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The utilization of technology in education has been increasingly developed, one of which is the use of chatbots in mathematics learning in elementary schools. This study aims to analyze the impact of chatbot usage on students' understanding of mathematics, learning independence, and time management. This research uses the Systematic Literature Review (SLR) method by reviewing various recent studies related to the implementation of chatbots in learning. The findings indicate that the use of chatbots can enhance students' understanding of mathematical concepts, strengthen learning independence, and help students manage their learning time more effectively. Chatbots provide opportunities for students to learn independently, give real-time feedback, and offer flexibility in learning time. The implications of this research emphasize the importance of integrating technology, specifically chatbots, to support more interactive and adaptive mathematics learning in elementary schools. The study also provides recommendations for further development of educational technology to improve the quality of future learning.

The rapid development of social media has significantly impacted the management of Islamic education, presenting both opportunities and challenges. This study aims to analyze the influence of social media on Islamic education management by employing a Systematic Literature Review (SLR) approach. The research method involves identifying, evaluating, and synthesizing relevant literature from the past ten years to understand trends, benefits, and obstacles in utilizing social media for educational purposes. A total of 50 studies were reviewed, focusing on various aspects such as communication effectiveness, student interaction, and access to learning resources. The findings indicate that social media facilitates communication efficiency, enhances student engagement, and broadens access to Islamic educational resources. It has become an essential tool in delivering content, connecting students and educators, and fostering collaborative learning. However, challenges such as misinformation, lack of regulatory policies, and student distractions require strategic solutions. The study suggests implementing internal policies, providing teacher training, and utilizing social media analytics to optimize its use. In addition, integrating social media strategies with traditional Islamic teaching methods can enhance educational outcomes. These findings contribute to a deeper understanding of the role of social media in Islamic education management and offer recommendations for its effective implementation. Furthermore, the study highlights the need for further research to explore the long-term impacts of social media on Islamic education.

This study aims to explore the impact of supply chain automation on workers’ well-being in the sustainable industrial sector through a Systematic Literature Review (SLR) approach. The transformation driven by Industry 4.0 technologies such as artificial intelligence (AI), Internet of Things (IoT), and blockchain, has presented significant challenges and opportunities. This study identifies the impacts of automation on workers’ economic, social, and psychological aspects, including changes in skills requirements, reduction of manual employment, and its effects on mental health. In addition, this study also highlights the importance of sustainability in automation implementation, by balancing economic efficiency, environmental preservation, and social welfare. By integrating the results of studies from various literatures, this study provides recommendations for policies that support sustainability and social inclusiveness, as well as strategic guidance for industries in adopting supply chain automation sustainably.

This study aims to address the challenges and propose solutions for the Optimization of Blockchain-Based Cybersecurity Systems to Enhance Resilience Against Ransomware Attacks using a Systematic Literature Review (SLR) approach. Blockchain is increasingly recognized as a transformative technology in cybersecurity due to its decentralized structure, transparency, and robustness in securing data. Despite these advantages, its widespread adoption is hindered by several challenges, including scalability, interoperability, high energy consumption, and limited access to representative ransomware datasets. This research highlights that integrating blockchain with advanced technologies such as data analytics, machine learning, and Explainable AI (XAI) can significantly enhance its effectiveness in combating ransomware.The findings reveal that Graph Convolutional Neural Networks (GCN) enable real-time detection of ransomware patterns in network traffic with an accuracy of up to 95%. Furthermore, Layer-2 solutions like the Lightning Network and sharding effectively alleviate the load on main blockchains, thereby increasing transaction throughput. Efficient consensus mechanisms, including Proof of Stake (PoS) and Delegated Proof of Stake (DPoS), address energy consumption issues, making blockchain more adaptable to IoT and resource-constrained environments. These approaches have proven successful in enabling early detection, mitigation, and prevention of ransomware in IoT systems, cloud infrastructures, and smart grid networks. The implications of this study underscore the potential of blockchain as a critical component of proactive and adaptive cybersecurity systems. However, overcoming existing challenges requires further development of hybrid frameworks that integrate blockchain with data analytics and machine learning technologies. In addition, efforts should focus on standardizing global security protocols to enhance interoperability and creating robust, diverse ransomware datasets to support more accurate detection systems. Future research should also explore methods to minimize latency and improve blockchain efficiency in real-time cybersecurity applications.

