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The increasing number of mental health disorders in various countries has created an urgent need for innovation in the diagnosis and treatment process. This problem not only impacts individuals' quality of life but also creates a significant social and economic burden. One solution that is beginning to be widely researched is the use of artificial intelligence (AI) in the field of mental health. This research used a literature review of various previous studies discussing the role, application, and impact of AI. The results of the review indicate that AI technology, particularly in the form of digital applications such as chatbots, has great potential to support the recovery process for patients with mental disorders. AI-based chatbots can provide responsive, two-way interactions, so users feel heard and receive initial emotional support. One technical approach used is Natural Language Processing (NLP), which enables the system to understand natural human language. Simultaneously, Long Short-Term Memory (LSTM) algorithms are used to analyze language patterns and detect symptoms of depression more accurately. Various studies have reported that the application of NLP and LSTM can improve the reliability of diagnoses and provide responses tailored to user needs. Furthermore, AI can provide personalized recommendations, tailor interventions to the user's condition, and monitor mental health developments in real time. This has the potential to assist mental health practitioners in making faster and more informed decisions. However, the adoption of AI among practitioners remains relatively low. Influencing factors include limited technological understanding, limited infrastructure, and debates over ethical aspects and data privacy. Therefore, while AI has significant potential to improve the quality of mental health services, regulations, ethical guidelines, and synergy between technology and healthcare professionals are needed to ensure safe and effective implementation.

This study aims to deeply examine the role and impact of AI implementation in the B2B sales process, including implementation challenges. The method used is a qualitative approach with descriptive studies, through a literature review of scientific journals, industry reports, and relevant previous studies. The analysis results show that the application of AI in B2B sales not only improves the accuracy of marketing strategies and lead conversion, but also strengthens the concept of value co-creation through collaboration between salespeople and AI systems. Technologies such as machine learning, predictive analytics, and NLP-based chatbots have been proven to accelerate sales cycles, expand service reach, and increase productivity by up to 30%. However, implementation challenges remain, including limited digital infrastructure, a lack of competent human resources, and organizational resistance to technological transformation. Therefore, optimal AI integration requires institutional readiness, adaptive strategies, and continuous investment in technology and human resource development. These findings provide theoretical and practical contributions to the development of AI-based B2B sales strategies, particularly in the context of the digital industry in Indonesia. Furthermore, the application of AI in B2B sales also opens up new opportunities for service personalization. With the support of real-time data analysis, companies can better understand the specific preferences and needs of their business partners. This enables the development of more targeted communication strategies and the enhancement of long-term relationships with business customers. AI also plays a role in reducing human error through automated systems that can validate data, provide predictive recommendations, and support faster and more accurate strategic decision-making. Furthermore, the adoption of AI in B2B requires clear regulations and governance, particularly regarding ethical data use and information security. Companies must be able to balance the use of technology to increase efficiency with the protection of privacy and consumer rights.

Wireless Medical Sensor Networks (WMSNs) are a key component of modern Healthcare Internet of Things (IoT) systems, enabling continuous and real-time monitoring of patients’ physiological parameters. These networks support timely medical intervention, improve patient outcomes, and facilitate remote healthcare delivery. However, due to the open and resource-constrained nature of WMSNs, they are highly susceptible to various security threats, particularly during the authentication phase. Existing authentication protocols have been found vulnerable to a range of attacks, including impersonation, session key disclosure, and gateway database compromise, which can lead to severe privacy breaches and potentially life-threatening situations. To address these issues, this paper proposes a secure and lightweight three-factor authentication protocol tailored for WMSNs in healthcare IoT environments. The proposed protocol integrates Elliptic Curve Cryptography (ECC) for strong public key-based security with minimal computational overhead, fuzzy extractors to securely handle biometric information and ensure resistance against biometric template compromise, and session-based randomness to achieve forward secrecy and prevent replay or key-compromise impersonation attacks. Security analysis demonstrates that the proposed protocol successfully mitigates prominent threats such as impersonation attacks, man-in-the-middle attacks, session key leakage, and database compromise. In addition, the protocol ensures mutual authentication between the user, the gateway, and the sensor nodes, while maintaining data confidentiality and integrity. Performance evaluation indicates that the protocol offers significantly reduced computational cost and communication delay compared to existing schemes. Its low energy consumption and minimal storage requirements make it suitable for deployment in resource-constrained medical devices and large-scale IoT healthcare networks. The results highlight the protocol’s scalability, energy efficiency, and robustness, making it a practical and secure solution for safeguarding patient data and ensuring trustworthy communication in WMSNs-based healthcare IoT systems.

