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The development of information and communication technology in the digital era has a significant impact on the protection of personal data on social media. Rapid digitization not only facilitates data distribution and storage, but also increases the risk of cybercrime such as data theft, hacking, phishing and cyberbullying. This study aims to analyze effective prevention strategies in protecting personal information on social media. Using a qualitative approach through literature studies, questionnaires, as well as data analysis from trusted sources such as scientific journals and articles accessed through Google Scholar and Mendeley, this research found that users' awareness of personal data security is still low. The results show that many users have not implemented adequate preventive measures, such as changing passwords regularly or utilizing security features provided by social media platforms. Proposed prevention strategies include user education, strong password enforcement, account privacy settings, and increased awareness of cyber threats.

Digital society was born from the process of developing information technology which has formed a new world or new community, namely between the real world and the virtual world (cyber). The aim of this research is to discuss the importance of understanding the challenges and opportunities faced by society. In the use of digital technology, which is increasingly growing rapidly, marked by advances in information and communication technology, it is facing various significant challenges, including the digital divide, privacy and data security issues, as well as disruption of social values. Inequality in access to technology deepens social and economic disparities, while privacy and data security concerns raise concerns regarding the scope of personal information. But digital society also offers great opportunities, such as increased access to information that empowers individuals and groups, and the creation of virtual communities that support social solidarity and innovation. This research uses qualitative methods using data analysis through literature study. The qualitative approach was chosen because this research aims to obtain an understanding and explanation of the phenomenon of digital society with complex and varied challenges and opportunities from the perspective of the subjects involved. Data and information are obtained from various sources, including scientific journals, books, research reports, and online articles.

This study explores the integration of facial recognition and GPS technology to enhance attendance management systems in educational institutions. By employing a two-layer verification process that combines face validation and location validation, the proposed system addresses common challenges of traditional attendance methods, such as proxy attendance and inefficient data management. The system not only improves accuracy and security but also provides valuable insights into attendance patterns through location-based analytics. Despite its advantages, the research highlights the need to address challenges related to data privacy, security, and user acceptance for successful implementation. Overall, this study contributes to the development of modern attendance management solutions, demonstrating the potential for increased efficiency and effectiveness in educational environments.

The method applied in this study is Systematic Literature Review (SLR) and this work examines the pertinent literature between 2020 and 2024. The sources included here were Scopus, Web of Science, Google Scholar while using the following keywords; digital communication and profitability. The findings indicate that firms that engage in anticipatory digital media communication receive higher customer interactions of between 10-30% and continued patronage and sales. Furthermore, AI and big data help organizations tailor their communication strategies, maximize CLV and minimize operation expenditures. However, the study also revealed that digital skills’ dearth and organizational reluctance to embrace digital technology are a thorn for firms, particularly MSMEs, regarding the appropriate execution of digital communication strategies. Based on the findings of this study, the conclusion is that enhanced digital communication can enhance the profitability of the company as long as adequate technological platform and increased digitization of company’s employees are in place. As for the suggestions for future research, they include examining the effects of data privacy legislation on Digital Communications Planning and analyzing how manufacturing and, especially, financial service industries can leverage Digital Technology to create a sustainable competitive advantage.

The rise of mass surveillance technologies has raised significant concerns regarding digital privacy and human rights. This paper explores the legal implications of government surveillance programs and their impact on fundamental rights, such as freedom of expression and the right to privacy. Through a comparative analysis of data protection laws in different jurisdictions, this study assesses the balance between national security and individual rights in the digital age.

This article explores the application of Islamic ethics, particularly the concept of tawhid, in the development of digital technologies and artificial intelligence (AI). The study employs a qualitative descriptive method based on a literature review to analyze Islamic principles, such as justice (al-'adl), trust (amanah), and public benefit (al-maslahah), in addressing ethical challenges posed by AI. The findings indicate that Islamic values can provide a holistic framework for tackling algorithmic bias, privacy concerns, and social inequalities associated with AI. However, the study identifies a gap in academic research regarding the integration of tawhid principles with AI development. A limitation of this research is the lack of empirical case studies to test the effectiveness of implementing these principles in technology development.

