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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.

In the era of artificial intelligence (AI), technology is growing rapidly and changing the way businesses are run. AI enables automation, big data analysis, and increased operational efficiency. However, this development also raises various ethical issues that companies need to pay attention to so as not to harm consumers, society, and the environment. This study explores the paradigm of artificial intelligence in the context of business ethics, focusing on its impacts, challenges, and potential benefits in the business world. This study uses a systematic literature review approach from various reputable sources. The article criteria include literature published from 2019 to 2024 with the theme of business ethics in the AI era, and other articles relevant to this study. Based on the search, 15 articles were determined that were relevant to the predetermined criteria. The results of the study found that in this study, AI is not only a technical tool to improve operational efficiency, but is also able to redefine business ethics in the modern era. AI offers great potential to overcome traditional ethical challenges and create new paradigms in business decision making. However, this opportunity is also accompanied by significant challenges, such as algorithmic bias, data privacy, and lack of regulation. This discussion will review the role of AI in business ethics, the benefits it brings, the challenges it faces, and the steps that can be taken to optimize the ethical use of AI.

This study aims to explore the potential application of artificial intelligence (AI) in financial accounting, especially in the financial reporting process. AI has the ability to improve efficiency, accuracy, and automation in financial data processing, as well as provide real-time information that supports strategic decision making. The research method used is a qualitative approach through literature studies and secondary data analysis from various relevant previous studies. The results of the study indicate that the application of AI in accounting can improve the efficiency and accuracy of the financial reporting process, while reducing human error. However, ethical and technical challenges such as data privacy and transparency in the use of AI are major concerns that must be addressed. The suggestions given in this study are the importance of improving the competence of accountants in the use of AI technology, implementing strict regulations to maintain data security and privacy, and continuous monitoring and evaluation of the use of AI in accounting. By utilizing AI optimally and responsibly, companies can gain great benefits in financial reporting while overcoming existing challenges.

DANA is one of the digital wallet service providersoperating in Indonesia since 2018. DANA isranked the third most frequently used digital wallet in Indonesia in 2022. This study aims to determine the effect of e-service quality on customer satisfaction in the DANA application by using the e-servqual dimension which consists of Efficiency, Fulfillment, Reliability, Privacy, Responsiveness, Compensation, and Contact, individually and also simultaneously on Customer Satisfaction of the DANA application. This research uses a quantitative approach that utilizes the survey method to collect data. This study uses an ordinal scale with a sample of 421 respondents with multiple linear regression methods and SPSS software, the results obtained partially the dimensions of Efficiency, Fulfillment, Privacy, Compensation, and Contact have a significant effect on customer satisfaction, while the dimensions of Reliability and Responsiveness do not have a significant effect. However, simultaneously the overall e-service quality has a significant influence on customer satisfaction of the DANA application.

The mass development of digital technology has changed the way companies communicate with consumers. One of the most effective communication channels is social media, which provides a platform for adress interaction between brands and consumers. Consumer trust is the main factor influencing purchasing decisions and brand loyalty. This articel used a qualitative approach to make a study various digital communication strategies that can build consumer trust in social media. Through social media, companies can implement various communication strategies, such as being transparent and honest in communication; active interaction with consumers; consistent in branding; consumer testimonials and reviews; compelling use of influencers; security and privacy of consumer data; and responsive to consumer problems and complaints.

Democracy education in the digital era is an important effort to strengthen democratic values and increase active participation in political life. In the digital era, information and communication technology has facilitated the quick and easy dissemination of information, thereby increasing citizens' ability to influence government policy. However, challenges such as disinformation and online polarization also arise, so collective efforts need to be made to strengthen digital democracy. Using digital technology wisely is also important. Increasing digital literacy so that people can identify fake news, understand social media algorithms, and protect online privacy is a significant first step. Strong regulation is also needed to ensure that algorithms and business practices do not support the spread of disinformation or exacerbate polarization. With good democratic education and smart use of digital technology, hopes are high that digital democracy can deepen democratic engagement, not reduce it. This article will discuss how democratic education can increase community participation and strengthen democratic values in the digital era.

In recent years, virtual assistants have become an integral part of everyday life, simplifying routine tasks and allowing users to focus on more important matters. This research aiming to design GiggleGate, a virtual desktop assistant integrated with both face and speech recognition technology to enhance authentication security. The objective is to develop an authentication system that not only verifies user identity but also provides a more intuitive experience and seamless interaction. The research employs a development methodology to create and implement the system, which integrates face recognition via OpenCV and speech recognition via a Python library. The findings indicate that the integration of these technologies enhances security and user experience by offering dual-factor authentication. The system is expected to contribute to more secure and accessible virtual assistant applications, offering both a practical and efficient solution for users. The implications of this study suggest that the combination of face and speech recognition can provide an effective means to protect user privacy and improve the overall functionality of desktop assistants.

