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This study aims to analyze the integration of Artificial Intelligence (AI) into Strategic Human Resource Management (SHRM) and its contribution to enhancing organizational performance using a bibliometric approach. The research method involves analyzing data from Scopus and Crossref databases with the help of VOSviewer software to map research trends, keyword relationships, and publication distributions. The findings reveal that AI plays a significant role in optimizing HR processes, such as data-driven decision-making, productivity enhancement, and more efficient talent management. Key trends include innovations in HR practices, the utilization of big data, and sustainability practices (green HRM). The analysis identifies a significant increase in publications since 2020, reflecting growing academic interest in this topic. This research provides practical significance by helping organizations understand the strategic benefits of AI in addressing HR challenges and driving sustainable performance. The findings of this study are expected to serve as a reference for future research exploring AI implementation across various organizational contexts.

The rapid advancement of digital technology, particularly Artificial Intelligence (AI), has reshaped various sectors, including the field of law. This study aims to examine the integration of AI in law firms’ operations, focusing on its potential benefits, legal challenges, and ethical implications in the Indonesian legal context. This research employs a qualitative approach through a normative juridical method, supported by literature review and case analysis related to the use of AI in legal practice. Relevant legislation, including Law No. 11 of 2008 on Electronic Information and Transactions, is analyzed to assess the existing regulatory framework. The study reveals that while AI enhances efficiency in tasks such as document analysis, case prediction, and legal drafting, it also raises concerns about algorithm reliability, data bias, and the absence of specific AI-related legal regulations in Indonesia. Law firms must ensure transparency, accountability, and ethical responsibility when adopting AI to align with the principles of justice. Human interaction remains crucial to maintain trust and professional integrity in client services. The research contributes to the ongoing discourse on developing legal and ethical frameworks for AI implementation in the legal sector. It suggests the need for comprehensive regulation and professional guidelines to optimize AI utilization while safeguarding justice and ethical standards. The study is intended for publication in a national academic journal.

The method applied in this study is Systematic Literature Review (SLR) and this work examines the pertinent literature between 2020 and 2024. The sources included here were Scopus, Web of Science, Google Scholar while using the following keywords; digital communication and profitability. The findings indicate that firms that engage in anticipatory digital media communication receive higher customer interactions of between 10-30% and continued patronage and sales. Furthermore, AI and big data help organizations tailor their communication strategies, maximize CLV and minimize operation expenditures. However, the study also revealed that digital skills’ dearth and organizational reluctance to embrace digital technology are a thorn for firms, particularly MSMEs, regarding the appropriate execution of digital communication strategies. Based on the findings of this study, the conclusion is that enhanced digital communication can enhance the profitability of the company as long as adequate technological platform and increased digitization of company’s employees are in place. As for the suggestions for future research, they include examining the effects of data privacy legislation on Digital Communications Planning and analyzing how manufacturing and, especially, financial service industries can leverage Digital Technology to create a sustainable competitive advantage.

The use of Generative Artificial Intelligence (GenAI) in higher education in Indonesia offers great opportunities, but faces significant challenges related to copyright. The technology is capable of generating new content that supports more adaptive learning, but raises questions regarding the ownership of intellectual works, especially in the context of “fair use” and copyright protection. This research aims to examine the legal challenges in the integration of GenAI in Indonesian higher education learning as well as opportunities for its development. The method used is juridical-normative research, by analyzing secondary data from relevant regulations, books, and journals. The results show that the lack of clarity in copyright regulations in Indonesia can hinder the optimal utilization of GenAI. Nevertheless, this technology offers significant potential to improve the personalization of learning and the quality of higher education in Indonesia, provided that comprehensive and specific regulations are developed soon.

In today’s date Artificial intelligence (AI) has substantially transformed marketing strategies and specifically Viral Marketing by enhancing the content personalization, targeting the audience and real time campaign optimization. The study explored the Artificial Intelligence impact on Viral marketing with a comprehensive review of 20 literatures that highlights the diverse applications of AI such as predictive analytics, natural language processing (NLP) and AI-driven visual content creation. This study employed meta analysis approach to evaluate how effectively AI could boost marketing reach, engagement and return on investment (ROI). The finding of the study indicates a positive correlation between the efficiency of Viral Marketing campaigns and the integration of AI, despite the fact highlighting ethical and transparency. The study concludes with practical suggestions for using AI in Viral marketing in a responsible and efficient manner to enhance its potential while mitigating related dangers. This study also highlights AI’s revolutionary role in changing market dynamics.

