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Security in e-commerce applications is a crucial factor that significantly affects user trust. Many users often feel anxious about the confidentiality of personal data, transaction security, and the potential for misuse of information. This study is a systematic literature review (SLR) using the PRISMA model, aiming to analyze in depth the influence of security on user trust in the context of e-commerce applications. Through this review, relevant previous studies on user security and trust were identified and evaluated to provide a more comprehensive understanding. The results of the analysis show that the improvement and implementation of superior security features, including strict data protection, multi-layered authentication, and transparent and robust privacy policies, have an essential role in growing and strengthening user trust. Guaranteed security not only creates a sense of convenience during the transaction process, but it is also very effective in increasing and maintaining user loyalty to the e-commerce platform in question. Improving security can be interpreted as a strategic investment for the sustainability of digital businesses.

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.

The exchange of information in the digital era has become a general need for society. However, the information sent often has a public or confidential nature. Therefore, security is needed so that confidential information remains safe. Cryptography is a field of knowledge used to secure information using encryption and decryption processes. One of the cryptographic methods used is the permutation method, which changes the layout, sequence, or structure of data into a form that is difficult to understand without knowledge of the exact key. Implementing cryptography using the permutation method in Android-based applications can increase the security and privacy of user data, as well as protect sensitive information from unauthorized access. This research aims to implement permutation method cryptography in Android-based applications to protect the confidentiality or privacy of user data. By using the permutation method, the sequence of bits or characters in the data is scrambled so that it is difficult for unauthorized parties to understand. The research results show that the implementation of permutation method cryptography in Android applications can provide a higher level of security in maintaining data confidentiality. However, it is worth considering that simple permutation methods may not be secure enough to deal with more sophisticated attacks. Therefore, choosing a stronger cryptographic method needs to be considered to achieve a higher level of security. In conclusion, implementing cryptography using the permutation method in Android-based applications can increase the security and privacy of user data. The permutation method is able to randomize the sequence of bits or characters in the data so that it is difficult for unauthorized parties to understand. However, for a higher level of security, it is necessary to consider stronger cryptographic methods.

The rapid growth of online commerce in Indonesia has significantly transformed the way people fulfill their daily needs by providing easier, faster, and more flexible access to goods and services through digital technology. Despite these advantages, the development of e-commerce also presents serious challenges, including rising cases of online fraud, discrepancies between advertised and delivered products, failed transactions, and personal data breaches that threaten consumer privacy. These issues create imbalances in digital contractual relationships, undermining trust and legal certainty for buyers. This study aims to analyze the implementation of the principle of fairness for consumers in e-commerce practices in Indonesia, while also identifying regulatory weaknesses and existing dispute resolution mechanisms. Using a normative legal research approach supported by case studies, the study examines the effectiveness of relevant legal frameworks, particularly the Consumer Protection Law (UUPK) and the Electronic Information and Transactions Law (UU ITE). The findings reveal that although these regulations provide a legal basis for consumer protection, their implementation remains inadequate. Weak supervision of online business actors, limited accountability of platform providers in ensuring transaction security, and complex, costly compensation procedures continue to hinder consumer rights protection. These conditions highlight the urgent need to strengthen consumer protection systems that are more adaptive, efficient, and oriented toward public interest. The study emphasizes the importance of improving online dispute resolution mechanisms, enhancing transparency and responsibility of digital platforms, and expanding digital literacy among consumers. Such measures are essential to ensure that fairness in e-commerce is not only guaranteed normatively, but also effectively realized in everyday digital transactions.

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.  

The development of the digital economy has driven major changes in consumer behavior, from traditional transactions to online interactions. These changes present both challenges and opportunities for businesses, particularly in the e-commerce sector, where consumer trust, data privacy, and digital technology adoption are important factors in decision-making. This study aims to map global trends in online consumer behavior research in the context of the digital economy using bibliometric analysis. Data was collected from the Scopus database using the keyword “online consumer behavior” for the period 2020-2025. The dataset was exported in CSV format and analyzed using VOSviewer and R Studio (Biblioshiny). The analysis included annual publication trends, identification of authors, journals, countries, as well as keyword mapping and citation networks. The results show a significant increase in publications after 2020, with China, the United States, and India as the main contributors. Keyword mapping reveals four research clusters: consumer trust and data privacy, e-commerce and digital platform adoption, consumer experience and personalization, and social commerce and social media influence. These findings confirm a growing research focus on issues of digital trust and opportunities for utilizing new technologies such as artificial intelligence and social media. This study provides a comprehensive overview of global trends in online consumer behavior and an important contribution to academics, practitioners, and policymakers.

