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This study discusses the phenomenon of digital entrepreneurship in the era of global climate awareness, focusing on the integration of artificial intelligence (AI) ethics, sustainable technology, and green innovation. The main issues raised are the fragmentation of analysis between digital business ethics, green economic opportunities, and technological challenges such as greenwashing, high AI energy consumption, and the digital divide. The purpose of this study is to formulate an interdisciplinary framework that combines ethical, technological, and sustainability dimensions to strengthen the role of digital entrepreneurs in achieving low-carbon development. The methods used include critical literature analysis, bibliometrics of 200 publications (2018-2025) using VOSviewer, and fuzzy logic-based simulations using the UNESCO AI ethics framework (2021) and the sustainable business model of Bocken et al. (2014). The results show four main research clusters: AI for Sustainable Innovation, Ethical Digital Business, Blockchain for Green Supply Chain, and Circular Digital Economy. The application of AI ethics increases the efficiency of green business decisions by up to 20%, consumer trust by 17%, and MSME participation by 14%. The synthesis of findings confirms that AI ethics acts as a conceptual mediator that strengthens the link between technological innovation and sustainability. In conclusion, ethical digital entrepreneurship has great potential as a driving force for Indonesia's green economy, but it requires digital ethics audit policies and the adoption of low-carbon technologies to address ethical and environmental risks in the AI era.

The development of digital technology has driven the  increasing use of e-modules as interactive learning media that support  independent and collaborative learning. The integration of pedagogical approaches and multimedia technology makes e-modules increasingly adaptive and effective in developing higher-order thinking skills. This study aims to map trends in the development and utilization of e-modules through a Systematic Literature Review (SLR)  of Scopus articles published in 2020–2024. From the selection process, 20 articles were analyzed based on their pedagogical approach, as well as the media and digital platforms used. The study results show that pedagogical approaches such as Problem-Based Learning, STEM, SETS, Discovery Learning, and Guided Inquiry have been consistently proven to improve critical thinking skills, learning outcomes, and 21st-century competencies. From a technological perspective, Android and flipbook platforms are the primary choices due to their flexible access and multimedia support such as video, animation, simulations, and interactive quizzes. These findings emphasize the importance of developing systematic, pedagogically-based e-modules supported by interactive multimedia.  Further research is needed to explore the integration of AR/VR, gamification, and artificial intelligence.   

This Community Service (PKM) activity aims to improve artificial intelligence (AI) literacy in students majoring in Visual Communication Design (DKV) at SMK Muhammadiyah 2 Palembang through Canva-based training. The development of AI technology has brought about a significant change in the world of graphic design, where features such as Magic Design, Text-to-Image, and Background Remover are now widely used to support the creative process. However, most vocational school students are still passive users, lacking an understanding of the AI principles behind the technology. Through a Project-Based Learning (PjBL) and Active Learning approach with a demo–practice–reflection model, this activity is designed so that students are not only able to use the AI features in Canva, but also understand the work concepts, benefits, and ethics of using them. The activity was conducted over two days, involving 30 DKV class XI students. The evaluation of the results showed a significant increase in the aspects of understanding AI concepts (48%), motivation to learn design (35%), and creativity of works (32%). Students also show an increase in learning independence and digital ethical awareness. These results confirm that AI-based learning through Canva is effective in building AI literacy, creativity, and student readiness to face the technology-based creative industry. This activity is recommended to be expanded to teachers and other departments to strengthen digital literacy in the vocational education environment.  

Waste has become a serious environmental problem in Indonesia, which continues to increase along with population growth. The issue of waste management poses serious challenges for the environment, especially in the process of separating organic and inorganic waste. In the field of computer vision, recognising the type and shape of waste through camera images remains a challenge due to variations in shape, colour, and complex lighting conditions. Therefore, this problem utilises Deep Learning technology, which is expected to be widely applied in Indonesia, especially in large cities with high waste volumes. This study aims to distinguish between organic and inorganic waste using the Convolutional Neural Network (CNN) method based on digital images. The developed CNN model was trained to recognise the visual patterns of each type of waste and tested to measure its accuracy. The test results show that the CNN-based classification system is capable of achieving an accuracy rate of 95%, thus proving the effectiveness of this method in supporting artificial intelligence-based automatic waste sorting systems.

