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Hospitals must be able to adapt quickly and develop the right strategy to survive, to become a large and strong hospital is one of them by carrying out an acquisition strategy. However, the post-acquisition integration phase process is the most critical stage that often makes the industry fail in managing human resources and can cause employee anxiety to employee resistance. This research aims to analyze the influence of organizational identification and transformational leadership on employee identification and willingness to collaborate, as well as employee identification on willingness to collaborate in the post-acquisition integration phase at Grand Family Hospital. This research is quantitative correlation research. The population is all 127 nurses who work at Grand Family Hospital. The sampling method was random sampling and 127 respondents were used. Data collection used a questionnaire with analysis techniques using path analysis. The research results show that organizational identification and transformational leadership partially influence employee identification and the willingness to collaborate, and employee identification influences the willingness to collaborate. Simultaneously, organizational identification, transformational leadership, and employee identification influence the willingness to collaborate. Hospitals need to pay attention to the relationship between organizational identification, transformational leadership, and employee identification simultaneously. Integrating strategies and policies that strengthen these three aspects together can create a work environment that supports and motivates employees to work together effectively. Organizational identification, transformational leadership and Worker Identification have a significant effect on the willingness to cooperate in the post-integration phase of the acquisition.

This study explores the outcomes of inclusive education policies for students with disabilities in Indonesian public schools. The study analyzed data from schools implementing inclusion programs and conducted interviews with students, teachers, and administrators. Findings indicate improvements in social integration but also highlight ongoing challenges in resource allocation and teacher preparedness. Recommendations for policymakers include strengthening teacher training, increasing resources, and improving monitoring mechanisms to support effective inclusive education practices.

This systematic literature review examines the evolving role of Quality Engineering (QE) in optimizing production processes within Industry 4.0 contexts. By analyzing 78 peer-reviewed studies (2010–2025), the research identifies critical shifts in QE methodologies, emphasizing integration with artificial intelligence (AI), machine learning (ML), and real-time digital twin technologies. Key findings reveal enhanced robustness through adaptive optimization algorithms (e.g., Bayesian optimization, NSGA-II), improved defect prediction via AI-driven quality control systems, and streamlined process interoperability through Manufacturing Execution Systems (MES) and Quality 4.0 frameworks. The study underscores digital integration as a catalyst for reducing variability, accelerating decision-making, and aligning quality management with Industry 4.0’s demands for agility and interconnected systems. Recommendations include adopting hybrid methodologies combining classical Six Sigma with ML-driven analytics and investing in workforce training for digital QMS adoption.

This study analyzes and optimizes production systems in the Industry 4.0 context, examining the fundamental shift from centralized, push-based production models to decentralized, adaptive, pull-based approaches. The research employs a mixed-method approach combining comprehensive literature review and multiple case studies across manufacturing sectors. Findings reveal that integration of Internet of Things (IoT), cyber-physical systems, artificial intelligence, and big data analytics enables real-time communication between production components, product personalization, and faster decision-making. Despite significant benefits in efficiency, flexibility, and competitiveness, implementation challenges persist, including high initial investment, employee resistance, technical expertise limitations, and integration complexity. Optimization approaches such as mixed-integer linear programming, digitally-integrated Lean Six Sigma, and digital twin simulations effectively enhance performance indicators including flexibility, reliability, and energy efficiency. The study concludes that successful production system transformation requires an integrated strategy encompassing process engineering, digital competency development, change management, and continuous evaluation to ensure sustainable optimization in the digital era