Artificial Intelligence (AI) and digital technologies have revolutionized language education, providing new opportunities to enhance sociolinguistic awareness and Arabic language skills, including listening, speaking, reading, and writing. This study explores how AI-driven applications and digital platforms support learners in understanding and using various Arabic dialects alongside Modern Standard Arabic. The study uses a qualitative approach to analyse how these technologies bridge the gap between theoretical knowledge and practical communication. The study focuses on tools such as interactive chatbots, speech recognition systems, assistive technologies, virtual assistants, and language learning platforms. These tools align with the Common European Framework of Reference (CEFR) for Languages 2020 and Sustainable Development Goals 4 (SDG 4), highlighting their potential to promote inclusive and equitable language education. The study analyses how AI and digital tools contribute to Arabic learning and enhance communicative competence rather than involving testing or experiments. The findings suggest that these technologies offer significant potential for improving language proficiency and addressing diverse learners' needs.

The integration of Artificial Intelligence (AI) in personalized and adaptive learning environments has revolutionized the education sector by offering customized learning experiences tailored to individual student needs. This study explores the role of AI in enhancing adaptive learning through data-driven insights, intelligent tutoring systems, and real-time feedback mechanisms. By employing machine learning algorithms and natural language processing, AI-driven platforms can analyze student performance, predict learning patterns, and deliver personalized content. The study highlights the effectiveness of AI in addressing diverse learning styles, improving engagement, and optimizing educational outcomes. Furthermore, it discusses the implications of AI in fostering inclusive education and lifelong learning. The findings suggest that AI-powered learning environments significantly enhance student-centered education, promoting efficiency and accessibility.

Digitalization has become a transformative force reshaping how organizations innovate and sustain competitive advantages in an interconnected global economy. This study explores the intricate relationship between business digitalization, innovation capabilities, and sustainability outcomes. Employing a comprehensive literature review, it examines how digital transformation fosters innovative practices and supports sustainable business models. Key findings reveal that integrating digital technologies, such as artificial intelligence, IoT, and blockchain, significantly enhances innovation capacity by accelerating product development cycles, improving decision-making precision, and fostering collaborative innovation ecosystems. Moreover, digitalization optimizes resource utilization, minimizes environmental impact, and strengthens stakeholder engagement, contributing to measurable economic, environmental, and social sustainability outcomes. The synergy between digital transformation and sustainability initiatives provides organizations with strategic advantages, including improved operational efficiency, customer loyalty, and competitive positioning. However, challenges such as implementation barriers, balancing digital-sustainable priorities, and managing unintended environmental impacts persist. Future research should focus on empirical validation, industry-specific applications, and longitudinal studies to further elucidate the pathways through which digitalization supports sustainable innovation and long-term business resilience. This study underscores the imperative for organizations to strategically align digital transformation with sustainability objectives, ensuring their future success in a rapidly evolving business environment.

Education is the main foundation in the formation of character and quality of human resources throughout the world. However, the development of technology, especially artificial intelligence (AI), has presented new challenges in the world of education, especially in maintaining the academic integrity of students. The convenience offered by AI is often used unethically, such as in plagiarism or manipulation of academic assignments. This phenomenon encourages the importance of an alternative approach that does not only rely on policy and supervision, but also instills strong moral values. This study examines the relevance of the Islamic educational psychology approach in strengthening the academic integrity of students in the AI era. This approach offers solutions based on Islamic values such as muraqabah (awareness of Allah's supervision), muhasabah (self-evaluation), and the habituation of noble morals. The study was conducted using a library research method by analyzing literature related to academic integrity, AI technology, and Islamic educational psychology, including the thoughts of Imam Al-Ghazali. The results of the study show that the Islamic values taught by Al-Ghazali are very relevant in overcoming the challenges of academic integrity caused by the development of AI technology. The principle of muraqabah helps students understand the ethical implications of their academic actions, while muhasabah encourages self-reflection to improve behavior. In addition, the habituation of values such as honesty and responsibility provides a long-term solution in shaping students' characters. This conclusion emphasizes the importance of integrating Islamic values into the higher education curriculum to create an academic environment with integrity and ethics amidst the advancement of modern technology.

