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Advances in information technology increasingly require communities to adapt to digital communication tools, particularly email, which functions as a key digital identity for account registration, information exchange, and online transactions. Despite its importance, digital literacy remains limited among the general public, especially rural housewives, many of whom lack awareness of the need for email accounts, have limited operational skills, and are vulnerable to cyber risks such as phishing and data theft. To address this issue, a workshop entitled “Fundamentals of Using Gmail and Account Security” was conducted for the PKK women’s group in Jompo Kulon Village to improve basic digital skills and promote safe online practices. The program aimed to introduce the functions and benefits of email, assist participants in independently creating Gmail accounts, provide knowledge on securing accounts through two-factor authentication, and train participants to send and receive emails. The workshop was delivered through an interactive face-to-face approach combining short presentations and hands-on practice using participants’ mobile devices. Initial sessions explained email as a digital identity, followed by guided account creation and security setup. The final session focused on practicing email communication to reinforce understanding. The results showed high participant engagement, with most participants successfully creating Gmail accounts, understanding essential digital security concepts, and demonstrating basic email usage skills. Overall, the activity increased awareness of personal data protection and is expected to serve as an initial step in strengthening digital literacy among women, enabling them to better adapt to ongoing technological developments.

This community service program aimed to improve students’ understanding and awareness of digital media ethics, particularly language politeness in social media communication. The activity was conducted at a junior high school in Islamic Boarding School Al Falah. The program was designed using participatory and interactive approaches, including lectures, group discussions, role-play simulations, and pre-test and post-test evaluations. The initial findings from the pre-test indicated that most students lacked adequate understanding of ethical digital communication and tended to perceive social media as a free space without rules. After the training, the post-test results showed a significant improvement in students’ comprehension of responsible and polite communication practices in digital environments. Students demonstrated better awareness of the impacts of hate speech, cyberbullying, and misinformation. They were also able to propose constructive and ethical responses to various social media scenarios. The activity resulted in increased digital awareness, positive behavioral changes, and personal commitments from students to promote respectful communication online. This program contributes to strengthening digital literacy and character education among adolescents in rural areas.

The aim of this research is to develop a new strategic model for Indonesian border defense by recalibrating the Lykke Framework. It assesses the relevance of the traditional ends–ways–means framework in addressing modern border threats and proposes adding a risk pillar to improve adaptability and multi-domain integration. Using a Systematic Literature Review (SLR), the study examines policy developments, defense doctrines, surveillance technologies, and geopolitical dynamics influencing Indonesian border security. Literature was sourced from international and national databases (ScienceDirect, SpringerLink, SINTA, BRIN, etc.) for publications between 2018–2025. The findings reveal that Indonesia's border regions face complex threats such as sovereignty violations, transnational crime, cyberattacks, and ideological penetration. These challenges highlight the inadequacy of the traditional ends–ways–means framework without incorporating a fourth risk pillar. The study introduces the New Lykke Model, which enhances the strategic framework for integrated military management, considering geopolitical, operational, socio-cultural, and environmental risks. This model offers practical guidance to stakeholders like the Indonesian National Armed Forces (TNI), Bakamla, and the National Police (Polri), aiming to improve border security operations and policy planning. The study is among the first to adapt the Lykke Model to Indonesian border defense, incorporating an integrated risk pillar for a more comprehensive security strategy.

The development of social media as part of digital technology has significantly transformed patterns of social interaction among adolescents in Indonesia. Social media no longer functions solely as a medium for communication and self-expression, but also as a social space that influences behavioral formation, including deviant and criminal behavior. This study aims to analyze the influence of social media on juvenile criminal behavior from a criminological perspective, with particular attention to social learning processes and the weakening of social control in digital environments. This research employs a qualitative method using a literature study approach by examining scientific journals, official reports, and statistical data related to social media use and adolescent behavior. The findings indicate that high intensity of social media use, exposure to negative content, and the normalization of aggressive behavior in digital spaces contribute to increased vulnerability of adolescents to criminal behaviors such as cyberbullying, online aggression, and other forms of deviance. Within the framework of Social Learning Theory, social media serves as a medium for behavioral learning through mechanisms of observation, imitation, and social reinforcement, while Social Control Theory highlights how weak supervision by families and educational institutions amplifies the risk of deviant behavior. The implications of this study emphasize the importance of preventive, non-penal approaches through strengthening social control, improving digital literacy, and enhancing the active role of families and schools to minimize the risk of juvenile criminal behavior in the digital era.

