In the rapidly evolving digital era, effective business models are crucial for sustaining competitiveness. This research explores the application of the Business Model Canvas (BMC) to TemplateKuy, a digital platform providing Notion and Spreadsheet templates. The study aims to identify how BMC's nine components—customer segments, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partnerships, and cost structures—can be optimized for business growth and sustainability. A qualitative descriptive method was employed, involving interviews, observations, and SWOT analysis to evaluate TemplateKuy’s strategic positioning. The findings reveal that BMC helps TemplateKuy create tailored strategies that align with market demands, improve operational efficiency, and increase value for its users. However, challenges such as resource limitations and market competition persist. These results offer valuable insights for similar businesses aiming to leverage BMC for strategic planning. The study emphasizes the importance of continuous innovation and customer feedback to maintain relevance in the dynamic digital 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.