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Learning tools are very meaningful documents for teachers in planning a regular and meaningful learning process. In this digital era, the use of technology such as ChatGPT and Canva can help teachers in compiling RPP, LKPD, and interesting teaching materials. The purpose of this study was to assess the effectiveness of training in the use of ChatGPT and Canva in improving the skills of junior high school teachers in creating teaching tools. Through a training approach involving the participation of 12 teachers, it was found that 95% of participants felt more efficient, creative, and confident after using these two applications. These findings indicate that artificial intelligence and visual design technology have great potential to support teacher professionalism in the era of the Independent Curriculum.

This study aims to examine the trends and applications of technology in educational research, which are rapidly evolving along with digital advances and the need for adaptive learning. Phenomena such as big data, artificial intelligence (AI), and online learning have changed the way research is conducted, both in terms of data collection and analysis. Through a qualitative descriptive approach, this study analyzes various applications that support the effectiveness of educational research and the challenges faced in their use. The results show that trends such as the use of AI, big data, and mixed methods contribute significantly to the validity and efficiency of educational research. However, challenges such as low technological literacy, data security risks, and infrastructure limitations remain major obstacles. These findings are expected to be the basis for formulating data-based educational policies and developing more innovative research methods.

The use of Artificial Intelligence (AI) in education offers significant opportunities to transform learning processes, including in Catholic Religious Education (CRE) at the senior high school level. This article aims to identify effective and ethical strategies for integrating AI into CRE instruction by considering Catholic faith values and students’ character development. The study uses a qualitative literature review approach to analyze scholarly sources and current practices of AI application in education. Findings indicate that AI can enhance personalized learning, provide real-time feedback, and create more interactive and context-rich learning experiences. Practical implementations such as adaptive learning systems, chatbots, and AI-based simulations have shown positive impacts on students' comprehension. However, challenges including teacher readiness, technological infrastructure, and ethical concerns must be addressed seriously. Therefore, integrating AI in CRE must be done thoughtfully, responsibly, and in harmony with religious and moral contexts. With careful planning, AI can become a valuable tool to deepen students' faith understanding and support holistic character formation in the digital age.

The digitalization of healthcare services has emerged as a pivotal catalyst in modernizing Indonesia’s health system, delivering enhanced efficiency, accessibility, and integrated service quality. This study employs a qualitative literature review approach to explore the implementation of digital transformation strategies in hospitals, with a particular emphasis on ethical challenges and patient data security. The findings reveal that the adoption of technologies such as artificial intelligence, Internet of Things, and telemedicine accelerates service delivery and broadens medical outreach, especially in remote areas. Nevertheless, critical issues arise concerning the vulnerability of health data to breaches, misuse, and cyber threats, exacerbated by uneven digital infrastructure and limited technological literacy among healthcare professionals. Proposed strategies include strengthening data protection regulations, improving human resource capacity, and fostering cross-sectoral collaboration to establish a secure and ethical digital healthcare ecosystem. Through comprehensive management of these challenges, healthcare digitalization is expected to expedite the achievement of SDG 3 and bolster public trust in the national health system.

Teachers are under increasing pressure to deliver personalized, standards-aligned instruction while managing time constraints and rising workloads. Traditional lesson planning often limits creativity and adaptability due to its complexity and repetitive demands. In response, Artificial Intelligence (AI) has emerged as a promising tool to support instructional planning. This study highlights how AI enhances teacher efficiency, simplifies administrative tasks, and supports differentiated, data-driven instruction. However, these benefits require thoughtful and responsible integration. AI adoption must include safeguards for data privacy, ensure algorithmic transparency so teachers understand the basis of system recommendations, and actively mitigate systemic bias that may disadvantage certain learner groups. Most importantly, teachers should remain actively involved in reviewing and adapting AI-generated content to preserve professional judgment and uphold pedagogical integrity.

The information technology revolution has drastically changed the world of education, especially in the context of learning evaluation. The implementation of Artificial Intelligence (AI) offers an innovative solution to replace traditional assessment methods that are often unable to measure student competencies comprehensively. With real-time data analysis capabilities, AI can provide more personalized and adaptive assessments, helping students understand their learning process better. This study aims to explore the impact of AI on educational evaluation, identify benefits and challenges, and recommend best practices for AI integration. The method used is a literature review with a descriptive analytical approach, collecting various relevant studies to support the analysis. The results of the study indicate that AI has the potential to revolutionize the education evaluation system in Indonesia by increasing the accuracy and efficiency of assessments. However, challenges such as limited infrastructure and lack of educator competence remain a concern. Therefore, collaboration between the government, educational institutions, and industry is needed to create an adaptive and responsive learning ecosystem. With the right investment in AI technology, the future of learning evaluation is expected to be more accurate and effective, preparing students to face challenges in the digital economy era.