The One Stop Service provided by the Indonesian Food and Drug Authority is designed to streamline the registration procedures for herbal medicines, cosmetics, and health supplements. This service is essential for improving efficiency, accessibility, and user satisfaction; however, empirical evaluations of user satisfaction remain limited. Previous studies highlight that service quality, communication, and responsiveness are key factors influencing satisfaction, but specific research on BPOM’s OSS is scarce. This study aims to evaluate user satisfaction levels, identify key determining factors, and provide recommendations for improving the service. A quantitative approach was employed, collecting data through questionnaires from participants who engaged in the service, both offline and online. The results indicate that most respondents were satisfied, particularly with processing time, ease of access, and staff responsiveness. However, areas requiring improvement include the development of digital features, more equitable service distribution, and enhanced transparency in communication. This study offers novelty by emphasizing the importance of a holistic approach that incorporates dimensions of communication, privacy, and inclusivity.

In today’s era, social media has become a driving force for increasing digital entrepreneurship. Businesses are utilizing social media sites such as Instagram, TikTok, LinkedIn, or even Facebook to brand their companies or products and interact with clients. This is great news for businesses, especially SMEs, to have low-cost access to key markets worldwide. One evident trend is the emergence of social commerce – business-to-consumer commerce without intermediaries, exclusive of other e-commerce models. However, the adoption of social media in digital entrepreneurship comes with several challenges, such as changes in algorithms that can affect content visibility and risks related to data security and user privacy. Nevertheless, social media remains useful in terms of analytics to support strategic decisions. This study shows the value of social media for entrepreneurship and technologies that help improve content personalization and consumer behavior analysis, such as artificial intelligence and big data. This study attempts to fill the gap in the literature by looking at the differences in the outcomes of social media use in developing and developed countries and the outcomes of new technologies on digital business ventures.

This research explores the role of the Constitutional Court (MK) in protecting citizenship rights in Indonesia. As a constitutional judicial body, the MK holds a crucial responsibility to review laws against the 1945 Constitution (UUD 1945), ensuring that fundamental rights of citizens, such as freedom of expression, the right to education, and the right to privacy, are not violated by existing legal policies. Through the mechanism of judicial review, the MK acts as a primary guardian capable of annulling laws that are in conflict with the constitution. This study examines various significant cases where the MK has played a critical role in safeguarding citizenship rights. We also identify various challenges faced by the MK, including issues in implementing rulings and potential political pressures that may affect the independence of this institution. From a global perspective, this research compares the role of the MK with constitutional bodies in other countries to provide a broader understanding of how the MK functions in an international context. The research employs doctrinal legal research, which is a process of discovering rules, principles, and doctrines to address the issues at hand. The research is prescriptive in nature. The methodology used is normative/doctrinal/library research. The findings indicate that although the MK has successfully protected citizens' rights through significant rulings, there remains an urgent need to improve the implementation of decisions and to safeguard the institution’s independence. Recommendations for enhancing the MK’s role include expanding legal education to the public, strengthening public access to judicial review mechanisms, and fostering closer collaboration with legal academics and practitioners. With these measures, the MK is expected to continue functioning effectively as a guardian of constitutional rights in Indonesia.

Artificial Intelligence (AI)plays a vital role in criminal investigations, offering innovative solutions to challenges faced by law enforcement. With its fast and accurate data analysis capabilities, AI can identify behavioral patterns, detect anomalies, and predict potential crimes. Technologies such as facial recognition, social network analysis, and natural language processing help speed up the investigation process and improve prosecution effectiveness. However, the application of AI also raises ethical challenges, including privacy issues and potential bias in algorithms. Therefore, it is important to develop a framework that ensures the responsible use of AI in a legal context.    

This paper explores the implications of digital surveillance on individual privacy rights, examining the balance between national security and personal freedom. By analyzing laws and regulations on digital monitoring across various countries, the study highlights the challenges and ethical concerns associated with widespread surveillance technologies. The findings emphasize the need for stronger legal frameworks to protect privacy without compromising security.

In this research, a semiotic analysis of the Apple commercial version of "Privacy on iPhone - Data Auction" is carried out using the Roland Barthes model. Also this research uses descriptive qualitative methods with data collection techniques of interviews and documentation studies. The purpose of this research is to find out the representation of personal data protection in the advertisement by analyzing the meaning of denotation, connotation and myth. The results of the analysis show that this advertisement clearly illustrates the risks that will occur to the personal data of smartphone owners and users if the data can be accessed easily by irresponsible parties. This commercial also proves the truth of the myth widely circulated in society that Apple devices are more secure than other brands. Apple wants to emphasize that they attach great importance to and care about the confidentiality and security of the personal data of Apple users. Therefore, Apple strives to provide security guarantees and personal data protection on its products so that Apple customers feel comfortable and confident that their data is safe.

Due to the quick advancement of digital technology, online purchasing and selling has become easier. Online transactions do, however, come with a number of drawbacks, including fraud, mismatches between products and their descriptions, and privacy violations. With reference to Law Number 8 of 1999 on Consumer Protection, the purpose of this study is to examine the legal safeguards that Indonesian consumers have when making purchases online. The study's results, which were obtained using a normative juridical research methodology with an emphasis on statutory regulatory analysis, indicate that while the Consumer Protection Law creates a basic legal framework, more oversight and regulations are necessary to ensure its greater efficacy when applied in the digital sphere.

