dc.contributor.advisor | Muchtar, Muhammad Anggia | |
dc.contributor.advisor | Zendrato, Niskarto | |
dc.contributor.author | Manurung, Melly | |
dc.date.accessioned | 2024-02-13T04:07:59Z | |
dc.date.available | 2024-02-13T04:07:59Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/91134 | |
dc.description.abstract | Garbage always exists in our environment, which is a problem that always occurs due to the accumulation of waste in one place. So that it can produce various diseases that have an impact on society. With an advanced era, an effective way is needed to be able to notify the condition of full trash cans and trash cans that can inform the public about the types of waste so that the public is educated and also waste officers can do an efficient job of dealing with waste in various areas. The method used in this study is to visually detect the type of waste using Artificial Intelligent before the waste is disposed of along with detecting the condition of the waste with integrated sensors and each trash can where the location is recorded in the application to be built to make it easier for waste workers to do their job efficiently. | en_US |
dc.language.iso | id | en_US |
dc.publisher | Universitas Sumatera Utara | en_US |
dc.subject | Artificial Intelligent | en_US |
dc.subject | IoT | en_US |
dc.subject | Web Application | en_US |
dc.subject | SDGs | en_US |
dc.title | Prototype Tong Sampah Pintar Pendeteksi Sampah Organik dan Anorganik Berbasis IOT | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM171402128 | |
dc.identifier.nidn | NIDN0010018006 | |
dc.identifier.nidn | NIDN0119098902 | |
dc.identifier.kodeprodi | KODEPRODI59201#Teknologi Informasi | |
dc.description.pages | 52 Halaman | en_US |
dc.description.type | Skripsi Sarjana | en_US |