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This research aims to explore strategies for maximizing human capital in the context of advancing artificial intelligence (AI) technologies within the workforce. The study employs a phenomenological approach to understand individuals' experiences and perceptions regarding AI integration in the workplace. Through purposive sampling, data were gathered from a diverse pool of professionals across industries. Semi-structured interviews were conducted to delve into participants' perspectives on the impact of AI on job roles, skill requirements, and organizational dynamics. Thematic analysis was employed to identify recurring patterns and emergent themes within the qualitative data. Preliminary findings suggest a nuanced interplay between AI technologies and human capabilities, highlighting the need for upskilling, retraining, and fostering adaptability among employees. The study contributes to the discourse on optimizing human resources amidst rapid technological advancements, offering insights for organizational strategies to harness the synergy between human expertise and AI innovations in the future workforce.      

Emerging technologies play a crucial role in transforming education by fostering inclusivity and equity. This study explores how artificial intelligence, virtual reality, and adaptive learning platforms contribute to overcoming traditional barriers to education. The research adopts a qualitative approach, analyzing case studies and recent advancements in educational technology. Findings reveal that these technologies enhance accessibility for students with disabilities, provide personalized learning experiences, and bridge educational gaps in underprivileged regions. The study highlights the importance of policy support and infrastructure development to maximize the benefits of technological integration in education. The implications suggest that adopting emerging technologies can create a more inclusive and equitable learning environment, ensuring education for all.

The integration of Artificial Intelligence (AI) in education presents both challenges and opportunities for 21st-century learning. This study explores the transformative potential of AI in enhancing personalized learning, adaptive assessments, and intelligent tutoring systems. The research aims to identify the key barriers to AI adoption in educational settings, including ethical concerns, data privacy, and technological infrastructure. Utilizing a qualitative approach, data were collected through literature reviews and expert interviews. The findings indicate that while AI can significantly improve learning outcomes and administrative efficiency, its implementation requires strategic planning, teacher training, and regulatory frameworks. This study highlights the importance of balancing AI-driven innovation with ethical considerations to maximize its benefits in education.

Sustainable economic growth is one of the national development goals in Indonesia. Micro, Small, and Medium Enterprises (UMKM) play a crucial role in promoting sustainable economic growth; however, UMKM need to adapt to the developments in digital technology to compete and thrive in the market. The digitalpreneur community consists of UMKM practitioners who leverage digital technology to expand their businesses. This community can provide various benefits to its members, such as access to information and knowledge, business networks, and support for business development. This research employs a qualitative method with a case study approach. Data is gathered through in-depth interviews with informants. Based on the research findings, it is observed that the digitalpreneur community can contribute to sustainable economic growth in several ways, namely: 1) Enhancing the capacity and competitiveness of UMKM. 2) Improving market access. 3) Facilitating collaboration among UMKM.

Mainstream work activities that are generally carried out in rigid office spaces sometimes cause boredom for workers. Variations in ways and places of working need to be accommodated to avoid boredom. BeeHive Co-Working was built with the aim of providing a new place to work and socialize which is expected to provide enthusiasm in carrying out work activities. The design method applied is through a process that begins with the problem of how to create a flexible, relaxed, and unpressured work environment. The idea of Co-Working design is proposed to answer the initial problem. Green Architecture theme is proposed as the main theme of BeeHive Co-Working design. The concept of Green Architecture used in this design takes the main focus as a building that is energy efficient, minimizes expenses and increases the added value of the building. The position of the building in green architecture is related to (1) being able to adapt to solar circulation and wind direction, (2) extending from east to west, blocking solar radiation on transparent walls, (3) reducing heat transmission from massive walls exposed to direct solar radiation. The design of BeeHive Co-Working, which applies the concept of Green Architecture, is realized in the form of a modern design transformed from a rectangular mass form with a front view that uses an additional honeycomb-shaped facade. BeeHive Co-Working facilities that support the function of casual work are accommodated by the provision of furniture designed for the convenience of working while relaxing. The commercial function is supported by the provision of café shop facilities. This design is expected to be a place for workers to restore energy from the fatigue of busy work activities.