Show simple item record

dc.contributor.advisorMuchtar, Muhammad Anggia
dc.contributor.advisorZendrato, Niskarto
dc.contributor.authorManurung, Melly
dc.date.accessioned2024-02-13T04:07:59Z
dc.date.available2024-02-13T04:07:59Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/91134
dc.description.abstractGarbage 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.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectArtificial Intelligenten_US
dc.subjectIoTen_US
dc.subjectWeb Applicationen_US
dc.subjectSDGsen_US
dc.titlePrototype Tong Sampah Pintar Pendeteksi Sampah Organik dan Anorganik Berbasis IOTen_US
dc.typeThesisen_US
dc.identifier.nimNIM171402128
dc.identifier.nidnNIDN0010018006
dc.identifier.nidnNIDN0119098902
dc.identifier.kodeprodiKODEPRODI59201#Teknologi Informasi
dc.description.pages52 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record