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The advent of 5G technology has marked a significant shift in the telecommunications industry, offering transformative improvements in service speed, latency, and network reliability. This study explores the impact of 5G on operational efficiency and service innovation in telecom companies. By examining the operational performance of three leading telecom companies that have implemented 5G networks, the research identifies key improvements in speed, cost reduction, and resource optimization. The findings highlight that 5G has enabled companies to achieve up to 100 times faster data transfer speeds compared to previous generations, drastically reducing latency and enhancing network reliability. These improvements contribute to increased customer satisfaction, faster response times, and reduced operational costs. Additionally, the integration of artificial intelligence (AI) for network management has optimized resource allocation and further enhanced the efficiency of telecom operations. The research also demonstrates how 5G has driven innovation in service offerings, such as enabling smart cities, IoT integrations, autonomous vehicles, and real-time patient monitoring in healthcare. While the deployment of 5G offers numerous benefits, the study acknowledges challenges such as high infrastructure costs, digital inequality, and regulatory hurdles. Telecom companies must invest significantly in infrastructure and navigate complex regulatory environments to fully realize the potential of 5G. The study concludes that 5G technology has the potential to reshape the telecom sector, fostering greater competitiveness, service quality, and innovation. Future research should focus on the long-term impact of 5G on customer loyalty, its expanded applications, and its role in advancing future technologies such as 6G.

This study explores the integration of predictive analytics into supply chain management within national e-commerce enterprises. Predictive analytics, which utilizes historical data combined with machine learning algorithms, regression analysis, and time series forecasting, has shown significant improvements in operational efficiency. The study focuses on four key areas: demand forecasting, inventory management, transportation optimization, and customer satisfaction. By predicting demand more accurately, e-commerce platforms can reduce stockouts and overstock situations, streamline logistics routes, and lower logistics costs. The implementation of predictive analytics led to a 20% reduction in delivery times and a 15% decrease in logistics costs, thereby enhancing customer satisfaction. However, the study also highlights challenges in integrating real-time data from multiple sources and scaling predictive models across diverse product categories and geographic regions. The results emphasize the need for e-commerce platforms to invest in technology that enables seamless data integration and the development of region-specific predictive models. The findings are compared with industry benchmarks, showing that the improvements in logistics and supply chain performance align with global trends. Based on these results, the study recommends best practices for implementing predictive analytics, including effective data collection, machine learning model training, and scalability considerations. By following these practices, e-commerce companies can optimize their supply chains, reduce operational costs, and increase customer satisfaction, positioning them for greater competitive advantage in the marketplace.

This study explores the integration of Islamic economic education with green economy principles, focusing on environmental stewardship and sustainability. Islamic education plays a pivotal role in fostering ecological awareness, integrating values such as khalifah (stewardship), maslahah (public welfare), and adl (justice), which align with green economic practices. The research investigates how these values are taught in Islamic educational settings, particularly in pesantren (Islamic boarding schools), and how they promote sustainable practices such as tree planting and livestock cultivation. The study highlights the role of Islamic financial mechanisms, such as zakat, waqf, and green financing, in supporting sustainable development and equitable resource distribution. It also examines how Islamic education instills eco-spiritual values and encourages sustainable behaviors among students. The findings suggest that Islamic universities emphasize ethical economic principles more than secular institutions, while secular institutions focus more on sustainability content. The study calls for a more integrated approach, where both ethical economic practices and sustainability principles are harmonized to equip students for leadership roles in a green economy. This integration is crucial for fostering responsible global citizens capable of addressing the intertwined challenges of economic growth and environmental preservation.

The integration of Sharia principles with Environmental, Social, and Governance (ESG) frameworks presents a unique opportunity to enhance ethical accountability and sustainability in Islamic financial institutions. This study employs an analytical-descriptive research design, utilizing secondary data from annual sustainability reports, Sharia compliance documentation, and regulatory publications, to examine the adoption of ESG principles in the Islamic finance sector. Findings indicate that Islamic banks have achieved high levels of governance (90%) and social (85%) implementation, while environmental initiatives lag (62%), reflecting the need for stronger alignment with the khalifah fil ardh (stewardship of the earth) principle. The research also demonstrates a positive correlation between ESG implementation and investor confidence, with institutions exceeding 80% ESG adoption achieving an Investor Confidence Index of 92 points compared to 65 points among lower-performing banks. Despite conceptual synergy between ESG and Sharia principles centered on justice (adl), social welfare (maslahah), and environmental stewardship (khalifah) practical integration faces challenges including limited green financing instruments, regulatory fragmentation, and insufficient standardized ESG reporting tailored to Islamic finance. To address these issues, the study proposes an integrative ESG Sharia model emphasizing ethical foundations as the core of sustainable practices. Recommendations include developing Maqasid al-Shariah–based ESG indicators, expanding engagement in green financing and renewable energy projects, and adopting digital sustainability reporting. This integrative approach supports both global sustainability goals and the ethical imperatives of Islamic finance, contributing to a value-based, socially responsible, and spiritually aware financial ecosystem.

