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The transition of children from early childhood education to elementary school (SD) is a critical phase in their psychological and academic development. During this phase, children face significant challenges, including changes to a more structured learning environment and increasing academic demands. At SDN 055991 in Langkat Regency, this phenomenon is reflected in the difficulties experienced by some students, particularly with basic skills such as reading, writing, and arithmetic, as well as with socializing with peers. These difficulties can impact children's long-term academic and social development. This study aims to identify the key factors influencing children's learning readiness during this transition period, utilizing artificial intelligence (AI) technology. Specifically, this study uses Artificial Neural Networks (ANN) and Decision Trees as tools to analyze the data obtained. The use of this data-driven approach allows for a more in-depth analysis of the complex patterns and relationships between various variables that influence children's learning readiness, such as family factors, social environment, and students' basic skills. This study also references various previous studies demonstrating the effectiveness of backpropagation and Deep Learning algorithms in the context of education and student performance prediction. This approach is expected to provide more precise solutions for understanding children's learning readiness and provide a more accurate picture of the factors contributing to difficulties experienced by students in the transition to elementary school. The results of this study are expected to provide relevant recommendations for parents, educators, and education policymakers to support children's learning readiness and strengthen basic education policies that are adaptive to the needs of students in this digital era.

This study aims to analyze the development, effectiveness, challenges, and research gaps in the implementation of anti-corruption education globally during the 2015–2025 period. Employing a Systematic Literature Review (SLR) guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, the study systematically identified, evaluated, and synthesized 37 peer-reviewed articles indexed in the Scopus database. The findings indicate a significant increase in both academic publications and the implementation of anti-corruption education programs worldwide. These programs adopt diverse approaches, including curriculum integration, the use of digital media, and participatory learning strategies. Evidence of program effectiveness is reflected in behavioral changes and long-term social impacts reported in several studies. However, the review also reveals persistent challenges: cultural (social norms tolerant of corruption), structural (absence of national standards or policy frameworks), and technical (limited access to technological infrastructure). Furthermore, the research landscape shows notable gaps, such as the lack of longitudinal studies, minimal focus on vulnerable groups (e.g., children with disabilities), and underutilization of emerging tools like artificial intelligence (AI) and big data analytics. Future research is recommended to adopt interdisciplinary perspectives, develop context-based learning modules, and leverage advanced technologies to enhance engagement and scalability. Overall, the findings highlight the urgency of implementing holistic and adaptive strategies to strengthen the role of education in combating corruption at various levels of society.

This study examines the role of Artificial Intelligence (AI) in piano education through a qualitative review of six recent academic sources. AI technology has brought about significant transformations in music learning methods, particularly for the piano instrument. Various AI applications such as automated performance feedback systems, musical accompaniment generators, technical error detection devices, and adaptive learning platforms have enabled new approaches to teaching and learning. AI provides instant feedback, tailored exercises to individual abilities, and creates more interactive and flexible learning environments. These innovations are considered to support the development of students' technical skills more effectively, while increasing learning motivation through personalization and ease of access. Furthermore, this study examines the information systems that support these AI applications, including human-computer interaction, audio signal processing, and the use of machine learning models to recognize playing patterns and technical errors. While AI offers significant benefits, concerns arise regarding its limitations in understanding and responding to the emotional aspects of music. AI is not yet capable of fully supporting the development of subjective and complex musical expression. Over-reliance on this technology is also feared to undermine students' critical thinking, artistic sensitivity, and creativity. Therefore, this study emphasizes the importance of a balanced integration between AI technology and human pedagogical roles, with the teacher remaining the primary facilitator in fostering expression, interpretation, and artistic values in piano learning. The study recommends further research on emotionally responsive AI, blended learning models, and long-term evaluation of AI's impact on students' artistic and musical development.  

