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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.

The development of artificial intelligence (AI) technology has brought about a major transformation in the world of libraries and information services. Automation, data analysis, and AI-based recommendation systems have increased the efficiency and accessibility of information for users. These advances also pose new challenges for librarians, particularly in maintaining human values ​​in the service process. Humanist librarians in the AI ​​era are required not only to understand technology but also to maintain an ethical, empathetic, and communicative role in interactions with users. This research uses a literature review to address the questions raised. Librarians, as mediators between technology and humans, act as bridges between digital literacy and ethical information, maintaining warmth and empathy in library services. By prioritizing human values ​​such as empathy, responsibility, and information justice, librarians can ensure that the application of AI in libraries remains oriented toward human needs and does not diminish the essence of civilized service.

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.

Digital transformation through Artificial Intelligence (AI) is imperative for public services, but its implementation in Indonesia faces various challenges. This study analyses the readiness level of the Indonesian bureaucracy and the role of adaptation strategies as a mediating mechanism for successful AI implementation. Using explanatory sequential mixed methods, the study involved 287 respondents from 68 government agencies using PLS-SEM analysis, followed by in-depth interviews with 33 informants from 11 agencies for qualitative exploration. The results indicate that the readiness of the Indonesian bureaucracy is in the moderate category, with human resource readiness as the most critical weakness. PLS analysis confirmed that all readiness dimensions significantly influence adaptation strategies, with human resource readiness as the strongest predictor. Adaptation strategies partially mediated the readiness-implementation relationship, explaining 70.4% of the variance in AI implementation. Qualitative findings identified effective strategies: phased pilot projects, change management through champions, continuous capacity building, incremental implementation, and adaptive governance. Structural barriers include rigid regulations, silo mentality, and political turnover. The study produced the ARSI Framework as a practical guide for AI implementation in the Indonesian public sector, emphasising the importance of strategic execution in translating readiness into successful implementation.

The rapid development of artificial intelligence has encouraged the widespread use of chatbots on social media platforms, transforming patterns of digital communication and interaction. This study aims to examine the role of chatbots in shaping social interaction, fandom dynamics, and users’ digital identities within contemporary online culture. The research employs a literature review approach using grounded theory as an analytical framework to identify patterns, themes, and emerging concepts from relevant academic publications published between 2021 and 2025. Articles were collected through academic databases and systematically selected based on predefined inclusion and exclusion criteria. The findings indicate that chatbots have shifted from being purely functional technological tools to becoming cultural actors that influence emotional engagement, community formation, and identity expression in digital spaces. Chatbots contribute to creating perceived emotional closeness, strengthening fandom interactions, and facilitating self-expression, particularly within popular culture and creative industries. However, the study also highlights several challenges, including emotional dependency, algorithm-driven homogenization of preferences, gender bias, and aggressive behavior in human–machine interactions. Cultural context plays a significant role in shaping user acceptance and interpretation of chatbots. These findings imply that chatbot development and implementation should consider not only technical efficiency but also social, psychological, and ethical dimensions to ensure responsible and inclusive digital interaction.

This community service activity aims to improve digital literacy and managerial skills of Micro, Small, and Medium Enterprises (MSMEs) through two training programs: "Optimizing Marketing Content Using Artificial Intelligence (AI) Applications" and "Digital Financial Management." The program was implemented through several stages, including problem identification, training material development, hands-on training, mentoring, and evaluation using pre-test and post-test instruments to measure program effectiveness. Fifteen MSMEs from Prapatan Village, Balikpapan City, participated in the program. The evaluation results showed that the training significantly improved participants' understanding of the use of digital marketing and technology-based financial management. Prior to the training, most participants still had limited digital literacy and had not utilized technology for promotion or financial recording. After participating in the program, 73.3% of participants assessed the material as excellent and relevant to their business needs. This program provides a tangible contribution to the development of technology-based applied science while supporting community economic empowerment through the MSME digitalization process.  