Applying ergonomic principles in work tool design for manufacturing industries is a crucial factor in improving productivity while maintaining worker health. This research aims to analyze the effectiveness of adaptive work tool design models based on cognitive and physiological ergonomic principles, identify interaction patterns between workstation design and operational performance, and develop a conceptual framework for integrating ergonomic principles into production cycles. The research method adopts a cognitive-physiological approach with qualitative analysis of human-machine interactions, biomechanical simulations using digital human modeling, and muscle load measurements through electromyography. Implementation was conducted using a participatory ergonomics approach and IMU sensor-based real-time monitoring systems. Results show that using materials with controlled deformation capabilities (15-20%) in work tools reduces muscle work by up to 27%, while adaptive automation system integration improves assembly accuracy by 18%. Workstations with ergonomic adjustments increase assembly speed by an average of 12%, and low-cost ergonomic interventions effectively improve productivity by 11-15% in resource-limited environments. Longitudinal analysis reveals that evidence-based ergonomic investments yield a 230% ROI through increased productivity, reduced injury compensation costs, and decreased employee turnover. IMU-based posture monitoring systems integrated with adaptive feedback loops reduced musculoskeletal disorder incidents by up to 41%. In conclusion, ergonomic optimization based on cognitive-physiological principles creates synergy between production efficiency and worker well-being, making it an essential component in achieving sustainable productivity.

Urban workers are increasingly vulnerable to heat stress due to rising global temperatures, especially in cities affected by the Urban Heat Island (UHI) effect. This heat stress poses significant risks to worker health and productivity, exacerbating health issues such as dehydration, heat exhaustion, and heat stroke, while also reducing work efficiency. The study aims to assess the effectiveness of green rooftop designs as a mitigation strategy for heat stress in urban workplace environments. Green rooftops are increasingly seen as a sustainable solution for urban heat management, offering benefits in temperature regulation, energy efficiency, and overall worker well-being. This study examines various heat stress mitigation strategies, including green roofs, industrial fans, and shading systems, focusing on their comparative effectiveness in reducing temperatures and improving worker comfort. The research involved environmental temperature measurements inside and outside urban workplaces, the use of wearable heat sensors to monitor workers’ heat stress levels, and building energy simulations to predict the impact of green rooftops on indoor climate control. Results indicate that green rooftops reduced workplace temperatures by an average of 3.8°C and decreased heat-stress-related complaints by 35%. In comparison to industrial fans and shading systems, green rooftops provided superior long-term relief, reducing heat stress and improving both worker productivity and environmental quality. The findings support the integration of green rooftops into urban workplace designs as a viable climate adaptation strategy. Future research should explore optimizing green rooftop designs for different climates and assessing their long-term benefits for worker health and urban resilience.

This study explores the integration of green practices into nursing protocols as a means of reducing the environmental impact of hospital care. Hospitals significantly contribute to global carbon emissions, and nursing practices are integral to healthcare operations, yet they often lack sustainability considerations. The aim of this research was to develop and implement a set of green-practice guidelines tailored for nursing staff to minimize carbon emissions and improve operational efficiency. Through collaboration with environmental experts, nursing staff, and hospital management, new guidelines were established focusing on waste reduction, energy-efficient practices, and sustainable procurement. A waste-audit assessment was conducted to analyze current waste management practices, while a pilot implementation was carried out in selected hospital wards. The results revealed an 18% reduction in carbon emissions following the integration of these green practices into daily nursing activities. Key contributors to this reduction included waste segregation, the use of reusable medical supplies, and energy conservation measures such as optimizing lighting and HVAC systems. However, challenges such as resistance to change, resource limitations, and the need for specialized training were identified during the pilot phase. Despite these barriers, the research highlights the significant potential for nurses to lead sustainability efforts in healthcare settings. The findings indicate that integrating green practices into nursing protocols can provide environmental, operational, and economic benefits, ultimately contributing to more sustainable healthcare systems. Future research should refine these protocols, explore their broader application, and assess long-term outcomes across various healthcare settings

The employment crisis of higher education graduates, the low relevance of the curriculum, and the need for community empowerment encourage the importance of transforming social education based on values ​​and local contexts. This study aims to explore the integration of the sociopreneurship approach in social welfare education in Indonesia, especially in State Islamic Universities (PTKIN). Using an explorative-critical literature study method, this study examines the theoretical framework, international curriculum practices, and recommends a contextual curriculum model based on Islamic values ​​and community empowerment. The results show that the sociopreneurship curriculum can increase active student participation, strengthen social character, and create sustainable solutions to welfare challenges. The integration of Islamic values ​​such as justice, maslahat, and social responsibility is an important moral foundation in the development of this curriculum. This study recommends designing a project-based curriculum, multi-sector involvement, and support for higher education policies as prerequisites for implementing the model systematically.    

