The creative industry has become one of the most strategic sectors in global economic development, including in Indonesia. Hive Studio Agency, a digital creative startup, offers graphic design, website development, and digital solutions such as domain and hosting. Despite significant growth potential, the company faces challenges due to intense competition and a lack of an adaptive business model. This study analyzes the company's strategy using the Business Model Canvas (BMC) approach to identify key elements for improvement. Findings indicate that Hive Studio Agency can enhance competitiveness and sustainability by refining value propositions, optimizing customer relationships, and strengthening key partnerships. The research contributes to developing actionable strategies for Hive Studio Agency and provides insights for other startups in navigating the dynamic digital creative industry.

Traffic accidents are one of the leading causes of death worldwide, where drowsiness while driving is a significant factor that reduces driver alertness. This study develops a real-time driver drowsiness detection system using the Eye Aspect Ratio (EAR) method to avoid this. EAR calculates the ratio of the upper and lower eyelid distances to detect signs of drowsiness based on changes in eye shape. This system utilizes the OpenCV and Dlib libraries to identify faces and measure EAR, with a threshold of 0.25 as a warning trigger. If the EAR value drops below the threshold in several consecutive frames, the system automatically activates an alarm to increase driver alertness. With the advantages of cost efficiency and ease of implementation without additional hardware, this system is suitable for various types of vehicles. The results show that this system is effective in providing early warnings, thus helping to reduce the risk of accidents due to drowsiness.