The rise of online loans (commonly known as pinjol) reflects the broader transformation of conventional financial systems into digital platforms, influenced heavily by the rapid development of financial technology (fintech). While online loans offer ease and accessibility, their implementation has raised significant legal concerns—particularly relating to the violation of privacy and the rights of third parties who are not directly involved in the loan agreement. One of the main legal issues occurs during the debt collection process, where third parties—often relatives, colleagues, or acquaintances of debtors—are subjected to intimidation, unlawful dissemination of personal data, and public defamation. These practices are not only unethical but also infringe on the privacy and dignity of uninvolved individuals. This article employs a legal research method using a normative approach. As a normative legal study, it analyzes laws, regulations, and legal literature relevant to the problem. The study finds that current legal regulations do not adequately protect third parties from the harmful practices associated with online loan collections. In response, there is a pressing need for regulatory reform. This includes strengthening personal data protection laws, enhancing supervision mechanisms over fintech companies, and ensuring that legal standards are consistently enforced. Reformulating these regulations will help address the legal vacuum and ensure greater legal certainty and protection for all individuals affected by online loan transactions. Through comprehensive policy changes and stronger enforcement, the negative impact of online loans can be mitigated, safeguarding both borrowers and uninvolved third parties.

The development of digital technology has brought about significant changes in the way humans communicate and live their daily lives. One important innovation is Artificial Intelligence (AI), one tangible manifestation of which is the chatbot as a virtual friend. This study aims to examine the role of chatbots as virtual friends through a literature review approach. The results of the study indicate that chatbots can serve as a potential, easily accessible tool for providing emotional support. Chatbots are able to create a safe space for users, especially Generation Z, to express themselves and overcome loneliness. However, the relationship between humans and chatbots is complex. Chatbots can mimic supportive responses, but as algorithmic systems, their ability to experience true empathy is very limited. Users' awareness that responses are coming from a machine also influences perceptions of trustworthiness and the quality of the interaction. On the other hand, the use of chatbots also raises serious ethical challenges, such as data privacy issues, the potential for over-dependence, and increased loneliness if chatbots are used as a substitute for real social interaction. Therefore, the development and use of chatbots as virtual friends must be carried out with a critical understanding and ethical approach. Technology design oriented towards humanitarian values is needed so that the presence of chatbots does not diminish the essence of human relationships but instead becomes a psychosocially beneficial complement.

The development of digital technology has had a significant impact on people's lives, including the protection of citizens' privacy rights. One key issue that has emerged is the management and protection of personal data, which is increasingly vulnerable to misuse. This study aims to examine and compare the personal data protection provisions stipulated in the 2024 Electronic Information and Transactions Law (ITE Law) and Law Number 27 of 2022 concerning Personal Data Protection (PDP Law). The research method used is a normative approach with comparative study techniques. The study focuses on the legal substance, scope of data protection, and institutional roles in implementing both regulations. The analysis shows that the ITE Law remains general in nature, lacking specific detailed regulations governing personal data protection mechanisms. Meanwhile, the PDP Law presents a more systematic and comprehensive specific regulation, referencing international principles such as the General Data Protection Regulation (GDPR) in the European Union. However, several implementation challenges exist, including overlapping authority between institutions, inconsistencies in legal norms, and limited adequate legal infrastructure. This situation has the potential to create regulatory dualism and complicate the law enforcement process. Therefore, steps are needed to harmonize the ITE Law and the PDP Law, strengthen the capacity of institutions responsible for data protection, and increase the digital literacy of the public so that citizens' digital rights can be optimally protected in the digital era.

