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This research focuses on the application of predictive analytics in digital classrooms to track and predict student performance. The study aims to address the limitations of traditional teacher judgment, which often relies on limited data points and subjective assessments. The research proposes a machine learning-driven approach that utilizes data from Learning Management Systems (LMS), including student engagement, academic performance, and attendance, to predict student success or failure with greater accuracy. Various machine learning techniques, such as Support Vector Machine (SVM) and Random Forest (RF), are applied to develop a predictive model that can identify at-risk students early. The findings show that the model achieves an accuracy rate of over 85%, with key predictors including past academic performance and student engagement. This model outperforms traditional assessment methods by providing real-time, data-driven insights that enable timely interventions. The study concludes that predictive analytics has significant potential to enhance educational outcomes by offering personalized support and improving curriculum design. However, challenges such as data integration, fairness, and privacy concerns must be addressed for broader implementation.

This research explores the challenges leaders face in the rapidly evolving digital age and remote working. With the rapid adoption of digital technologies and the shift towards remote working, organizations face the challenge of ensuring ethical principles are maintained and effectively applied. This research aims to identify and develop ethical leadership practices that are relevant in a virtual context and provide practical guidance for handling ethical dilemmas in a digital environment. The research method used a post-qualitative approach with a diffractive design, which involved case studies, document analysis, and in-depth interviews with leaders from various organizations who successfully implemented ethical leadership in a remote context. The diffractive approach enabled an understanding of ethical leadership as a dynamic process that interacts with technology and social interactions. The results show that effective leaders in the digital age require adaptive communication, firm ethics policies, and a values-based approach to build and maintain team trust. The ethical leadership model found includes four key pillars: transparency of communication, integrity in decision-making, maintenance of data privacy, and continuous ethics training. In conclusion, ethical leadership in the digital world requires adjusting ethical values in virtual interactions. This research develops a moral leadership model that is responsive to digital complexity and provides practical guidance to improve ethical leadership in the digital age.

This article discusses the importance of innovation in management control systems in the digital era. During the pandemic, significant shifts occurred in business, education, and public services, pushing organizations to adopt new technologies such as artificial intelligence (AI) and cloud computing to enhance efficiency and competitiveness. The article also addresses challenges companies face in managing cybersecurity risks, data privacy, and the need for robust regulations to protect personal information. Additionally, digital technologies like e-learning play a crucial role in facilitating the learning and personal development process, especially during the pandemic. Collaboration between sectors and nations is key to addressing these global challenges.

Community service activities through an early education program on understanding body privacy were conducted by students during the Student Work Program (KKM) at SDN Muncung 1 on August 22, 2024. This program was designed to enhance students' understanding of the importance of maintaining body privacy. The teaching methods employed included lectures, Q&A sessions, discussions, and visual media. This study used a qualitative analysis approach with primary data obtained from photo documentation and secondary data from literature reviews. Survey results showed a significant increase in students' understanding after participating in the activity. The results of this socialization indicate that the interactive approach applied in this program successfully raised awareness about the importance of maintaining body privacy among students and was effective in conveying the material on understanding body privacy. The conclusion of this study emphasizes the importance of using diverse teaching methods and active engagement in learning to create better privacy awareness among students.

The rapid integration of Artificial Intelligence (AI) in education presents both opportunities and ethical challenges, especially for faith based institutions such as Christian schools. These institutions must balance technological innovation with their theological commitments. As AI becomes more embedded in educational environments, Christian educators face the challenge of integrating AI in a way that aligns with Christian values, human dignity, and relational teaching roles. This study explores how Christian moral teachings can guide the integration of AI into education, providing a framework for ethical AI use in Christian schools. Previous studies have highlighted the ethical concerns associated with AI, including algorithmic bias, data privacy, and the potential for AI to undermine relational teaching roles. Christian educational theology, which emphasizes values such as human dignity, justice, and fairness, offers a robust framework for addressing these concerns. A biblical worldview and the concept of Imago Dei (the image of God) provide theological foundations for integrating AI ethically in education, ensuring that AI tools enhance human centered learning rather than replace human educators. Additionally, literature suggests that ethical guidelines informed by Christian teachings can mitigate AI's ethical risks and promote a more inclusive and equitable educational environment. This study employs a mixed methods approach, combining qualitative and quantitative research methods. The qualitative phase involves document analysis and interviews with Christian educators and theologians to explore theological reflections on AI and its ethical implications.