This study aims to evaluate the effectiveness of English textbooks for special purposes, particularly in the context of learning English for education. The content analysis method was used to evaluate the textbook with a focus on its purpose, content, methodology, and practical aspects. The results of the analysis showed strengths in purpose, approach, design and organization, as well as language aspects such as vocabulary and grammar. However, there were weaknesses in content coverage and integration of important components such as grammar and pronunciation. The implication is that this study emphasizes the importance of textbook evaluation to ensure the quality and effectiveness of learning, by adapting the materials to learners' needs and integrating methodologies that are in line with the latest educational developments.

Catholic liturgy is an important element in the formation of students' faith in Catholic schools. This article discusses how liturgical traditions can be effectively integrated into the educational curriculum. By combining educational theory and theology, this study shows that liturgical practices such as mass, prayer, and meditation not only deepen students' faith but also enhance their sense of community and social responsibility. This article presents concrete examples of the integration of liturgy into spiritual learning and reflection in the classroom.

Advances in digital technology in the current Industry 4.0 era have changed and influenced several aspects of human life. Suppose the Indonesian people do not want the identity and character of their community and their cultural riches to be lost at the hands of globalization. In that case, the community must have a robust defence mechanism. One way to build a defense system is through education. Technology and education are two things that cannot be separated. Pesantren is the oldest Islamic education and broadcasting institution in Indonesia. This research aims to examine and formulate the implications of the shift in orientation and value systems of Islamic boarding schools at the modern Islamic boarding school Nurussalam Sidogede (South Sumatra), the modern Islamic boarding school Darul A'mal (Metro Lampung), the Al-Hikmah Islamic boarding school (Bandar Lampung) and the modern Islamic boarding school Al -Muhajirin (Cikarang Bekasi) with an AGIL approach. This research uses a descriptive qualitative approach. The primary data used in this research is sourced from the author's interviews with the Islamic boarding school. The results show that there are several similarity and differences between the transformative Islamic boarding school and non-transformative Islamic boarding school groups in terms of variables or indicators, namely Adaptation (A), Integration (I), Goal (G), and Latent Patten (L).

Akhlak degradation or moral degradation is at the foundation of a variety of problems and social issues in society during one's life. Moral degradation develops as a result of entering digital spaces, as shown by the presence of Instagram as a digital social media. As a result, discovering a solution to this problem becomes a priority. This study aims to provide a solution to the phenomenon of moral degradation in Instagram by exploring the concept of morality based on Sufism values, by determining the formulation of the problem including a description of moral degradation in Instagram, Sufism and morality in Islam, and the concept of akhlakul karimah based on sufism values. This study uses a qualitative approach with descriptive methods, as well as literature study as a data collection technique. The findings of this study explain the phenomena of moral degradation on Instagram, which generates a whole slew of issues. Furthermore, this research explains Sufism and morality in Islam, as well as their integration in the concept of morality based on Sufism values through various exercises and efforts as a resolution to moral degradation on the social media platform Instagram.