Improvement amount Distributed Denial of Service (DDoS) attacks in cloud infrastructure and edge computing demands solution adaptive, distributed, and efficient detection in a way computing. Research This propose an optimized Federated Learning (FL) based DDoS detection model using Centroid Opposition-Based Bacterial Colony Optimization (COBCO) to training the Elman Neural Network (ENN). The proposed architecture consists of of two components Main: on the edge node side, a hybrid Convolutional Neural Network–Gated Recurrent Unit (CNN–GRU) model is used to extraction feature local from traffic data network, while on the server side, model parameters from each node are collected and used for training an optimized ENN with COBCO. Approach This aim increase accuracy detection at a time maintain efficiency local data communication and privacy. In progress experimental, model tested use three benchmark datasets: NSL-KDD, CICIDS2017, and CICDDoS2019. The preprocessing process includes feature encoding categorical, normalization numeric, class balancing using SMOTE, as well as validation cross (k-fold). Initial results show that combination of FL, CNN–GRU, and COBCO–ENN produces improvement significant in accuracy and time convergence compared to approach conventional such as PSO, GA, and non- federative models. In addition, the proposed model capable maintain performance detection tall although executed in edge environment with limitations source Power.  Study This give contribution important in development system scalable, privacy-preserving, and adaptive intelligent DDoS detection to dynamics Then cross modern network. Integration of FL and COBCO in ENN training shows potential big for used in implementation real in cloud-edge infrastructure. In addition, the proposed model demonstrates strong scalability and adaptability, making it highly suitable for dynamic and evolving network environments.

WhatsApp is one of the most widely used messaging platforms, offering fast and simple communication. Among its active users are students from Islamic boarding schools (santri), including those involved in micro, small, and medium enterprises (MSMEs). However, despite its convenience, many users lack awareness regarding digital safety and privacy, exposing them to cyber risks such as phishing, scams, and identity theft. In Nusukan, Surakarta, this issue is particularly relevant for santri who rely on WhatsApp for both academic and business communication. This community service initiative was conducted at Al-Mukminun Islamic Boarding School in Nusukan, Surakarta, with the aim of increasing awareness and understanding of safe WhatsApp usage among MSME santri. The program consisted of counseling sessions, which included lectures and interactive discussions tailored to the participants’ needs. Key topics included how to adjust privacy settings, identify suspicious links and messages, protect personal data, and recognize common cyber threats. Participants responded positively to the training. Feedback showed that 80% of them reported they would avoid clicking unknown links in messages. Another 80% stated they would refrain from sharing personal information with strangers. Furthermore, 80% expressed their commitment to regularly updating the WhatsApp application to ensure optimal security features are in place. This program successfully raised awareness and empowered santri with essential knowledge about digital communication safety. It highlights the importance of integrating communication psychology and practical digital literacy into community education to support secure online behavior for young entrepreneurs. Overall, this training shows that a contextual and applicable communication psychology approach is very effective in forming positive digital awareness and behavior in religious-based communities such as MSME students.

This study employs a normative juridical approach to examine the legal aspects of implementing financial technology (fintech) in healthcare financing in Indonesia. The rapid development of fintech offers potential solutions for addressing financial barriers in healthcare access. However, it also presents legal and regulatory challenges, particularly concerning consumer protection, data privacy, and institutional coordination. The analysis focuses on several key legal instruments, including Law No. 8 of 1999 on Consumer Protection, Law No. 11 of 2008 on Electronic Information and Transactions (ITE), Law No. 17 of 2023 on Health and its implementing regulation, Government Regulation No. 28 of 2024, and Law No. 27 of 2022 on Personal Data Protection. Additionally, regulations issued by the Financial Services Authority (OJK), which govern the operations of fintech companies in Indonesia, are also considered. The findings indicate that while there is a growing regulatory framework supporting fintech integration into the health sector, several gaps remain, particularly in terms of coordination between regulatory bodies and stakeholders in health and finance. The study identifies the need for comprehensive policy harmonization to ensure that fintech-based healthcare financing systems are secure, transparent, and inclusive. Furthermore, it emphasizes the importance of strengthening data protection mechanisms and enhancing regulatory oversight, especially for fintech services operating in partnership with healthcare providers. As fintech continues to reshape the landscape of healthcare financing, robust legal safeguards must be developed to mitigate potential risks and ensure equitable access to health services. The study concludes by recommending an integrated legal and institutional approach to support the safe and ethical implementation of fintech in Indonesia's healthcare sector.