With the advancement of technology and computing capabilities of computers, various applications and algorithms that were previously not applicable to portable devices such as laptops and smartphones can now be applied. Artificial intelligence (AI) is one of the increasingly popular techniques that are now a part of everyday life. AI is an umbrella term that refers to the simulation of human intelligence by machines that use big data to perform various tasks. AI has benefited many aspects of human life, including education. However, AI also has significant negative effects. This study aims to study the influence of artificial intelligence on students' critical thinking skills. This study uses qualitative research and literature analysis. However, the study also identified several negative impacts, including reliance on technology, unassured information quality, social isolation, and ethical and privacy concerns. Therefore, a balanced and strategic approach is needed in integrating AI in education to ensure that its benefits can be maximized, while its negative impact is minimized.

With technological innovation in the financial sector (Fintech), the development of digital technology has brought great changes to the financial industry. However, behind these advantages, there are challenges that need to be overcome, one of which is data security and user privacy which is a major issue that must be faced by the financial industry. This study aims to see how regulations help the digital transformation of Indonesia's financial industry (fintech). This study is a qualitative research, in accordance with the object of study, this type of research falls into the category of library research.Regulation of the financial technology (fintech) sector is borne by many parties, including the government, non-governmental organisations, and industry players. In Indonesia, institutions such as the Otoritas Jasa Keuangan (OJK) and Bank Indonesia (BI) are responsible for shaping fintech policies and regulations.Regulations serve as a strong foundation to drive digital transformation in the financial industry. Flexible and inventive regulations protect consumers and encourage profitable investments for industry players. A clear legal framework allows financial institutions to innovate and produce financial goods and services that better suit the needs of society.

The development of technology and the internet has changed the way humans communicate. One form of this development is the presence of social media. Social media has now facilitated fast and easy interaction. The increasing number of users also increases the potential for criminal acts of misuse of personal data. Misuse of personal data, especially on social media, requires comprehensive mitigation. This study aims to analyze efforts to overcome victims of criminal acts of misuse of personal data on social media, both through penal and non-penal channels. With a normative legal and empirical legal research approach through a study of laws and regulations and legal literature as well as interviews. This study uses a qualitative method. The results of the study show that penal efforts include collecting evidence, identifying perpetrators, and imposing sanctions in accordance with the Personal Data Protection Law. Meanwhile, non-penal efforts are carried out through public education, the establishment of personal data protection institutions, and monitoring social media activities. The main inhibiting factors in this mitigation are the lack of implementing regulations, limited technical capabilities of law enforcement officers, and minimal public awareness of the importance of personal data. This study concludes that synergy between penal and non-penal efforts is needed to protect individual privacy rights in the digital era

This study examines the role of Artificial Intelligence (AI) in marketing strategy through a Systematic Literature Review (SLR) approach. AI has shown a transformative impact by outperforming traditional methods, especially in optimizing big data-based marketing strategies. With the ability to analyze consumer behavior in depth, AI enables businesses to personalize marketing efforts and improve user experiences more efficiently and responsively. However, challenges such as data privacy, high initial investment, and reliance on data quality remain major concerns that must be addressed. This study also evaluates the effectiveness of using AI across marketing channels, which shows significant differences in their impact on business strategy. In addition, the integration of AI-based fitness equipment is considered to have a major contribution in increasing consumer satisfaction while driving online business growth. The results of this study provide valuable insights into the effective implementation of AI, as well as highlight the importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.

This study investigates the impact of public policy on social welfare, specifically through the lens of social assistance programs in the digital era. As technology continues to evolve, the implementation of social assistance programs has transformed, leading to new opportunities for enhancing service delivery and accessibility. This research employs a mixed-methods approach, combining quantitative data analysis with qualitative case studies to assess the effectiveness of these programs in improving social welfare outcomes. The findings reveal that while digital tools can enhance the reach and efficiency of social assistance initiatives, challenges such as digital divide and data privacy concerns must be addressed to ensure equitable access for all beneficiaries. Ultimately, this study underscores the importance of integrating technology into public policy frameworks to foster sustainable social welfare improvements in an increasingly digital world.

