May G. Yuga | Merlijoy M Jamero | Joy V. Santelices | Belen M Tapado
Discipline: Information Technology
This study developed a Smart Trash Station, an SMS-based monitoring system designed to automate trash-level detection and support data-driven solid waste management. Using ultrasonic sensors, load cells, and an Arduino-GSM communication setup, the system measures waste levels, classifies bin status, and generates real-time SMS alerts when bins reach full capacity. A web dashboard displays synchronized sensor readings, timestamps, and battery levels, enabling continuous monitoring. The system was developed using the Rapid Application Development (RAD) model and refined through iterative prototyping. Data logs collected during deployment showed clear waste-generation patterns and timely responses to SMS alerts, demonstrating the system’s ability to provide actionable insights for scheduling and resource allocation. Hardware and software evaluations based on ISO/IEC 25010 yielded a “Very Highly Acceptable” rating, confirming its reliability, usability, and operational suitability. The Smart Trash Station offers an efficient, scalable, and low-cost solution that strengthens institutional compliance with solid waste management requirements and enhances evidence-based waste collection processes.