The rapid expansion of Indonesia’s digital economy and the enactment of the Personal Data Protection Law (Law 27/2022) have exposed significant shortcomings in the resolution of data-related disputes under existing judicial and administrative frameworks. Public adjudication of sensitive data conflicts can erode trust, impose reputational damage, and delay reparative outcomes, while courts often lack specialized expertise in technology and privacy. Drawing upon international precedents including the European Data Protection Board’s Article 65 GDPR mechanism, the EU–US Data Privacy Framework arbitration annex, and the European Patent Office’s data-protection arbitration rules this study examines the urgency and feasibility of establishing a dedicated Data Dispute Arbitration Forum in Indonesia. Through comparative analysis, it identifies core design elements such as expert-appointed tribunals, streamlined online procedures, confidentiality safeguards, clear enforcement under the New York Con-vention, and mechanisms for restorative remedies beyond fines. Anchored in Pancasila’s social-justice ethos and Indonesia’s ADR law (Law 30/1999) and ITE Law, the proposed institutional architecture integrates online dispute resolution (ODR) protocols, data-minimization and cybersecurity guidelines, and publicly anonymized award publication to foster legal certainty and raise awareness of data-protection obligations. A stakeholder impact assessment demonstrates that such a forum would benefit individual data subjects through low-cost, expeditious relief; controllers and processors through predictability and trade-secret protection; regulators through expert findings; and foreign investors through alignment with global data-governance standards. By aligning domestic legal values with international best practices, the specialized forum promises to bolster enforcement, restore public trust, and strengthen Indonesia’s competitiveness in the global digital marketplace.

Indonesia's digital transformation has accelerated dramatically, creating unprecedented opportunities alongside significant cybersecurity challenges. This article examines the current state (das sein) and normative expectations (das sollen) of Indonesia's cybersecurity and data protection legal framework through a comprehensive normative legal analysis. The study reveals critical gaps in existing legislation, particularly the Information and Electronic Transactions Law (UU ITE). It evaluates the potential impact of emerging regulatory frameworks, including the Draft Law on Personal Data Protection (RUU PDP). Using normative legal research methodology, this analysis draws from statutory regulations, policy documents, and comparative legal studies to assess Indonesia's legal preparedness for evolving cyber threats. The findings indicate that while foundational legal instruments exist, significant normative reforms are required to address sophisticated cybercrime, protect individual privacy rights, and maintain national digital security. The research concludes with actionable recommendations for legislative enhancement, institutional strengthening, and public-private collaboration to establish a robust, adaptive cybersecurity legal regime that meets international standards while addressing Indonesia's unique socio-legal context.

Micro, Small, and Medium Enterprises (MSMEs) in Denpasar City have a strategic role in the regional economy, particularly through job creation and contributions to local income. Despite their potential, many MSMEs still encounter challenges in financial management, which can hinder their development and sustainability. The emergence of information technology offers solutions, including cloud-based accounting systems that provide convenience, efficiency, flexibility, and accessibility—features that are especially beneficial for small business actors. This study aims to explore the factors that influence MSMEs’ interest in adopting cloud accounting systems in Denpasar City. The research uses a quantitative method with a survey approach involving MSME actors who currently use or have the potential to use cloud accounting. The independent variables in this study include personal ability, perceived ease of use, perceived usefulness, and perceived data security risk, while the dependent variable is the interest in using cloud accounting systems. The data were analyzed using multiple linear regression to determine the effect of each factor on the dependent variable. The results show that personal ability, perceived ease of use, and perceived usefulness have a positive and significant influence on MSMEs’ interest in adopting cloud accounting systems. In contrast, perceived security risk has a negative and significant effect, indicating that concerns about data privacy and cyber threats may hinder the adoption of this technology. The findings of this study contribute to the understanding of technology acceptance among MSMEs and highlight the importance of strengthening digital competencies, improving user-friendly system design, and enhancing cybersecurity measures. These insights are expected to support government and developers in formulating appropriate strategies to accelerate digital transformation within the MSME sector, especially in the context of financial technology. The implementation of such strategies can improve business performance and competitiveness among MSMEs in Denpasar and beyond.