Computer intelligence, particularly Artificial Intelligence (AI), has become a cornerstone in advancing bioinformatics. This study aims to explore the role of AI in addressing the challenges of analyzing complex biological data, especially in genomics, proteomics, and metabolomics. Using machine learning (ML) and deep learning (DL) algorithms, AI efficiently processes large-scale data, accelerates genomic research, predicts protein structures, and identifies disease biomarkers. However, challenges such as data quality, computational limitations, and privacy issues remain barriers to its implementation. The findings of this study highlight the importance of continuous innovation, multidisciplinary collaboration, and strict regulations in AI applications. In conclusion, AI holds great potential to revolutionize bioinformatics, significantly impacting scientific research and the development of global healthcare systems.

This paper discusses the principle of bank secrecy as an important instrument in legal protection for customers, as well as its relevance in maintaining public trust in the banking sector in Indonesia. Based on the legal framework stipulated in Law Number 10 of 1998 concerning Banking and Law Number 4 of 2023 concerning the Development and Strengthening of the Financial Sector (PPSK), this study highlights the obligation of banks to protect customer data, including exceptional situations regulated by law. Normative legal research is used to analyze legal principles, laws and regulations, and related literature. The principle of bank secrecy is considered a pillar of customer trust and the main capital in the financial ecosystem. However, challenges arise when this principle conflicts with the interests of law enforcement, such as criminal investigations. The regulations strengthened by the PPSK Law provide a foundation for customer data protection while also regulating administrative and criminal sanctions for violations. On the other hand, the application of this principle also contributes to financial stability by increasing literacy and compliance with regulations. This paper recommends harmonization between the protection of customer privacy rights and the effectiveness of law enforcement to maintain the sustainability of trust in the banking sector.

Artificial intelligence (AI) is now an integral part of the digital transformation of various industries including the maritime sector. In the context of maritime law, AI has the potential to optimize various aspects ranging from maritime traffic management, Accident risk mitigation to monitoring international environmental maintenance. However, the application of AI also presents a variety of very complex challenges. This research highlights the legal, regulatory and ethical challenges that arise along with the application of AI in the maritime sector. Among them are the lack of clarity regarding legal responsibility for incidents involving autonomous ships, the lack of international standards governing the use of AI in operations maritime, as well as threats to data privacy and security from the use of increasingly sophisticated technology. Apart from these challenges, This research also discusses innovations that are already developing, such as the development of new legal frameworks for maritime AI, blockchain integration technology in the supply cycle chain as well as cross-border collaboration to developing regulatory standards that are cohesive and responsive to technological developments, this research concludes that to ensure the safe and responsible implementation of AI in the maritime sector, a multidisciplinary approach involving law, technology and international cooperation is needed, AI can be the main catalyst in creating a safer, more efficient and sustainable maritime ecosystem in the future.

The digital age has brought significant changes to human life, from the way we communicate to work patterns and access to information. However, these technological advances also pose major challenges to human dignity, including the threat of dehumanization, exploitation of personal data, and unequal access to technology.  This article uses a qualitative method with a descriptive-analytical approach through literature review and case study analysis. The article finds that the digital age has an ambivalent impact: on the one hand, it presents opportunities such as wider access to information, economic empowerment, and strengthening intercultural dialogue; on the other hand, it also exacerbates dehumanization, privacy violations, and the digital divide. Through the Redemptor Hominis framework, this article asserts the importance of placing human beings at the center of technological innovation, with the principles of solidarity and justice as ethical foundations.

Bioinformatics is an interdisciplinary field that combines biology, computer science and statistics to analyze biological data and translate it into effective therapies. With technological advances, such as next-generation genetic sequencing, bioinformatics enables the development of personalized therapies based on an individual's genetic profile. This approach provides more effective treatment and reduces the risk of side effects. In addition, the integration of artificial intelligence (AI) accelerates big data analysis, predicts therapy response and identifies disease biomarkers. Despite challenges such as the need for big data infrastructure and ethical privacy issues, the outlook for bioinformatics is bright. Through global collaboration and a multi-omics approach, bioinformatics is expected to become a key foundation in future medical therapy innovation.