The integration of blockchain technology and cryptocurrency within the framework of Islamic finance has raised significant ethical, legal, and regulatory concerns. Blockchain technology, known for its transparency, decentralization, and immutability, offers a promising solution for enhancing financial inclusion, transparency, and security in financial transactions. However, the use of cryptocurrencies, such as Bitcoin and Ethereum, introduces complexities due to their speculative nature, which may violate Sharia principles like gharar (excessive uncertainty) and riba (usury). This study explores the compatibility of blockchain and cryptocurrency with Sharia law, focusing on the challenges and opportunities that arise in the context of Islamic finance. The study analyzes existing fatwas (Islamic legal opinions), regulatory frameworks, and the application of Sharia principles to emerging financial technologies. It discusses the ethical dimensions of blockchain and cryptocurrency, such as their potential to promote fairness and transparency, while addressing concerns about privacy violations and the risks associated with unregulated trading. Furthermore, the research highlights the lack of standardized global regulations for cryptocurrency and blockchain, which complicates their adoption in Muslim-majority countries. The study also emphasizes the importance of establishing Sharia-compliant governance frameworks and regulatory standards to ensure the ethical use of these technologies. Finally, the study provides recommendations for further research in the intersection of Islamic law, digital finance, and global governance frameworks, focusing on the development of policies that ensure Sharia-compliant digital assets and technologies.

Digital innovation offers myriad advantages to companies but also entails risks necessitating mitigation. To safeguard against adverse impacts on both the company and its consumers, adherence to legal obligations is imperative. Privacy and security risks pose potential economic, ethical, or legal ramifications for consumers and companies alike. The duty to safeguard personal data is shared between governmental bodies and companies, with the latter assuming primary responsibility as service providers. Ethical business conduct entails the protection of user data and transparent disclosure of data usage to users. Companies also need to consider human, technological, and environmental aspects before developing new technologies. Therefore, awareness from companies is needed to fulfill their digital social responsibility. The latest regulation is Law Number 27 of 2022 concerning Personal Data Protection. Personal data protection is one of the main focuses of Corporate Digital Responsibility (CDR) or Corporate Digital Responsibility. The CDR concept is an evolution of Corporate Social Responsibility adapted to the digital era. In CDR, companies are expected to adopt practices that consider digital culture. It can be an effective strategy to integrate business and government interests in efforts to protect digital users.

This research aims to develop a network security system with AdGuard DNS on Debian Linux and control time-based internet access using the Microtik Routerboard. The main challenges are rising network security threats and the need for efficient internet access management in a variety of environments, including families,, education, and offices. The aim of this study is to improve network security and efficiency by blocking harmful content and advertisements, ining user privacy, and regulating internet access at a specific time. Technologies used include DNS AdGuard on Debian Linux to strengthen protection against network security threats and RouterOS Microtik devices to manage internet access based on time. These technologies include content filtering features, network traffic distribution (load balancing), and the ability to block unwanted sites to enhance network performance. Research results show that the combination of AdGuard DNS and   Microtik Routerboard is an effective solution to enhance network security and efficiency. The system is capable of blocking harmful content and advertising, improving user privacy, and adjusting internet access as needed, thus creating a more secure, controlled, and optimal network.