Technological developments in the modern era have experienced rapid growth, one of which is through the advancement of Artificial Intelligence (AI). This technology has now become an integral part of people's daily lives because it can provide convenience, efficiency, and innovation in various fields. However, behind the benefits offered, AI also carries potential risks, especially when misused. One of the most worrying forms of misuse is deepfakes, namely AI-based digital content manipulation that can convincingly imitate a person's voice, face, and movements. Deepfakes have triggered various digital crimes, such as identity forgery, the creation and distribution of non-consensual pornographic content including sexual exploitation, blackmailing, the spread of fake news (hoaxes), digital terror, fraud, and defamation. The increasingly sophisticated level of AI in manipulating data demands swift action, appropriate regulations, and effective oversight strategies from the government to anticipate its negative impacts. This research uses a normative juridical method with a statute approach and a conceptual approach. This approach allows for a comprehensive analysis of the existing legal framework, the concept of legal protection, and the urgency of establishing new regulations related to AI technology. The research findings indicate that the government needs to take a number of strategic steps, including: (1) drafting specific regulations governing the use and limitations of AI, particularly regarding deepfakes; (2) developing and implementing effective deepfake detection technology; (3) providing protection, recovery, and rehabilitation mechanisms for victims; and (4) implementing widespread public education to raise public awareness of the risks of AI misuse.

The rapid development of artificial intelligence technology, particularly through the use of language models such as ChatGPT, has brought about significant changes in educational practices in Indonesia. The use of this technology has contributed to the creation of a more efficient learning process while enriching students' abilities to master and understand material more comprehensively. However, the use of AI in academic activities presents a number of problems, particularly related to scientific integrity, including an increased risk of digital plagiarism and a decline in critical thinking skills. In view of these developments, this study focuses on examining how the use of ChatGPT affects academic integrity and the quality of digital learning at UIN North Sumatra. This study applies a descriptive qualitative method, in which data is collected through interviews with five students from the Faculty of Economics and Islamic Business (FEBI) to gain a deeper understanding of their perceptions of the use of artificial intelligence in learning activities. The findings show that although ChatGPT provides convenience and efficiency in the learning process, students emphasize the importance of supervision and knowledge of ethics so that this technology can be used appropriately and responsibly. Therefore, universities need to strengthen digital literacy and ethics among students and increase supervision to ensure that the use of this technology does not compromise academic integrity. This research contributes to a deeper understanding of the impact of AI use on academic integrity in Islamic universities in Indonesia.

The agricultural sector has a vital role in meeting national food needs, improving community welfare, and strengthening regional food security. However, the sector still faces various challenges, including land limitations, climate change, price fluctuations, and low production cost efficiency. Therefore, innovation is needed through the application of digital technology that is able to increase the productivity and sustainability of farming businesses. One of the solutions offered is the use of Artificial Intelligence of Things (AIoT), which is the integration of artificial intelligence (AI) with the Internet of Things (IoT) that allows agricultural systems to run more intelligently, efficiently, and scalably. This community service activity was carried out with the Satria Tani Hanggawana Farmers Group located in Kalisapu Village, Slawi District, Tegal Regency, with the main focus on premium melon cultivation. The method of the activity included material presentations on the concept of smart farming, the introduction of IoT-based sensor devices for monitoring temperature, humidity, and plant nutrition, field practices in greenhouses, simulations of the use of AI-based applications for crop prediction, and interactive discussions. In addition, material was also provided on simple agribusiness management, financial recording, and crop marketing strategies so that farmers are able to manage their businesses more professionally. The results of the activity showed a significant increase in participants' knowledge related to the application of AIoT in modern agriculture. Farmers not only understand the benefits of technology, but are also able to practice using tools and applications directly. The enthusiasm of the participants was reflected in their active involvement in discussions, willingness to try new technologies, and awareness of the importance of innovation to face agricultural challenges in the digital era.

Environmental health risks, including air pollution, unsafe water, and climate-sensitive diseases, remain pressing global challenges that continue to threaten public well-being. Conventional monitoring systems are typically manual, costly, and geographically limited, making it difficult to provide timely and accurate data for intervention. This study explores how digital health technologies—specifically mobile health (mHealth), the Internet of Things (IoT), artificial intelligence (AI), and remote sensing—are applied to strengthen the monitoring and management of environmental health risks. A structured literature review was carried out by synthesizing 87 peer-reviewed articles published between 2013 and 2024, using an evaluation framework built on keyword clustering, metadata filtering, and multi-criteria scoring to assess usability, scalability, interoperability, and relevance to health outcomes. Findings show that mHealth platforms are highly accessible and user-friendly but often face limitations in integration with broader health systems. IoT and AI technologies offer strong scalability and predictive capability, particularly in real-time risk detection, though they are hindered by interoperability issues across platforms. Meanwhile, remote sensing is powerful for capturing large-scale environmental data but lacks direct connections to health-specific applications. The analysis identifies a critical gap in the integration of these technologies, emphasizing the need for cross-sector collaboration to build more robust, interoperable systems. Additionally, the findings highlight the importance of ethical considerations, validation processes, and interdisciplinary approaches to ensure sustainable and impactful implementation. Overall, this study provides not only a comparative synthesis of current practices but also a methodological roadmap to guide future digital innovations in environmental health. By bridging technological potential with practical application, it underscores the urgent need for integrated strategies that can better address the growing complexity of environmental health risks in the modern era.

