Improving of Garbage Collection Management using the Internet of Thing

Duran Guerrero N.; Paccini Ventura Y.; Mansilla Lopez J.; Loza R. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2026) · DOI: 10.18687/laccei2026.1.1.1106

Resumen

This study presents an Internet of Things (IoT)-based solution to optimize waste collection management in a sector of the Comas district of Lima, Peru. The proposal integrates geolocation of the collection truck, proximity-based mobile notifications, and a home alert system using an ESP32 module, with the aim of synchronizing waste disposal with the truck's arrival time. To evaluate its effectiveness, a quasi-experimental design was applied, including field tests and surveys before and after the intervention. The results showed significant improvements in three dimensions. Operationally, the time waste accumulates on public roads was reduced by approximately 90% (from 12.5 minutes to 1.2 minutes). Informationally, knowledge of the truck's schedule increased from 30% to 95%, reducing uncertainty and improving neighborhood coordination. Experientially, increases in usability, satisfaction, and utility were observed (d ≥ 0.8), with adequate levels of reliability (α ≥ 0.78). The technical architecture, comprised of a mobile application, Firebase, Google Maps, and a home IoT module, proved viable and replicable in similar urban contexts. The findings confirm that IoT can improve waste collection and the user experience, providing evidence for future, larger-scale implementations.

Instituciones: Universidad Peruana de Ciencias Aplicadas