Artificial Intelligence (AI) is a technology that has had a significant impact on various aspects of life, including science. Recent developments in AI have shifted the traditional boundaries of knowledge production and distribution, including in the religious realm. This research aims to fill the epistemological gap in contemporary Islamic legal thought by offering an integrative framework between traditional ijtihad and supervised digital ijtihad practices. This research uses a normative-qualitative (juridical-normative) approach. The researchers found that AI has the potential to be an effective tool for strengthening religious moderation, particularly through digital education, the dissemination of messages of tolerance, and the dissemination of counter-narratives against radicalism. For example, da'wah chatbots and digital interpretation applications can expand moderate religious literacy. However, the research also highlights various challenges, including epistemological issues stemming from AI's lack of a scientific chain of command, the risk of shifting authority from scholars to technology, and the lack of legal regulations governing responsibility for AI-generated religious content. Therefore, specific regulations and collaboration between scholars, the government, and technology developers are needed to ensure that AI continues to support the maqāṣid al-Shari'ah (the principles of Islamic law) and religious moderation.

This community service activity aims to improve digital literacy and managerial skills of Micro, Small, and Medium Enterprises (MSMEs) through two training programs: "Optimizing Marketing Content Using Artificial Intelligence (AI) Applications" and "Digital Financial Management." The program was implemented through several stages, including problem identification, training material development, hands-on training, mentoring, and evaluation using pre-test and post-test instruments to measure program effectiveness. Fifteen MSMEs from Prapatan Village, Balikpapan City, participated in the program. The evaluation results showed that the training significantly improved participants' understanding of the use of digital marketing and technology-based financial management. Prior to the training, most participants still had limited digital literacy and had not utilized technology for promotion or financial recording. After participating in the program, 73.3% of participants assessed the material as excellent and relevant to their business needs. This program provides a tangible contribution to the development of technology-based applied science while supporting community economic empowerment through the MSME digitalization process.  

The growth of artificial intelligence (AI) in healthcare is causing big shifts in management roles and how ready organizations are, especially in private hospitals. In Medan City, rising competition, a small healthcare workforce, and strict accreditation requirements all make it even more important to use digital technology to make operations more efficient. This study seeks to examine the impact of AI on organizational readiness, utilizing management performance as a mediating variable. Quantitative approaches were employed via a survey of managers and administrative personnel at private hospitals, and the data were analyzed using path analysis with SPSS. The findings indicate that AI exerts a favorable and considerable influence on management performance, which in turn directly enhances organizational readiness. Additionally, managerial performance has been demonstrated to mediate the relationship between AI and organizational readiness. These findings address a research gap concerning the mechanisms of AI's role in the managerial context of hospitals in developing countries and offer practical implications for fortifying digital strategies, cultivating human resource competencies, and augmenting organizational capabilities in response to technology-driven healthcare transformation.

This Community Service Program (PKM) was conducted to address work-related stress experienced by partner institutions amid economic uncertainty and rapid digital transformation, particularly in the era of artificial intelligence (AI). The main issues identified included role ambiguity, job insecurity, and increasing demands for competency adaptation, which contribute to psychological stress, emotional exhaustion, reduced well-being, and declining work effectiveness. To respond to these challenges, the implementation team organized educational activities in the form of seminars and interactive sharing sessions titled “Thriving at Work in the AI Era: The Dynamics of Work Stress.” The program aimed to enhance participants’ understanding, awareness, and skills in identifying sources of work stress and applying adaptive stress management strategies. A participatory education method was applied, beginning with a pre-test and concluding with a post-test to assess changes in participants’ knowledge. The results showed a notable improvement in understanding, as reflected by a decrease in incorrect responses from 27.2% to 10.8% and an increase in correct responses from 72.8% to 89.2%. The implementation process consisted of three stages: preparation (team coordination, partner needs analysis, material development, and technical preparation), implementation (delivery of materials and interactive discussions), and evaluation and reporting. The mandatory outputs of this program include a PKM report and the publication of an article in a community service journal. Additional outputs involve dissemination through mass media and the development of a booklet intended for Intellectual Property Rights (IPR) registration.