The development of information technology in the era of the Industrial Revolution 5.0 has brought significant changes to the world of education, including guidance and counseling services in schools. The use of artificial intelligence (AI)-based chatbots is an innovation that can improve the effectiveness, accessibility, and interactivity of services for students. However, on the other hand, the use of this technology also raises challenges related to ethics, privacy, and the decline of humanistic values in counseling interactions. Based on this, this study aims to analyze the positive and negative impacts of chatbots on the effectiveness of guidance and counseling services in schools. This study uses library research. Data were collected from various sources, such as books and journals related to the impact and role of chatbot use in guidance and counseling services. The results of the study show that the use of chatbots has negative and positive impacts that are very helpful and beneficial in guidance and counseling services in the current digital era, but they only function as a supporting tool and cannot replace the role of human counselors.

This study investigates the impact of ethical norms in the application of artificial intelligence (AI) on personalized learning satisfaction among college students in Guizhou. The research focuses on how ethical aspects, such as data privacy, algorithmic fairness, and transparency, affect students' experiences with AI-driven educational tools. It underscores the importance of user control, ethics training, and system transparency in building trust and promoting active engagement in AI-powered learning environments. Findings from a sample of 388 college students reveal that when students are informed about the ethical considerations behind AI technologies and have control over their data, they exhibit higher satisfaction with personalized learning experiences. Furthermore, the study highlights that the integration of ethical principles into AI applications leads to a more supportive and trustworthy educational environment, improving overall learning outcomes. This research emphasizes that ethical AI practices are essential for fostering a positive and productive learning experience in the context of higher education.

The rapid growth of financial technology (fintech) Peer-to-Peer Lending (P2PL) in Indonesia has created both opportunities and challenges, particularly regarding debt collection practices by third parties (debt collectors). Such practices often result in violations of consumer rights, including intimidation, harassment, and breaches of privacy. To address these issues, the Financial Services Authority of Indonesia (OJK) issued Regulation No. 22 of 2023 on Consumer and Public Protection in the Financial Services Sector, which establishes legal standards for protecting fintech P2PL consumers. This study aims to analyze the regulation of debt collection by third parties under OJK Regulation No. 22/2023, assess the forms of legal protection for consumers, and identify the obligations of fintech P2PL providers in managing collection practices. The research applies a normative juridical method with statutory and conceptual approaches. The findings indicate that OJK Regulation No. 22/2023 provides consumer protection through preventive mechanisms (mandatory transparency, prohibition of intimidation, and regulation of third-party involvement) and repressive mechanisms (complaint handling and administrative sanctions). However, challenges remain in implementation, such as low consumer literacy, outsourced collection practices, and weak on-site supervision. Therefore, stronger regulation, tighter controls by providers, and collaboration among regulators, law enforcement, and fintech associations are required to ensure optimal consumer protection.

This study presents a Systematic Literature Review on Artificial Intelligence (AI) and Natural Language Processing (NLP) applications for customer support automation and digital service optimization. The review follows the PRISMA framework to ensure methodological rigor and transparency, focusing on literature published between 2020 and 2025 from the Scopus database. The findings reveal that AI-driven technologies, including Machine Learning, Deep Learning, and Large Language Models, have significantly improved efficiency, response time, and customer satisfaction in customer support and digital service. Common NLP applications include sentiment analysis, ticket classification, and automated response generation. Among these, hybrid and transformer-based models demonstrate superior accuracy and contextual understanding compared to traditional algorithms. However, several challenges persist, including data quality limitations, privacy and security concerns, algorithmic bias, and linguistic ambiguities such as sarcasm and negation. Moreover, issues related to trust and ethical adoption continue to influence user acceptance of AI systems. This review provides a comprehensive synthesis of current methodologies, trends, and research gaps, offering insights for future studies to develop explainable, secure, and human-centered AI systems that enhance the sustainability and transparency of digital customer support services.

This Community Service Program (PkM) arises from the significant challenges faced by Vocational High School (SMK) students in adapting to the rapid progression of the digital era and the widespread use of artificial intelligence (AI). In an environment flooded with online information, many students tend to accept and share digital content without adequately verifying its validity, leaving them susceptible to misinformation, deceptive media, and inaccurate data. Ethical risks linked to AI misuse have also surfaced, including plagiarism through automated text-generation tools, excessive reliance on chatbots without ethical consideration, and potential privacy breaches due to limited awareness of technological vulnerabilities. To respond to these issues, the PkM program adopts an educational strategy focused on critical digital literacy training and mentoring tailored for SMK students. The initiative highlights the importance of critical thinking in evaluating and validating digital information, while simultaneously promoting ethical responsibility in using AI. Through workshops, case-based simulations, group discussions, and practical content analysis, students learn to recognize digital manipulation and reflect on the social implications of AI. Expected outcomes include increased ethical digital awareness, the development of a sustainable training module, academic publications, and long-term collaboration between schools and universities, ultimately preparing students to be competent, ethical, and responsible digital citizens.