This research is a Systematic Literature Review (SLR) aimed at analyzing the application of Artificial Intelligence (AI) technology in the management of information technology (IT) projects. This study focuses on identifying the AI technologies employed, the benefits gained, and the challenges faced in implementing these technologies. The study gathers and analyzes literature from various leading databases, including Scopus, IEEE Xplore, and SpringerLink, within the timeframe of 2015–2025. The findings reveal that AI technologies such as machine learning, predictive analytics, and natural language processing play a significant role in improving efficiency, reducing risks, and supporting decision-making in IT project management. However, challenges such as data quality, organizational resistance, and implementation costs remain major obstacles in adopting this technology. This review provides comprehensive insights into trends, benefits, and barriers associated with AI utilization, along with recommendations for more effective implementation in the future.

Performance audit is a strategic instrument to strengthen transparency and accountability in the governance of Village-Owned Enterprises (BUMDes). However, current practices of BUMDes auditing in Indonesia remain limited, fragmented, and often fail to uphold the principles of good governance. This study aims to identify and synthesize the implementation of performance audits in BUMDes across various regions through a Systematic Literature Review (SLR) of 28 articles published between 2013 and 2024. Sources were obtained from Scopus, DOAJ, Google Scholar, and Garuda, with thematic analysis applied. The study identifies five core issues: weak internal audit mechanisms, limited community participation, low utilization of information technology, cultural resistance, and the role of audits in improving village economic performance. The paper proposes a participatory audit model grounded in local familial values and supported by appropriate digital tools. This hybrid model is contextually suited to promote accountability in rural areas where institutional capacity is limited but social cohesion is strong. Theoretically, this research extends the relevance of stewardship theory and participatory governance to micro-level public sector entities. Policy implications highlight the need for adaptive, community-based audit mechanisms as a foundation for accountable rural development

Task scheduling in cloud computing environments is a crucial aspect in optimizing resource allocation and improving system efficiency. This research aims to analyze trends in task scheduling algorithms in cloud computing using a Systematic Literature Review (SLR) approach on various scientific publications published between 2018 and 2025. The results of the study show that Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Genetic Algorithm (GA) algorithms are the most commonly used methods in solving task scheduling problems. PSO stands out as an effective algorithm due to its ability to find global optimal solutions, handle non-linear and multimodal problems, and its efficiency in managing computational resources. Additionally, various studies have shown that optimization of scheduling algorithms can be achieved through a combination or modification of existing methods to improve system performance. This study provides in-depth insights into the development of scheduling algorithms in cloud computing and opens up opportunities for further research in developing more innovative and adaptive approaches.

The development of technology is very rapid and has undergone a significant transformation, especially with the emergence of technology 5.0. In this development, Generation Z is experiencing communication challenges in the development of the 5.0 technology which is increasing. The purpose of this research is to analyze the Communication Challenges of 5.0 in the Digital Age and Understand Generation Z in communicating with the rapid advancement of 5.0 technology. This research is a literature study. Data collection uses documentation from Google School. The data analysis used is the Systematic Literature Review (SLR) method. The vast and growing expansion of the field of communication 5.0 through various digital platforms, such as social media, has made it difficult to communicate 5.0 in the current digital era, especially when connecting with Generation Z. The problem of communication in the current digital era is The current digital era, especially when interacting with Generation Z, is the rapid growth of the field of communication through various digital platforms, including social media, instant messaging, online content, other media, and so on. The characteristics of Generation Z, such as their tendency towards concise communication, strong visuals, and video, influence their communication style. Building a solid and productive partnership requires knowledge of the partnership and customization of your communication approach. In addition, it must be recognized that Generation Z is very tech-savvy, which can lead to privacy and security issues that need to be handled carefully if you want to establish effective communication with this generation.

This study explores the integration of mathematical and English language skills in the education of Generation Alpha, particularly in the context of Society 5.0. Using a Systematic Literature Review (SLR), the research analyzes existing literature to examine the role of these skills in shaping the future educational landscape. The findings suggest that both mathematical and English language skills are crucial for preparing students for the challenges of a technology-driven society. However, challenges such as gaps in educational resources and the digital divide persist. Opportunities arise from leveraging technology to enhance both subjects simultaneously, and project-based learning methods have shown promise. Furthermore, these skills are increasingly vital in the context of Society 5.0, where digital transformation, artificial intelligence, and technological advancement are central. This paper concludes by emphasizing the importance of integrating mathematical and English language skills to ensure that Generation Alpha is adequately prepared for future societal needs.