Advances in information technology-based financial services are beginning to follow suit, in the form of peer-to-peer lending, which provides easy access to loans without the need for conventional financial institutions. However, this convenience brings new challenges, particularly regarding the protection of users' personal data. Many platform providers access excessive amounts of sensitive information, such as contacts, photos, and other personal data, which can be misused to the detriment of borrowers. Therefore, this study aims to identify and analyze regulations related to personal data protection, particularly in the field of peer-to-peer lending services in Indonesia. It also analyzes the role of financial institutions, namely the Financial Services Authority (OJK), in addressing potential violations committed by platform providers. Using a normative legal approach, the study shows that despite the existence of these regulations, implementation in the field is suboptimal, particularly in terms of monitoring illegal platforms. Furthermore, challenges to oversight include limited resources and a lack of digital literacy among the public, which results in many users not fully understanding the risks of sharing their personal data. This study also highlights the importance of collaboration between the OJK, the Ministry of Communication and Information Technology, and law enforcement agencies to strengthen oversight mechanisms and take action against violations. In addition, extensive public education regarding personal data security is needed to encourage greater vigilance in using digital services. Personal data protection must be a top priority in the development of financial technology to prevent privacy violations. Strict regulations and effective sanctions are expected to provide a deterrent effect and create a healthy and equitable fintech ecosystem in Indonesia. This study also recommends that the government accelerate harmonization between the Personal Data Protection Law (PDP Law) and financial services sector regulations, particularly regarding service providers' transparency obligations in managing consumer data.  

In the rapidly evolving digital era, data breaches have emerged as a serious threat, particularly in the e-commerce sector which handles vast amounts of customers’ personal data. The protection of personal data has therefore become a crucial issue, requiring effective regulation to ensure digital privacy. In response to this growing concern, Indonesia enacted the Personal Data Protection Law (UU PDP) in 2022 as a significant step toward strengthening digital privacy and security. This study aims to evaluate the effectiveness of the 2022 PDP Law in addressing customer data breach incidents on e-commerce platforms in Indonesia. Using a qualitative approach and case study method, this research analyzes several high-profile data breach cases involving major e-commerce companies in the country. The findings indicate that, although the PDP Law has established a clear legal framework regarding the obligations of reporting and managing data breaches, its implementation still faces multiple challenges. Some companies have not fully complied with the legal timeframes for notifying users, and there is a general lack of transparency in how data breach incidents are managed. These shortcomings reveal a gap between the regulatory framework and practical enforcement in the field. Furthermore, the study highlights the limited public awareness and the insufficient preparedness of some companies in responding to data security incidents in accordance with the law. As a result, the rights of consumers to be informed and protected are not always upheld effectively. This research recommends stronger supervision by relevant authorities to ensure stricter enforcement of the PDP Law. It also underscores the need for ongoing education and intensive training for e-commerce companies to enhance their capacity to prevent, detect, and respond to data breaches in compliance with the legal standards. By reinforcing regulatory implementation and organizational readiness, Indonesia can better safeguard digital consumer rights in the growing e-commerce landscape.

The advent of ChatGPT, a generative AI technology, has initiated significant transformation within the finance sector by allowing users to engage with digital systems using natural language. Despite its promising capabilities, integrating ChatGPT into financial operations introduces a host of ethical concerns that must be rigorously addressed to ensure its appropriate and conscientious use. This policy-focused article begins with a brief overview of ChatGPT’s utility in financial contexts and then examines the ethical dilemmas it raises. These include biased decision-making outputs, the risk of misinformation influencing financial outcomes, data privacy and security vulnerabilities, opacity in algorithmic processes, the displacement of human workers, and complex legal implications. We argue that financial entities adopting ChatGPT have a responsibility to develop and implement comprehensive strategies aimed at mitigating these ethical risks. In support of this goal, we outline policy recommendations designed to directly address these pressing issues. Ultimately, this article emphasizes the urgent need for a robust ethical framework to guide the deployment of ChatGPT in financial environments, ensuring that its implementation benefits both individuals and society. Furthermore, we highlight key areas for future research that can support ongoing efforts to integrate AI responsibly in finance.