This research explores the role of digital technology and artificial intelligence (AI) in transforming Islamic family law practices, with a focus on efficiency, accessibility, and justice. This study aims to analyze how technology supports administrative processes, legal decision-making, and public literacy toward Islamic law. The method used is a multidisciplinary approach that integrates the perspectives of sharia law, technology, and ethics. The results show that digital technology improves efficiency through document digitization, online registration, and virtual hearings, while AI makes a significant contribution through big data analysis to understand family dispute patterns and offer algorithm-based recommendations. However, there are challenges related to algorithm bias, data security, and compliance with sharia values. The study emphasizes the importance of collaboration between scholars, technology experts, and legal practitioners to ensure the adoption of technology that is aligned with maqashid al-shariah, in order to create an adaptive and inclusive Islamic family legal system in the digital era.

This article explores the application of Islamic ethics, particularly the concept of tawhid, in the development of digital technologies and artificial intelligence (AI). The study employs a qualitative descriptive method based on a literature review to analyze Islamic principles, such as justice (al-'adl), trust (amanah), and public benefit (al-maslahah), in addressing ethical challenges posed by AI. The findings indicate that Islamic values can provide a holistic framework for tackling algorithmic bias, privacy concerns, and social inequalities associated with AI. However, the study identifies a gap in academic research regarding the integration of tawhid principles with AI development. A limitation of this research is the lack of empirical case studies to test the effectiveness of implementing these principles in technology development.

The 21st century has witnessed a rapid digital transformation in global education, reshaping traditional learning paradigms and creating new opportunities and challenges. This study explores the impact of digitalization on educational accessibility, teaching methodologies, and student engagement. The research employs a qualitative approach, analyzing current trends, technological advancements, and policy implementations in various educational systems. The findings highlight the benefits of digital transformation, such as increased accessibility, personalized learning experiences, and the integration of artificial intelligence in education. However, challenges such as the digital divide, cybersecurity concerns, and the need for teacher training persist. The study underscores the importance of strategic policies and investment in digital infrastructure to ensure equitable and effective educational transformation worldwide.

The digital era in the industrial revolution 4.0 has brought significant changes in various aspects of life, including education. With the presence of increasingly sophisticated digital technology and the widespread use of Artificial Intelligence (AI), the education system is currently faced with new challenges to adapt to the times. However, the emergence of AI also has a negative impact on education, especially in the context of Technology and Vocational Education, namely increasing plagiarism, excessive dependence, lack of skill development, and weakening of culture, norms, and interactions between students and lecturers. This study aims to analyze the moral and ethical role in the use of AI in Technology and Vocational Education. The literature review research method is used in this study with a qualitative approach. Secondary data collection was carried out with the help of Google Scholar web technology and the bibliometric processing application VOSViewer. The data analysis technique applies the Miles & Hubberman model which consists of: data collection, data reduction, data presentation, and conclusion drawn. The results of the study show that morals and ethics play a central role in the utilization of artificial intelligence (AI) in Technology and Vocational Education in the digital era of the Industrial Revolution 4.0. The study also recommends strategic steps to ensure the use of AI in Technology and Vocational Education remains ethical and effective.

This study aims to examine the application of artificial intelligence technology in the transformation of education management in Junior High Schools to improve learning effectiveness. The research method used is a qualitative approach with a case study design, which involves observation, in-depth interviews with principals, teachers, and students, as well as analysis of documents related to the implementation of artificial intelligence-based digital learning. The data obtained was analyzed using thematic analysis techniques to identify the challenges, opportunities, and impacts of artificial intelligence technology in learning in junior high schools. The results of the study show that the application of artificial intelligence can increase the effectiveness of learning, especially in terms of personalization of learning and management of student learning time. The contribution of this research provides insight into the importance of artificial intelligence technology-based education management in improving the quality of learning at the junior high school level.