Objective: This study investigates the critical role of risk management practices in enhancing corporate performance, with a specific focus on financial institutions and manufacturing sectors. The research aims to uncover how effective risk management contributes to organizational resilience, operational efficiency, and long-term sustainability.Methodology: A Systematic Literature Review (SLR) methodology was employed to analyze 11 peer-reviewed academic articles published between 2015 and 2023. The selected studies were drawn from reputable databases such as Scopus and Web of Science, using predefined inclusion criteria. The analysis focused on identifying patterns, gaps, and emerging trends in risk management practices.Findings: The study reveals that robust risk management significantly enhances organizational resilience, mitigates exposure to financial and operational risks, and fosters improved corporate governance. Frameworks such as ISO 31000 and Enterprise Risk Management (ERM) are identified as pivotal in aligning risk management with strategic objectives, thereby driving sustainable growth.Contribution: This research underscores the need for a unified and standardized risk management framework that addresses sector-specific challenges while promoting cross-industry applicability. Policymakers and industry leaders are urged to prioritize risk management as a strategic imperative, especially in times of crisis.

The era of digitalization has a significant impact on various aspects of life, including education. However, the existence of traditional games is increasingly eliminated due to technological developments. This study examines the implementation of the traditional game of ball ball as an interactive learning medium of the earth's gravitational force for elementary / middle school students. Using  the Systematic Literature Review (SLR) method, this study identifies the benefits of the game of ball ball in improving students' understanding, motivation, and learning outcomes through a fun and interactive approach. The results of the study show that the ball game is able to integrate the concept of the earth's gravitational force in a simple but effective way. The game also facilitates the development of students' cognitive, psychomotor, affective, social, and spiritual aspects. The use of the game of ball in learning not only increases students' interest but also creates an inclusive and collaborative learning environment. The conclusion of this study confirms that the traditional game of bekel ball is an innovative and relevant learning medium in teaching physics concepts, especially the earth's gravitational force. The practical implications can be used as a guideline for educators to develop learning strategies based on local wisdom that support in-depth conceptual understanding. Further research is recommended to explore the potential of other traditional games in the learning of complex science concepts.

This research examines the impact of hybrid work systems, reward systems, and work productivity on employee performance in state-owned companies. Using the systematic literature review (SLR) method, this research analyzed 45 journals published on various academic platforms such as Google Scholar and Publish or Perish. With a qualitative approach and descriptive analysis, this study investigates how the implementation of a hybrid work system that combines work from home and work from office affects employee performance. The research also explores the role of reward systems as a form of reward and motivation, as well as the impact of work productivity in the context of BUMN. The research results show that these three variables have a significant influence on the performance of BUMN employees, with the hybrid work system providing flexibility which has an impact on work balance, the reward system increasing work motivation, and productivity acting as a benchmark for the success of company performance.

This research explores the impact of digitalization on Micro, Small, and Medium Enterprises (MSMEs) using a systematic literature review (SLR) approach based on the PRISMA method. The data collection process began with the identification of relevant scientific articles using the keywords "digitalization," "MSMEs," and "digital transformation," through leading academic databases, such as Scopus, Google Scholar, and JSTOR. The initial search identified 278 articles, of which 35 met the predetermined inclusion criteria. A thorough analysis of these 35 articles revealed that digitalization plays a pivotal role in fostering innovation within the MSME sector, offering benefits such as enhanced operational efficiency, expanded market access, and strengthened social, economic, and environmental sustainability. However, the implementation of digitalization in MSMEs is encumbered by several challenges, including limited resources, uneven digital infrastructure, and cyber security threats. The study underscores the significance of the government's role in establishing regulatory frameworks, offering financial incentives, and fortifying infrastructure to facilitate the sustainable digital transformation of MSMEs. This research provides strategic insights for policymakers, practitioners, and academics, offering guidance on the successful adoption of digitalization in the MSME sector.

This study examines the application of network models in daily life using a systematic literature review (SLR) method. Network models are mathematical approaches that aid in solving various optimization problems such as shortest routes, minimum spanning trees, and maximum flows. Findings reveal that the Floyd-Warshall and Dijkstra algorithms are applied for route navigation, Prim's algorithm for distribution efficiency, and the Edmonds-Karp algorithm for optimizing resource flows like water. This research highlights the significance of network models in enhancing operational efficiency, sustainability, and accessibility across various domains such as transportation, logistics, and resource management. With the integration of modern technology, network models hold significant potential for developing innovative solutions in everyday life.