This study examines the phenomenon of Central Bank Digital Currency (CBDC) as a technological innovation that changes the landscape of the global monetary system. In the midst of the rapid development of digital technology and cryptocurrencies, central banks in various countries are starting to consider and develop their own digital currencies. This study aims to comprehensively analyze the aspects of CBDC implementation, including its potential benefits, challenges, and impact on financial system stability and monetary policy. Through a descriptive qualitative approach with a literature study method, this study explores various dimensions of CBDC, including technological architecture, implementation models, and its socio-economic implications. The results of the study show that CBDCs have significant potential in improving the efficiency of the payment system, encouraging financial inclusion, and strengthening the transmission of monetary policy. However, its implementation also presents serious challenges related to data privacy, cybersecurity, and the stability of the banking system. This study makes an important contribution to a comprehensive understanding of CBDCs and their implications for the future of the global financial system.

This study examines the application of Immanuel Kant's ethical principles in the use of autonomous technology based on Artificial Intelligence (AI) in the academic domain. AI technology has significantly impacted academic efficiency and innovation but has also raised serious ethical challenges, such as algorithmic bias, dependency on technology, and threats to privacy and transparency. Using a Kantian ethical approach, this research identifies key issues and proposes an ethical framework that places justice, transparency, and respect for human dignity at the core of the design and implementation of autonomous technologies. The findings indicate that algorithmic bias can exacerbate academic inequities, while excessive reliance on AI risks diminishing the critical and creative capabilities of academics. Additionally, privacy and accountability in the management of academic data emerge as major concerns requiring ethically grounded policy interventions. This study also highlights the need for a new paradigm ensuring that autonomous technologies uphold humanistic values in academic settings, such as inclusivity, intellectual autonomy, and justice.

This study examines the legal implications of personal data misuse during the 2024 Jakarta gubernatorial election involving Dharma Pongrekun. The research highlights systemic challenges in safeguarding data privacy in Indonesia, particularly in electoral contexts. Employing a normative juridical method, the study focuses on the application of the Personal Data Protection Law (UU PDP) and its enforcement mechanisms. Findings reveal that unauthorized use of voter data, such as identity theft, poses a severe threat to electoral integrity and public trust. The lack of coordination among regulatory bodies, combined with insufficient public awareness, exacerbates the issue. The study emphasizes the urgent need for comprehensive reforms, including stricter law enforcement, increased institutional accountability, and improved technological infrastructure. Furthermore, the findings advocate for public education on the importance of data privacy, especially in democratic processes. These measures aim to bolster electoral transparency, protect individual rights, and ensure justice in cases of data misuse. The research provides a valuable contribution to discussions on data protection and electoral governance in Indonesia. Strengthening the enforcement of the UU PDP is crucial to addressing these challenges and fostering trust in both the legal system and democratic processes.

Artificial Intelligence in STEM education has gained attention because it has the potential to transform the learning and teaching process. The study aims to systematically analyze the application of AI technology in STEM education, focusing on the impact on student engagement, learning outcomes, and teaching methods. The study used the Systematic Literature Review (SLR) method with PRISMA guidance, Articles published in the last ten years, to ensure the selection process on the latest trends. The main findings show that AI-based tools, such as adaptive learning systems, intelligent tutoring systems, and automated assessment platforms, significantly enhance the personalized learning experience and encourage students' critical thinking skills in STEM learning. Challenges such as ethical considerations, data privacy issues, and the digital divide are still issues that need attention. Overall, the study shows that AI has a crucial role in STEM education in the future and recommends a strategic framework to overcome the challenges of AI implementation. The main findings of the article provide a basis for educators, policymakers, and researchers to develop and implement AI-based innovations effectively in STEM education.