Artificial Intelligence (AI) has increasingly become an integral component of modern education, offering significant opportunities to improve accessibility, efficiency, and personalized learning. This study explores students’ perceptions of AI in educational contexts, focusing not only on its practical benefits but also on ethical concerns, particularly regarding data privacy and social responsibility. Adopting a mixed-method design, the research collected data through surveys and classroom observations. The survey responses were analyzed using descriptive statistics to identify trends in perceptions, while observation notes were thematically coded to capture students’ real interactions with AI applications. The findings reveal that students generally exhibit a positive attitude toward AI, recognizing its potential to enhance learning experiences by making education more accessible and efficient. However, the study also highlights that concerns over data privacy and the potential misuse of information remain central issues. Moreover, a notable gap exists between students’ appreciation of the practical benefits of AI and their awareness of ethical dimensions such as algorithmic bias and digital responsibility. This imbalance suggests that while students are ready to embrace AI as a tool, they may not yet be adequately prepared to address the broader ethical implications of its use. The discussion situates these findings within the framework of digital ethics, emphasizing the need for education systems to integrate ethical literacy alongside technological skills. By doing so, schools and universities can ensure that students are both technologically competent and socially responsible. The study concludes that although AI is welcomed in educational settings, greater emphasis on digital ethics education is essential to maximize its benefits and minimize potential risks. This research provides a basis for future studies on policy development and ethical practices for AI in the classroom.

Digital health interventions hold promise for patient-centered care, as they enable remote monitoring of patients and can be used to easily remind patients to take their medications. This study used a literature review technique with research collecting 30 research publications related to the use, opportunities and challenges of digital health in the treatment of tuberculosis. The literature review technique aims to evaluate and analyze previous research to provide context, show gaps in research, and support arguments for the research to be conducted. Several conclusions from this literature review research include: (1) Digital health has a significant role as an intervention in the management of tuberculosis patients. (2) Digital health offers great opportunities to improve the management and treatment of tuberculosis patients. The opportunity for digital health as an intervention for tuberculosis patients is very promising and can have a significant impact on various aspects of managing this disease. (3) Although digital health offers many opportunities for managing tuberculosis, there are also various challenges that must be faced in its implementation, including: challenges of technology access, patient compliance and engagement, data security and privacy, integration with traditional health systems, costs and funding, quality content and information as well as cultural and language barriers.

The era of technological disruption has brought about significant changes across various sectors, including the legal sector. One of the most prominent developments is the use of artificial intelligence (AI) in the judicial system. AI can be utilized for a wide range of tasks, from analyzing legal documents to predicting case outcomes, and even acting as a legal assistant. This study employed a qualitative approach by analyzing various sources such as journals, documents, and relevant research findings. The results of the study indicate that while AI offers numerous benefits, its application in the judiciary also faces several challenges. One of the primary challenges is the issue of data bias. The performance of AI heavily relies on the quality of the data used to train it. If the data contains biases, the resulting AI will also be biased. Additionally, concerns about privacy and data security are significant issues that need to be addressed.

This journal focused on the juridical analysis of legal protection for the victims of Artificial Intelligence misuse based on Indonesia’s Law. In this context, AI misuse refers to the use of AI technology that harms an individual or group, physically, mentally, and financially. Firstly, this journal explored how Indonesia’s law protects the victims of AI misuse. Although Indonesia has developed some regulations and policies, the legal protection of the victims of AI misuse still has become a challenge. The existing laws did not cover the specific aspects of AI misuse, including data privacy, algorithm discrimination, and other social impacts. Secondly, this journal discussed the challenges and obstacles in implementing legal protection for the victims of AI misuse in Indonesia. Some vital challenges included the lack of a general understanding of AI, specific laws for AI, and the gaps between the technology advancement and the existing law. Moreover, another challenge came from the lack of an international law framework that regulates the use of AI. This journal suggested the need for regulation improvement, public education about AI, and international cooperation in regulating AI. Besides, further research is needed to understand the bad impact of AI misuse and how the law can be more effective in protecting the victims.

This research is motivated by a lack of knowledge about sexual education and gender issues in early childhood, especially elementary school (SD) students. Sexual education and gender issues are also topics that are currently still hotly discussed and continue to be an important concern in society. Many parents and local communities still consider sexual education to be taboo for young children, especially elementary school (SD) students. The aim of this research is to find out how to change students' views about gender through comprehensive sexual education, to find out sexual education learning methods, and to find out the role of teachers and parents in supporting the success of comprehensive sexual education. This research is based on literature study, namely a series of activities related to collecting library data, reading and taking notes, and processing research materials. The results of this research show that comprehensive sexual education can be a very important tool in changing elementary school students' views regarding gender by providing detailed and comprehensive information. Effective learning methods in teaching comprehensive sexual education are lecture, discussion and question and answer methods. The role of parents in supporting the success of comprehensive sexual education is that parents are ready to provide sexual education to their children, providing role models and guidance, accepting questions from children and providing appropriate responses, emphasizing always respecting privacy. Meanwhile, the role of teachers includes as instructor, guide, mediator and evaluator.