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The rapid growth of the Internet of Things (IoT) has driven numerous innovations in wireless communications that not only demand technical efficiency but also raise philosophical questions about the nature of scientific knowledge. One such innovation is Physical Layer Network Coding (PLNC), a communication technique that utilizes signal interference as a source of information to enhance system performance. This paper examines the philosophical dimensions of science within PLNC, focusing on three fundamental aspects: ontology, epistemology, and axiology. Ontologically, PLNC represents a new paradigm in wireless communication that reinterprets interference not merely as noise but as an opportunity. Epistemologically, knowledge of PLNC is derived through scientific methods such as mathematical modeling, experimentation, and simulation—yielding intersubjective and verifiable truths. Axiologically, PLNC holds practical value in terms of energy efficiency, data reliability, and contributions to the sustainability of IoT ecosystems, while also raising ethical considerations regarding privacy and information security. Thus, this study demonstrates that the development of PLNC cannot be separated from philosophical reflection, emphasizing the profound interconnection between technological advancement, scientific methodology, and human values.

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.

Rapid technological developments have penetrated various aspects of human life, including data and information security. Amidst the threat of data leaks and misuse, information protection has become crucial. One solution to maintain data confidentiality is to implement cryptography technology. Cryptography is the study of techniques to secure messages so they cannot be read by unauthorized parties. This process is carried out by encoding the original message (plain text) into an unreadable form (cipher text), which can only be understood by those who possess the key to decrypt it. This study used the Caesar Cipher algorithm, a form of classical cryptography. This algorithm uses a substitution method, where each letter in the message is shifted by a certain amount based on a predetermined key. Caesar Cipher is a symmetric algorithm, meaning the key used for encryption is also used for decryption. The security of this algorithm lies in the secrecy of the key, which is known only to the sender and recipient of the message. This method is relatively simple, but still relevant for securing data with low to medium sensitivity levels. This study used WhatsApp messages as the object to be encrypted using the Caesar Cipher algorithm. The results show that encrypted messages become unintelligible without prior decryption. This demonstrates that the Caesar Cipher can protect messages from unauthorized parties. Therefore, implementing this algorithm can be an initial solution for maintaining data confidentiality in digital communications, especially on platforms vulnerable to eavesdropping or unauthorized access. Its primary benefit is maintaining message integrity and confidentiality to prevent misuse.  

Mail management is a crucial element of organizational administration that plays a direct role in ensuring information security. This article discusses how poorly organized mail systems can create vulnerabilities for various threats to sensitive information, such as leakage, forgery, and document loss. Using a literature review method, the study identifies key risks and analyzes optimization strategies that can be implemented. The findings indicate that adopting digital systems, enhancing human resource (HR) capacity, and implementing access controls and audit trails are strategic steps to safeguard confidentiality, integrity, and availability of documents. The implications highlight the importance of integrating mail management with information security principles to establish an administrative governance system that is secure, efficient, and trustworthy.

Information security is one of the key aspects of protecting information assets. Referring to the Regulation of the Ministry of Communication and Informatics No. 4 of 2016, Electronic System Providers (PSE) are required to implement information security to safeguard public interests, public services, state administration, and national defense and security. Therefore, the XYZ Regency Communication and Information Office, as an Electronic System Provider, needs to conduct an evaluation of its information security. This study aims to assess the level of information security at the XYZ Regency Communication and Information Office using the KAMI Index version 5.0 and to provide improvement recommendations in accordance with ISO/IEC 27001:2022 controls. The KAMI Index is used as a standard evaluation tool for assessing information security readiness based on the Regulation of the National Cyber and Crypto Agency (BSSN) No. 8 of 2021. The evaluation results show that the XYZ Regency Communication and Information Office obtained a final score of 248, with a readiness status of "Not Eligible" to meet the ISO/IEC 27001:2022 standard. The maturity level of information security is in the range of Level I to II. Improvement recommendations are provided based on questionnaire results that do not yet meet the ISO/IEC 27001:2022 standards. These recommendations serve as a reference for the XYZ Regency Communication and Information Office to align its information security governance with the ISO/IEC 27001:2022 standard.