Innovation in the fashion industry is increasingly influenced by the integration of technology, which plays a crucial role in creating more efficient and sustainable design practices. This study explores the potential of combining fabric slashing techniques with artificial intelligence (AI) to optimize the design process, reduce textile waste, and support sustainability goals. Using a mixed-methods approach, the study involved experimentally developing an AI-based algorithm capable of automatically generating cutting patterns. Surveys and in-depth interviews with fashion designers provided qualitative insights into the acceptance, feasibility, and challenges of adopting this technology in a real-world design environment. The results indicate that integrating AI into cutting techniques reduced textile waste by up to 25%, while accelerating the design process and enabling the creation of more complex and innovative patterns compared to traditional manual methods. Furthermore, designers reported that the AI-based system not only increased efficiency but also expanded creative opportunities by presenting previously unimaginable design alternatives. The study also highlights the broader implications of AI applications in fashion innovation, particularly in adapting industry practices to global sustainability demands. By reducing waste and encouraging smarter production systems, AI has the potential to catalyze the transformation of the fashion industry towards an environmentally friendly and resource-efficient sector. The results of this study reinforce the importance of implementing cutting-edge technologies in response to growing environmental concerns and market demand for sustainable fashion. This research also makes a significant contribution to the development of modern design approaches by presenting empirical evidence of the synergistic benefits of traditional techniques and digital intelligence, while also offering practical recommendations for designers, researchers, and industry stakeholders to utilize AI as a strategy in building a sustainable fashion ecosystem that balances creativity, efficiency, and environmental responsibility.

The research examined interactive text as a possible interactive form of pictorial communication for generation z meaningfully engaging on online platforms. By adopting a three-phase methodology towards design, realización and evaluation, the research examines how much movement, responsiveness and user interactivity influences the interpretation of the the communicative message and the emotional. The research uses an interweaving of methodologies. Methodology usability testing, engagement analytics and qualitative indicators, which indicate kinetic text, format variations, and animation responsive were more interesting, easier to understand, and shareable than static texts. Findings suggest participants read as a participant and active, as opposed to passive, which wasn't related to their use of interactions. At last the results deliver positioning for interactive text read as a new thinking strategies for the needs of generation z for authenticity and enable discourse regarding potential opportunities for augmented reality and artificial intelligence-enabled personalization

Digitalization has been a key catalyst for change in the global business landscape, driving the transformation of companies' strategies, organizational structures, and operational models. For small and medium enterprises (SMEs), digital technology opens up great opportunities to expand market reach and compete in the international arena more effectively. Technologies such as e-commerce, social media, big data analytics, and cloud-based platforms enable SMEs to break through geographical boundaries, facilitate access to global customers, and accelerate product distribution and marketing processes. This paper explores the current academic literature that discusses the influence of digital technology on the internationalization of SMEs. A total of five relevant studies were analyzed to identify common patterns, challenges, and successful strategies in the use of digital technology. The results of the study show that the adoption of digitalization not only improves operational cost efficiency, but also encourages business model innovation, such as digital platform-based marketing, cross-border virtual collaboration, and the development of a more adaptive global business ecosystem. In addition, the ability to utilize digital technology gives SMEs a competitive advantage through access to real-time market information, personalization of offers, and more targeted branding strategies. However, the research also found obstacles, such as limited human resources, technological infrastructure, and digital literacy among SMEs. Therefore, synergy is needed between business actors, the government, and academia to support the acceleration of digital technology adoption through training, mentoring, and policies that support innovation. The paper also highlights future research opportunities, such as the integration of artificial intelligence (AI) technologies, automation, and blockchain in supporting the global expansion of SMEs. These findings are expected to be a strategic reference in designing sustainable internationalization policies in the digital era.