This research investigates the integration of Sharia economic instruments into green economy policies in Indonesia, focusing on how these instruments can enhance sustainability efforts. Specifically, it evaluates the role of Green Sukuk, zakat, and waqf in supporting sustainable development projects. Sharia economic instruments are identified as essential tools for financing environmentally friendly projects while aligning with social and ethical values. The research explores how these instruments contribute to the green economy by expanding funding sources, increasing public participation, and promoting social welfare. The study finds that the hybrid approach of integrating Sharia instruments with green policies leads to more sustainable outcomes compared to secular-only frameworks. The integration fosters long-term stability, attracts ethical investors, and supports social inclusion, making green initiatives more resilient. This research highlights the potential of Sharia-compliant financing in advancing the Sustainable Development Goals (SDGs) and fostering a more inclusive and sustainable economic model. Recommendations are made for the Indonesian government to develop policies that incorporate Sharia instruments into the green economy framework to enhance financial support and community engagement.

This study investigates the impact of gamified learning platforms on the development of critical thinking and problem-solving skills among middle school students. With the increasing reliance on digital tools, fostering these essential skills has become a critical educational goal. Traditional teaching methods often fail to engage students effectively, which has led educators to explore innovative approaches such as gamified learning. The experimental design of this study involved two groups: an experimental group using gamified learning platforms and a control group following conventional teaching methods. Data were collected through pre-tests and post-tests measuring students' critical thinking and problem-solving abilities. Results indicated that the experimental group showed a significant improvement in both skills, with a 20-point increase in their scores, while the control group exhibited minimal progress. The findings highlight that gamified learning, which integrates game mechanics such as points, rewards, and leaderboards, enhances engagement and motivation, leading to improved cognitive skills. This study emphasizes the potential of gamification to revolutionize educational practices, suggesting that its integration can be a powerful tool to equip students with the necessary skills for the future.

This study explores the use of graphene-based nanofluids in enhancing the performance of solar-powered desalination systems. A laboratory-scale desalination system was developed to simulate the evaporation process, powered by solar energy, with the integration of graphene-based nanofluids to improve thermal efficiency. The experimental setup measured evaporation rates, energy consumption, and temperature profiles under varying solar radiation conditions (400–800 W/m²). Results revealed that the system with nanofluids demonstrated up to a 35% increase in evaporation rates compared to the baseline system without nanofluids, indicating enhanced heat transfer properties. Moreover, energy consumption was reduced by up to 20%, highlighting the improved energy efficiency of the system with nanofluids. The system with nanofluids exhibited higher temperatures in the evaporator, confirming more effective thermal utilization. Statistical analyses, including t-tests and regression analysis, confirmed the significant impact of nanofluids on both evaporation rates and energy consumption. This study demonstrates that graphene-based nanofluids offer a sustainable and energy-efficient solution for solar-powered desalination, particularly in areas with abundant solar radiation. The integration of nanofluids not only enhances the efficiency of the desalination process but also reduces operational costs, making it a promising alternative for addressing water scarcity in a sustainable manner. Further research is needed to optimize nanofluid formulations and assess their long-term feasibility for large-scale applications.

This systematic literature review explores the role of psychoneuroimmunology (PNI)-based mind-body interventions in improving wound healing within nursing practice. Wound healing is a complex, multifactorial process influenced not only by cellular and molecular factors but also by psychological and immune responses. Despite the growing body of evidence supporting the efficacy of mind-body practices such as guided imagery, hypnotherapy, and meditation in managing stress and modulating immune responses, there is limited integration of these interventions into clinical nursing practices. This review aims to bridge this gap by synthesizing studies published between 2020 and 2024 that examine the impact of these interventions on wound healing outcomes. The review follows the PRISMA protocol, analyzing data from 50 primary studies focusing on RCTs, systematic reviews, and quasi-experimental designs. The results show significant improvements in wound closure rates, pain reduction, and immune modulation (e.g., reduction in cortisol and pro-inflammatory cytokines) in patients who received mind-body interventions. The findings support the hypothesis that mind-body interventions, by addressing both psychological stress and immune function, enhance wound healing. The proposed framework for integrating PNI-based interventions into nursing practice could improve patient outcomes in chronic wound management. Future research should focus on long-term studies with larger sample sizes and standardized intervention protocols to further validate these findings.

