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The Society 5.0 era demands that teachers adapt to technological advancements and the increasingly complex needs of society. Teachers are no longer just educators but also facilitators, mentors, and agents of change who can utilize technology in the learning process without abandoning human values. The teaching profession in this era emphasizes digital technology mastery, data literacy, creativity, and the development of students' character with a humanistic approach. This transformation aligns with the integration of technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and big data into social life. This study uses a descriptive qualitative approach through literature review to explain the core concepts of the teaching profession, required competencies, challenges faced, and strategies for implementing technology in education. Teachers in the Society 5.0 era must master four main competencies: pedagogical, personal, social, and professional, as outlined in national education policy. Major challenges include unequal access to technology, infrastructure readiness, and issues of digital ethics and security. Therefore, synergy between the government, educational institutions, and society is essential. Strategies such as project-based learning, the use of AI, and empathy-driven approaches are crucial to maintaining a balance between technological advancement and humanistic values in education.

The digital era has brought about a major transformation in the way organizations manage and utilize data. Data management is a key strategy in supporting decision-making based on accurate, fast, and relevant information. However, the rapid growth of data volume, diversity of sources, and complexity of data integration and security pose challenges in its management. These challenges include issues of data quality, inconsistency, duplication, and limitations in infrastructure and human resource capabilities. In addition, demands for compliance with regulations such as GDPR and the Personal Data Protection Act add to the complexity of ethical and responsible data management. On the other hand, technological developments such as big data analytics, artificial intelligence, the Internet of Things (IoT), and cloud computing present great opportunities to improve the efficiency and effectiveness of data management processes. Organizations that are able to adopt a data-driven approach and apply good data governance principles will gain competitive advantage, accelerate innovation, and improve customer satisfaction. This article comprehensively discusses the challenges and opportunities in data management from a data management perspective, and presents a framework for building an adaptive and sustainable data management strategy in the digital era. With a literature analysis and case study approach, this article aims to provide conceptual and practical contributions for organizations that want to optimize the potential of data as a strategic asset.

This research aims to design a web server-based heart rate monitoring system, which enables real-time heart rate monitoring from a remote location. The system utilizes a heart rate sensor connected to a microcontroller to measure and transmit heart rate data to a web server via an internet connection. The data obtained can be accessed directly by the user through a web-based interface, thus facilitating the monitoring of individual health conditions in an efficient manner. In addition, the system is equipped with a notification feature that alerts the user if any irregularities in the heart rate are detected, such as beating too fast or slow. As such, the system has the potential to increase alertness and speed up medical action if needed. The development of this system shows significant potential in supporting technology-based health applications, both for personal use and in a broader healthcare context. It is hoped that the system can contribute towards the development of more integrated and accessible health monitoring solutions.      

The rapid development of the Internet of Things (IoT) in Indonesia brings new challenges in personal data protection. This study aims to analyze the suitability of the legal framework in Indonesia in protecting personal data collected by IoT devices. This study identifies data collection and use practices, as well as uncovers existing legal loopholes. This study intends to conduct an in-depth analysis of the level of compliance with personal data protection laws in the context of IoT solutions. The normative legal research method with the library search technique is to search for journal or article materials related to the title and theme that the author is studying. Therefore, this study has a strategic goal to investigate the extent to which applicable regulations can be effectively implemented in the IoT ecosystem, with a special focus on security and privacy aspects that are the main pillars of personal data protection regulations. Based on these findings, this study provides policy recommendations to improve personal data protection in the IoT era, such as the need for a revision of the ITE Law, strengthening supervision by related institutions, or increasing public awareness.