The accounting profession is undergoing significant transformation due to the advancements and integration of Artificial Intelligence (AI), which offers opportunities to enhance and restructure various accounting tasks. A crucial factor in this shift is the ability of accountants to rapidly adjust to these changes by developing the essential skills and knowledge required to effectively collaborate with AI technologies, while also addressing concerns about job security. This study aims to explore the influence of Artificial Intelligence on accounting by conducting a systematic review of existing literature. Results indicate that although current accounting practices incorporate technology to streamline processes and boost efficiency, there is concern that limited AI proficiency may reduce job prospects for accountants. This research contributes valuable insights into the challenges and potential advantages AI poses for the profession. It also emphasizes the need for proactive measures to equip future accountants for an AI-driven work environment.

In today’s fast-evolving technological landscape, this study examines the profound integration of Artificial Intelligence (AI) into accounting and its far-reaching effects on the future of Nigeria financial markets. The incorporation of AI represents a fundamental shift in accounting, moving beyond conventional practices and ushering in unprecedented efficiency and advanced analytical capabilities. This transformation is instrumental in redefining accounting standards and influencing the broader economic dynamics of the financial sector. This paper aims to analyze the complex role of AI in accounting, evaluating its benefits, obstacles, and long-term potential. By connecting technological advancements with real-world accounting applications, the study provides an in-depth exploration of how AI is revolutionizing financial processes, its economic impact on Nigeria markets, and the balance between its advantages and inherent challenges. Additionally, the research proposes actionable strategies for optimizing AI adoption in accounting. The findings highlight that AI integration marks a critical advancement in accounting, improving precision, productivity, and strategic decision-making. Nevertheless, it also introduces hurdles such as workforce reskilling and ethical dilemmas. To address these challenges, the study recommends educational enhancements, policy adjustments, and cross-disciplinary cooperation to maximize AI’s potential in accounting. As a foundational contribution, this paper presents a compelling discussion on AI’s transformative role in accounting and its wider economic consequences, paving the way for future research and practical applications.

This study investigates whether artificial intelligence (AI) can generate credible accounting research articles. If AI is capable of producing high-quality academic work, the authenticity and reliability of scholarly research could be at risk. Design/methodology/approach – Using ChatGPT, a research paper was generated on a meta-analysis examining the link between sustainability reporting and value relevance. After the initial draft was produced, references were manually inserted based on the citations provided by ChatGPT. The paper was then submitted unchanged for peer review. Findings – The AI-generated paper was of reasonably high quality, receiving two major revisions from independent experts in accounting and finance. While concerns remain about the accuracy of references and the validity of results, there is a possibility that reviewers might deem the paper publishable, as they are not obligated to verify every citation or replicate findings if the methodology appears sound. Originality/value – AI’s role in academic writing is still emerging, and its long-term implications for research integrity remain unclear. This issue is particularly pressing given the rapid advancements in AI technology.

The advent of ChatGPT, a generative AI technology, has initiated significant transformation within the finance sector by allowing users to engage with digital systems using natural language. Despite its promising capabilities, integrating ChatGPT into financial operations introduces a host of ethical concerns that must be rigorously addressed to ensure its appropriate and conscientious use. This policy-focused article begins with a brief overview of ChatGPT’s utility in financial contexts and then examines the ethical dilemmas it raises. These include biased decision-making outputs, the risk of misinformation influencing financial outcomes, data privacy and security vulnerabilities, opacity in algorithmic processes, the displacement of human workers, and complex legal implications. We argue that financial entities adopting ChatGPT have a responsibility to develop and implement comprehensive strategies aimed at mitigating these ethical risks. In support of this goal, we outline policy recommendations designed to directly address these pressing issues. Ultimately, this article emphasizes the urgent need for a robust ethical framework to guide the deployment of ChatGPT in financial environments, ensuring that its implementation benefits both individuals and society. Furthermore, we highlight key areas for future research that can support ongoing efforts to integrate AI responsibly in finance.

The digital literacy program implemented at the As'ad Islamic Boarding School in Jambi City aims to improve the digital skills of teachers and students through the use of information and communication technology, specifically Google Workspace and artificial intelligence (AI). The program consists of four training sessions that include an introduction to Google Docs, Google Sheets, Google Classroom, and the use of ChatGPT as a learning tool. This training is designed to introduce digital technology to participants who previously had limitations in using technology-based applications. Evaluation was conducted through interviews and direct observations that showed a significant improvement in the digital skills of participants, although challenges related to limited devices and internet connectivity remained major obstacles. The positive impact of this program is expected to serve as a model for the development of digital literacy in other remote areas and support the transformation of technology-based education in Indonesia.