This article explores the reframing of holistic education by integrating spirituality and ethics as core components to achieve transformative impact. The study highlights the limitations of conventional education systems that prioritize cognitive development while neglecting moral and spiritual dimensions. The objective is to propose a more comprehensive educational paradigm that nurtures learners as whole individuals—intellectually, emotionally, morally, and spiritually. Using qualitative literature analysis, this study identifies the role of spiritual and ethical integration in shaping character, enhancing empathy, and fostering social responsibility. The findings suggest that embedding these values within curriculum design and instructional practices contributes to meaningful personal development and community transformation. By addressing the growing need for a more inclusive approach to education, the article emphasizes how integrating spirituality and ethics can bridge gaps in traditional educational models. The research underscores the importance of fostering emotional and moral intelligence alongside intellectual growth, particularly in a world where global challenges require not only intellectual problem-solving but also ethical decision-making and empathy. The implications emphasize the need for inclusive and humanistic approaches in education, encouraging educators to act as facilitators of life values and agents of change. Through the integration of spirituality and ethics, education can help shape a new generation of compassionate leaders and engaged citizens. By reimagining holistic education through this lens, the article offers a framework that aligns academic achievement with ethical consciousness and spiritual growth, ultimately fostering a more just and compassionate society. This transformative approach offers a comprehensive model for educators and policymakers aiming to prepare students not only for professional success but also for meaningful lives rooted in integrity and responsibility.

Digital supply chain management (MRPD) has become an important focus in the context of insecticide farming such as cicada cultivation. This study aims to explore the opportunities and challenges of MRPD implementation in cicada cultivation. The aim is to identify potential improvements in operational efficiency and risk management through the integration of digital technology in the cricket supply chain. The study is scheduled to be conducted for six months, with the initial phase of research focusing on literature analysis and conceptual framework, followed by primary data collection through interviews and survey. The subjects of the study include cricket farmers, feed suppliers, distributors, and end consumers. The research methods used are qualitative and quantitative approaches to gain an in-depth understanding of stakeholders' perspectives and experiences. The results of the study are expected to provide valuable insights into the benefits and constraints of implementing MRPD in cicada cultivation, as well as practical recommendations for industry stakeholders.    

This study explores the development of Islamic economic thought during the Umayyad Dynasty (661-750 CE). Using descriptive and literature review methods, this research highlights the integration of Islamic principles into economic policies and practices during this era. Key findings indicate that the Umayyad rulers implemented zakat, kharaj, and jizyah systems to ensure wealth redistribution and welfare. Infrastructure development and monetization through dinar and dirham currencies also contributed to economic stability while adhering to Islamic ethical values. Despite challenges such as social inequality and administrative inefficiencies, the Umayyad Dynasty laid a foundation for future Islamic economic systems that prioritize justice and prosperity.

The rapid evolution of smart cities, driven by the integration of technologies such as the Internet of Things (IoT) and blockchain, has brought about significant advancements in urban infrastructure and services. However, these developments also introduce new cybersecurity challenges. Introduction: Smart cities are increasingly vulnerable to cyber threats due to the extensive use of interconnected devices and systems. A key security concern is the management of digital identities, which is essential for maintaining the integrity and reliability of city services. Literature Review: Traditional centralized identity management systems face significant security issues, including a single point of failure, data breaches, and limited user control over personal information. In contrast, decentralized solutions, particularly blockchain-based systems, offer enhanced security through their distributed nature, eliminating vulnerabilities associated with centralized models. Materials and Method: This research focuses on blockchain technology’s application in smart city identity management. A decentralized framework is proposed, leveraging cryptographic techniques, consensus mechanisms, and smart contracts to ensure data security, integrity, and privacy. Results and Discussion: The implementation of blockchain for identity management significantly improves attack tolerance, data integrity, and transparency. The decentralized approach mitigates the risks associated with central authorities, ensuring that user data remains secure and verifiable. However, scalability, interoperability, and regulatory compliance challenges remain. Blockchain solutions must be optimized for large-scale smart city applications and aligned with legal standards to achieve widespread adoption. Future research should focus on overcoming these challenges to create a more secure and resilient smart city infrastructure.

