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The Era of the 4.0 Industrial Revolution has transformed various aspects of life, particularly with the advent of Artificial Intelligence (AI), which brings innovation and efficiency to sectors such as healthcare, education, and governance. However, the rapid development of AI also presents challenges related to law and ethics that must be addressed, such as legal responsibility for damages caused, secure management of personal data, and ethical boundaries regarding technological intervention. This article aims to discuss the legal and ethical issues surrounding the use of AI in Indonesia, focusing on the importance of developing an adaptive legal framework and the application of appropriate ethical principles. This research uses a normative research method with a regulatory approach and a conceptual approach. The discussion covers the definition of AI, legal and ethical challenges in its use, and recommendations for responsible technology implementation. The findings suggest that to ensure fair and sustainable use of AI, Indonesia needs to strengthen existing regulations, raise ethical awareness in society, and establish a dedicated regulatory body for AI technology.

The livestock industry plays a strategic role in providing animal-based food, yet it continues to face challenges related to efficiency and sustainability. Issues such as land limitations, animal diseases, and feed price fluctuations demand innovative production systems. One emerging solution is digital livestock farming, which integrates information and communication technologies into livestock management. This study aims to examine the role of digital livestock farming in improving production efficiency through a literature review of scientific sources published between 2017 and 2024. Literature was gathered from electronic databases and analyzed using a descriptive-qualitative approach with thematic analysis. The findings reveal that technologies such as the Internet of Things, biometric sensors, big data, and artificial intelligence enhance feed efficiency, animal health, reproduction, and labor management. Moreover, these technologies improve animal welfare and reduce environmental impact. However, challenges such as low digital literacy, limited infrastructure, and insufficient policy support hinder implementation, especially in developing countries. This review highlights the need for cross-sector collaboration to support sustainable digital livestock adoption.

In the growing era of Artificial Intelligence (AI), communication technology plays an important role in supporting the effectiveness and efficiency of business operations. This research aims to analyze how the implementation of business communication technologies, such as email, video conferencing, online collaboration platforms, and information management systems, can improve efficiency in work processes and decision making. The methods used in this research are literature study and case analysis of several companies that have successfully integrated communication technology in their business activities. The results show that the strategic use of communication technology can speed up the flow of information, reduce operational costs, and improve productivity and coordination between teams. The findings emphasize the importance of appropriate adoption of communication technology in improving business competitiveness amidst changing market dynamics.  

This study highlights the paradigmatic shift in human resource management (HRM) in response to the complexities of globalization. Globalization has not only expanded the geographical scope of business but also reconfigured demands for competencies, technology, and cultural dynamics within organizations. Using the systematic literature review (SLR) method, this article examines adaptive HRM strategies focused on three pillars: (1) developing global competencies through cross-cultural training and digital literacy, (2) integrating technologies such as artificial intelligence (AI) in recruitment and performance evaluation, and (3) managing cultural diversity to create an inclusive work ecosystem. Analytical findings reveal that organizations with holistic HRM approaches combining strategic agility, investment in employee upskilling, and data-driven systems tend to excel in mitigating risks of global market disruptions. Critical insights emphasize that success relies not only on technology adoption but also on managerial capabilities to address cultural conflicts and facilitate cross-border collaboration. The research concludes that strategic HRM serves as a driver of organizational innovation and sustainability, with practical recommendations for companies to develop evidence-based HRM frameworks aligned with global trends. 

Numeracy is an essential competency that supports students’ ability to reason quantitatively and solve real-life problems. However, students in Indonesia often face challenges in understanding mathematical concepts and applying them in everyday contexts. In response to this, a community service program was conducted at SMP Insan Rabbany, Tangerang Selatan, focusing on the integration of Artificial Intelligence (AI) applications such as ChatGPT and Educaplay in mathematics learning. The program aimed to improve students’ numeracy literacy and provide teachers with the capacity to utilize AI tools effectively. The activities included training sessions for teachers, and direct assistance in classroom implementation. The results showed a significant uses in students’ ability of numeracy. Moreover, teachers expressed increased confidence in incorporating AI-based methods into their lessons. This program highlights the potential of AI to enhance numeracy skills and underscores the importance of technological support and teacher training in the digital age.

