive industries such as food manufacturing.

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.

Artificial Intelligence (AI) has increasingly shaped the digital transformation of higher education, particularly through its integration with Learning Management Systems (LMS). Features such as intelligent tutoring, predictive analytics, plagiarism detection, and automated grading are reshaping teaching and learning. However, questions remain regarding the readiness of higher education institutions and the acceptance among lecturers and students. This paper presents a Systematic Literature Review (SLR) of studies published between 2020 and 2025, focusing on readiness and acceptance of AI in LMS. Guided by the PRISMA framework, 220 records were identified, 85 screened, 40 assessed for eligibility, and 20 included in the final analysis. Findings highlight that readiness is largely influenced by infrastructure, digital literacy, and institutional policy, while acceptance is shaped by perceived usefulness, ease of use, trust, and behavioural intention. Although challenges such as ethics, cost, and privacy concerns persist, opportunities exist in the form of personalized learning and intelligent decision-making. The review concludes that while AI adoption in LMS is progressing globally, developing contexts such as Malaysian polytechnics require further research and targeted interventions to enhance both readiness and acceptance.

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.

This research aims to develop a web-based e-learning application at Sekolah Dasar Masehi Tanggaba by applying the Waterfall software development model. The background of this study stems from the need for interactive, flexible, and easily accessible learning media in the digital era, considering that conventional face-to-face methods are still predominantly used in schools. The Waterfall model was chosen because it provides a systematic workflow through the stages of requirements analysis, system design, implementation, testing, and maintenance. Data collection was carried out through observations, teacher interviews, and documentation studies to identify the actual needs of users.The results of this study produced an e-learning application with key features, including learning material management, interactive quizzes, discussion forums, and automated assessment. Teachers can upload structured materials and assignments, while students can access learning content, complete exercises, and interact through forums more flexibly. System testing was conducted using the black box method to ensure that each function runs according to user requirements and specifications. Based on the testing results, the application was proven to function properly, be practical to use, and effective in supporting the learning process. Teachers found it helpful in managing materials and assignments, while students experienced more independent and interactive learning that was not limited to the classroom. Therefore, the developed e-learning application can be considered valid, practical, and effective as a supporting learning medium in elementary schools and has the potential to improve learning quality in the digital era.

The integration of Internet of Things (IoT) with cloud computing has revolutionized healthcare systems, offering scalable and real-time patient monitoring. However, optimizing response times and energy consumption remains crucial for efficient healthcare delivery. This research evaluates various algorithmic approaches for workload migration and resource management within IoT cloud-based healthcare systems. The performance of the implemented algorithm in this research, Hybrid Dynamic Programming and Long Short-Term Memory (Hybrid DP+LSTM), was analyzed against other six key algorithms, namely Gradient Optimization with Back Propagation to Input (GOBI), Deep Reinforcement Learning (DRL), improved GOBI (GOBI2), Predictive Offloading for Network Devices (POND), Mixed Integer Linear Programming (MILP), and Genetic Algorithm (GA) based on their average response time and energy consumption. Hybrid DP+LSTM achieves the lowest response time (82.91ms) with an energy consumption of 2,835,048 joules per container. The outcome of the analysis showed that Hybrid DP+LSTM have significant response times improvement, with percentage increases of 89.3%, 79.0%, 83.8%, 97.0%, 99.8%, and 99.94% against GOBI, GOBI2, DRL, POND, MILP, and GA, respectively. In terms of energy consumption, Hybrid DP+LSTM outperforms other approaches, with GOBI2 (3,664,337 joules) consuming 29.3% more energy, DRL (2,973,238 joules) consuming 4.9% more, GOBI (4,463,010 joules) consuming 57.4% more, POND (3,310,966 joules) consuming 16.8% more, MILP (3,005,498 joules) consuming 6.0% more, and the GA (3,959,935 joules) consuming 39.7% more. The result of ablation of the Hybrid DP+LSTM model achieves a 47.05% improvement over DP-only (156.57ms) and a 70.64% improvement over LSTM-only (282.41ms) in response time. On the energy efficiency side, Hybrid DP+LSTM shows 22.80% improvement over LSTM-only (3,671,51 joules), but 7.34% underperformance compared to DP-only (2,640,93). These research findings indicate that the Hybrid DP+LSTM technique provides the best trade-off between response time and energy efficiency. Future research should further explore hybrid approaches to optimize these metrics in IoT cloud-based healthcare systems.

This community service program was implemented to overcome the limited technical capacity of teachers and students at SMK Negeri Jambu in mastering the installation and programming of battery-based electric vehicles, which is a crucial skill in preparing competent human resources for the rapidly evolving green vehicle industry. The program specifically aimed to enhance participants’ knowledge and skills in several key areas, including the installation of electric motor control systems, management of battery energy, and maintenance of essential electric vehicle components. To achieve these goals, the activities were carried out using a blended method that integrated lectures, demonstrations, and direct hands-on practice, supported by continuous mentoring and systematic evaluation. In addition, QR Code–based learning resources were incorporated to provide participants with quick and efficient access to digital instructional materials, allowing for more flexible and independent learning. The evaluation results revealed significant progress in both the theoretical understanding and practical abilities of the participants. They were able to demonstrate improvements not only in operating and maintaining electric vehicle systems but also in identifying problems and performing troubleshooting independently. These findings suggest that the program effectively contributed to building sustainable competencies for teachers and students, equipping them with relevant skills aligned with the needs of the green automotive industry, while also promoting technological adaptation and innovation in vocational education.

Indonesian EFL senior high school students. Traditional EFL instruction often emphasizes lower-order cognitive skills, limiting students' ability to analyze, evaluate, and create in English. This research explored student experiences with PBL and its impact on HOTS development. Semi-structured interviews were conducted with five 11th-grade students participating in environmental-themed PBL activities. Thematic analysis identified patterns in student experiences and perceptions. Findings reveal that students perceive PBL as significantly more engaging than traditional instruction, fostering enhanced motivation, deeper understanding, and collaborative competencies. Students demonstrated active engagement in higher-order cognitive processes through research activities, critical discussions, and creative project development. Collaborative dimensions particularly enhanced analytical and evaluative thinking as students examined diverse perspectives. Implementation challenges emerged, including time management difficulties, group dynamics issues, resource limitations, and presentation anxiety. These challenges highlight PBL's complexity and the need for comprehensive support systems. The study concludes that while PBL effectively promotes HOTS development in EFL contexts, successful implementation requires systematic support, including project management instruction, collaborative skills development, adequate technological resources, and continuous professional development for educators.  

This study examines the application of systems thinking in modern healthcare organizations, with a particular focus on Peter Senge’s Fifth Discipline. Using a systematic literature review of 20 selected articles, the study investigates the potential and challenges of applying systems thinking across key areas such as patient safety, service integration, resource management, and innovation. Findings indicate that systems thinking provides a holistic framework to better understand and address the inherent complexity of healthcare systems. By fostering interconnections among organizational components, it enhances the capacity to improve performance, ensure patient-centered care, and support sustainable change. Nevertheless, implementation is hindered by obstacles such as resistance to change, lack of shared understanding, and difficulties in measuring systemic outcomes. To address these barriers, the study highlights strategies including leadership development, staff training, and the establishment of appropriate evaluation tools. These measures strengthen organizational readiness and support a culture of continuous learning. The study concludes that systems thinking offers valuable insights for healthcare organizations to adapt to evolving challenges, but its success requires long-term commitment, supportive leadership, and systematic implementation. Future research should further explore the integration of systems thinking with emerging digital health technologies and assess its long-term impact on health outcomes and organizational resilience.