With the advancement of technology and computing capabilities of computers, various applications and algorithms that were previously not applicable to portable devices such as laptops and smartphones can now be applied. Artificial intelligence (AI) is one of the increasingly popular techniques that are now a part of everyday life. AI is an umbrella term that refers to the simulation of human intelligence by machines that use big data to perform various tasks. AI has benefited many aspects of human life, including education. However, AI also has significant negative effects. This study aims to study the influence of artificial intelligence on students' critical thinking skills. This study uses qualitative research and literature analysis. However, the study also identified several negative impacts, including reliance on technology, unassured information quality, social isolation, and ethical and privacy concerns. Therefore, a balanced and strategic approach is needed in integrating AI in education to ensure that its benefits can be maximized, while its negative impact is minimized.

The transformation of Islamic education in Indonesia in the Society 5.0 era is crucial to address the rapid development of technology. The current era is marked by the application of technologies such as the Internet of Things (IoT), big data, and artificial intelligence (AI) in various aspects of life, including education. However, there is still a lack of research on how Islamic values can be integrated with modern technology in the Islamic education curriculum. This article offers creative solutions to integrate Islamic values with technology through multidisciplinary approaches and technology-based learning methods such as gamification, adaptive learning, and blended learning. By adopting modern technology without compromising fundamental Islamic values, Islamic education in Indonesia can evolve and contribute to shaping a generation that is not only intellectually capable but also morally upright. This study is expected to provide a new perspective on building a more comprehensive and relevant Islamic education in the modern era. 

This article demonstrates the broad and deep integration between artificial intelligence technology and accounting. It presents the results of a literature review of various scientific articles on artificial intelligence and accounting. This review uses various international article sources to reach more widely about artificial intelligence in accounting. Artificial intelligence comes with various novelties. Where the novelty of this intelligence will have a positive or negative impact and provide challenges and opportunities in accounting for both academics, practitioners, and policymakers.

This study examines the role of Artificial Intelligence (AI) in marketing strategy through a Systematic Literature Review (SLR) approach. AI has shown a transformative impact by outperforming traditional methods, especially in optimizing big data-based marketing strategies. With the ability to analyze consumer behavior in depth, AI enables businesses to personalize marketing efforts and improve user experiences more efficiently and responsively. However, challenges such as data privacy, high initial investment, and reliance on data quality remain major concerns that must be addressed. This study also evaluates the effectiveness of using AI across marketing channels, which shows significant differences in their impact on business strategy. In addition, the integration of AI-based fitness equipment is considered to have a major contribution in increasing consumer satisfaction while driving online business growth. The results of this study provide valuable insights into the effective implementation of AI, as well as highlight the importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.

Hydroponic plant cultivation is booming, but stock and sales are hard to predict. Poor prediction can cause farmers to overstock and lose money. This study suggests a framework that uses several machine learning models, including Linear Regression (LR), Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting. "Ensemble Learning," which combines these models, should yield more accurate and generalizable results than a single model. This framework is assessed using historical hydroponic plant sales data and related factors like price, weather, and market trends. The model's performance is measured by the difference between predictions and actual values using RMSE and MAE metrics. This framework should improve hydroponic plant stock and sales predictions. Farmers can make better production, inventory, and harvest distribution decisions. Besides reducing financial losses, this reduces food waste and improves food security.

The utilization of Artificial Intelligence (AI) in the Digital Era for Gen Z at SMKN 1 Cerme Gresik aims to improve students' understanding and skills about AI technology. The study involved grade XII students and teachers, and was conducted through workshops that covered the basics of AI and its applications in daily life. The methods used included distributing questionnaires to measure students' understanding before and after the activity. Results showed significant improvement in students' understanding of AI concepts and applications, as well as higher motivation to use the technology in learning and creative projects. Despite challenges such as limited access to technology, students showed commitment to continue learning. The utilization of AI at SMKN 1 Cerme Gresik not only provides benefits in an educational context, but also prepares students to face challenges in an increasingly technology-dependent workforce.