Digital transformation has emerged as a major catalyst for reform in contemporary public administration, reshaping how governments design, deliver, and evaluate public services. This literature review synthesizes key findings from international studies to map the dynamics of technological innovation and bureaucratic adaptation in the era of digital government. The results demonstrate that technologies such as artificial intelligence, blockchain, cloud computing, and the Internet of Things accelerate administrative processes, enhance accuracy, reduce service costs, and strengthen transparency and accountability. However, the review also emphasizes that technological advancement alone is insufficient; the success of digital transformation depends on the capacity of public institutions to reorganize work structures, build digital competencies, and shift bureaucratic culture toward more adaptive and collaborative practices. Furthermore, digital participation platforms have expanded opportunities for citizen engagement, yet persistent digital divides—driven by socio-demographic disparities and unequal access to infrastructure—pose significant challenges to inclusive participation. The literature also reveals recurring barriers related to infrastructure readiness, cybersecurity, resistance to change, and limited digital literacy among public employees. Cross-country evidence from Turkey, Singapore, Italy, Iran, and the UAE shows similar transformation patterns, highlighting bureaucratic adaptation as a mediating factor between technological innovation and governance outcomes. Overall, this review offers an integrated conceptual understanding of digital transformation in public services and underscores the need for holistic strategies that combine technological investment, organizational reform, and inclusive governance to ensure sustainable and equitable digitalization.

Leadership plays a crucial role in realizing digital transformation. Leaders who possess the ability to lead and utilize technology are called digital leaders. The era of information technology development, artificial intelligence, and the use of big data in the government sector will help improve services and accelerate work. The purpose of this study is to determine the role of digital leadership in digital transformation in the government sector. The research method used is a qualitative method with a literature study approach. The results show that the role of digital leadership is crucial in realizing digital transformation. By utilizing information technology, work processes in the government sector will be increasingly facilitated. In addition, the use of big data will simplify the decision-making process by leaders. Digital leadership also influences organizational culture, creating an environment that is more adaptive to technological changes. This enables government organizations to innovate more quickly in facing global challenges and increase operational efficiency. Furthermore, digital leadership also encourages collaboration between government agencies to achieve the common goal of accelerating digital transformation.

This study aims to analyze the basic skills of 21st-century teachers that play a role in creating creative and collaborative learning. Technological developments, changes in student characteristics, and modern educational demands place teachers in the role of facilitators who must master critical thinking, creativity, communication, collaboration, and the ability to integrate technology into the learning process. The results of the study show that mastery of these skills can increase student activity, motivation, and interaction, while also encouraging problem-solving and cooperation skills. In addition to pedagogical aspects, teachers' psychological readiness and attitudes toward the use of technology, including artificial intelligence, also influence the effectiveness of its application in the classroom. This study emphasizes the importance of continuous training, the development of relevant learning media, and institutional support so that teachers can adapt to the changes of the digital era. Thus, the basic skills of 21st-century teachers are an important foundation in realizing innovative and relevant learning for the needs of students.  

This study aims to simulate the M/M/1 queueing system using Python through a Modeling and Simulation approach supported by the Discrete-Event Simulation (DES) method. The objective of the research is to analyze key performance indicators of queueing behavior, including arrival time, service time, waiting time, queue length, and server utilization. The methodology employs DES, which models system behavior based on discrete events such as customer arrivals, service initiation, and service completion. The simulation generates stochastic arrival and service times using Poisson and exponential distributions, respectively. The results indicate that the DES-based M/M/1 simulation accurately reflects theoretical queueing behavior, showing increases in waiting times and queue lengths when arrival rates approach service rates, while server utilization corresponds to system load intensity. The findings demonstrate that DES is an effective approach for analyzing queue performance and can be extended to more complex models such as multi-server systems, priority queues, and predictive simulations using artificial intelligence.

