Jakarta, INTI - Waste management in Indonesia increasingly demands a measured and sustainable approach. Policies are no longer solely reliant on education and behavior change campaigns.
This is due to the increasing volume of waste and the complexity of its management in urban areas. In this context, innovations based on data and system are beginning to enter the environmental governance discourse.
The Srikandi AI trash bin, developed by Nusabin, is one solution that has begun to be implemented. From 2025 to early 2026, this system received attention and appreciation from the government.
First Launched in 2025
Srikandi was first introduced at the Bandung Sustainability Summit 2025 at Institut Teknologi Bandung. At the forum, the Srikandi innovation was discussed as part of a governance transformation that prioritizes the integration of data, technology, and sustainability principles.
Unlike conventional approaches, the Srikandi AI trash bin is designed to operate directly at the point of disposal. The system is able to automatically recognize and classify inorganic waste based on material type and brand, while simultaneously recording data in real time through an integrated dashboard.
Data as Basis for Policy-Making
This approach opens up opportunities to utilize data as a basis for policy-making. Information on the volume, type, and pattern of waste generation can be used for area management planning, policy evaluation, and the development of more precise and evidence-based waste reduction strategies.
The development of the Srikandi system was initially aimed at supporting sustainable waste management. The principle of simplicity at the source of disposal was positioned as the foundation for widespread participation without burdening users with complex technical processes.
With its data-driven approach, this technology is seen as having the potential to support waste management policies that are more measurable, transparent, and adaptive to field dynamics.
Conclusion
Indonesia’s growing waste problem has pushed the need for more sustainable and data-driven management approaches beyond traditional education campaigns. One emerging solution is the Srikandi AI trash bin developed by Nusabin, which gained government attention after its introduction in 2025. The technology can automatically identify and classify inorganic waste while collecting real-time data through an integrated dashboard. This data is intended to support evidence-based policymaking, including waste reduction strategies, area management planning, and policy evaluation.
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