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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.  

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.

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.

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.

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).

This study analyzes the impact of implementing Indonesia’s Law No. 27 of 2022 on Personal Data Protection (PDP Law) on cybersecurity in the e-business sector. Using a normative qualitative approach through literature analysis, this research examines the regulation’s implications for technical infrastructure, compliance procedures, and human resource capacity development within e-business operations. The findings indicate that although the PDP Law provides a comprehensive legal framework and human-centered principles for personal data protection, its implementation faces technical, operational, and economic challenges, particularly for micro, small, and medium enterprises (MSMEs). These challenges include limited security infrastructure, lack of technical expertise, and high investment costs. Nevertheless, adopting strategies such as multi-layer security architecture, zero-trust security model, privacy by design, and strengthening human resource capacity can enhance consumer trust, industry credibility, and the global competitiveness of Indonesia’s e-business sector. This study contributes to the literature by bridging the gap between personal data protection regulation and cybersecurity practices while offering strategic recommendations for both business actors and regulators.

In this study, to analyze the interest factors in using e-commerce-based accounting information systems among Surakarta private students. This research is quantitative research. The population of this research is private students from Surakarta. The sample determination technique uses the Slovin formula. Data analysis uses SPSS 25. The results of this study prove that perceived ease and trust influence interest in the Shopee e-commerce based accounting information system and perceived risk does not influence interest in using the Shopee e-commerce based accounting information system. So, Shopee e-commerce features must pay attention to service, privacy & security and provide functional features so that they can attract students' attention to use Shopee e-commerce.

Artificial Intelligence (AI) is quickly becoming a game changer in the way businesses build and manage their strategies. This article explores how AI is helping organizations make faster and smarter decisions, streamline operations, and spark innovation across various industries. With the ability to process massive amounts of data, AI tools can uncover valuable insights about market trends and customer behavior, allowing companies to respond more accurately and stay ahead of the competition. From machine learning and generative AI to natural language processing and digital twins, these technologies are transforming everything from internal workflows to how businesses connect with customers. The article also offers a practical roadmap for adopting AI in a business setting, covering steps like evaluating readiness, running pilot projects, and measuring success through return on investment (ROI). It emphasizes the need for strong data infrastructure, skilled teams, and a culture that supports innovation and data-driven thinking. Challenges such as algorithmic bias, data privacy, and internal resistance to change are also addressed. Real-world examples from banking, retail, and manufacturing show how AI can deliver real impact improving efficiency, increasing customer satisfaction, and driving business growth. Ultimately, embracing AI isn’t just about keeping up with technology it’s about shaping the future of smart, strategic, and ethical business.

TikTok's algorithm-based digital marketing strategy, especially through the #FYPMarketing approach, has become an effective method in building emotional connections and increasing Gen-Z consumer loyalty. Through the For You Page (FYP) feature, brands can spread content organically with a wide reach, as long as the content is emotionally relevant, authentic, and participatory. This study uses a qualitative method based on literature studies and analyzes the #ScarlettGlowUp campaign as a case study. The findings show that the success of marketing to Gen-Z is greatly influenced by the use of user-generated content, micro-influencer involvement, and storytelling that is consistent with the values ​​held by the audience. However, challenges such as algorithm manipulation, digital communication ethics, and data privacy issues are obstacles that require an approach based on transparency and social responsibility. This article concludes that the success of the #FYPMarketing strategy depends not only on technological and algorithmic capabilities, but also on trust, clarity of values, and alignment between the brand and its digital community.

Teachers are under increasing pressure to deliver personalized, standards-aligned instruction while managing time constraints and rising workloads. Traditional lesson planning often limits creativity and adaptability due to its complexity and repetitive demands. In response, Artificial Intelligence (AI) has emerged as a promising tool to support instructional planning. This study highlights how AI enhances teacher efficiency, simplifies administrative tasks, and supports differentiated, data-driven instruction. However, these benefits require thoughtful and responsible integration. AI adoption must include safeguards for data privacy, ensure algorithmic transparency so teachers understand the basis of system recommendations, and actively mitigate systemic bias that may disadvantage certain learner groups. Most importantly, teachers should remain actively involved in reviewing and adapting AI-generated content to preserve professional judgment and uphold pedagogical integrity.