Big Data Analytics has gained significant popularity in recent years, with many companies integrating it into their information technology roadmaps to enhance business performance. However, surveys indicate that Big Data Analytics demands substantial resources, including technology, costs, and talent, which often leads to failures in the initial stages of implementation. This study proposes a VGG6 architecture approach, intended to provide a framework for the initial implementation of Big Data Analytics. The study's outcomes include the implementation of the VGG6 architecture for processing images of aromatic plants using Python. Furthermore, this approach enabled the development of a Minimum Viable Product (MVP) solution that adheres to general Big Data principles, such as the 3Vs (Volume, Velocity, and Variety), and encompasses key technological components: 1) Data Storage and Analysis, 2) Knowledge Discovery and Computational Complexity, 3) Scalability and Data Visualization, and 4) Information Security.

This research discusses the application of User Interface (UI) and User Experience (UX) principles in the development of hospital information systems to improve the quality of health services. The research method used involved qualitative and quantitative approaches with data collection through observation, interviews, and surveys. The results showed significant improvements in user experience, measured through access speed, satisfaction levels, and reduced user error rates. Operational efficiency was also shown to improve, especially in terms of scheduling, patient monitoring, and staff information exchange. This study concludes that implementing UI/UX can have a positive impact on user experience and operational efficiency in the context of hospital systems. Therefore, hospital system developers are advised to consider UI/UX principles as an integral strategy in the development of health information systems, in order to improve the overall quality of healthcare services

The presence of artificial intelligence (AI) technology has revolutionized efforts to protect data in offices. The challenges organizations face in maintaining information security are becoming increasingly complex as technology advances, but the benefits of AI provide an effective solution to optimize information security. In this summary, we discuss the challenges and benefits of AI in office data protection, focusing on enhancing information security.The first challenge is the increasing complexity of cyber attacks. Attackers are constantly looking for new vulnerabilities and using more sophisticated attack techniques to breach security systems. Adequate data protection is needed to address this challenge and prevent unauthorized access to critical company information. Additionally, a lack of knowledge about managing and monitoring security systems is a major challenge for many businesses.However, the use of AI to protect office data offers several advantages. First, AI's ability to quickly and accurately detect security threats aids in early detection of cyber attacks. Predictive analysis supported by AI can also detect dangerous patterns and prevent attacks before they occur. Furthermore, using AI to automate security processes can optimize operational efficiency and accountability for events that occur. AI-based security can significantly reduce the risk of data breaches and cyber attacks.The use of AI technology in office data protection is not only a supportive tool but also an innovative and efficient solution to address increasingly complex challenges in information security. We hope this overview provides a deeper understanding of the challenges and benefits of AI in protecting office data, as well as efforts to optimize information security in this digital era.  

Information security and asset protection have become top priorities in the banking industry today. Bank JABAR (Jawa Barat), as one of the leading banks in the region, also recognizes the importance of effective security management. The objective of this research is to examine the implementation of vital objects, file security, and cyber security at Bank JABAR. This research uses a descriptive analysis method by studying the policies and practices implemented by Bank JABAR in information security. Data collection techniques include documentation study and interviews that cover security policies, guidelines, and procedures at Bank JABAR.  The results of this research indicate that Bank JABAR has implemented vital objects by identifying critical assets or information and giving them appropriate protection priority. File security is implemented through strict access policies, data encryption, regular data backup and recovery, as well as secure data disposal. Cyber security is carried out through firewall policies, intrusion detection systems, continuous network monitoring, and regular system security updates. In conclusion, Bank JABAR has taken important steps in the implementation of vital objects, file security, and cyber security. However, there is a need for ongoing efforts to enhance security awareness, involve more intensive training, and adopt a proactive approach to information security.