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The development of digital media has transformed virtual public spaces into major arenas for shaping public opinion on religious issues, including Islamic law and sharia in Indonesia. Discussions surrounding sharia on social media are frequently accompanied by stigma and misperceptions influenced by media framing, digital algorithms, and identity polarization. This study aims to analyze the construction of stigma toward Islamic law in the digital era, identify forms of sharia misperception in the Indonesian public sphere, and explain factors contributing to the reproduction of such stigma. This research employs a qualitative approach based on an integrative literature review combined with digital media discourse analysis. Data were collected through scientific literature reviews, social media observations, and analysis of digital content related to sharia discourse. The findings reveal that sharia is often associated with violence, anti-democracy, restrictions on women’s rights, and opposition to modernity due to media simplification and emotionally driven digital content. In addition, low levels of religious digital literacy and the prevalence of echo chambers reinforce the spread of stigma toward Islamic law in virtual public spaces. This study emphasizes the importance of strengthening religious digital literacy and promoting moderate and inclusive Islamic narratives in contemporary digital society.

Development of digital technology has brought very big change in the world of education especially in the teaching and learning process which is then expected to become more flexible, interactive and easy to access. but in reality digitalization progress also creates challenges in the form of the influence of algorithms low digital literacy and use Artificial Intelligence (AI) which is excessive in the learning process. Community Service Activities (PKM) carried out in order celebration National Education Day (Hardiknas) with a theme Digital Education; Key Opens the Gate Future Unlocked Algorithm. Activities are carried out and implemented via a webinar held and broadcast live via the Islamic Center of East Kalimantan YouTube channel on May 5, 2026. Methods of implementing activities using guided interactive discussions by a moderator and presenting competent speakers in their fields. Results of the discussion shows that technology is increasingly developing able to provide convenience in the process learning and increasing understanding participant regarding the importance of digital education, digital literacy influence of algorithms and usage Artificial Intelligence (AI) wiser in teaching and learning activities.

The rapid development of Artificial Intelligence (AI) has brought significant changes to the criminal justice system, particularly in criminal investigations and evidentiary processes, while simultaneously raising complex legal and ethical challenges. Objective: This study aims to analyze the legal implications of the use of AI in criminal investigations, focusing on its benefits, risks, and challenges related to the admissibility of AI-based evidence, as well as the need for regulatory frameworks that ensure fairness, transparency, and accountability. Methods: This research employs a normative qualitative approach through the analysis of legal regulations, a review of legal and technological literature, and a comparative approach across jurisdictions, complemented by case studies of AI applications in law enforcement practices. Results: The findings indicate that AI enhances investigative efficiency through data analysis, crime prediction, and digital forensics; however, it also poses risks such as algorithmic bias, human rights violations, and issues concerning the reliability and transparency of evidence. Furthermore, differences across legal systems result in the absence of uniform standards for the admissibility of AI-based evidence. Therefore, adaptive regulatory frameworks grounded in the principles of fairness, transparency, and accountability are required, along with strengthened human oversight to ensure that the use of AI aligns with the principles of justice and human rights protection.

The transformation of political communication in the digital era has fundamentally altered the ways political parties and their affiliated wing organizations interact with party cadres and the broader public. In Indonesia, party wing organizations such as Angkatan Muda Pembaharuan Indonesia (AMPI), Angkatan Muda Partai Golkar (AMPG), and other youth wings increasingly rely on social media as the primary medium for political cadre formation. However, this shift has not only created new opportunities for participation but has also generated structural problems, including the dominance of symbolic communication, the personalization of political elites, and the subordination of ideological discourse to the algorithmic logic of digital platforms. This article aims to critically examine how the digital political communication of party wing organizations operates within the context of Indonesia’s representative democracy, the extent to which it constitutes a deliberative public sphere for young cadres, and how such practices affect the quality of political cadre formation. Employing a critical paradigm and a transdisciplinary qualitative approach, the study integrates Habermas’s theory of the public sphere, Aeron Davis’s evaluation of democratic communication, and the concept of the mediatization of politics. The findings indicate that the digital communication of party wings tends to function primarily as an instrument of symbolic consolidation and loyalty mobilization rather than as an arena for dialogical political education. Consequently, digital cadre formation produces representational identities more than critical political consciousness. This article therefore recommends a reorientation of the digital political communication of party wing organizations toward deliberative and emancipatory models in order to strengthen internal party democracy and promote substantive political regeneration.