The rapid development of digital technology has increased the risk of privacy violations and cybercrimes targeting personal data. This study aims to analyze the role of criminal law in personal data protection and the prevention of cybercrimes in Indonesia, as well as to identify the challenges and strategies for strengthening law enforcement in the digital era. The research method used is a qualitative approach with a juridical-normative method through library research on regulations, particularly Law Number 27 of 2022 concerning Personal Data Protection (PDP Law), as well as related academic literature. The results of the study show that criminal law serves a dual function, acting as a repressive tool through the imposition of criminal sanctions on offenders, and as a preventive instrument in enhancing compliance with data security standards. Although the PDP Law provides a strong legal foundation, its implementation still faces challenges such as the suboptimal functioning of data protection institutions, limited capacity of law enforcement officers, and low public awareness of digital ethics. This study recommends institutional strengthening, enhancement of law enforcement human resource capacity, as well as public education and cross-sectoral synergy to create an effective and sustainable data protection system. Thus, criminal law plays a central role in safeguarding personal data and preventing cybercrimes in Indonesia.

The rapid growth of social media has yielded vast digital traces with high potential for improving corporate forensic auditing. Their utilization, however, lags behind through technological reliability, privacy, and adherence to the law. The aim of this study is to explore effective utilization of social media digital traces in forensic auditing and develop a functional framework that lags neither behind through technological efficiency nor adherence to the law and ethics. A mixed-method design was utilized, combining quantitative machine learning analysis with qualitative document analysis and semi-structured interview insight. Quantitative data drawn from social media digital traces were processed using Random Forest algorithm with SMOTE for class balancing, while qualitative data were processed using thematic analysis. The results indicated high model performance with 91.3% accuracy and AUC-ROC of 0.94, together with three emergent themes: digital integration, ethics and privacy, and regulation and legality. The results demonstrate that digital footprints may serve as an effective early and reliable indicator for fraud detection, provided they are accompanied by clear regulatory and ethical frameworks. Its principal contribution lies in the development of an operational model that combines machine learning with legal and ethical perspectives, a new strategy which matures methodological refinement and practical application in today's forensic auditing.

This article explores the background, methods, results, and conclusions of digitalization in public services, focusing on its impact on the social administration ecology. It examines the rapid adoption of e- government and ICT (information and communication technology) by public administrations worldwide since 2020, investigating both opportunities and risks. Methods include a systematic literature review and qualitative case studies drawn primarily from peer-reviewed journals published between 2020 and 2024. The results show that digitalization in public services offers significant benefits: improved efficiency, transparency, citizen participation, reduced corruption, and enhanced environmental governance. However, it also presents risks, in particular widening digital divides, loss of human aspects in administrative interaction, ethical concerns (data privacy, algorithmic bias), regulatory and infrastructural challenges, and potential exclusion of marginalized groups. The discussion elaborates on how these opportunities and risks reshape the ecology of social administration defined here as the interplay of structures, actors, norms, technologies, and environment in public administration. In conclusion, the paper argues that digitalization must be managed with attention to equity, ethical governance, infrastructure readiness, and regulatory safeguards. Key recommendations include fostering digital literacy, inclusive design, transparency in data and algorithmic processes, and participatory governance.  

For decades, television as a mass media has been the most popular medium for entertainment and information. Because of its audiovisual nature, television can present music shows, movies, soap operas, variety shows, reality shows, and other programs involving celebrities adored by the public. The purpose of this study is to understand and analyze the exposure of artists' privacy on the Insert Pagi program on TRANS TV on December 1, 2024, from the perspective of the Broadcasting Behavior Guidelines for Standard Broadcasting Programs (P3SPS). Several related theories are involved in this research, including TV Production, Broadcasting, Television, Television Program Genres, Infotainment, Broadcasting Law and Ethics, and the Broadcasting Behavior Guidelines for Standard Broadcasting Programs (P3SPS). The method used in this study is descriptive qualitative. The data collection techniques conducted by the researcher include in-depth interviews, documentation, and observation. The result of this research on the Insert Pagi program on December 1, 2024, is the discrepancy of the program that was broadcast due to the information presented not aligning with the provisions of the articles of P3SPS. This is evident in the exposure of the privacy of artist couple Andrew Andika and Tengku Dewi in the broadcast. As stated in the Broadcasting Behavior Guidelines Article 13, which reads, “Broadcasting institutions must respect a person’s privacy rights in producing and/or broadcasting a program, whether live or recorded.