The digital era has brought significant changes in the way humans access, store, and share information. Amidst these technological advances, major challenges have emerged to the protection of individual privacy rights. Personal information is increasingly easy to collect and process by various parties, both by state institutions, technology companies, and individual users. On the other hand, the need for freedom of information is also increasing, especially in the context of transparency, public participation, and data openness. The balance between cybersecurity and freedom of information is a crucial issue that must be addressed comprehensively. This paper aims to examine the protection of privacy rights in the digital era by highlighting the tension between data security efforts and demands for information openness. The method used is a literature study with a qualitative approach. The results of the study show that privacy protection requires clear regulations, such as the Personal Data Protection Law in Indonesia, as well as public awareness in protecting personal data. On the other hand, freedom of information must still be maintained so that it is not misused to violate individual rights. Therefore, a balanced approach is needed between regulation, education, and technology to create a digital space that is safe, fair, and respects human rights.  

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

The advancement of artificial intelligence (AI) technology and social media has significantly influenced the dynamics of societal life, including women. Social media offers a space for the empowerment of women, but at the same time, it also presents various risks such as privacy violations, digital violence, and misuse of personal data. This community service activity aims to strengthen digital literacy among women, particularly in raising awareness of digital risks, protecting digital rights, and promoting safe and responsible social media use. The implementation methods of the activities include outreach in the form of workshops, discussion forums, and case simulations. The results of the activities indicate that there has been an increase in participants' knowledge about privacy in the digital world, forms of gender-based violence in the online realm, and strategies for preventing digital risks. This program is expected to serve as a model for empowering women through the enhancement of digital literacy in responding to the challenges of an increasingly digitalized era.

The Enterprise University Website is an academic platform for internship students and employees at PT Petrokimia Gresik. This study aims to measure user satisfaction with the Enterprise University website and identify priority improvements using the e-Servqual and IPA methods. The e-Servqual method is applied through seven dimensions: Efficiency, System Availability, Fulfillment, Privacy, Responsiveness, Compensation, and Contact. Based on these, service indicators that should be the main focus for improvement are determined using the Importance-Performance Analysis (IPA) method. This research is a quantitative study. The sample consists of 49 Merdeka internship students at PT Petrokimia Gresik who are also users of the Enterprise University website. The results show that based on e-Servqual calculations, the overall average gap between user perceptions and expectations is (-0.61). This indicates that the service quality of the Enterprise University website is still lacking and does not provide user satisfaction. Furthermore, data analysis using the IPA method, as shown in the Cartesian diagram, reveals that the top improvement priorities lie in three indicators located in Quadrant I. The findings of this study can serve as a basis for strategic decision-making by platform managers to optimize services and enhance user satisfaction in the academic processes at PT Petrokimia Gresik.

Adaptive environmental arrangements, particularly in elderly care facilities (PSTW - Panti Sosial Tresna Werdha, or Social Welfare Homes for the Elderly), need careful consideration due to the physical and cognitive decline experienced by elderly residents in their rooms. This issue indicates that suboptimal furniture arrangement in rooms can lead to a high incidence of risks such as falls, decreased comfort, and safety concerns. According to WHO data, falls are a leading cause of injury among the elderly. Therefore, a senior-friendly environment must be created, necessitating the identification and arrangement of furniture in elderly residents' rooms.Comfort is enhanced through the selection of ergonomic furniture and appropriate lighting levels. The safety of elderly individuals during mobilization is prioritized by eliminating hazards and ensuring obstacle-free pathways, supported by fall incident risk data and primary prevention principles. Increased provision of privacy and ensuring accessibility in emergencies aligns with crime prevention through environmental design practices.