The rapid advancement of Artificial Intelligence (AI) is reshaping public governance, including legislative processes. In the United Arab Emirates (UAE), AI is being actively utilized to enhance law-making through faster drafting, improved consistency, and greater transparency. This study examines the role of AI in the UAE’s legislative functions, focusing on how AI tools assist in analyzing legal data, formulating policy recommendations, and drafting legislation. It explores how AI impacts the speed, accuracy, and legitimacy of law-making, while also addressing the ethical and legal challenges of delegating legislative tasks to intelligent systems. Using a qualitative case study method, the paper evaluates government initiatives, expert insights, and regulatory structures that frame AI's integration into the UAE’s law-making system. While AI offers opportunities for data-driven governance and increased legislative productivity, it also presents risks such as algorithmic bias, reduced human oversight, and accountability gaps. The study emphasizes that AI must be governed by strong regulatory frameworks to safeguard democratic values, fairness, and legal integrity. By analyzing a pioneering national model, this research contributes to global discussions on AI in governance and offers key insights for policymakers, technologists, and legal scholars seeking to balance innovation with ethical and legal standards.

This research aims to critically examine the ethical integration of artificial intelligence (AI) in education through the perspective of maqāṣid al-sharīʿah, emphasizing the alignment between technological innovation and Islamic moral principles. The methods used are a systematic literature review and thematic content analysis against peer-reviewed publications for the period 2015–2025, which discuss the application of AI in primary, secondary, and higher education. The study identified dominant ethical issues, such as data privacy, algorithmic bias, accountability, human agency, and moral development, which were then mapped to Islamic ethical goals, including ʿadl (justice), amānah (belief), karāmah al-insān (human dignity), and ḥifẓ al-ʿaql (protection of reason). The results of the analysis show that the adoption of AI in education often emphasizes efficiency, personalization, and predictive analytics, but has the potential to reduce learners' autonomy and ethical reasoning. The mapping of maqāṣid al-sharīʿah shows a strong normative conformity, so that Islamic principles can be a moral foundation as well as a practical guide for AI governance. The research contribution is theoretical by bridging the literature on AI ethics and Islamic educational philosophy, as well as practical by offering an integrative framework for AI policymakers, educators, and developers. The integration of maqāṣid al-sharīʿah in AI governance ensures justice, trust, inclusivity, and the development of the whole human being (insān kāmil).

The rapid advancement of artificial intelligence (AI) in the digital age offers substantial benefits by enhancing efficiency and productivity. Nevertheless, these developments also pose significant challenges to the protection of human rights. Issues such as privacy violations, algorithmic bias, discrimination, and opaque automated decision-making highlight the need for a strong integration of ethical values and legal frameworks in the use of AI. This study applies a normative legal method supported by literature-based research to examine the existing regulatory frameworks and the ethical principles underpinning them. The findings indicate that ethical principles such as transparency, accountability, fairness, and human-centeredness serve as essential moral guidelines to prevent AI misuse. Meanwhile, legal rules ensure certainty, establish accountability mechanisms, and provide sanctions for violations. The synergy between ethics and law forms a crucial foundation to ensure that technological innovation aligns with the protection of human rights, upholds human dignity, and supports the creation of a safe and just digital environment

This study aims to analyze the effectiveness of enforcement actions undertaken by the Business Competition Supervisory Commission (KPPU) in Indonesia in 2025 against various forms of unfair business practices. Using a juridical-normative approach combined with an analysis of recent market data, this article examines the KPPU’s strategic response to the challenges posed by the digital economy. The study focuses on the enforcement of competition law against cartel practices, algorithmic collusion, abuse of dominant positions, and anticompetitive vertical integration, particularly in the logistics and food sectors. The findings indicate that 2025 marks a significant turning point in Indonesian competition law enforcement, characterized by a shift toward more aggressive and data-driven supervision. Strengthening enforcement authority, particularly in the execution of fines, along with the adoption of algorithmic audits, has enhanced the KPPU’s ability to detect and deter anticompetitive behavior. These measures aim not only to preserve market efficiency and fair competition but also to ensure that national economic growth is not concentrated among a small number of dominant firms, thereby promoting more equitable opportunities for micro, small, and medium enterprises (MSMEs).