This research aims to identify factors that influence the formation of a clean and honest personality and to instill these values from an early age to form a positive character. The method used is a Systematic Literature Review (SLR), by investigating 30 journal articles published from 2020 - 2024. This research shows that strengthening the value of honesty must start from an early age through character education in families and schools, and is supported by government policies that are firmly against corrupt practices. The results of this research can be a basis for further research in this field and can help develop an understanding of the complexity of anti-corruption issues in Indonesia. Future research could focus on developing anti-corruption education strategies from an early age and evaluating the effectiveness of existing policies

This study aims to identify obstacles and opportunities in the development of Micro, Small, and Medium Enterprises (MSMEs) in Mojokerto Regency, Indonesia from a macroeconomic perspective. Using the Systematic Literature Review (SLR) method, this study analyzes various literature and secondary data from national and international sources. The research findings show that MSMEs in Mojokerto Regency face several major obstacles, including limited access to financing, lack of digital literacy, inadequate infrastructure, and challenges in improving the quality of human resources. On the other hand, there are significant opportunities for MSME development through the use of digital technology, government policy support, and export market development. From a macroeconomic perspective, the success of MSME development in Mojokerto will not only have an impact on improving the welfare of local communities but can also contribute to regional and national economic growth. Recommendations from this study include increasing access to financing, accelerating the development of digital infrastructure, and strengthening the capacity of MSME actors through entrepreneurship training and technological literacy. By overcoming these obstacles and utilizing existing opportunities, MSMEs in Mojokerto Regency have the potential to become a driving force for a stronger and more sustainable economy.

This study examines the application of mini-game-based pocket books as a learning medium to improve elementary school (SD) students' mathematics learning outcomes. The background of this study is based on the challenges faced by students in understanding mathematical concepts effectively, so an innovative and fun approach is needed. Mini-game pocket books offer an interactive and motivating learning method, combining educational games with academic concepts. This study uses the systematic literature review (SLR) method by analyzing scientific articles published in the last five years from national journals and books. The analysis process is carried out descriptively to identify research patterns, the effectiveness of learning media, and their impact on student learning outcomes. The results of the study are expected to show that mini-game pocket books are able to improve students' conceptual understanding, learning motivation, and critical thinking skills. These findings also provide insight for teachers and researchers in developing more effective and interesting learning strategies at the elementary school level.

Digital art communities on the internet connect artists, creators, and art enthusiasts globally to share and discuss digital artworks. Through platforms like Facebook, Instagram, Discord, and Pinterest, artists can showcase their work to an international audience, strengthening social connections and supporting mental health. Art, including digital art, helps teenagers express themselves, communicate, and grow emotionally and socially. Additionally, technology in art therapy creates enjoyable experiences that foster creativity. This study uses systematic literature review (SLR) to gather relevant evidence, but research on the use of digital media in art therapy for teenagers with diverse issues is still limited, requiring further exploration. The study also highlights global interest in the relationship between art, technology, and adolescent development, emphasizing the great potential of art and technology in improving social and emotional well-being.

Traditional markets play an important role in the local economy in Indonesia, especially in creating jobs, income distribution, and preserving culture. This study uses a Systematic Literature Review (SLR) approach to analyze literature related to the role of traditional markets in improving the economy of people in Indonesia. Through the analysis of relevant scientific articles, it was found that traditional markets contribute to the informal sector, creating jobs, reducing economic disparities, strengthening social networks, and preserving local traditions and culture. However, challenges such as competition with modern markets and inadequate infrastructure are the main obstacles to the sustainability of traditional markets. This study recommends that revitalizing traditional markets through modernizing facilities, empowering traders, and implementing digital technology should be a policy priority to support inclusive and sustainable local economic development.

The maritime industry is facing a critical shift toward sustainability, particularly through the green shipping transition. This research was conducted to explore how maritime vocational programs are developing leadership competencies necessary to manage sustainable maritime practices. Previous studies have largely focused on technical skills, with limited attention to leadership development in the context of sustainability. This research aims to fill this gap by addressing the preparedness of maritime education in cultivating leaders who can drive the green transition. The study sought to answer key questions about how leadership competencies are integrated into vocational training and the extent to which sustainability is incorporated into maritime curricula. The analysis utilized a combination of a Systematic Literature Review (SLR) and qualitative interviews with 10 maritime professionals, lecturers, and graduates. The SLR identified key competencies and frameworks in sustainable leadership, while the interviews provided insights into the current state of maritime education. The results indicate that while sustainability is increasingly recognized, there are gaps in leadership training, practical exposure to green technologies, and industry collaboration. The findings suggest that maritime vocational programs must adopt a more integrated approach to leadership development and sustainability. By embedding sustainability across curricula and providing hands-on learning opportunities, educational institutions can better prepare future maritime leaders. This research contributes to improving maritime education by addressing the intersection of leadership and sustainability.