The utilization of Artificial Intelligence (AI) in the workplace has expanded rapidly, focusing not only on improving efficiency but also on strengthening human resource capacity. This review article aims to analyze the contribution of AI in supporting the development of soft skills and the formation of adaptive professional personalities. The method employed is a literature review of academic publications related to the use of AI in developing nontechnical competencies. The findings indicate that AI has been proven to enhance efficiency and productivity through the automation of routine tasks, faster data analysis, and more precise decision-making support. However, the success of AI implementation does not lie in replacing human roles but rather in harmonizing the functions of machine intelligence with the unique abilities of humans, such as empathy, intuition, creativity, and ethical reasoning. Human–AI collaboration emerges as a key approach to ensuring that technology remains human-centered, enabling digital transformation to proceed ethically, inclusively, and sustainably. Additional findings show that AI is capable of providing personalized learning, real-time feedback, and contextual simulations that effectively train communication, collaboration, problem-solving, creativity, and critical thinking skills. Human-centered AI integration also supports the development of professional personalities that are adaptive and responsive to change.

Learning at the elementary school level requires the use of methods that are interesting, interactive, and appropriate to the development of students. This study aims to evaluate the effectiveness of using artificial intelligence (AI)-based animated videos in improving conceptual understanding and learning motivation of second-grade students at MI Miftahul Ulum Kranjingan, Jember. AI-based learning media was chosen because it is able to present material visually, dynamically, and interactively, making it easier to understand for students who are at the concrete operational development stage. This study used a qualitative approach with data collection techniques in the form of observation of the learning process, interviews with teachers and students, and documentation of classroom activities. The results showed that the use of AI-based animated videos was able to increase students' interest and enthusiasm in participating in learning, clarify their understanding of the material presented, and encourage active participation in discussion activities and exercises. Overall, this study concluded that the application of AI-based animated videos is an effective medium for creating a more interactive, creative, and enjoyable learning process for second-grade elementary school students.  

The rapid digital transformation occurring in the field of education, particularly through the integration of artificial intelligence (AI), has created new opportunities for improving learning efficiency, personalizing instruction, and supporting educators’ workloads. However, these advancements also bring forth significant philosophical challenges, especially the potential for dehumanization within the educational process. This article examines how technology influences the fundamental human dimensions of learning and how the concept of humanization can serve as an ethical framework for designing and implementing educational technologies. AI-based digital learning environments often position learners as data objects, reducing the dialogical, empathetic, and relational aspects that are fundamental to humanistic education. Drawing on philosophical perspectives from existentialism and humanism, this study evaluates the potential threats to student autonomy, critical thinking, and character formation. Furthermore, it explores how the human–technology relationship can be ethically framed through the theory of technological mediation and Paulo Freire’s notion of liberatory education. The analysis indicates that technology can be humanized by emphasizing meaningful interaction, ensuring algorithmic transparency, and strengthening the role of teachers as mediators of values and empathy. Ultimately, the article argues that the benefits of AI in education can only be fully realized when technological development and implementation are guided by an ethical orientation that places human beings at the center. This study contributes to ongoing discussions on the role of technology in education and provides a critical perspective aimed at minimizing the risk of dehumanization in an era increasingly shaped by AI-driven digital learning.

The rapid advancement of generative artificial intelligence, particularly ChatGPT, has significantly influenced educational practices, including the teaching and learning of Islamic education. ChatGPT offers considerable opportunities by providing diverse instructional materials, expediting the preparation of teaching documents, and supporting personalized learning based on students’ abilities and learning preferences. Additionally, it functions as a supplementary learning resource capable of facilitating religious discussions, explaining abstract concepts, and fostering critical thinking skills through fast and adaptive feedback. Nevertheless, the use of ChatGPT in Islamic education also presents noteworthy challenges. The risks of misinformation and hallucination may affect students’ understanding, especially in religious matters that require high accuracy and reliable references. Other challenges include academic integrity concerns, excessive reliance on technology, content bias, and the model’s limited ability to interpret Islamic socio-religious contexts in Indonesia. Furthermore, disparities in digital literacy among teachers and students hinder optimal implementation. This article aims to provide a comprehensive analysis of these impacts and challenges by examining recent literature and empirical studies. The findings indicate that ChatGPT can offer substantial benefits for Islamic education learning when integrated critically and responsibly, supported by enhanced teacher competencies, clear institutional AI policies, and strong emphasis on ethics and source verification. Thus, ChatGPT holds the potential to serve as a strategic innovation for improving the quality of Islamic Religious Education in the digital era.