Hospital Information Systems (HIS), or Sistem Informasi Rumah Sakit (SIRS), play a critical role in enhancing administrative efficiency, decision support, and healthcare service quality. However, their implementation and effectiveness vary significantly across healthcare settings, particularly in low- and middle-income countries (LMICs). This study aims to systematically evaluate the existing literature on HIS effectiveness, implementation barriers, and administrative impact. Using a PRISMA-based Systematic Literature Review (SLR) approach, we examined 14 high-quality studies from multiple scholarly databases including PubMed, Scopus, ScienceDirect, and Garuda. The review applied a hybrid thematic synthesis grounded in HOT-FIT and DeLone & McLean models, combined with a normalized quality scoring system. The findings reveal that HIS implementations positively influence administrative workflow, billing accuracy, and patient throughput, though outcomes are context-dependent. Key challenges include lack of interoperability, resistance to change, and insufficient training. Notably, regulatory mandates and national digital health policies were found to significantly enhance HIS adoption and sustainability. This review contributes a multidimensional synthesis of HIS performance, highlighting the importance of human, organizational, and policy alignment. It offers an evidence-backed framework for HIS evaluation that bridges theory and practice. We conclude that integrated, context-sensitive HIS models are essential for advancing hospital management and public health systems, and recommend further empirical studies on long-term impact and cross-sector integration.

With the rise of digital media, religious education faces new challenges and opportunities. This article investigates the integration of digital tools in teaching religious studies, focusing on their potential to make learning more engaging and accessible. The study analyzes both the benefits, such as interactivity and inclusivity, and the risks, including misinformation and digital distractions. Practical recommendations are provided for educators to effectively leverage digital platforms while maintaining the integrity of religious teachings.  

Industrial robotics has transformed the field of mechanical engineering, enhancing precision, productivity, and safety in various industrial applications. This article examines the key challenges and opportunities that industrial robotics presents within mechanical engineering, alongside an exploration of emerging technologies like AI-enhanced robotics, collaborative robots (cobots), and advanced sensor integration. By addressing the complex issues surrounding robotics and highlighting potential advancements, this paper provides insights into the future of robotics in industrial settings.

This article explores recent advancements in sustainable industrial innovation within the field of mechanical engineering. With the shift towards environmental consciousness, the integration of sustainable practices in manufacturing, energy use, and waste management has become crucial. This paper reviews current trends, emerging technologies, and projected future directions, providing insights into how mechanical engineering can play a pivotal role in fostering sustainable industrial practices.

This study presents the development of a smart grid system designed to efficiently integrate renewable energy sources into the existing electrical grid. The proposed system employs advanced communication technologies and real-time data analytics to optimize energy distribution and consumption. A simulation model was created to evaluate the system's performance under various scenarios, demonstrating significant improvements in energy efficiency and reliability. The findings indicate that the smart grid system can enhance the stability of the electrical network while promoting the use of sustainable energy sources.

The rapid growth of digital technologies has significantly increased the complexity and frequency of cyber threats, making network security a critical concern in modern information systems. Traditional security approaches, such as rule-based and signature-based systems, are often limited in detecting sophisticated and unknown attacks. Therefore, this study proposes an Anomaly-Based Intrusion Detection System (AbIDS) utilizing machine learning and deep learning techniques to enhance detection capabilities. The research adopts a Design Science Research approach, involving stages of problem identification, data collection, preprocessing, model development, system implementation, and evaluation. Several models, including Decision Tree (DT), Support Vector Machine (SVM), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM), are implemented and compared. The results indicate that deep learning models, particularly LSTM and CNN, outperform traditional machine learning methods in terms of accuracy, precision, recall, and F1-score, while maintaining a lower false positive rate. Additionally, the integration of incremental learning enables the system to adapt to new attack patterns without requiring complete retraining, improving scalability and real-time performance. Despite the promising results, challenges such as computational complexity and false positives remain. Overall, the proposed IDS model demonstrates strong potential as an effective and adaptive solution for enhancing network security in dynamic environments.

The rapid growth of big data has significantly increased the demand for efficient and scalable data processing methods, particularly within cloud computing environments. This study aims to evaluate the effectiveness of distributed computing frameworks, specifically Apache Hadoop and Apache Spark, in optimizing big data processing. A qualitative approach using a Systematic Literature Review (SLR) method is employed to analyze existing studies related to distributed systems, cloud computing architectures, and performance optimization techniques. The analysis focuses on key performance indicators, including processing speed, resource utilization, and scalability, as well as the suitability of each framework for different data processing scenarios. The findings indicate that Apache Hadoop is highly effective for batch processing and storage-intensive tasks due to its disk-based architecture, while Apache Spark demonstrates superior performance in real-time and iterative processing through its in-memory computing capabilities. Additionally, system configuration factors such as cluster size, memory allocation, and network bandwidth are identified as critical elements influencing overall performance. The study also highlights emerging trends, including the adoption of hybrid cloud environments, the integration of artificial intelligence and machine learning, and the utilization of edge computing to enhance real-time data processing. In conclusion, distributed computing frameworks play a vital role in improving the efficiency and scalability of big data processing in cloud environments. The selection of an appropriate framework, combined with optimized system configuration, can significantly enhance operational performance and support data-driven decision-making.