Civil engineering infrastructure development plays a vital role in driving economic progress and enhancing the quality of life within communities. The success of infrastructure projects depends not only on budgetary and technological factors but also on the quality of human resources (HR) involved in every project phase, from planning to maintenance. This literature review highlights that skilled and competent HR is a critical factor in achieving project success, particularly amidst increasing complexity and the challenges posed by globalization. Key issues faced by the sector include a shortage of skilled labor, high turnover rates, and a misalignment between educational outcomes and the skills required in the field. Additionally, technological advancements, such as the adoption of Building Information Modeling (BIM) and Artificial Intelligence (AI), demand continuous skill enhancement to adapt to the growing automation of industry processes. Effective HR management—encompassing ongoing education, fair incentive systems, and the integration of technology into HR practices—is essential for boosting productivity and mitigating risks during project execution. A comprehensive approach, including a structured HR management system, is required to ensure the sustainability and quality of infrastructure development. This study aims to provide an in-depth understanding of the critical role of HR management in the civil engineering sector and proposes practical recommendations for improving HR quality to meet the evolving demands of the construction industry.  

Digital transformation has reshaped community life by increasing internet dependency in daily communication, financial transactions, and public services. However, this rapid development has also intensified cybersecurity risks, particularly link-based scams and the misuse of Artificial Intelligence (AI). Limited digital literacy at the family level makes communities vulnerable to phishing attacks, personal data breaches, and AI-generated fraud. This community service program aimed to strengthen digital literacy among residents of RW 03 Kalipancur, Semarang, through participatory education focusing on link scam detection and responsible AI usage. The program involved interactive lectures, case discussions, simulations, and pre-test and post-test evaluations with 18 participants from family groups, PKK cadres, and elderly residents. The results showed a significant increase in understanding, from an average pre-test score of 43% to a post-test score of 84%. Beyond knowledge improvement, participants demonstrated increased awareness and behavioral change toward safer digital practices. The findings suggest that community-based participatory approaches effectively enhance family-level digital resilience and can serve as a replicable empowerment model in other communities facing similar digital threats.

This study discusses the implementation of innovative software to improve the efficiency of information management systems at Bank Syariah Indonesia (BSI). The backround of this research begin with growing need for effective and efficient information systems in the digital era, particularly in Islamic banking which requires compliance with sharia principles. The purpose of this study is to identify how software innovation can support better service, data security, and operational effectiveness at BSI. By employing a qualitative descriptive methodology along with a literature review, this research analyzes various technological innovations such as artificial intelligence (AI), big data, and Customer Relationship Management (CRM) applications in Islamic banking systems. The findings show that the adoption of modern information technology significantly enhances operational efficiency, service quality, and competitiveness. The conclusion highlights that software innovation integrated with sharia principles strengthens the management information system and supports BSI’s vision to become a global center of Islamic finance. Future development of software should focus on improving data security and adapting to advanced technologies to further enhance customer service quality.

The transition to the remote working era has reached a point of stabilization as a fundamental structure in the 2025 global employment landscape. This systematic literature review aims to evaluate the impact of remote work on employee productivity, mental well-being, and the role of Artificial Intelligence (AI) integration. By analyzing large-scale secondary data (>10,000 participants) from various authoritative databases, the study finds that productivity experienced a net increase of 13% to 22%. The primary driver is the average commute time saving of 72 minutes per day, which is converted into productive work hours. However, findings also indicate a risk of digital burnout in 69% of respondents due to an "always-on" work culture. AI integration has assisted 65% of workers in automating administrative tasks, shifting focus toward strategic work. This research concludes that the success of remote work models requires a shift in leadership style toward trust-based management and formal policies regarding the "right to disconnect.".

