Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
SMART WASTE MANAGEMENT BASED ON ARTIFICIAL INTELIGENCE PADA SAMPAH DI BANYUWANGI : Smart Waste Management Based on Artificial Intelligence on Waste in Banyuwangi
The Banyuwangi government has problems with waste management, operational costs, and management facilities, the budget spent by the goverment is around 7 billion. Integrated Waste Disposal Sites and Landfills have 1 unit each. TPA should have 12 units and TPST 24 units based on Banyuwangi Regional Regulation. Based on the background, the researcher conducted a study on two systems in the management of waste and waste in Banyuwangi. First, Smart Waste Management (SWM) is based on Artificial Intelligence (AI). SWM integrates the Internet of Things (IoT) and AI for a waste monitoring platform in each sub-district. The algorithm consists of identification, automation, display, and Arduino Uno communication. The tools and materials used in this research include a shredderArduino Uno, GSM Module, etc, and several other electrical devices that support the operation of the system. Some of the support obtained from the local government and the environmental agency produced maximum results, where the smart technology system for waste and waste management designed by the UNIBA research team was maximized. Monitoring provides very accurate information about garbage and waste in Banyuwangi. With the monitoring system, the performance of waste officers will be maximized and efficient. In addition, the waste monitoring platform can be viewed on a smartphone. Based on the results of the above research, it can be concluded that waste in the Banyuwangi is only part of the area that uses Smart Waste and was successfully tested simultaneously. SWM provides information about garbage and waste in Banyuwangi very accurately.
SMART WASTE MANAGEMENT BASED ON ARTIFICIAL INTELIGENCE PADA SAMPAH DI BANYUWANGI : Smart Waste Management Based on Artificial Intelligence on Waste in Banyuwangi
The Banyuwangi government has problems with waste management, operational costs, and management facilities, the budget spent by the goverment is around 7 billion. Integrated Waste Disposal Sites and Landfills have 1 unit each. TPA should have 12 units and TPST 24 units based on Banyuwangi Regional Regulation. Based on the background, the researcher conducted a study on two systems in the management of waste and waste in Banyuwangi. First, Smart Waste Management (SWM) is based on Artificial Intelligence (AI). SWM integrates the Internet of Things (IoT) and AI for a waste monitoring platform in each sub-district. The algorithm consists of identification, automation, display, and Arduino Uno communication. The tools and materials used in this research include a shredderArduino Uno, GSM Module, etc, and several other electrical devices that support the operation of the system. Some of the support obtained from the local government and the environmental agency produced maximum results, where the smart technology system for waste and waste management designed by the UNIBA research team was maximized. Monitoring provides very accurate information about garbage and waste in Banyuwangi. With the monitoring system, the performance of waste officers will be maximized and efficient. In addition, the waste monitoring platform can be viewed on a smartphone. Based on the results of the above research, it can be concluded that waste in the Banyuwangi is only part of the area that uses Smart Waste and was successfully tested simultaneously. SWM provides information about garbage and waste in Banyuwangi very accurately.
SMART WASTE MANAGEMENT BASED ON ARTIFICIAL INTELIGENCE PADA SAMPAH DI BANYUWANGI : Smart Waste Management Based on Artificial Intelligence on Waste in Banyuwangi
30.03.2021
doi:10.36526/jipang.v3i1.2575
JURNAL TEKNOLOGI PANGAN DAN ILMU PERTANIAN (JIPANG); Vol. 3 No. 1 (2021): JURNAL TEKNOLOGI PANGAN DAN ILMU PERTANIAN (JIPANG); 31-34 ; 2686-004X
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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