The development of Artificial Intelligence (AI) has significantly influenced the formation of contracts in civil law, particularly through the automation of clause drafting, risk analysis, and the standardization of contractual documents. The use of AI in contract drafting raises complex legal issues, especially concerning the validity of agreements and the attribution of legal liability in the event of default. This study aims to analyze the validity of contracts created through Artificial Intelligence from the perspective of Indonesian civil law and to examine models of legal liability in AI-based contracts. This research employs a normative legal method with statutory and conceptual approaches, examining the provisions of the Indonesian Civil Code, particularly Article 1320, as well as legal doctrines and scholarly perspectives on digital contracts and AI. The findings indicate that AI-based contracts are, in principle, legally valid as long as they fulfill the requirements of a valid agreement, namely the consent of the parties, legal capacity, a specific object, and a lawful cause. Artificial Intelligence cannot be positioned as a legal subject because it lacks intent, consciousness, and the capacity to bear rights and obligations, and therefore functions solely as a technological tool. Consequently, legal intent and liability remain attached to the human or legal entity that uses, controls, or benefits from AI. This study also emphasizes that the primary challenge of AI-based contracts lies in the absence of specific legal regulations governing the allocation of liability among AI users, system providers, and developers, particularly when default occurs due to algorithmic errors or system failures. Therefore, clearer, adaptive, and comprehensive regulations are required to ensure legal certainty, protect the parties involved, and maintain a balance between technological innovation and the principles of justice in AI-based contractual practices in Indonesia.

Traditional arts in Indonesia face a growing threat not from physical displacement, but from algorithmic distortion. This study examines how social media algorithms shape and distort public perception of Indonesian traditional arts — specifically jaranan and barongan — through the lens of Van Dijck's (2013) popularity principle: the principle that content distribution is determined by interaction volume rather than cultural value. Employing qualitative thematic content analysis, this study analyzes comments on five viral social media videos sourced from YouTube and TikTok, each depicting riots or tension at traditional art performances. Findings demonstrate that the popularity principle operates consistently and cumulatively across all five samples: algorithmically provocative titles, emotional polarization in comment sections, and micro-behavioral signals such as watch duration and replay collectively function as interaction signals that drive the platform to distribute riot content far more widely than culturally substantive footage. The consequences extend beyond perception: event organizers suffer long-term reputational and economic damage, while collective stereotypes — associating jaranan with violence and disorder — become sufficiently entrenched to surface spontaneously in unrelated contexts. A comparative analysis of a Kangen Band concert video reveals that these stereotypes have already achieved the status of cultural reference points. This study argues that strategic resistance is possible: the same algorithmic logic that amplifies negative content can be deployed to circulate culturally rich content, provided that artists, communities, and government commit to producing content designed to generate high-quality interaction. The challenge is to transform social media from a distorting mirror into an instrument of cultural preservation.

The integration of artificial intelligence (AI) in forensic investigation has significantly transformed the analysis and authentication of digital evidence. This paper explores the role of AI technologies, specifically machine learning and deep learning algorithms, in examining digital evidence from various sources, including computers, mobile devices, and network systems. We provide an in-depth analysis of current AI-based forensic tools, their efficiency in evidence authentication, and the challenges they face regarding legal admissibility. Our findings indicate that AI-powered forensic systems can detect digital evidence tampering with 94.7% accuracy, drastically reducing analysis time from weeks to hours. However, challenges remain, particularly in areas such as algorithmic transparency, bias prevention, and ensuring the integrity of the chain of custody. This research offers a framework for incorporating AI in forensic laboratories, while also addressing crucial legal and ethical concerns to ensure the admissibility of AI-analyzed evidence in court. These considerations are essential for the widespread acceptance and use of AI in forensic investigations.

This paper reviews the role of Artificial Intelligence (AI) in Islamic education within secondary schools, emphasizing both its practical uses and the ethical challenges it presents. The review looks into the current trends, tools, and the impact of AI on the learning experience, as well as its ethical implications from an Islamic perspective. The study follows a systematic literature review (SLR) approach based on the PRISMA guidelines and includes research from 2022 to 2025, sourced from platforms like Google Scholar. After a thorough selection process, 15 articles were included in the review, offering valuable insights into the technological and ethical aspects of AI in Islamic secondary education. The use of AI has notably enhanced learning outcomes in Islamic education by allowing personalized learning, boosting student engagement, and streamlining feedback mechanisms. Tools like intelligent tutoring systems and educational chatbots have been widely adopted. However, challenges around data privacy, algorithmic bias, and technology access persist. Additionally, incorporating Islamic ethical values into AI-driven educational platforms presents both opportunities and challenges. Addressing these ethical implications is vital, requiring frameworks that align with Islamic principles such as maṣlaḥa (public welfare), justice, and human dignity. Education policies and teacher training programs should concentrate on promoting the responsible use of AI, ensuring it improves educational experiences while preserving ethical and cultural integrity.