The Indonesian state is a state based on law (rechstaats) not a state based on force or arbitrariness. Therefore, everything related to state activities from an economic, political, social and cultural perspective will be regulated by law. This research uses an empirical juridical research method using qualitative techniques and the approach method used in this research is a statutory approach and a conceptual approach using literature studies and interviews. The promulgation of the Job Creation Law and Government Regulation Number 8 of 2021 concerning the Authorized Capital of Companies and Registration of Establishment, Changes and Dissolution of Companies which have requirements for UMK are currently known, namely that an Individual Company can be established by 1 person. Obstacles: Individual companies must comply with complex regulations related to data privacy, consumer protection and taxes in the digital era. Solution: Have a strong understanding of applicable regulations and ensure internal systems and processes comply with required compliance standards. Regularly update policies and procedures to ensure ongoing compliance.

This community service activity aims to improve public understanding of health data protection policies in digital health services. The rapid development of digital health platforms has increased the risk of misuse and leakage of personal health data. The method used includes educational outreach, interactive discussions, and evaluation of participants’ understanding before and after the activity. The results show a significant improvement in participants’ awareness and knowledge regarding the importance of protecting personal health data and understanding applicable regulations. This activity contributes to strengthening digital literacy and encouraging safer use of digital health services. Participants also gained a deeper understanding of relevant laws and the potential consequences of data breaches. By empowering individuals with the necessary knowledge, the activity aims to mitigate the risks associated with digital health services, thus promoting a culture of privacy and security. This community service initiative highlights the vital role of education in fostering a safer digital environment for healthcare and safeguarding sensitive personal information from potential threats.

This study explores the significant role of digital trust and transparency in fostering customer loyalty in online banking services. As the financial sector increasingly shifts towards digital platforms, understanding the dynamics of customer retention becomes crucial for banking institutions. The research adopts a quantitative approach, using a survey questionnaire distributed to over 200 participants with experience in digital banking services. The findings reveal that both digital trust and transparency are pivotal in shaping customer loyalty. Specifically, digital transparency-in areas such as data security, privacy, and operational clarity-was found to have a stronger correlation with customer retention than trust alone. The study emphasizes that transparency not only boosts customer confidence but also strengthens long-term loyalty by reducing perceived risks and uncertainties. Additionally, the research highlights that customer engagement, driven by transparent communication and reliable services, plays a significant role in mediating the relationship between transparency and loyalty. The study further discusses the implications for banking institutions, suggesting that focusing on transparent practices, clear communication about security measures, and data usage can lead to enhanced customer satisfaction and long-term retention. Future research could investigate the impact of cultural differences on digital trust and transparency in banking, as well as explore the role of emerging technologies like blockchain in furthering transparency and trust in financial transactions.

Bridging the gap between theoretical knowledge and practical application remains challenging in big data education. Our paper proposes a platform where students actively participate in a role-based learning (RBL) exercise designed to simulate real-world big data projects. This RBL exercise assigns each student participant to a business analyst role tasked with eliciting requirements or a customer role that provides those big data requirements. We conducted RBL sessions for postgraduate and undergraduate students learning big data analytics/data warehousing. Through role-playing in a collaborative environment, students face challenges such as unclear objectives, data privacy concerns, and evolving requirements. We evaluated the effectiveness of RBL simulations through brainstorming sessions, which verified that the students achieved the learning outcomes through RBL exercises. We also collected students’ feedback through a survey and found the RBL experience helped us understand the big data requirement elicitation skills, highlighting the significance of communication and collaboration skills. Further, we have evaluated students through a final exam question, and identified that students who participated in the RBL exercise outperformed in the big data requirement elicitation question. In summary, our research demonstrates that this RBL approach offers a valuable learning experience by enabling students to directly experience the complexities of big data requirement elicitation and identify the future requirements or challenges that encourage them to acquire the required skills.