This study analyzes online fraud as one of the most common forms of cybercrime in Indonesia, which has expanded alongside rapid advances in information and communication technology. These crimes utilize digital platforms such as social media, online marketplaces, and fraudulent websites to deceive victims for unlawful financial gain. The research aims to examine online fraud from a criminological perspective by identifying its causes, patterns, and relevance to routine activity theory and differential association theory. A normative juridical method is employed, using statutory, conceptual, and case-based approaches, with qualitative and descriptive analysis. The findings show that online fraud reflects a shift from conventional fraud to digital-based crimes, driven by low public awareness of cybersecurity, easy access to technology, and weak online supervision. Several fraud schemes were identified, including online investment scams, phishing, and identity impersonation. This study highlights the need for an integrated approach that goes beyond law enforcement by emphasizing digital literacy, public education, and cross-sector collaboration to reduce cybercrime in Indonesia.

This study examines the dynamics of Data Driven Policy implementation in Indonesia, which faces a disconnect between the ambitions of digital regulation and the reality of execution on the ground. Using a qualitative approach with the Three Lenses of Evidence-Based Policy analysis framework (Head, 2008), this study examines the interaction between scientific evidence, political considerations, and professional practices in government data governance. The results show that although legal infrastructure such as Satu Data Indonesia (SDI) has been established, its effectiveness is hampered by structural barriers: the dominance of sectoral egos and a culture of intuitive decision-making (political lens), as well as a mix of digital talent and resistance from a paternalistic bureaucratic culture (practical lens). These findings confirm that data fragmentation and cybersecurity incidents are not simply technical failures, but rather systemic governance failures. Therefore, this study recommends a “soft reform” strategy that integrates the enforcement of technical standards, budget incentive mechanisms, and digital leadership transformation to align data validity with the political realities of the bureaucracy.

Tangerang City has the most applications in Indonesia, with 222 applications. All of these applications are supported by more than 100 servers located in the data center of the Tangerang City Communication and Information Agency. The large number of servers and applications that are managed brings up new problems in the midst of increasing complex cyber threats, especially in government data centers. One of them is how to monitor and respond quickly when there is an attack on the existing system. The implementation of a cyber security system based on Wazuh, Shuffle, and YARA is able to monitor threats in realtime and automate responses against attacks. Wazuh acts as a log-based monitoring and detection platform and behavior analysis, Shuffle is used to automate incident response through integrated workflow, and YARA is applied for signature-based malware identification. The PPDIOO (Prepare, Plan, Design, Implement, Operate, Optimize) method used in this research is used as a framework in designing and evaluating the system. From the research conducted, it is expected that Wazuh successfully monitors anomalies that occur on the server which will then be forwarded to Shuffle to automate the next steps to be taken. YARA integrated with Wazuh also successfully detects and quarantines malicious files that enter the server automatically based on the available signature list.

Paid online matchmaking services that have developed through Facebook use consumer profiles to promote and find partners. This practice raises legal issues, particularly those related to consumer protection and the risk of digital harassment—also known as cyberbullying—in the form of derogatory, discriminatory, or offensive comments about consumers' personal standards that are displayed publicly. The purpose of this study is to assess the legal liability of business actors for cyberbullying when operating online matchmaking services and to assess the extent to which legal protection tools are available to consumers. This study uses a normative legal approach, utilizing case studies of legislation and conceptual studies on the practice of paid matchmaking services on social media. The results of the study show that businesses are required to guarantee the safety, comfort, and protection of consumer rights in all digital-based commercial activities, including managing content and interacting with people on social media. Non-material losses, such as psychological pressure and abuse of consumer dignity, are caused by a lack of supervision and a lack of moderate comment mechanisms. Therefore, regulations on personal data protection must be strengthened, content moderation responsibilities must be determined, and legal accountability mechanisms for business actors in the digital ta'aruf business must be made clear.

The massive adoption of Internet of Things (IoT) devices is expanding the cyberattacks surface, particularly by the Mirai botnet, which exploits the dynamic characteristics of data traffic. This research proposes a Mirai detection approach based on a Recurrent Neural Network (RNN) optimized using Bayesian Optimization to improve prediction accuracy on sequential data. Unlike previous studies, this research utilizes the latest CIC IoT-DIAD 2024 dataset and applies probabilistic optimization to the hyperparameter space, including RNN units, dropout, and learning rate. The experiment was conducted on 201,021 valid data points, with dimensionality reduction using PCA as the optimal point to represent essential features without redundancy. The results show a significant increase in accuracy from 97.95% to 99.69%, accompanied by an 84% decrease in False Negatives, an 86% decrease in False Positives, and an AUC value of 0.9999. These findings confirm that integrating RNN and Bayesian Optimization not only improves numerical performance but also strengthens the reliability of the intrusion detection system for modern IoT ecosystems with controlled computational loads.

