Optimized Campus Navigation Using Mobile App: Network Analysis for Effective Route Planning

The scholarly article examines prevalent difficulties encountered by students in maneuvering through campus by proposing a solution grounded in network analysis. The investigation underscores the creation of a Route Planner mobile application, which utilizes Dijkstra's algorithm to facilitate optimized navigation and shortest-path routing. This methodology guarantees that students are provided with the most effective routes, thereby minimizing travel duration and reducing detours, thus enhancing their overall campus experience. The application was designed employing an Agile software development life cycle, which permitted adaptability and iterative enhancements informed by user feedback. Usability assessments were pivotal in refining the application's functionality and user interface, ensuring it addressed the practical requirements of students. The findings indicated that 70% of participants agreed that the Route Planner would be user-friendly. In addition to its technical execution, the Route Planner advocates for sustainable transportation practices on campus by promoting efficient route planning and minimizing resource wastage. The application also encourages inclusivity by facilitating more straightforward navigation for all students, particularly newcomers, fostering their confidence in traversing campus. This advancement exemplifies the potential of amalgamating network analysis with mobile navigation to devise practical, socially advantageous tools within academic settings. Ultimately, the research underscores the application's significance in enhancing campus exploration, augmenting usability, and contributing to the disciplines of computer networks and mobile navigation systems.