The digital era has brought about a major transformation in the way organizations manage and utilize data. Data management is a key strategy in supporting decision-making based on accurate, fast, and relevant information. However, the rapid growth of data volume, diversity of sources, and complexity of data integration and security pose challenges in its management. These challenges include issues of data quality, inconsistency, duplication, and limitations in infrastructure and human resource capabilities. In addition, demands for compliance with regulations such as GDPR and the Personal Data Protection Act add to the complexity of ethical and responsible data management. On the other hand, technological developments such as big data analytics, artificial intelligence, the Internet of Things (IoT), and cloud computing present great opportunities to improve the efficiency and effectiveness of data management processes. Organizations that are able to adopt a data-driven approach and apply good data governance principles will gain competitive advantage, accelerate innovation, and improve customer satisfaction. This article comprehensively discusses the challenges and opportunities in data management from a data management perspective, and presents a framework for building an adaptive and sustainable data management strategy in the digital era. With a literature analysis and case study approach, this article aims to provide conceptual and practical contributions for organizations that want to optimize the potential of data as a strategic asset.

Innovation strategy is a crucial approach to enhancing organizational competitiveness, especially in the digital era marked by rapid technological advancement and increasingly complex competition. This study aims to analyze how innovation strategies can be effectively implemented to improve organizational competitiveness, while also identifying key supporting factors such as digital transformation, innovative culture, external collaboration, leadership, and data-driven decision-making. The research method employed is literature review, drawing from various theoretical frameworks and previous studies. The findings indicate that integrated innovation strategies—including digital process transformation, development of digitally competent human resources, and the establishment of an adaptive organizational culture—significantly contribute to overall organizational performance improvement. The application of advanced technologies such as artificial intelligence and big data also enhances the organization's ability to understand stakeholder needs and design targeted solutions. This study emphasizes that innovation is no longer an option, but a fundamental necessity to ensure organizational sustainability, relevance, and competitive advantage in the digital age.

This study investigates the implementation and effectiveness of artificial intelligence-driven adaptive learning platforms in English as a Foreign Language (EFL) classrooms across urban and rural Indonesian educational settings. Through a mixed-methods approach involving 247 students and 12 teachers from eight institutions, this research comparatively analyzes three prominent AI language learning platforms: LinguaLearn AI, AdaptEd English, and AI Tutor Pro. The findings reveal significant differences in learning outcomes, with AI-enhanced platforms demonstrating a 27% improvement in language proficiency compared to traditional methods. However, implementation challenges including digital literacy barriers, internet connectivity issues, and cultural adaptation requirements were identified, particularly in rural contexts. The study proposes a contextually responsive framework for integrating AI language learning technologies in developing EFL environments, contributing to the growing discourse on educational technology in linguistically diverse settings. This research highlights the potential of AI to personalize language acquisition while emphasizing the necessity of culturally and infrastructurally appropriate implementation strategies.

The digital era has fundamentally transformed the educational paradigm. This research examines the transformation of teachers' roles in addressing digital technology developments, particularly artificial intelligence (AI) and social media. The purpose of this study is to analyze the importance of technology literacy and digital ethics for teachers in creating adaptive and relevant learning environments. A literature review methodology is employed to identify key components required for teachers to transform into adaptive educators. The findings indicate that teachers need to develop five core competencies: understanding digital tools, critical information evaluation, interactive learning design, facilitating independent learners, and implementing technology ethics. This research contributes to developing a framework for adaptive teachers capable of utilizing technology as an opportunity rather than a threat in the educational process.

The continuous development of technology compels companies to consistently adapt to advancements across various aspects of life. Digital transformation has become an essential need for many organizations today as a strategy to improve service quality and operational efficiency. Alfamart, one of Indonesia's leading retail companies, is currently adopting digital transformation in its business processes. The acceleration of digital transformation in Indonesia necessitates the application of digital technology as a basic platform to support the Industry 4.0 ecosystem, leveraging technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI), and augmented reality. This research employs a qualitative approach and descriptive analysis method to evaluate the impact of digital transformation on PT. Sumber Alfaria Trijaya, Tbk (Alfamart), specifically at the Nangahure unit located in Sikka Regency. Analysis is conducted through data reduction, data presentation, and conclusion drawing stages. The research results indicate that the management system at Alfamart Nangahure has been applied in a structured manner and in accordance with the policy standards set by the headquarters. The system includes a well-organized organizational structure, efficient operational management, systematic human resource management, as well as regular evaluation and monitoring processes that support the achievement of store operational targets.