This study analyzes the transformation of economic education towards educational investment as a means of strengthening human resources (HR) through a bibliometric approach. By utilizing Scopus basic data and the VOSviewer analysis tool, the study examines the trends in publications over the past ten years, focusing on key areas such as educational economics, educational investment, and HR development. The findings highlight that innovations in educational economics, including the integration of digital technology, project-based learning, and collaborations between educational institutions, government, and industry, are crucial in enhancing the effectiveness of educational investments. Additionally, the study reveals that the proper allocation of educational funds for infrastructure development, improving teaching quality, and implementing skills-based training programs significantly contributes to increasing workforce competitiveness and promoting sustainable economic growth. The research emphasizes that educational investment strategies must be aligned with the needs of industry and global challenges to foster adaptive and innovative human resources. Moreover, it stresses the importance of designing educational policies that are comprehensive, addressing the aspirations of individuals and the relevance of education to the labor market. Ultimately, the study offers valuable academic insights and practical recommendations for policymakers, educational institutions, and other stakeholders. It also provides guidance for developing effective strategies that optimize educational investment and support the cultivation of superior HR capable of driving future economic progress.

The development of the implementation of inclusive education by describing the journey from the initial stages to the present. Through a comprehensive literature review and empirical research, we explore the key factors influencing the implementation of inclusive education, including support from various stakeholders, adequate resource allocation, and a supportive policy framework. This research aims to analyze the development of the implementation of inclusive education. This research method is qualitative research which aims to understand humanitarian and social problems in depth. The results of this research demonstrate the challenges faced by educational practitioners, such as the need for additional training for educators, better integration of students with special needs into the regular curriculum, and the importance of social and emotional support for all students. In addition, we highlight the important role that educational policies play in encouraging or hindering the implementation of inclusive education. By strengthening understanding of the dynamics and complexities of implementing inclusive education, we hope to provide useful insights for practitioners, policy makers and researchers to improve the effectiveness and sustainability of inclusive education throughout the world.  

Procurement process in the industrial sector is undoubtedly conducted. However, conventional procurement of goods and services still faces numerous challenges, such as the need for physical storage space which is impractical, consumes a lot of space, and the difficulty in accessing past documents. With the advancement of the Industry 4.0 era, it pushes the procurement sector to undergo changes related to data integration systems and also the procurement process, all aimed at creating efficiency in the procurement of goods and services.    

This study delves into the intricacies of implementing information systems for electronic medical records (EMR) at Hospital Palangka Raya, emphasizing the importance of healthcare service quality. Using a descriptive research approach, the study gathered data from 60 questionnaires through simple random sampling from January 5 to January 25, 2023. The research instrument employed was a questionnaire, yielding insightful results on the agreement levels between reality and expectations across key variables like Man (90.12%), Machine (85.75%), Method (90.06%), Material (90.18%), and Environment (90.94%). Based on these findings, the study recommends regular evaluations every six months, coupled with training and collaboration initiatives, to enhance EMR implementation and improve Electronic Medical Records' quality

The research focuses on conducting a comparative study of social representation in two famous Indonesian novels, namely, "Ronggeng Dukuh Paruk" written by Ahmad Tohari and "Bumi Manusia" by Pramoedya Ananta Toer. The research explores the implications of the novel for Indonesian language teaching materials in secondary schools, which were revised by the Ministry of Education and Culture in 2018. These literary works, the abundance of value contained in social, cultural, and historical significance, are regarded as valuable assets that can enhance literary teaching with the aim of growing students' understanding of various aspects of Indonesian society. Qualitative methodology was used in this study to investigate how the integration of these two novels into the Indonesian language curriculum could enhance students' understanding of principles such as justice, identity, and social interaction. The study revealed that the inclusion of these novels in literary education not only expanded students' awareness of social and cultural issues but also increased their capacity for critical analysis and empathy. It is recommended that educators adopt an interdisciplinary approach when teaching literature, linking texts to broader social, historical, and cultural frameworks to facilitate students in developing a deeper understanding of their community and its underlying principles. The results of this research are expected to offer a new perspective on improving the curriculum of literature and pedagogical strategies in Indonesia, in particular in cultivating the social and critical awareness of students through literary studies.