The development of Artificial Intelligence (AI) has brought significant transformations across various sectors, including legal education. Law students, as future legal professionals, must understand both the opportunities and challenges posed by AI. Nowadays, there is no comprehensive regulation governing the use of AI in legal education, raising concerns abour legal gaps, academic intregrity, and graduate competency. This study aims to analyze the impact of AI on law students and highlight the urgency of establishing regulatory frameworks for its use. The research employs a qualitative method with a normative juridical approach. The findings indicate that while AI can enhance the productivity of law students, it also has the potential to erode critical thinking skills and endanger students’ personal data if misused. Therefore, regulations are needed to define clear boundaries for AI use, ensure source transparency, and strengthen legal education curricula to adapt to technological advancements.

Currently, the digital era has penetrated most sectors of humanity, where one of the people who are penetrated is the Indonesian people. Data shows that internet users in Indonesia have reached 221 million, equivalent to 79.5 percent of Indonesia's total population. Indonesia is one of the countries with the largest number of internet users in the world. Some of them are the use of Artificial Intelligence in driving, in digital marketplace services, and in responding to consumer complaints. However, these things are not entirely free from the potential adverse risks that can befall consumers. So far, the Indonesian Positive Law regulation has not yet reached the regulation of the impact of potential adverse risks to consumers who use products containing Artificial Intelligence. On the other hand, the European Union has already regulated the impact of adverse risks in the use of Artificial Intelligence. Therefore, this research will try to adopt the norm from the European Union and initiate it as an answer to the regulation of the impact of risks in the utilization of Artificial Intelligence in the perspective of Indonesian Law.

In the era of data-driven digital commerce, Artificial Intelligence (AI)-based product personalization has become a key strategy to enhance user experience and foster customer loyalty. However, in the Indonesian e-commerce landscape, there remains a lack of empirical understanding of how personalization systems influence long-term user engagement. This study investigates the impact of AI-driven product personalization on customer loyalty among Indonesian e-commerce users. Employing a mixed-methods approach, quantitative data were collected through an online survey of 150 active users, and qualitative insights were obtained from in-depth interviews with six informants. Statistical analysis using simple linear regression revealed that personalization significantly influences customer loyalty, with a beta coefficient of 0.653 (t = 8.241, p < 0.001) and an R² value of 0.567. Qualitative findings highlight user concerns over recommendation accuracy, interface overload, and repetitive suggestions, which affect emotional satisfaction and platform attachment. This research contributes to the growing body of knowledge on AI adoption in e-commerce by integrating behavioral and technological dimensions of loyalty formation. It also offers practical implications for designing more context-sensitive personalization systems that prioritize not only algorithmic precision but also user control and experience quality.

The advancement of artificial intelligence (AI) technology and social media has significantly influenced the dynamics of societal life, including women. Social media offers a space for the empowerment of women, but at the same time, it also presents various risks such as privacy violations, digital violence, and misuse of personal data. This community service activity aims to strengthen digital literacy among women, particularly in raising awareness of digital risks, protecting digital rights, and promoting safe and responsible social media use. The implementation methods of the activities include outreach in the form of workshops, discussion forums, and case simulations. The results of the activities indicate that there has been an increase in participants' knowledge about privacy in the digital world, forms of gender-based violence in the online realm, and strategies for preventing digital risks. This program is expected to serve as a model for empowering women through the enhancement of digital literacy in responding to the challenges of an increasingly digitalized era.

Digital advertising has changed a lot, especially with the emergence of AI. AI allows companies to create more personalized and relevant ads, which improves the performance of their marketing campaigns. Significant ethical challenges must be addressed behind this innovation. One of the main issues is how AI can be used to generate unethical or even illegal content. This study uses a qualitative approach using a case study method on the CrushOn AI application that advertises on media platforms such as Meta. The results of the study showed that there were violations in the application because there were elements of pornography and porn action, considering that currently users of applications such as Instagram and Facebook are young teenagers, this is considered negative because it has violated the EPI book. There is a need for a clear ethical and regulatory framework for the use of AI technology in advertising. Collaboration with stakeholders, including advertisers and social media platforms, is essential to support ethical advertising practices.