Autonomous vehicles (AVs) are revolutionizing transportation by relying on advanced AI techniques like deep learning and reinforcement learning for decision-making and navigation. However, concerns about the opacity of traditional AI models in safety-critical applications such as autonomous driving raise issues related to safety, accountability, and trust. This study explores the integration of Explainable AI (XAI) techniques in AV systems to enhance transparency and interpretability while maintaining high prediction accuracy. XAI methods, such as LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive ExPlanations), provide understandable justifications for AI-driven decisions, addressing biases, fairness, and accountability. These techniques also support regulatory compliance and foster public trust in AVs. A mixed-methods approach, combining experimental simulations and user surveys, was employed to integrate XAI into AV systems and test its performance in urban traffic and highway driving scenarios. Feedback from users, collected through questionnaires and in-depth interviews, revealed that XAI-enhanced systems significantly improved the interpretability of AV decisions, leading to higher user trust and satisfaction. The study highlights the importance of balancing model complexity with interpretability, demonstrating that XAI techniques are crucial for building trust and ensuring accountability in autonomous driving systems.

This study explores the development and evaluation of an adaptive Intrusion Detection and Response System (IDRS) driven by Reinforcement Learning (RL) for securing 5G networks. The RL-based IDS is designed to overcome the limitations of traditional security systems by dynamically learning from real time network traffic and adapting to emerging cyber threats. Introduction: The rapid growth of 5G networks, with their increased number of connected devices and complex traffic patterns, necessitates advanced security solutions that can detect and respond to evolving cyberattacks. Literature Review: Traditional Intrusion Detection Systems (IDS), including signature based and anomaly based methods, are not equipped to handle the dynamic nature of 5G networks, leading to high false positives and low detection accuracy. In contrast, RL offers significant improvements in adaptability, detection accuracy, and response time. Materials and Method: The study simulates 5G network traffic and develops an RL-based IDS using Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO) techniques. The performance of the RL-based system is compared to traditional IDS systems, focusing on detection accuracy, false positive rates, and response times. Results and Discussion: The RL-driven IDS demonstrated superior performance, achieving higher detection accuracy (95%) and faster response times (30 milliseconds) compared to traditional methods. However, challenges such as computational cost and model interpretability were identified. The study emphasizes the importance of adaptive learning mechanisms and the integration of RL into Zero Trust Architecture (ZTA) to enhance the security of 5G networks.

Cloud-based resource allocation and VM/container orchestration play a crucial role in ensuring performance, scalability, and energy efficiency in modern distributed computing environments. This study investigates the effectiveness of centralized and decentralized scheduling models combined with heuristic and optimization-based allocation strategies in container-based cloud infrastructures. A quantitative experimental approach was employed to evaluate system performance under varying workload intensities. Key evaluation metrics included response time, throughput, resource utilization, SLA violation rate, and energy consumption. The experimental results indicate that centralized scheduling mechanisms experience scalability limitations and increased latency under high workload conditions. Although optimization-based allocation improves performance within centralized architectures, coordination bottlenecks remain significant. In contrast, decentralized scheduling models demonstrate superior adaptability, reduced response time, and improved throughput due to distributed decision-making and reduced control overhead. The integration of intelligent optimization techniques further enhances resource utilization and energy efficiency, achieving the lowest SLA violation rates and highest system stability. Overall, the findings confirm that combining decentralized scheduling with optimization-driven resource allocation provides a more scalable and sustainable orchestration strategy for modern cloud environments. This approach is particularly suitable for dynamic, large-scale, and latency-sensitive applications in container-based and edge-integrated cloud systems.

The integration of augmented reality (AR) technology in education is advancing, as seen in a project at Atisa Dipamkara School. This project developed a chemistry learning application using Unity, Android XR Plugin, and ARCore to address laboratory limitations. The app uses interactive 3D visualizations to help students grasp complex chemistry concepts. Blackbox testing showed that all main modules work well, except for a bug in the compound reset module. The app effectively improves students' understanding, interest, and motivation in chemistry, making abstract concepts more tangible. This application is both a learning aid and an educational innovation, promoting a more interactive and enjoyable learning experience.