Rubbish Go: An Innovative Community-Based Platform for Digital Waste Management in Indonesia

Authors

  • Dwi Yulianti UPN Veteran Jawa Timur
  • Karina Catur Febriantika UPN Veteran Jawa Timur
  • Zikhaila Diva Priamita UPN Veteran Jawa Timur
  • Prasasti Karunia Farista Ananto UPN Veteran Jawa Timur

DOI:

https://doi.org/10.59934/jaiea.v5i1.1220

Keywords:

Behavior Change, Community-Based App, Digital Incentives, Environmental Education, Waste Management

Abstract

Waste management in Indonesia faces persistent issues such as limited infrastructure, low public awareness, and a lack of integrated community participation. This study presents Rubbish Go, a community-based digital solution designed to improve waste handling through technological support and behavioral engagement. The study applied an applied research approach that included product ideation, Minimum Viable Product (MVP) design, user validation, prototype development, usability testing, and the formulation of a Go-To-Market strategy. The resulting application integrates GPS-based waste reporting, a pickup scheduling module, environmental education, and a gamified reward system. Findings from user validation with multiple community segments indicated strong interest and usability, with high user satisfaction scores recorded during prototype testing. The implementation strategy prioritizes collaboration with educational institutions, local communities, and corporate social responsibility initiatives. This project demonstrates how combining crowdsourced data, digital incentives, and environmental education in a single platform can strengthen user participation and operational efficiency in urban waste management. Rubbish Go is positioned as an adaptive, scalable tool that supports sustainable waste practices through community-driven digital engagement.

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Published

2025-10-15

How to Cite

Dwi Yulianti, Karina Catur Febriantika, Zikhaila Diva Priamita, & Prasasti Karunia Farista Ananto. (2025). Rubbish Go: An Innovative Community-Based Platform for Digital Waste Management in Indonesia. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(1), 12–18. https://doi.org/10.59934/jaiea.v5i1.1220