Publication Search

This study aims to examine the cyber policies implemented by the Indonesian government in light of the impact of digital technology developments on the younger generation, with a view toward achieving inclusive and youth-friendly governance. This study employs a descriptive qualitative method using a critical discourse analysis approach based on van Dijk’s perspective. The research was conducted in three stages: data collection, data analysis, and presentation of results. The data source for this study is Law No. 1 of 2024. The data consists of structured documents collected using the read, observe, and record technique. The results indicate that the cyber policies in Law No. 1 of 2024 mark a shift from a reactive to a proactive approach by prioritizing child protection. This policy expands the scope of protection to include personal data, privacy, and child safety in the digital space, while also affirming the responsibilities of Electronic System Operators. The research findings are expected to enrich understanding of the importance of a policy communication model that is creative, transparent, participatory, and responsive in fostering literacy and critical awareness regarding the use of information technology. Thus, this research is expected to contribute to supporting the realization of a more inclusive digital space governance that is youth-friendly and aligned with the strengthening of moral values and social ethics in community life.  

This literature review analyzes the impact of data privacy issues on consumer usage intention in Indonesian e-commerce platforms. The study aims to map privacy threats and understand the phenomenon of the privacy paradox in the context of digital retail. Using a literature review method, this study synthesized findings from international journals published in the last five years from Scopus, Web of Science, and Google Scholar databases. The results show that excessive data collection, unauthorized secondary use, and data breaches significantly increase consumer privacy concerns. However, the research also confirms a privacy paradox, where consumers willingly share personal data to gain shopping convenience and promotions. The findings highlight that strong brand trust and a seamless user experience can effectively mitigate these privacy fears. Practically, this study recommends that e-commerce companies implement the Privacy by Design framework, utilize dynamic passwords (OTP), and provide transparent privacy settings as a competitive marketing advantage. Future research should explore specific regional demographics and the direct impact of new technologies like AI chatbots on consumer security perceptions.

The rapid growth of digital commerce has encouraged companies to integrate digital and physical marketing channels to create seamless and consistent customer experiences. This study aims to analyze the role of integrated marketing channels through omnichannel strategies, the utilization of Artificial intelligence (AI), and their impact on customer experience in the context of digital commerce. The study employs a Systematic literature review (SLR) approach by examining relevant scholarly articles related to omnichannel marketing, AI technologies, and customer experience. The findings indicate that integrated marketing channels supported by AI enhance service personalization, customer engagement, operational efficiency, and the quality of interactions between companies and customers. Furthermore, the implementation of omnichannel strategies contributes to higher customer satisfaction and loyalty by providing a more connected experience across multiple customer touchpoints. However, the implementation of integrated marketing channels still faces several challenges, including fragmented channel integration, technological complexity, high investment requirements, and concerns regarding customer data privacy and security. Therefore, effective management of integrated marketing channels is essential for improving customer experience while creating sustainable competitive advantages for companies in an increasingly dynamic digital era.

The digital transformation in Indonesia’s banking sector has significantly increased the use of digital banking services; however, it has not been fully accompanied by optimal customer trust. This study aims to examine the effect of perceived risk, data privacy protection, and digital service quality on customer trust, both partially and simultaneously. A quantitative approach was employed using survey data collected from 150 digital banking users in Indonesia. Data were analyzed using Structural Equation Modeling based on Partial Least Square (SEM-PLS). The results indicate that perceived risk has a negative and significant effect on trust, while data privacy protection and digital service quality have positive and significant effects on trust. Simultaneously, all variables significantly influence trust, with an R² value of 0.672, indicating strong explanatory power. Compared to prior studies, this research contributes novelty by integrating these three variables into a comprehensive model. The findings reveal that digital service quality is the most dominant factor influencing customer trust. This study concludes that enhancing customer trust requires an integrated approach through effective risk management, strengthened data protection, and continuous improvement in digital service quality.

This research is motivated by the increasing role of Artificial Intelligence (AI) in organizational transformation and the crucial function of leadership in ensuring its successful implementation. The primary objective of this study is to analyze the relationship between leadership, AI integration, and organizational performance, as well as to identify various challenges and supporting factors in the process. This study employs a systematic literature review (SLR) method by examining 30 relevant, reputable scientific articles from the Scopus and Google Scholar databases within the 2020–2026 timeframe through selection, evaluation, and thematic synthesis processes. The results indicate that AI integration significantly contributes to improving operational efficiency, data-driven decision-making quality, and organizational innovation. However, this success heavily depends on the role of adaptive, transformational, and digitally-oriented leadership capable of steering the technological vision. Conversely, major challenges were identified, such as employee resistance, limited digital competencies, and ethical issues surrounding data privacy. This study contributes to strengthening the conceptual understanding of leadership's role as a bridge between technology and organizational performance, while offering practical implications for management in designing effective, inclusive, and sustainable digital transformation strategies.