The rapid development of the Internet of Vehicles (IoV) has introduced new security challenges, particularly in protecting Controller Area Network (CAN Bus) communications from cyberattacks such as Denial of Service (DoS) and spoofing attacks. This study proposes the implementation of the Extreme Gradient Boosting (XGBoost) algorithm combined with Information Gain feature selection to improve intrusion detection performance in IoV environments. The CICIoV2024 dataset, which represents both benign and malicious traffic, is used as the primary data source. The research process includes data integration, preprocessing, feature selection, data splitting, and model training using a 5-fold cross-validation approach. Experimental results demonstrate that the proposed model achieves outstanding performance, with accuracy, precision, recall, and F1-score exceeding 99.99%, and an Area Under Curve (AUC) value approaching 1.00. Furthermore, Information Gain successfully identifies the most influential CAN payload features, enhancing model efficiency without sacrificing accuracy. These findings confirm that the combination of Information Gain and XGBoost is highly effective for developing a fast, accurate, and efficient intrusion detection system in IoV networks.

The digital era has transformed the financial sector through the integration of FinTech, making it more susceptible to increasingly complex cyber threats. As these risks rise, there has been a significant increase in academic research to better understand the cybersecurity challenges within the financial sector. This study aims to explore the development of cybersecurity research globally within this field. By utilizing bibliometrics, the research analyzes literature data collected from the Scopus database over the last five years. The analysis was conducted using VOSviewer and RStudio to identify dominant clusters, with cybersecurity and network security as the central themes linking various sub-fields, including artificial intelligence, cyberattacks, and phishing. The findings reveal areas of extensive research and highlight gaps that require further exploration. This study provides valuable insights for researchers and professionals in the cybersecurity field, offering a roadmap for future investigations and the identification of underexplored areas that need attention. Ultimately, this research contributes to advancing knowledge in the financial sector’s cybersecurity landscape and assists in shaping future research directions.

This study presents a meta-analysis of open-access accounting information systems (AIS) literature in Indonesia during the digital transition period of 2015-2025. The primary objective is to identify and map the taxonomy of Independent Variables (X) and Dependent Variables (Y) predominantly used in academic and practical research. Through a systematic review of 15 key accredited articles with Digital Object Identifiers (DOI), this research finds that AIS success determinants (Variable X) have evolved from purely technical factors to integrative clusters encompassing Human Capital (competence, training), Organizational (culture, management commitment), and Technological (infrastructure, internal control) aspects. Meanwhile, Dependent Variables (Y) have shifted from mere technical user satisfaction to strategic impacts such as financial report quality, operational efficiency, and MSME business performance. These findings indicate that AIS research in Indonesia is heavily influenced by public sector regulatory contexts and cloud technology adoption in the MSME sector. This report serves as a reference framework for future researchers to explore emerging variables such as artificial intelligence and cybersecurity behavior within the accounting ecosystem.

The illicit circulation of narcotics in Indonesia has undergone a fundamental evolution into cyber-enabled crime, where drug syndicates systematically exploit children as technical operators through digital media to sever the main network chain and evade legal detection. This study aims to analyze the anatomy of the modus operandi of narcotics transactions involving children in the digital realm and examine its legal implications for the process of proof and criminal liability. Utilizing an empirical juridical research method with a sociological approach conducted in the jurisdiction of the Metro Police Resort, Lampung, this research identifies a shift in modus operandi towards the "Map System" or Dead Drop Method. In this modus, the child's role is divided into three sophisticated technical stages: pre-transaction via encrypted communication, field execution (mapping & dropping) using precise GPS coordinates, and post-transaction involving digital cleaning, which creates a phenomenon of crime "gamification" where children perceive the criminal act akin to an online game mission. The legal implications of this phenomenon present serious challenges regarding the validity of electronic evidence, which is volatile due to a weak chain of custody, as well as the reconstruction of the child's mens rea, which points towards premeditated intent (dolus premeditatus) driven by high digital literacy rather than mere negligence. These conditions complicate the application of pure diversion as mandated by law; thus, this study recommends a hybrid punishment approach where law enforcement proceeds to break impunity, but sanctions focus on specific rehabilitation in the Special Guidance Institution for Children (LPKA) to reorient the children's digital skills positively.

