Smart Waste Management in IoT-Based Urban Waste Management in Surabaya City
Sunarto1, Tri Sulistyaningsih2, Umi Kulsum3

1Department of Civic Engineering, Faculty of Engineering, Universitas Muhammadiyah Malang
2Department of Government Studies, Faculty of Social and Political Sciences, Universitas Muhammadiyah Malang
3Department of Government Affairs and Public Administration, Universitas Muhammadiyah Yogyakarta


Abstract

The city of Surabaya as the most populous city in East Java will certainly have a waste problem that must be resolved every day, especially the problem of household waste generated by Surabaya residents every day. The average urban resident can produce around 0.64 kg of waste per day, where in Surabaya the amount of waste transported is around 75.6%. If the process of transporting waste is not handled properly it will cause accumulation of waste. The Smart Waste Management system is used to provide a waste management proposal starting from determining temporary waste disposal sites (TPS), garbage transport fleets to waste transportation scheduling. Optimization of waste handling is carried out in order to obtain efficiency and effectiveness in handling urban waste. This study aims to describe the smart waste management implemented in the city of Surabaya as part of an effort to control IoT-based waste. This study uses a type of qualitative research with the help of Nvivo 12 Plus software to analyze data obtained from secondary data sources. The success of implementing smart waste management is determined by the active role of the government, the community, and the Waste Bank which has been formed from the RT/RW level per region. The system created with the help of AI is to see the state of the trash can, which is then interpreted into information. The system will automatically record the type and amount of waste disposed of. Implications- This research is expected to be able to contribute to the implementation of waste management for the City Government of Surabaya and as evaluation material for local, provincial, NGO and community governments.

Keywords: smart waste management, urban solid waste, AI

Topic: Engineering

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