This study examines the application of big data analytics on Bhinneka.com, a leading e-commerce platform in Indonesia, to tackle the increasing in complexity of online user behavior in a swiftly changing digital environment. The primary issue is too challenges in evaluating extensive, unstructured, and heterogeneous user data, which obstructs personalization, marketing efficacy, and operational decision-making. The study seeks to assess the efficacy of big data instruments, specifically Artificial Intelligence Recommendation (AIRec) and Customer Data Platform (CDP), in improving user behavior forecasting. Service customization, and data-informed strategies. This study utilizes a qualitative case study methodology, including literature review and platform observation, to synthesis the many forms of big data analytics (descriptive, diagnostic, predictive, and prescriptive) and their implementation at Bhinneka.com. Significant findings indicate that the integration of AIRec and CDP has augmented the platform’s capacity to predict consumer preferences, improve marketing accuracy, and optimize logistics. However, obstacles stay the same, such as disjointed data systems, data quality concerns, and internal opposition to embracing a data-driven culture. The study suggests that although big data analytics substantially enhances Bhinneka.com’s digital competitiveness, ongoing investment in data infrastructure and organizational competence is crucial to fully harness its potential and preserve a competitive advantage in Indonesia’s e-commerce market.

The increasingly advanced era is certainly followed by various developments in the fields of economy, social, culture and even technology. Technological progress in various countries can be seen from the existence of a technology called AI. Artificial Intelligence or AI is an artificial intelligence technology that has the ability to solve problems like humans. In practice, AI will simulate human intelligence with the ability to recognize images, write and even make predictions based on data. Lately, AI has begun to be misused by individuals who feel they are benefiting. In Indonesia, the misuse of AI technology has been rampant where perpetrators use AI for fraud. An act that uses technology as the main weapon of crime is included in the category of cyber crime. The rampant case of cyber crime in Indonesia is the act of voice imitation or voice cloning. The perpetrators in committing their crimes usually use a technological intermediary that can change their voice so that it is similar to the voice of relatives, friends, family or important people or public figures recognized by the victim. Voice imitation or known as voice cloning is the ability to imitate a voice that is similar to the original voice. Voice cloning using AI technology is an imitation of the human voice with an extraordinary level of accuracy of similarity, both in intonation, tone, and also voice patterns. The law on information and electronic transactions contains various regulations regarding information and electronic transactions, but the law does not explain in detail the misuse of AI in voice cloning because there are still limitations in the ITE law regarding criminal acts of voice cloning fraud and until now criminal acts of voice cloning are still rampant.

This research uses a qualitative method to explore the integration of Artificial Intelligence (AI) in marketing tactics and its impact on the development of marketing skills among the new generation. The main focus is on the use of AI in analyzing consumer behavior, content personalization, campaign automation, and data-driven decision-making. The findings reveal that AI not only enhances operational efficiency but also drives a transformation in the skill sets required by modern marketers, such as data analysis capabilities, technological literacy, and adaptability to intelligent systems. Through in-depth interviews with marketing practitioners and digital document analysis, it was discovered that the new generation of marketers is required to develop more complex digital competencies and engage in multidisciplinary collaboration. Furthermore, adaptation to technological change becomes a key factor in the success of AI-based marketing strategies. The integration of artificial intelligence in marketing practices not only reshapes work patterns but also creates new demands for continuous training and marketing education. Therefore, this research emphasizes the importance of collaboration between educational institutions, industry, and technology developers to create a competitive AI-based marketing ecosystem.

The development of Artificial Intelligence (AI) technology in the education sector has undergone major changes. These changes bring great opportunities to change the learning process to be more personal, effective, and inclusive. The purpose of this journal is to analyze the potential and challenges that need to be faced in the application of AI in education so that it can run optimally. The method used in this study is the literature review method of various recent studies that discuss the use of AI in education, The results of the study show that AI has great potential to improve the personalization of learning and educational efficiency. However, there are number of significant challenges, such as limited infrastructure, privacy and data security issues, resistance from educators and students, and the digital divide that still occurs in several regions. Therefore, a strategy is needed that includes a academic laziness that reduces learning motivation, constraints on AI contextual knowledge, Inability to process complex information, loss of literacy skills, amd the risk of addiction to AI technology. With a planned and sustainable strategy, AI has great potential to improve the quality of national education and also reduce the dangers that may arise from the modern technological era.