This community service activity aims to increase the understanding of students at State Senior High School 2 Mataram regarding information security by introducing the concepts of coding and cryptography in digital messages. The rapid use of messaging applications among teenagers makes students increasingly vulnerable to cyber threats, necessitating education on how data protection works in online communication. This program is implemented using a descriptive method consisting of planning, implementation, and evaluation stages. The material covered includes basic cryptography concepts, end-to-end encryption mechanisms, and the practical process of the Diffie–Hellman key exchange thru the interactive simulation "Alice and Bob." Learning is designed contextually and participatively so that students can connect theory with the digital applications they use every day. The evaluation results showed an improvement in students' understanding, reflected in their active participation, ability to answer questions, and adequate post-test scores. This activity not only strengthens digital security literacy but also raises students' awareness of the importance of protecting personal data in online communication. This program is expected to be the beginning of more sustainable digital security learning development in the school environment.

This community service activity aims to increase the understanding of students at State Senior High School 2 Mataram regarding information security by introducing the concepts of coding and cryptography in digital messages. The rapid use of messaging applications among teenagers makes students increasingly vulnerable to cyber threats, necessitating education on how data protection works in online communication. This program is implemented using a descriptive method consisting of planning, implementation, and evaluation stages. The material covered includes basic cryptography concepts, end-to-end encryption mechanisms, and the practical process of the Diffie–Hellman key exchange thru the interactive simulation "Alice and Bob." Learning is designed contextually and participatively so that students can connect theory with the digital applications they use every day. The evaluation results showed an improvement in students' understanding, reflected in their active participation, ability to answer questions, and adequate post-test scores. This activity not only strengthens digital security literacy but also raises students' awareness of the importance of protecting personal data in online communication. This program is expected to be the beginning of more sustainable digital security learning development in the school environment.

: The rapid expansion of cybersecurity standards and threat intelligence frameworks has led to significant semantic fragmentation among security terminologies, hindering effective information retrieval and interoperability across systems. Traditional keyword-based search approaches are inadequate for capturing the contextual meaning of security terms, particularly within formal frameworks such as NIST, MITRE ATT&CK, and CWE. This study addresses this challenge by proposing CyberBERT, a transformer-based semantic search framework designed to align cybersecurity terminologies through deep contextual representation and ontology-driven reasoning. Research Objectives: The primary objective of this research is to develop a semantic retrieval model capable of understanding conceptual relationships between security terms beyond lexical similarity. Methodology: The proposed methodology fine-tunes a BERT-based model on the NIST Glossary corpus using a combination of masked language modeling and triplet loss objectives to generate discriminative semantic embeddings. These embeddings are further aligned with cybersecurity ontologies, including MITRE ATT&CK and CWE, to enhance semantic consistency and explainability. Semantic retrieval is performed using cosine similarity within a 768-dimensional embedding space and evaluated using Mean Reciprocal Rank (MRR) and Precision@K metrics. Results: Experimental results demonstrate that CyberBERT achieves an MRR of 0.832, outperforming domain-adapted baselines such as SecureBERT and CyBERT. The integration of ontology alignment improves semantic accuracy by over 6%, while robustness evaluations confirm resilience against adversarial linguistic perturbations. Visualization using t-SNE reveals coherent semantic clustering aligned with the five core NIST Cybersecurity Framework functions. Conclusions: In conclusion, CyberBERT effectively bridges semantic gaps across cybersecurity terminologies by combining transformer-based contextual learning with ontological reasoning. The framework offers a robust, interpretable, and scalable solution for semantic search, supporting improved interoperability and knowledge discovery in cybersecurity operations and standards harmonization.

The development of information technology has produced a significant transformation in election administration mechanisms, including within the City of Palangka Raya. The digitalization of various services and information systems requires the General Elections Commission (KPU) to enhance transparency while simultaneously ensuring the security of voter data and election results. This study aims to examine the key challenges faced by the Palangka Raya KPU in balancing the need for information openness with data protection in the digital era. The research employs a qualitative descriptive method through literature review, direct observation, and structured interviews with KPU staff, election supervisors, and relevant stakeholders. The findings indicate that digitalization improves the effectiveness of public information dissemination, including through the use of Sidalih and Sirekap, yet it also introduces vulnerabilities such as potential voter data breaches, cyberattacks, and the spread of disinformation through social media. Moreover, limitations in human resources with technological expertise serve as constraints in optimizing digital security. Conversely, the implementation of data security standards and improvements in voter digital literacy contribute to strengthening public trust in the election process. Thus, the Palangka Raya KPU needs to reinforce cybersecurity infrastructure, enhance internal technical capacity, and broaden public education programs to safeguard electoral integrity amid increasing transparency demands and digital risks. Collaboration among government, academia, and the community is a strategic element in maintaining the quality of democracy in the digital era.