The era of automation has brought profound changes to the educational landscape through the integration of intelligent technologies, artificial intelligence, and digital systems that increasingly shape learning processes. This transformation not only affects the interaction patterns between educators and learners but also shifts foundational educational values and introduces significant ethical challenges. In the context of Islamic education, these changes require a reformulation of relevant educational values to preserve learners’ moral and spiritual integrity. This study aims to analyze Islamic educational values in the age of automation and examine their ethical implications for strengthening character education. Through a comprehensive literature-based approach, the study finds that values such as amanah (trustworthiness), adl (justice), ihsan (excellence), mas’uliyyah (accountability), and mujahadah (perseverance) serve as essential instruments in building learners’ character so they can use technology wisely and responsibly. Furthermore, the study emphasizes that automation demands the integration of digital literacy and Islamic moral literacy to prevent dehumanization, digital plagiarism, technology dependence, and the decline of spiritual awareness. The findings indicate that character education grounded in Islamic values provides a strong ethical framework for addressing emerging moral risks in the digital era. Therefore, curriculum reconstruction, strengthening the role of educators as “digital murrabbi,” and the proportional use of technology aligned with maqāṣid al-syarī‘ah are required. This research contributes by offering a comprehensive Islamic ethical perspective as a foundational framework for the development of character education amid the rapid and inevitable acceleration of automation.

The development of digital technology is transforming various aspects of life, including education, with Artificial Intelligence (AI) emerging as a significant innovation that has a profound impact. Socialization activities on the use of Artificial Intelligence (AI) at SMKN 4 Kota Bekasi aim to enhance technology literacy among students and educators. These activities aim to enhance the understanding and awareness of students and educators at SMKN 4 Kota Bekasi regarding the basic concepts of AI, its benefits and risks, as well as how to integrate it wisely into the learning process. The activities also aim to build awareness of the importance of adapting to technology and to encourage innovation in the field of education. The methods used in the socialization activities include material presentations, interactive discussions, and demonstrations of AI applications in education. The results of the activities show an increase in participants' understanding of the potential and challenges of AI, as well as readiness to utilize AI in the learning process. This socialization serves as an initial step in building an educational environment that is adaptive to technological developments and capable of producing a competent generation in the digital era.

This study aims to comprehensively identify and map various models, strategies, and approaches to Christian Religious Education (CRE) learning that integrate digital technology with Christian values and their relevance to the formation of moral character in Generation Z, and to analyze Christian principles that need to be maintained along with innovative learning strategies to overcome the moral challenges of Generation Z in the digital era. This research uses a literature review method by analyzing 25 scientific journal articles published in 2023-2025 through thematic analysis techniques. The results show that there are five models of digital technology integration in CRE learning: platform-based digital learning, contextual-digital learning, collaborative-participatory learning, artificial intelligence-based learning, and hybrid learning. Implementation strategies include the use of interactive multimedia content, social media ministry, online learning communities, digital project-based learning, and immersive technology. Christian principles that need to be maintained include the supremacy of God's Word, learning centered on relationship with God, the importance of faith community, digital integrity, and balance between digital and direct spiritual experiences. This research provides theoretical contributions in the form of comprehensive mapping of technology integration in CRE and practical contributions in the form of recommended learning strategies that can be implemented to shape the moral character of Generation Z in the digital era.  