Background: The rapid development of blockchain technology and smart contracts has fundamentally transformed contractual relationships by shifting the role of human interpretation and enforcement toward automated, code-based, and decentralized systems. This transformation generates complex legal implications, particularly regarding the evolution of contractual liability, which is increasingly distributed and no longer centered on a single legal subject. Objective: This study aims to analyze the evolution of contractual liability in smart agreements and examine how such transformation affects the fundamental principles of traditional contract law within modern legal systems. Methods: This research employs a normative and conceptual legal approach, supported by an analysis of blockchain regulations across multiple jurisdictions, case studies of smart contract implementation, and a comparative legal analysis between civil law and common law systems, complemented by a multidisciplinary literature review. Results: The findings indicate that contractual liability in smart agreements has evolved from a centralized fault-based liability model to an algorithmic, distributed, and code-dependent liability structure within blockchain ecosystems. This evolution creates new legal challenges concerning the attribution of liability, legal certainty, and the limitation of judicial intervention in automated contractual arrangements. Furthermore, the study identifies a tension between technological efficiency and substantive legal justice, highlighting the need for adaptive legal frameworks capable of accommodating decentralized technologies while ensuring the protection of legal rights and accountability of involved parties.

The development of digital technology has encouraged the government to utilize social media as an effective means of public communication. The Ministry of Agriculture is one institution that actively uses Instagram to convey information, build a positive image, and interact with the public. This study aims to determine the Public Relations strategy in managing the Instagram social media account @kementerianpertanian. This study uses the Public Relations strategy theory from Cutlip and Center, which consists of four stages: problem identification, planning and programming, communication and action, and evaluation. The research method used is a descriptive qualitative approach, with data collection techniques through in-depth interviews and documentation of the Ministry of Agriculture's Public Relations team. The results show that the Ministry of Agriculture's Public Relations has implemented a planned communication strategy, starting from planning informative and educational content, utilizing Instagram features such as reels, stories, and live to increase interaction, to routine evaluation based on engagement data (likes, shares, comments, and saves). This strategy also adapts to social media trends and audience needs. Public Relations actively responds to user questions and comments to maintain two-way communication. However, challenges such as negative comments, limited resources, and changes in the Instagram algorithm are obstacles that still need to be overcome. Overall, the implemented strategy has successfully supported the improvement of the image and transparency of public information within the Ministry of Agriculture.

This study critically reassesses Islamic economic law within the rapidly expanding digital economy, emphasizing the necessity of a globally coherent Sharia-compliant regulatory architecture. Using a qualitative library research method, the paper draws from classical jurisprudence, contemporary fintech literature, and international Sharia standards to examine the tensions emerging from technological innovations such as artificial intelligence, blockchain, digital assets, and Islamic fintech platforms. Findings reveal significant regulatory fragmentation across Muslim jurisdictions, inconsistencies in Sharia interpretation, and gaps in digital literacy, which collectively hinder harmonized governance. Moreover, emerging digital financial instruments raise pressing ethical concerns related to transparency, algorithmic bias, cybersecurity, and compliance with prohibitions against riba, gharar, and maysir. The study argues that Maqasid al-Shariah—particularly the principles of ḥifẓ al-māl, maslahah, and harm prevention—provides a holistic framework for balancing innovation with ethical integrity. It also identifies the urgent need for cross-border regulatory harmonization, AI ethics protocols, enhanced Sharia governance structures, and tailored regulatory sandboxes for Islamic fintech. Ultimately, the research offers a conceptual foundation for constructing a future-ready, inclusive, and ethically resilient global Islamic digital finance system.

This study critically reassesses Islamic economic law in response to the accelerating digital transformation reshaping global financial ecosystems. Drawing on classical jurisprudential sources, international Sharia standards, and contemporary literature on Islamic fintech, the research employs a qualitative library-based methodology to evaluate how digital innovations—particularly AI, blockchain, digital assets, and Islamic fintech platforms—challenge existing regulatory structures across Muslim jurisdictions. The findings reveal substantial fragmentation in Sharia governance, inconsistencies in regulatory interpretation, and limited technical capacity, which collectively hinder the development of a cohesive global framework. The study argues that the integration of Maqasid al-Shariah offers a robust ethical and legal foundation for constructing a global Sharia-compliant regulatory architecture capable of addressing cybersecurity risks, algorithmic bias, consumer protection gaps, cross-border inconsistencies, and the complexities of emerging technologies. The analysis highlights the need for harmonized standards, AI ethics protocols, enhanced RegTech adoption, and dynamic regulatory sandboxes to balance innovation with Sharia compliance. Ultimately, the research proposes a forward-looking model that embeds Islamic ethical principles within contemporary digital governance, ensuring that Islamic finance remains resilient, transparent, and socially responsible in the digital age.

