The demand for stable Wi-Fi access continues to rise, but changes in room layouts often lead to degraded signal quality, necessitating efficient detection solutions. This research aims to develop an Android-based application for three-dimensional (3D) Wi-Fi signal mapping, leveraging smartphones as affordable devices to identify problematic areas. The software development employed the Agile methodology, with key features including 3D grid clustering, color-based visualization according to signal strength (-30 dBm to -100 dBm), and multi-SSID support. Evaluation was conducted in two stages: functional testing using the Black Box Testing method, and usability testing using the System Usability Scale (SUS) instrument. Evaluation results showed a usability score of 77.22 (categorized as "Good"), with 44.4% of users willing to recommend the application. This application proved effective for rapid mapping in various environments, particularly in multi-story buildings and for incidental events, offering advantages such as low cost, an intuitive interface, and comprehensive spatial visualization.
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