The licensing of clinics and hospitals is crucial for achieving quality and equitable healthcare in Indonesia. The legal framework, including the 2009 Health Law and the 2020 Omnibus Law, has introduced a risk-based approach via the Online Single Submission (OSS) system to streamline the process. However, significant challenges remain. These include bureaucratic complexity, inconsistent regional regulations due to autonomy, lack of data integration between institutions, and high accreditation costs. These barriers particularly hinder small investors and limit the distribution of healthcare facilities in remote areas. Recent reforms, such as the National Digital Public Service Mall (MPP Digital), aim to address these issues by reducing licensing time to under one hour, thereby boosting transparency and efficiency. Despite this progress, unresolved issues concerning patient data privacy, the uneven distribution of medical personnel, and conflicting environmental regulations still need harmonization. To foster inclusive investment and support the 2030 Universal Health Coverage (UHC) goals, this research proposes key solutions: implementing fiscal incentives, adopting AI technology for verification, and strengthening public-private partnerships. With these targeted reforms, the licensing system can become a powerful driver for better healthcare access and sectoral growth.

In an ever-evolving digital era, the protection of human rights has become an increasingly complex and urgent challenge. Digital constitutionalism emerges as an innovative and necessary framework to address this challenge, integrating human rights principles into technology-based state governance. This journal aims to explore how digital constitutionalism can strengthen the protection of human rights while analyzing the challenges and opportunities faced in its implementation. Through a qualitative analysis approach, this research collects and analyzes relevant literature as well as case studies from various countries that have adopted the principles of digital constitutionalism. The findings indicate that while digital constitutionalism offers significant potential to enhance human rights protection, substantial challenges such as privacy, data security, and access to information still need to be addressed. Furthermore, the role of government, civil society, and the private sector is crucial in creating an environment that supports the protection of human rights in the digital space. The conclusion of this research emphasizes the importance of cross-sector collaboration to ensure that human rights are not only constitutionally recognized but also effectively protected in practice. Thus, digital constitutionalism serves not only as a tool for safeguarding human rights but also as a driver for creating a more transparent, accountable, and responsive governance system to meet the needs of society in the digital era.

The rapid advancement of intelligent systems has accelerated the adoption of data-driven solutions across diverse industries, creating an increasing need for models that are both efficient and privacy-preserving. While traditional centralized machine learning approaches offer strong predictive capabilities, they often struggle with challenges related to data privacy, network latency, and computational inefficiency-especially in distributed environments with heterogeneous devices. To address these limitations, recent research has explored hybrid learning frameworks that integrate federated learning, edge computing, and dynamic model optimization techniques. These hybrid approaches enable models to process and learn from data closer to the source while maintaining stringent privacy requirements by keeping raw data localized. Additionally, the incorporation of pruning strategies, adaptive model compression, or multimodal data fusion contributes to improved speed, scalability, and accuracy in real-time inference tasks. Such frameworks have demonstrated notable promise in settings characterized by high data volume, operational complexity, and the necessity for fast anomaly detection or decision-making. However, despite these advancements, several challenges remain, including synchronization delays across edge nodes, variability in hardware capabilities, and the need for more efficient aggregation algorithms. Future developments may involve leveraging next-generation pruning techniques, energy-aware edge scheduling, decentralized orchestration protocols, or the integration of digital twin technologies to further enhance performance. Overall, hybrid distributed learning frameworks represent an important evolution toward more intelligent, secure, and autonomous computational ecosystems capable of supporting the next wave of smart applications.

Development technology information , especially use WhatsApp application , has bring up phenomenon use stickers and memes as means expression in digital communication . However , misuse face somebody without permission in meme form or sticker cause problem serious law . Research This aim study provision related laws in Indonesia editing and distribution face individual without consent , use method study normative based studies library . Study results show that action the violate Copyright Act , Act Information and Electronic Transactions (ITE Law), as well as Constitution Personal Data Protection . Violations This can charged sanctions criminal Because concerning moral rights , rights economy and privacy individual . In addition to the aspects law , abuse this is also influenced by factors economy , environment social , and digital culture of society . Therefore that , is necessary education and enforcement more laws firm in order to create ethical and responsible digital space answer .

Artificial Intelligence (AI) has increasingly shaped the digital transformation of higher education, particularly through its integration with Learning Management Systems (LMS). Features such as intelligent tutoring, predictive analytics, plagiarism detection, and automated grading are reshaping teaching and learning. However, questions remain regarding the readiness of higher education institutions and the acceptance among lecturers and students. This paper presents a Systematic Literature Review (SLR) of studies published between 2020 and 2025, focusing on readiness and acceptance of AI in LMS. Guided by the PRISMA framework, 220 records were identified, 85 screened, 40 assessed for eligibility, and 20 included in the final analysis. Findings highlight that readiness is largely influenced by infrastructure, digital literacy, and institutional policy, while acceptance is shaped by perceived usefulness, ease of use, trust, and behavioural intention. Although challenges such as ethics, cost, and privacy concerns persist, opportunities exist in the form of personalized learning and intelligent decision-making. The review concludes that while AI adoption in LMS is progressing globally, developing contexts such as Malaysian polytechnics require further research and targeted interventions to enhance both readiness and acceptance.