The advancement of Artificial Intelligence (AI) technology has generated significant benefits while simultaneously creating new opportunities for cyber-based sexual offenses, particularly through deepfake technology, which enables the manipulation of a person's face into pornographic content without consent. This study examines criminal liability for perpetrators of AI-based sexual harassment and legal protection for victims in deepfake pornography cases, focusing on a case involving a student at Udayana University, Bali. This research employs a normative legal method by analyzing primary, secondary, and tertiary legal materials. The findings indicate that although Indonesian law does not yet explicitly regulate deepfake technology, perpetrators can still be prosecuted under the Electronic Information and Transactions Law, Pornography Law, Sexual Violence Law, and the new Criminal Code. Criminal intent is established through the deliberate manipulation, creation, and dissemination of non- consensual sexual content. Furthermore, victims are entitled to legal protection, including psychological recovery, privacy rights, restitution, and content removal. This study highlights the urgency of developing specific regulations addressing AI-related sexual crimes, enhancing forensic digital capabilities, and strengthening victim-centered protection mechanisms. The research contributes to the legal discourse on emerging digital crimes and emphasizes the need for adaptive legal frameworks in the AI era.  

Implementation Artificial Intelligence as a supporting model for e-learning still faces several challenges. This is due to several aspects, such as concerns about loss spiritual touch, low digital literacy educators, limited technological infrastructure in educational institutions, and so on. On the other hand, the interaction that occurs between students and teachers is an emotional and moral dimension that occurs. The purpose study is to analyze the use AI as supporting model for e-learning in Islamic education. In this study, the method used is descriptive qualitative research. The findings study are (1) Views Islamic education practitioners on Artificial Intelligence, one which is that the existence Artificial Intelligence is not absolute replacement between students and teachers. However, Artificial Intelligence is considered means or tool in understanding learning; (2) The results  analysis explain that several AI (Artificial Intelligence) in e-learning in Islamic education have been present in several forms, including increasing access and inclusivity, translating and understanding classical manuscripts, analyzing learning and automatic assessment, material recommendation systems and learning personalization, as well Chatbots and virtual learning assistants; (3) Concept Islamic education is not only oriented towards the transfer knowledge (ta'lim), but also the formation of morals and spirituality (tarbiyah and ta'dib).

Purpose – This article aim For develop approach new in management source Power strategic human resources with integrate dimensions adaptive and cognitive in context digital transformation of organizations . Research This based on synthesis theoretical from works Prihantoro et al . (2022–2023), in order to review return the role of HR as driver main superiority competitive based knowledge in the era of disruption technology . Design/ methodology / approach – This article use method studies library conceptual with approach qualitative- descriptive analysis done to six work main topic that discusses strategic HR topics , digitalization organization and learning organization . Synthesis done For building an integrative model that emphasizes influence digital transformation towards performance and development of organizational human resources . Findings – Results of analysis show that approach adaptive-cognitive can strengthening HR strategy in face change environment business . Merger digital competence , ability Study organization , as well as leadership transformative proven become key in optimize HR functions in general strategic . HR is not Again only nature administrative , but is driving force main innovation and efficiency . Implications practical – Organization need designing repeat digital learning- based HR policies , building ecosystem management knowledge , as well as push culture Innovation . Data- driven and intelligence-driven HR practices artificial is also recommended For taking decision strategic . Originality / Value – This article offer novelty conceptual through integration theory learning organization and approach mark in digital HR management . Contribution This expand traditional HRM coverage to realm more strategic​ responsive to challenge technology .

The rapid development of Artificial Intelligence (AI) has opened new opportunities for teachers in designing instructional materials. This study aims to describe the effectiveness of using Perplexity AI in designing Natural and Social Science Knowledge (IPAS) materials in elementary schools. Using a quantitative descriptive approach, data was collected through questionnaires from three elementary school teachers as a preliminary study (pilot study). The indicators measured included ease of use, time efficiency, material quality, and usefulness. The research results indicate that Perplexity AI is highly effective, with an overall average score of 4.29, falling into the "Good" category. These findings demonstrate that Perplexity AI significantly supports teachers in organizing systematic lesson plans and improving teaching material preparation. This research provides a foundation for the broader implementation of AI tools in the education sector, suggesting that AI can be an effective aid in the development of educational content, ultimately enhancing the teaching and learning experience in schools.