The PPA Symphony recorded 7,842 cases of violence against children by mid-2024, indicating the need for preventive efforts through early sexual education. Sexual education for children aims to improve their understanding of body awareness, body privacy, and self-protection from inappropriate behaviors. This community service activity aimed to increase students’ understanding of sexual education through interactive PowerPoint media. The activity was conducted at SD Negeri Gebang Surakarta on April 25, 2025, involving 63 students from grades 3, 4, and 5. The method used was an interactive lecture supported by PowerPoint media, storytelling, and mini games. Evaluation was conducted using pre-test and post-test questionnaires to measure students’ knowledge. The results showed an increase in the average knowledge score from 9.827 in the pre-test to 10.210 in the post-test. These findings indicate that interactive PowerPoint media is effective in improving students’ understanding of basic sexual education, particularly regarding body parts, body privacy, safe and unsafe zones, and strategies for refusing uncomfortable behaviors. Therefore, interactive learning media can serve as an effective educational strategy to strengthen early sexual education among elementary school students.

Rapid advances in digital technology bring various benefits and risks, including the threat of cybercrime, which can particularly affect Generation Alpha. The purpose of this seminar was to raise awareness and understanding among students at SMK Bina Patriot of the importance of protecting personal data on digital platforms. The seminar was attended by 62 participants who are active internet users in their daily lives. The seminar was conducted interactively through lectures, case studies, and training on steps to protect personal data, such as creating secure passwords and managing privacy on social media. The evaluation of the results showed a significant increase in participants' understanding, reaching an average of 97%. It is hoped that this will become a strong foundation of digital literacy for the younger generation in facing the challenges of the cyber world wisely and safely. This increased understanding is expected to be a strong foundation for Bina Patriot Vocational School students to develop their digital literacy, which in turn will help them to be able to face the challenges of the digital world wisely, safely, and responsibly.

Rapid advances in digital technology bring various benefits and risks, including the threat of cybercrime, which can particularly affect Generation Alpha. The purpose of this seminar was to raise awareness and understanding among students at SMK Bina Patriot of the importance of protecting personal data on digital platforms. The seminar was attended by 62 participants who are active internet users in their daily lives. The seminar was conducted interactively through lectures, case studies, and training on steps to protect personal data, such as creating secure passwords and managing privacy on social media. The evaluation of the results showed a significant increase in participants' understanding, reaching an average of 97%. It is hoped that this will become a strong foundation of digital literacy for the younger generation in facing the challenges of the cyber world wisely and safely. This increased understanding is expected to be a strong foundation for Bina Patriot Vocational School students to develop their digital literacy, which in turn will help them to be able to face the challenges of the digital world wisely, safely, and responsibly.

This article examines the digitalization of Islamic education management in the Industry 5.0 era by emphasizing a shift from mere “digital administration” to value-based governance. The focus goes beyond adopting applications; it highlights a deeper transformation in how institutions manage processes, data, services, and decision-making to enhance effectiveness, accountability, and alignment with the broader purposes of Islamic education. The article synthesizes key pillars of transformation, including system integration across academic, financial, and learning services, strengthened data governance, capacity building for human resources, and cultural change management. While digitalization may improve efficiency and transparency, the article also discusses recurring risks such as digital divides, organizational resistance, vendor dependency, and ethical/privacy concerns, along with practical mitigation strategies. The main contribution is a conceptual governance framework that connects service performance indicators with institutional values, enabling digital transformation to remain meaningful, trustworthy, and sustainable rather than purely technical or procedural.

The implementation of the Standard Inpatient Class (KRIS) policy presents challenges for hospitals in ensuring equitable service delivery. Organizational readiness depends not only on adequate physical infrastructure but also on an adaptive organizational culture and strong clinical leadership to guide change. As a referral hospital, RS BM must ensure alignment across organizational components to meet KRIS standards sustainably. This study analyzes the influence of infrastructure quality and clinical leadership on organizational readiness for KRIS implementation, with organizational culture as an intervening variable. A quantitative cross-sectional design was used, involving 136 healthcare and medical personnel working in the inpatient units of RS Bhakti Mulia. Data were collected through structured questionnaires and analyzed using Structural Equation Modeling–Partial Least Square (SEM-PLS) to examine relationships among variables. Infrastructure quality and organizational culture significantly and positively affect organizational readiness. Clinical leadership, while not directly influencing readiness, has a significant positive effect on organizational culture. KRIS readiness at RS BM is shaped by infrastructure quality, clinical leadership, and organizational culture, with culture acting as the main mediator. The hospital shows strong readiness but still faces gaps in progress monitoring, inpatient room layout and privacy, leadership direction, and team participation. Strengthening monitoring mechanisms, improving room design according to KRIS standards, enhancing clinical leadership capacity, and fostering a collaborative organizational culture are essential to support comprehensive and sustainable KRIS implementation