This community service activity aims to strengthen teachers' capacity to manage deep learning through the utilization of artificial intelligence (AI) in elementary school classrooms. The rapid development of AI technology provides opportunities for teachers to design more personalized learning, conduct assessments efficiently, and make data-driven learning decisions. The program is implemented in three stages: preparation, execution, and evaluation. The preparation stage includes the development of training modules and mapping relevant AI applications to support deep learning. The execution stage consists of workshops, hands-on practice using AI applications, and collaborative development of teaching materials by teachers. Evaluation is conducted through reflective assessments, task performance evaluations, and follow-up interviews. The results of the activity show significant improvements in teachers' understanding of AI-based deep learning management, including the ability to use AI for lesson planning, formative assessment, and analyzing students' learning progress. Teachers also reported increased confidence in integrating AI into teaching activities and recognized the benefits of AI in promoting students' higher-order thinking skills. This program demonstrates that strengthening teachers' competencies in utilizing AI can enhance the quality of deep learning management in elementary schools.

This study aims to analyze user sentiment toward the integration of Artificial Intelligence (AI) in online learning platforms, which are increasingly expanding in the digital era. With the growing use of AI technologies in education—such as learning chatbots, material recommendation systems, and automated assessments—it is essential to understand users’ perceptions and reactions to these implementations. The research employs sentiment analysis based on text mining using user review data collected from various online learning platforms. The analysis process includes data preprocessing, sentiment classification using machine learning algorithms, and interpretation of results based on the proportion of positive, negative, and neutral sentiments. The findings indicate that most users express positive sentiments toward AI integration, as it enhances learning efficiency and personalization. However, some users raise concerns regarding data privacy and the lack of human interaction. This study is expected to serve as a reference for educational platform developers to design AI systems that are more adaptive, transparent, and user-centered

The development of artificial intelligence (AI) technology offers new opportunities to enhance the effectiveness of teaching and learning processes. However, the level of understanding and utilization of AI in vocational school environments remains varied. The socialization activity on the use of AI at SMK Negeri 4 Padangsidimpuan was carried out as an effort to improve digital literacy, pedagogical competence, and the skills of both students and teachers in effectively utilizing AI technology. The activity methods included material presentation, demonstrations of educational AI applications, and hands-on practice using several AI platforms for material creation, data analysis, and learning support. The results showed an improvement in teachers' and students' understanding of basic AI concepts, their ability to use AI tools in teaching, and increased motivation to integrate AI into the learning process. This socialization activity is expected to serve as an initial step in developing an adaptive, innovative, and technology-based learning ecosystem that aligns with the needs of the digital era.

This community service program aims to enhance the capacity of students, teachers, and educational staff at SMK Negeri 2 Prabumulih in utilizing artificial intelligence (AI) technology as a medium for promoting the excellence of their study programs. The activity was conducted in the form of a two-day workshop attended by 50 participants, consisting of students, teachers, and educational personnel. The workshop materials covered an introduction to AI, the application of AI in digital promotion, and hands-on practice in creating promotional content using AI, such as chatbots, AI-based graphic design, and data analysis. The results indicate a significant improvement in participants’ skills in using AI technology to support study program promotion, which positively contributed to increasing the interest of prospective new students. This workshop provides a tangible contribution to human resource development at SMK Negeri 2 Prabumulih and serves as a replicable model for community service initiatives in other educational institutions.

This article discusses the modernity of educational instruments, along with the phenomenon of technological progress, particularly the emergence of artificial intelligence (AI), and its implications for educators in the 21st century. Rapid advances in AI have led to fundamental shifts in teaching strategies and resources, shifting from traditional models to personalized and adaptive learning environments. Through automated assessments, curriculum customization, and the implementation of virtual assistants that enhance accessibility, artificial intelligence (AI) in education aims to improve efficiency and effectiveness. However, this modernity requires educators in the 21st century to change. Teachers now play the role of facilitators, designers of learning experiences, and mentors in ethics, in addition to being providers of knowledge. Teachers need to master AI literacy and focus on teaching students the four Cs of the 21st century: communication, creativity, critical thinking, and teamwork. The integration of AI raises ethical issues related to data privacy, the digital divide, and the dangers of plagiarism, but it also offers significant potential. Therefore, the effective integration of AI technology with irreplaceable human qualities is crucial for the success of contemporary educational technology. AI is an important tool for educators in the 21st century to develop a generation of technologically literate and moral individuals.