Artificial Intelligence (AI) has become an essential tool in the world of management for decision-making. This article examines the ways in which AI can be used to improve the quality and speed of decision-making, and how AI can improve the operational efficiency of companies. In addition, this article also examines the challenges and opportunities that companies face in adopting AI.In the rapidly evolving digital era, AI has become an essential component of modern business strategies. Today's managers are often faced with the challenge of analyzing very large and complex volumes of data. To make good and timely decisions, AI offers a potential solution with fast and precise data analysis capabilities.The use of AI in decision-making involves machine learning algorithms and models to efficiently process and analyze large amounts of data. This helps managers gain deeper and more accurate insights, enabling more effective decision-making.

The research aims to clarify the relationship between artificial intelligence and the future of the accounting profession, and to clarify the knowledge foundations of artificial intelligence and the future of the accounting profession and the application of the term artificial intelligence in the future of the accounting profession and highlight the position of the term artificial intelligence for the economic unit of the research sample, which is Asia cell Iraq Company. The research relied on the collection of data related to the theoretical aspect on a group of Arab and foreign sources related to the subject under research from books, research, studies, theses and university theses, as well as research and periodicals published on the Internet, as for the applied side, the research relied on field visits to the research sample and personal interviews with managers and officials in the research sample as well as to the accounting of the force the research reached a set of conclusions, the most important of which was that the subject of artificial intelligence itself is one of the contemporary topics that did not find any interest at the conceptual, practical and even academic levels, at least at the level of libraries and scientific research centers. After the results of the electronic field surveys showed that the Arab and Iraqi libraries are devoid of any author or detailed study on the subject, and in conclusion, the research reached a set of recommendations, the most important of which was the need to give the artificial intelligence variable greater research attention as one of the intellectual dialectics in contemporary literature in the field of accounting management and to highlight its role in achieving sustainable artificial advantage in the business environment.

In this fast-paced time, the relationship between content creators and audiences can be built using storytelling and quality content as an attraction. Along with the emergence and development of technology, AI or Artificial Intelligence now facilitates the creative process for content creators. AI can assist from drafting, visuals, to editing. This article aims to directly explain how AI can help improve efficiency, generate ideas, and expand ways of telling a story. However, when integrating AI into the creative process, there are limitations that must not lose the personal touch and creative flair that make a story feel meaningful and remain authentic. Content creators are able to use human insight and the sophistication of AI to produce stronger, more innovative, and relevant storytelling amidst increasingly fierce digital competition.

This study investigates the role of adaptive leadership in addressing the complex challenges posed by rapid technological advancements, particularly in the era of Society 5.0. The integration of artificial intelligence (AI) into organizational systems introduces not only opportunities for efficiency and innovation but also ethical and leadership dilemmas. Using a literature review methodology, this paper examines how adaptive leadership can support organizations in navigating digital transformation while maintaining ethical integrity and organizational effectiveness. The findings indicate that adaptive leadership—characterized by responsiveness, inclusivity, and value-driven decision-making—is essential for sustaining organizational resilience. Furthermore, the study emphasizes the need for leaders to foster a learning-oriented culture, manage ethical concerns in AI deployment, and apply flexible leadership styles that empower employees. This paper contributes to the growing discourse on ethical digital leadership and offers insights for organizational sustainability in the context of technological disruption.    

The use of Artificial Intelligence (AI) has now become one of the crucial aspects in the advancement of information technology throughout the world. This article aims to connect the values ​​of Pancasila as the moral basis of the Indonesian nation with the ethics of using artificial intelligence and its impact on the country. As the philosophical foundation of the state, Pancasila contains deep ethical values ​​and can be used as guidelines in the application of AI that are in line with the moral and ethical principles that apply in Indonesia. Pancasila education has an important role as an ethical framework in the context of the development and application of AI. In this article, we will discuss the application of Pancasila values ​​in technological developments so that they remain in line with the nation's identity, as well as explore the various positive and negative impacts that may arise from the use of AI. Furthermore, this study seeks solutions that can be implemented by the government, companies, and society to overcome these negative impacts. Using a descriptive qualitative approach, this study aims to explore and understand in depth the relationship between Pancasila values ​​and ethics in the use of AI, especially in the context of the development of information technology in Indonesia. This approach is very appropriate for examining social phenomena, values, and meanings contained in policies or implementation of technology in society.