In the ever-changing digital world, strong security protocols are essential. As a vital line of defence against unwanted access, blockchain uses several verification techniques to boost security. This article investigates the use of blockchain technology to tackle privacy, security, and usability issues. By reducing the dangers associated with conventional centralised systems, blockchain's decentralised and immutable structure offers a secure platform for storing and verifying authentication credentials. This method increases user trust by using smart contracts to guarantee transparent and unchangeable authentication procedures. The suggested blockchain-based method strengthens security and enhances privacy by removing sources of failure and decreasing dependence on outside verification. Furthermore, user-centric design and expedited procedures improve the system's usability by making secure authentication more approachable and less obtrusive. This paper offers a thorough examination of the suggested system, stressing its benefits, possible drawbacks, and directions for future investigation. The results indicate that blockchain technology presents a viable solution to ensure that digital authentication frameworks combine privacy, security, and usability.

Marriage involves individual rights such as opinion, privacy and non-discrimination. Early marriage is the practice of marriage involving one or both partners who are still young, where both are still under the legal age or generally recognized age of adulthood. Early marriage can be influenced by various factors, namely social, economic, cultural and educational pressures. Family involvement, cultural norms, and gender inequality can also play an important role in the decision to marry early. Early marriage of minors creates a number of legal problems, which involve violations of children's rights and also gender inequality. The age for marriage must be completely mature, which is 19 years for men and 16 years for women. If both of them are still young, or you could say like young onions, their marriage will always be filled with problems. Both of them still have the same high level of ego, are still children and still only think for a few days. In Indonesia, Law no. 1 of 1974 concerning early marriage, namely the minimum age for marriage. Law no. 16 of 2019, regulates the second amendment to Law no. 1 of 1974 confirms that the minimum age limit is 19 years for men, and 16 years for women. A woman is someone who has reproductive organs which are related to the ability to give birth to children. Meanwhile, a man is someone who has reproductive organs that play a role in reproduction itself. In Indonesia, the case of early marriage is still a very serious and vulnerable issue. As reported by the KEMENKO PMK, it was stated that there were around 1.2 million cases of early marriage in Indonesia. Where, the proportion of women aged 20-24 years who were married before the age of 18 was 11.21% of the total number of children. This means that around 1 in 9 women aged 20-24 years were married as children. Meanwhile, around 1 in 100 men aged 20-24 years were married as children. Due to the large number of cases regarding underage marriage, the government's role must be agile and fast in dealing with important cases like this. The government must play a role in preventing how to prevent cases of underage marriage from increasing every year.    

The Industrial Internet of Things (IIoT) enhances the connectivity and efficiency of living lifestyles. However, it also comes with significant security vulnerabilities. Traditional authentication methods are often inadequate, leading to IIoT devices opened to security threats. This paper proposes a comprehensive security framework integrating blockchain, cryptographic techniques, smart contracts, and deep learning-based Intrusion Detection Systems (IDS) to tackle the mentioned issue. Blockchain ensures data integrity and prevents tampering through a decentralized ledger. A decentralized device identity management system enhances user verification, while secure communication protocols using Hash-based Message Authentication Codes (HMAC) safeguard data integrity. Smart contracts automate transactions, providing transparent, secure record-keeping without a central authority. The deep learning-based IDS, utilizing Contractive Sparse Autoencoder (CSAE) and Attention-Based Bidirectional Long Short-Term Memory (ABiLSTM) networks, effectively detects cyber threats. Evaluation metrics, including precision, recall, F1-score, and False Acceptance Rate (FAR), demonstrate high accuracy and low false alarm rates across datasets. This framework addresses the need for secure, efficient, and scalable authentication in IIoT, combining blockchain's security features with advanced cryptographic and anomaly detection techniques, offering robust defence against cyber threats.

The role of morality in public policy and law enforcement, especially in relation to human trafficking, is increasingly important in the digital era. This article discusses the complexity of these challenges and strategies to prevent human trafficking and protect personal data in Indonesia. A holistic approach is needed, with law enforcement paying attention to the dimensions of morality, integrity and moral courage in policy formulation. In a digital era filled with technological changes, public policy must be able to adapt to these developments while still maintaining strong moral principles. This demands a high degree of integrity from policymakers and law enforcers to not only comply with technical rules, but also ensure that their actions are driven by the desire to create a fair and safe environment for all individuals. The recommended strategies include increasing border patrols to prevent the entry of illegal immigrants, cross-border cooperation to cut off human trafficking routes, strengthening regulations related to personal data protection, and increasing public awareness about data privacy. It is hoped that cooperation between the government, institutions and society can overcome this challenge to safeguard human rights and national security.    