The development of artificial intelligence has revolutionized higher education by increasing the efficiency and personalization of learning, but it has also posed a major challenge in the form of a decline in students' critical thinking skills due to their dependence on technology. Therefore, an in-depth philosophical study through the post-positivism, critical theory, and constructivism paradigms is needed to understand its impact on cognitive and epistemological processes. This study aims to analyze how these three paradigms guide the development of critical thinking in the context of AI. It uses a descriptive-analytical method based on secondary data from academic literature such as journals and books that have been critically synthesized. The findings show that post-positivism views AI as a tentative critical realism tool for empirical verification. Critical theory critiques power relations, ideology, and the ethics of technological domination. Constructivism emphasizes the construction of social knowledge through human-centered design that supports creativity and collaboration. The positive impacts of AI include instant feedback and content adaptation, while the negative impacts include social isolation, weak digital literacy, and data privacy. Therefore, the implication is the wise use of AI with the assistance of teaching staff to strengthen reflective analysis, ethical literacy, and paradigm adjustments in accordance with the exact or social sciences to create multidimensional learning in the digital era.

Digital transformation has significantly reshaped human resource management (HRM) through the adoption of Human Resource Information Systems (HRIS), artificial intelligence (AI), big data analytics, e-learning platforms, and remote work technologies. Although these innovations improve efficiency and decision-making, they also generate ethical challenges related to data privacy, algorithmic bias, transparency, and employee monitoring. This article examines the role of professional ethics in HRM within the context of digital transformation, highlighting both emerging challenges and potential opportunities. This study employs a conceptual research approach supported by a comprehensive literature review of scholarly works on HRM, professional ethics, and digitalization. The analysis focuses on core ethical principles such as integrity, fairness, responsibility, professionalism, and confidentiality, and evaluates their implementation in digital HR practices. The findings indicate that unethical use of digital technologies may lead to discrimination, reduced employee trust, and violations of individual rights, particularly through biased AI-based recruitment systems and opaque performance evaluation mechanisms. However, digital transformation also offers opportunities to strengthen ethical HR governance. The use of ethical data management, algorithmic audits, digital transparency, and e-learning-based ethics training can enhance accountability and fairness in HR processes. The study concludes that integrating professional ethics with digital HRM is essential for developing human-centered, sustainable, and trustworthy organizations in the digital era.

The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is accelerating and reshaping how organizations attract, develop, manage, and retain talent. Despite abundant case examples and growing practitioner interest, academic findings remain fragmented regarding the antecedents (drivers), impediments (barriers), and organizational effects (outcomes) of AI-based HR transformation. This paper presents a PRISMA-guided systematic literature review of 112 peer-reviewed articles (2015–2025) to synthesize empirical and conceptual evidence on AI in HRM. Results identify three primary drivers: technological capability, strategic alignment, and a data-driven culture; three critical barriers: ethical concerns (bias, privacy, and transparency), skill and capability gaps, and resistance to change; and three outcome clusters: operational efficiency, enhanced employee experience, and elevated strategic HR contribution. We propose a socio-technical conceptual framework that models drivers moderated by barriers to outcomes, and we advance a research agenda focused on ethical governance, human–AI collaboration, capability measurement, and longitudinal evaluation. The review contributes to theory by integrating socio-technical and dynamic capability  perspectives and provides actionable guidance for HR leaders on responsible AI adoption.

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 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.

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.

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 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.  

This study aims to examine: 1) the effect of perceived usefulness, perceived ease of use, and perceived security and privacy on attitude toward using; 2) the effect of perceived usefulness, perceived ease of use, and perceived security and privacy on the intention to use digital wallets in Aceh Province; and 3) the mediating effect of attitude toward using in the relationship between perceived usefulness, perceived ease of use, and perceived security and privacy on the intention to use digital wallets in Aceh Province. The data collection method employed non-probability sampling with a total of 275 respondents. Data analysis was conducted using Partial Least Squares (PLS)-based Structural Equation Modeling (SEM) via SmartPLS 4.0. The findings show that perceived usefulness, perceived ease of use, and perceived security and privacy positively influence attitude toward using, which subsequently affects the behavioral intention to use. These results indicate that individuals in Aceh are more likely to adopt digital wallets when they perceive them as beneficial, user-friendly, and secure. Furthermore, the mediating role of attitude emphasizes its importance in strengthening the relationship between user perception and the intention to use digital wallet technology (t-value = 5.717, p-value = 0.000).