Digital transformation is reshaping the way economic value is created, exchanged, and governed across borders. This study aims to analyze how digital transformation redefines the paradigm of business law in the era of globalization, as well as the interaction between business law and global regulatory politics in responding to the challenges of the digital economy. A normative legal approach is employed, grounded in the analysis of digital business law regulations within the global political-economic system. Data is collected through literature review of statutory frameworks, international policy instruments, and scholarly works. The findings reveal that digital transformation not only changes how transactions are conducted, but also reconfigures the locus of economic power through the control of data, algorithms, and digital platform infrastructure. Consequently, the legal paradigm shifts from merely regulating market actors’ behavior to designing a digital justice architecture that emphasizes accountability, algorithmic transparency, interoperability, and contestability. At the global level, the interaction between business law and digital regulatory politics reflects ongoing tensions between market openness and data sovereignty producing regulatory pluralism while simultaneously encouraging convergence toward principles of fair, adaptive, and responsive digital governance. This study concludes that business law in the digital era must serve not only as a regulatoryinstrument governing transactions, but as an architect of the global economic order one that safeguards innovative growth without compromising market fairness and fundamental rights, while enabling the strengthening of adaptive national regulatory frameworks aligned with evolving global dynamics.

This study aims to analyze the role of TikTok as a digital marketing tool in increasing the number of streams and musicians' income, with a case study of the viralization of the song "Mangu" by Fourtwnty. Using a qualitative approach with a case study method, this study explores the dynamics of the virality of music content on the TikTok platform and its impact on the digital music ecosystem. The results show that the virality of songs is not solely triggered by algorithms, but also by the power of emotional narratives, the relevance of lyrics to the user experience, and the active participation of the audience in the form of production. This phenomenon is driving cross-platform conversions, where TikTok users are switching to streaming services such as Spotify and YouTube, thereby increasing digital royalties and opening up live performance opportunities for musicians. Organic marketing strategies based on audience engagement have proven to be effective in creating broad and sustainable exposure, especially among the digital native generation. This research confirms that TikTok is not only an entertainment platform, but also a strategic medium in building music branding and monetizing works creatively. These findings provide important implications for independent musicians and the music industry in designing adaptive and participatory promotional strategies in an increasingly competitive digital economy.

In an era of increasingly open and developing information, the image of state institutions is a reflection of a government and can affect public trust. Therefore, LAN RI Public Relations carries out Digital Public Relations activities using social media so that LAN RI can maintain its image in the eyes of the public. The purpose of this research is to describe Regina Luttrel's SOME theory in the activity of using social media in maintaining the image of the institution. The theory used in this research is the SOME theory which has the dimensions of Share, Optimize, Manage, and Engange (Regina Luttrell). This research also uses image theory which consists of Perception, Cognition, and Motive dimensions (Walter Lippmann). This study concludes that LAN Public Relations in the Concept of The Circular Model of SOME implements Share by utilizing various social media platforms. Content is organized through a curation process that is tailored to the institution's guidelines to create relevant and informative communication. Through Optimize, the effectiveness of message delivery is measured based on data analytics with strategies that consider platform algorithms. In the Manage stage, LAN's PR team monitors and analyzes emerging issues, ensuring a quick response to sensitive issues. Engage efforts are demonstrated through surveys, quizzes, discussion forums, and employee personal branding efforts that strengthen public engagement while building trust.

Government procurement, particularly in Indonesia, remains highly susceptible to corruption due to systemic regulatory loopholes and excessive human discretion, often characterized by collusion and bid-rigging. This institutional vulnerability defines the traditional "boundaries of corruption" as the discretionary corridors within existing administrative law. This research aims to fundamentally redesign these boundaries by shifting control from human discretion to technological enforcement. This study employs normative legal research focusing on the Presidential Regulation on Procurement, integrated with a technological design approach relevant to the journal. The core contribution is a reform model proposing the mandatory integration of AI-powered Smart Contracts and Distributed Ledger Technology (Blockchain) into the public procurement process. Key findings indicate that the primary corrupt boundary lies in ambiguous clauses concerning direct appointments and contract amendments. We propose that an AI-based system can monitor real-time pricing anomalies and bidder networks (network analysis), while Smart Contracts can automate and audit execution, thereby eliminating human factor vulnerability. This redesign transforms the boundaries of corruption from a matter of criminal enforcement to one of algorithmic inevitability, providing a robust, transparent, and self-auditing framework for digital governance.