Penelitian ini menganalisis dasar hukum dan tanggung jawab notaris dalam tindak pidana pemalsuan akta otentik berdasarkan Kitab Undang-Undang Hukum Pidana (KUHP) dan Undang-Undang Jabatan Notaris (UUJN). Notaris memiliki kewenangan membuat akta otentik yang berkekuatan hukum sempurna, namun hal ini juga menciptakan celah bagi pemalsuan yang merugikan. Pemalsuan akta termasuk tindak pidana pemalsuan surat, menimbulkan kompleksitas dalam menentukan batas tanggung jawab notaris karena kewajiban verifikasi notaris yang terbatas dalam investigasi materiil, serta adanya perbedaan pendekatan antara KUHP dan UUJN. Penelitian ini menggunakan metode hukum normatif dengan pendekatan statute dan conceptual, mengkaji peraturan dan literatur hukum. Hasilnya menunjukkan bahwa notaris dapat dikenakan sanksi pidana jika terbukti sengaja terlibat dalam pemalsuan. Kesimpulannya, diperlukan harmonisasi antara KUHP dan UUJN untuk memastikan kepastian hukum bagi notaris dan masyarakat, dengan penekanan pada pembuktian unsur kesengajaan (dolus) notaris.

Digital transformation has emerged as a major catalyst for reform in contemporary public administration, reshaping how governments design, deliver, and evaluate public services. This literature review synthesizes key findings from international studies to map the dynamics of technological innovation and bureaucratic adaptation in the era of digital government. The results demonstrate that technologies such as artificial intelligence, blockchain, cloud computing, and the Internet of Things accelerate administrative processes, enhance accuracy, reduce service costs, and strengthen transparency and accountability. However, the review also emphasizes that technological advancement alone is insufficient; the success of digital transformation depends on the capacity of public institutions to reorganize work structures, build digital competencies, and shift bureaucratic culture toward more adaptive and collaborative practices. Furthermore, digital participation platforms have expanded opportunities for citizen engagement, yet persistent digital divides—driven by socio-demographic disparities and unequal access to infrastructure—pose significant challenges to inclusive participation. The literature also reveals recurring barriers related to infrastructure readiness, cybersecurity, resistance to change, and limited digital literacy among public employees. Cross-country evidence from Turkey, Singapore, Italy, Iran, and the UAE shows similar transformation patterns, highlighting bureaucratic adaptation as a mediating factor between technological innovation and governance outcomes. Overall, this review offers an integrated conceptual understanding of digital transformation in public services and underscores the need for holistic strategies that combine technological investment, organizational reform, and inclusive governance to ensure sustainable and equitable digitalization.

The integration of cloud computing and data security systems is vital for the operational success and competitiveness of fintech startups. Cloud computing enables these startups to scale quickly, manage resources efficiently, and reduce infrastructure costs, making it an indispensable tool for businesses in the rapidly evolving fintech sector. However, with the benefits come significant challenges, particularly in data protection and cybersecurity. As fintech services handle sensitive financial data, ensuring robust security measures such as encryption, access controls, and continuous monitoring is crucial to maintaining user trust. Furthermore, regulatory compliance, both local and global, adds complexity to the data protection strategies of fintech companies. This research explores the key factors that drive cloud adoption in fintech, the security challenges associated with cloud environments, and the strategies implemented by startups to address these challenges. Interviews with IT managers from Indonesian fintech startups reveal that while cloud computing offers scalability and cost-effectiveness, issues like compliance with local regulations and the protection of sensitive data remain major concerns. The research suggests that fintech startups should invest in both cloud infrastructure and advanced cybersecurity measures to protect their operations and customer data. Additionally, creating a comprehensive roadmap for regulatory compliance and fostering partnerships with cybersecurity firms will help mitigate risks and ensure long-term success. The findings highlight the importance of integrating cloud computing with effective security strategies to navigate the complex regulatory and security landscape of the fintech industry.