In the digital era that increasingly emphasizes human-computer interaction, the existence of an interface system that is not only functional but also able to understand the emotional state of the user is becoming increasingly important. This study aims to explore the effectiveness of empathetic interfaces in chatbot systems designed to respond adaptively to user moods. Empathetic chatbots are defined as artificial intelligence-based conversational agents that are able to recognize and adjust their verbal responses to user emotional expressions through linguistic analysis and non-verbal data such as response time and word choice. This study uses an experimental approach involving 60 participants from among students who interact with two types of chatbots: standard chatbots (non-empathetic) and empathetic chatbots. The analysis methods used include measuring the level of user satisfaction, empathy perception, and emotional comfort through a Likert scale questionnaire and quantitative data processing using a paired T-test.

This literature review analyzes the transformative potential of digital learning media in revitalizing Indonesian traditional music, with a particular focus on Gambang Kromong innovation within the framework of Society 5.0. Traditional music, as the foundation of cultural identity, faces significant threats from globalization and modernization, resulting in declining interest, especially among the younger generation. This approach examines how digital technologies can serve as a catalyst for the preservation, learning and dissemination of traditional music, transforming it from a marginalized status to one of contemporary relevance. The report synthesizes existing literature to identify key trends, benefits derived from the use of technologies such as Digital Audio Workstations (DAWs), Virtual Reality (VR), Augmented Reality (AR), Artificial Intelligence (AI), gamification, and online and social media platforms. In addition, the report discusses inherent challenges, including the digital divide, the need for increased educator competencies, and intellectual property rights issues, while highlighting opportunities for collaboration and global audience reach. The conceptualization of "Gambang Kromong 5.0" is proposed as a holistic model that integrates traditional essence with intelligent technological advancements in a human-centric manner, ensuring cultural survival and artistic relevance in the digital age.

The integration of Artificial Intelligence (AI) in education has introduced a more responsive and personalized learning approach. This study aims to examine the correlation between the intensity of AI usage and students’ learning outcomes. Employing a quantitative approach, the research utilized Pearson Product Moment correlation analysis. A total of 27 students, selected through purposive sampling and known to actively use AI in their learning process, participated in the study. Prior to the correlation analysis, the data underwent validity, reliability, normality, homogeneity, and linearity testing. The results confirmed that the instrument met the criteria for validity and reliability (Cronbach’s Alpha = 0.824), with data distribution being normal and homogeneous, and the relationship between variables being linear. The Pearson correlation coefficient of r = 0.583 with a significance value of p = 0.001 indicates a statistically significant and moderately strong positive relationship. These findings suggest that AI plays a meaningful role in enhancing students’ learning effectiveness. Therefore, it is essential to provide guidance and development efforts to ensure AI is utilized ethically and educationally to optimize its impact in academic settings.

The development of Artificial Intelligence (AI) technology has led to the creation of various works, including images generated without direct human involvement. One of the platforms that facilitates the buying and selling of AI-generated images is Adobe Stock. However, this raises legal issues regarding ownership status and copyright protection of such images, considering that Indonesia's positive law has not explicitly regulated ownership of works produced by non-human entities. This research aims to examine the legality of ownership over images generated by Generative AI in transactions through Adobe Stock and to analyze its compatibility with the Indonesian legal system. This study uses a normative juridical method with statutory, case, comparative, and conceptual approaches, as well as a literature study relevant to the issues discussed. The results show that under the Indonesian legal system, a work must have a creator who is a legal subject. Therefore, images generated by AI cannot automatically be granted copyright status unless there is significant human intervention in the creation process. In transactions through Adobe Stock, the platform's policy serves as the main reference in determining ownership and legal responsibility over AI-generated images. The legality of AI-generated image ownership in Indonesia remains a gray area and requires regulatory updates to accommodate technological developments. Legal clarity is needed to protect parties involved in AI-based digital transactions and to ensure legal certainty in the protection of creative works.

The integration of telemedicine and artificial intelligence (AI) into critical care has emerged as a revolutionary development in the healthcare sector, aiming to enhance patient care and outcomes. This research aims to explore the impact of these technologies on improving the quality of patient care in intensive care units (ICUs). A systematic review of recent studies published between 2018 and 2023 was conducted to analyze the role of telemedicine in improving access to healthcare and the application of AI in enhancing diagnostic accuracy and monitoring patients in real-time. The findings suggest that both telemedicine and AI significantly reduce response times, improve decision-making processes, and increase the accuracy of diagnoses, which ultimately contribute to better patient safety and outcomes. The research also highlights challenges, including infrastructure limitations and the need for specialized training for healthcare professionals. The study’s implications underline the importance of integrating these technologies in critical care units to improve overall healthcare delivery, while addressing barriers to implementation. Future research should focus on overcoming these challenges and exploring long-term outcomes of technology use in critical care environments.