This study examines the effectiveness of the Electronic Information and Transactions Law (UU ITE) in addressing the dissemination of pornographic content on Twitter/X. Using a literature review approach, it highlights UU ITE’s role in regulating digital activities by prohibiting the distribution of obscene content. Despite providing a robust legal framework, its implementation faces significant challenges, including user anonymity and limited monitoring capabilities. Data from the Ministry of Communication and Informatics (Kominfo) reveals a substantial increase in the number of blocked pornographic content, although it represents only a fraction of the broader issue. Additionally, Twitter/X’s content moderation policies often conflict with local regulations, requiring closer collaboration between governments and digital platforms. Potential solutions include adopting artificial intelligence for automatic detection, enhancing user verification, and fostering international cooperation. This study concludes that synergy between the government, digital platforms, and the public is essential for creating a safer and more conducive digital space.

The development of artificial intelligence (AI) has significantly changed the digital advertising landscape. However, consumer trust in the use of AI in digital advertising is a crucial issue to understand. This study aims to analyze the influence of perceived intelligence, transparency, and personalization of AI-based advertising on consumer trust levels. Using a quantitative approach through a survey of 500 respondents who are active social media users in Indonesia, the data were analyzed using Structural Equation Modeling (SEM). The results of the study indicate that perceived intelligence and transparency have a significant positive influence on consumer trust, while personalization has a moderate influence. These findings provide theoretical contributions to the digital marketing literature and provide practical guidance for marketers in designing AI-based advertising strategies that are trusted by consumers.

The advancement of artificial intelligence (AI) technology has transformed the paradigm of shopping experiences on e-commerce platforms. This article examines the future of AI-powered virtual shopping assistants designed to provide personalized solutions in the digital marketplace experience. Virtual shopping assistants, driven by technologies such as chatbots, voice assistants, and machine learning, enable consumers to receive more relevant product recommendations and a shopping experience tailored to their preferences. This study aims to explore how the implementation of AI-powered virtual shopping assistants can enhance customer loyalty, sales conversion, and consumer satisfaction in online marketplaces. Using a mixed-method approach involving in-depth interviews and quantitative surveys, the research identifies consumer perceptions of this technology and its impact on their purchasing decisions. Findings reveal that consumers who engage with AI-powered virtual shopping assistants report more personalized and satisfying shopping experiences, contributing to increased loyalty and sales conversion for e-commerce platforms. This article provides practical insights for marketplace managers to optimize the use of AI in creating more personalized and responsive shopping experiences. Furthermore, this research opens opportunities for further exploration of AI integration across various digital shopping channels.

The rapid growth of e-commerce has driven companies to seek more effective strategies to enhance logistics efficiency and customer satisfaction. This article examines the synergy between artificial intelligence, strategic location determination, and digital marketing in supporting the performance of digital supply chains. This multidimensional approach demonstrates that integrating cutting-edge technologies with precise location strategies and data-driven marketing can create superior customer experiences and more efficient operational costs. This study is based on a literature review of ten recent related studies. Moreover, it highlights consumer behavior shifts due to the digitalization and globalization of supply chains.  

In the digital era, anti-corruption law enforcement faces new challenges and opportunities. With the development of information technology, corrupt practices are increasingly complex and hidden, committing fraud and embezzlement by utilizing digital space. The use of advanced technologies such as big data analysis, artificial intelligence, and blockchain are some examples of how law enforcement can tackle corruption. In addition, this study investigates various ways in which the government, law enforcement agencies, and civil society can work together to improve transparency and accountability. It is expected to improve anti-corruption efforts by utilizing digital platforms to report and detect suspicious activities. The study found that adapting law enforcement to technological changes is important to uncover and stop corrupt practices in the digital era. In addition, public education is essential to building a stronger anti-corruption culture. To create a transparent government, the role of the media and public participation is very important to increase the accountability of officials for corrupt practices. This study aims to see how public participation and the media monitor corruption and to find methods that can improve such supervision. The methods used include literature research, reports, and policy articles. The results of the study indicate that taking an active part in reporting and monitoring can increase the accountability of public officials.

This qualitative study aims to gain insights into how English lecturers perceive and integrate generative Artificial Intelligence (AI) in their teaching, an increasingly relevant topic in education. Guided by the Technology Acceptance Model (TAM), the research involved two lecturers from a higher education context. Findings reveal a shift in perception: although both participants were initially reluctant due to unfamiliarity and concerns about learning quality, they gradually embraced AI after firsthand experience. They now recognize its potential to support teaching while maintaining careful oversight to ensure it does not compromise the learning process. Their evolving views highlight the importance of adaptability and critical awareness in incorporating AI into English language education.