Non-Civil Servant Government Employees (PPNPN) are a vital component in the operational activities of an organization. However, their performance management faces challenges in efficiency and standardization. This scientific paper examines the potential implementation of Google Sites as a platform for PPNPN performance management. The analysis focuses on the existing regulatory framework. The proposed model leverages the integration of Google Sites with Google Forms, Google Sheets, and other supporting applications provided by Google to digitize the performance management cycle, from planning, monitoring, and evaluation (based on indicators such as integrity, discipline, teamwork, communication, and service), to documentation and feedback. The main advantages of this platform include administrative efficiency, increased data transparency and accessibility, centralized data management, potential for consisten process, collaboration, and cost-effectiveness. Nevertheless, its implementation faces significant challenges related to the digital literacy gap among PPNPN with diverse roles, data security and privacy issues in the public sector, the need for robust change management, feature limitations compared to specialized HRIS systems, particularly in the Ministry of Finance where the research object's office is located, and the necessity for adequate supporting infrastructure. This research concludes that Google Sites offers a technically viable solution, but its success highly depends on the organizational and human resource readiness of both the HR managers and the PPNPN themselves.

Facebook is a social activity platform that can be done in cyberspace (unreal), allowing for reciprocal interaction between users, one of which is conducting online buying and selling transactions. Privacy violations on social media can occur in various forms such as the spread of personal information without permission, identity theft, online fraud and many more. These cases not only harm individuals but can also have an impact on the reputation and public trust in social media platforms. This study is an empirical legal research study with a qualitative approach. Data collection techniques were obtained from interviews and documentary studies. The research analysis used descriptive qualitative analysis. The results of the study showed that repressive efforts are law enforcement efforts carried out by the NTT Regional Police in dealing with cases of consumer privacy violations carried out by fake accounts on Facebook social media. The obstacles experienced by the NTT Regional Police in dealing with cases of consumer privacy violations carried out by fake accounts on Facebook social media include: Legal aspects, Law enforcement aspects, Facilities and Facilities aspects, Community aspects, and Cultural aspects.

The development of artificial intelligence (AI) in learning media presents challenges related to the uneven readiness of human resources and infrastructure, thus affecting the effectiveness of its implementation. This study aims to examine the effect of AI implementation in learning media development on learning outcomes of students of Faculty of Economics, University of Balikpapan. The method used is quantitative with survey design and Structural Equation Modeling (SEM) analysis using AMOS. The sample consists of 113 students selected by simple random sampling from the population of 376 active students. The results of the analysis showed that the readiness of lecturers and the quality of AI-based learning media had a significant effect on improving student learning outcomes. However, the success of AI implementation is also strongly influenced by infrastructure support and educator training. The findings provide important implications for learning media developers and policy makers to strengthen lecturers' capacity and improve technology infrastructure to support inclusive and sustainable digital transformation of education. In addition, ethical aspects and data privacy should be the main concerns in the development of AI-based learning media.

This study examines how effective group counseling is in improving career maturity and decision-making of students and college students. Approaches such as Trait and Factor, CBT, and CIP as well as creative media such as career bags and IT support the service. The method used was a literature review. The purpose of this study is to determine and analyze how effective group counseling services are in improving career readiness and maturity, as well as to determine its effect on learners' self-efficacy, decision-making, and problem-solving skills. The results showed that group counseling improved participants' career maturity, self-efficacy, and future planning, with a significant increase from pretest to posttest. The use of media and technology encouraged creativity and effectiveness of the services, although privacy and ethical issues still need to be addressed, especially for online services. In addition, external elements such as family and social environment influence. Therefore, group counseling-if conducted in a planned, flexible, sustainable, and appropriately evaluated manner-helps participants prepare for their careers.