The skin and hair care industry has experienced rapid growth in recent years. As the digital ecosystem becomes more established, various local products have the opportunity to emerge and exist in the market. Among the local products that have just emerged and found a place in the hearts of consumers is Lavojoy. Research on digital marketing strategies for imported products has been carried out very often, while for local products, especially skin and hair care products, has not been done much. This study aims to analyze Lavojoy's digital marketing strategy in increasing consumer loyalty. The research was conducted using a descriptive qualitative approach. Research data were obtained from the results of digital observations and data searches in various popular site databases related to the research problem. The results of the study show that the digital utilization strategy allows Lavojoy to build a loyal customer community through interactive content, collaboration with influencers, and active engagement through live and polling features. Two-way interactions carried out on Instagram, TikTok, and YouTube have a significant impact on brand awareness and customer emotional attachment to the brand. In addition, e-commerce optimization carried out through exclusive promo strategies, cashback, loyalty programs, and live shopping features has succeeded in increasing customer retention and encouraging repeat purchases. To increase the effectiveness of digital marketing strategies in the future, Lavojoy is advised to increase personalization in digital marketing by utilizing artificial intelligence (AI) and customer data analysis to offer a more personalized shopping experience, as well as developing content and product recommendations tailored to each customer's preferences, both through social media and e-commerce.

Artificial Intelligence (AI) can be a transformational tool in Christian Religious Education in the digital era. Technological advancements bring significant changes to the way we learn and teach, including religious education, which demands innovative methods to remain relevant to the younger generation increasingly connected to technology. AI offers various opportunities to enrich the learning experience and deepen the understanding of Christian values through a more personal and interactive approach. This article discusses several AI applications in Christian religious education, such as virtual assistants for spiritual guidance, in-depth Bible text analysis, and adaptive learning platforms that can tailor materials to the needs of learners. With AI technology, Christian religious education can provide more interactive and responsive modules, allowing learners to delve into religious teachings both individually and in groups. Additionally, the use of AI in analyzing learning behavior allows for more effective curriculum personalization according to the spiritual needs of each individual. This approach can address the challenge of maintaining the relevance of religious values amidst the rapid influx of digital information. This article also examines the potential of AI in aiding faith development, for example through spiritual reflection applications tailored to the user's spiritual growth. This transformation is expected to prepare a generation of Christians who are not only technologically savvy but also spiritually strong, and empowered to face moral and ethical challenges in the future. Thus, AI-based Christian Religious Education can be a pathway to building a relevant and dynamic spiritual future in the digital era.

The development of drone technology and artificial intelligence (AI) has presented great opportunities in various sectors, but at the same time opened up new loopholes for potential terrorist attacks. This article analyzes the shift in terrorism attack strategies from traditional manual methods to the use of drone-based autonomous systems and AI. Through a descriptive qualitative approach and literature review, this study explores how this technology is used to improve the effectiveness, anonymity, and scale of attacks. The study also discusses threats arising from AI-based drone swarm capabilities, potential cyberattacks on drone systems, and global regulatory lags in anticipating these threats. In addition, this article offers policy recommendations to strengthen national defense systems against the increasingly complex and automated evolution of terrorism threats. These findings are expected to be an early contribution to the development of counter-terrorism strategies that are adaptive to technological advances.

The advancement of information and communication technology in the era of the Industrial Revolution 4.0 has given rise to various digital innovations, one of which is deepfake technology that utilizes artificial intelligence and machine learning to manipulate audio-visual content convincingly. Although it has positive potentials in entertainment and education, the misuse of deepfake on social media has caused various legal and ethical issues, such as the spread of hoaxes, defamation, privacy violations, and non-consensual pornography. This study aims to analyze the use of deepfake from the perspective of Indonesian law, particularly through Law Number 11 of 2008 on Electronic Information and Transactions (ITE Law) and its amendments. Using a qualitative descriptive approach and literature study methods, this research examines the technical aspects of deepfake development, the relevance of ITE Law articles in regulating manipulative content, and the challenges of law enforcement amid low digital literacy in society. The findings show that although there are no explicit provisions concerning deepfake in the ITE Law, several articles can serve as a legal basis to prosecute offenders, albeit with interpretative and technical implementation challenges. Therefore, regulatory updates and improvements in digital literacy are necessary to prevent and effectively handle the misuse of deepfake technology.