The Industrial Internet of Things (IIoT) has revolutionized industrial processes, offering automation and data-driven decision-making. However, this interconnectedness brings new security challenges, especially in crucial infrastructure sectors. Traditional security measures are inadequate, leading to the exploration of innovative solutions. Blockchain technology has emerged as a promising solution due to its decentralized and immutable nature. This paper proposes a Hybrid Blockchain-Based Authentication Mechanism for IIoT, combining Delegated Proof of Stake (DPoS) and Elliptic Curve Cryptography (ECC). The hybrid architecture utilizes public and private blockchains to ensure scalability, efficiency, and security. Lightweight consensus algorithms, DPoS, are incorporated to optimize performance, while ECC provides efficient cryptographic techniques suitable for IIoT environments. An interoperable framework facilitates seamless integration with existing infrastructure, ensuring regulatory compliance and compatibility. Decentralized identity management further enhances security and privacy. Results and analysis demonstrate the effectiveness of the proposed solution, positioning hybrid blockchain architecture as the most suitable approach for enhancing security in IIoT environments.

Satisfying excellent service will definitely have an impact on achieving a standard value of satisfaction for patients or service recipients. Patient satisfaction is the best assessment of the description of the diversity of service quality received by patients. This research was conducted with the aim of knowing the relationship between service quality and patient satisfaction at the general polyclinic at the Mamburungan Health Center, Tarakan City, by applying the RATER concept, namely responsiveness, assurance, tangible, empathy, and reliability. This research is descriptive quantitative using the Cross Sectional Study method conducted on 165 respondents, using a questionnaire, with the result that the quality of service is good, and patient satisfaction at the Mamburungan Health Center is satisfied. The results of the data analysis test Rho Spearman's P value (Sig. (2-tailed) 0.00 and α 0.05 which proves that there is a significant relationship between service quality and patient satisfaction in the general polyclinic at the Mamburungan Health Center, Tarakan City. It is hoped that the Mamburungan Public Health Center can further improve quality services by creating separate examination rooms so that patient privacy can be better maintained, not combining multiple services so that patient privacy and comfort can be increased, and building cleanliness, service rooms, tidiness, and the appearance of officers so that they can be further improved so that maximum patient satisfaction can be achieved.  

This article examines the evolving landscape of digital privacy rights within civil law frameworks. With technological advancements outpacing regulatory measures, there is a growing need for robust legal standards to protect personal information. This study compares privacy regulations across several jurisdictions, assessing the efficacy of existing laws and identifying key challenges faced by policymakers. The article proposes a set of guidelines that could help harmonize digital privacy standards globally, ensuring individual rights are adequately protected in an increasingly interconnected world.

This research aims to analyze the changes in digital consumer behavior in the context of e-commerce business until 2024. Through a qualitative approach with a focus on literature studies, the analysis identifies factors that influence changes in digital consumer behavior, including increased online shopping activities, shifting purchasing preferences, the use of mobile devices, digital payment trends, data security and privacy, and the influence of social, cultural, and new technological factors. The analysis shows that consumers are increasingly demanding better user experience, flexibility in payment methods, and guaranteed data security and privacy. Meanwhile, new technologies such as artificial intelligence and collaboration with influencers also play an important role in influencing consumer behavior. Thus, the proposed suggestions include improving user experience, flexibility in payment methods, investment in new technologies, collaboration with influencers, and prioritizing data security and privacy. It is hoped that the results of this study can help e-commerce businesses to better understand the changes in digital consumer behavior and develop effective strategies in dealing with them.