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dc.contributor.advisorHizriadi, Ainul
dc.contributor.advisorLubis, Fahrurrozi
dc.contributor.authorAkbar, Mujahid
dc.date.accessioned2024-02-07T03:09:36Z
dc.date.available2024-02-07T03:09:36Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/90999
dc.description.abstractThe utilization of computer vision technology applied in Android smartphones can assist humans in many ways. This technology enables computer to see and analyze object around its surroundings using image processing approaches. The You Only Look Once (YOLO) algorithm version 5 based on Android platform has been implemented in this research, which able to classify the different types of citrus fruit (makrut lime, kaffir lime, and lime) based on image processing of the citrus fruit's skin texture. The image used in this study consist of testing and training data in .jpg and .jpeg formats, captured using a 12MP resolution smartphone camera. The designed system follows the stages of image acquisition, image pre-processing, and image classification, organized in the form of code in the YOLO algorithm version 5. The accuracy rate of the system's real-time testing on an Android smartphone device reached 97.9%.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectClassificationen_US
dc.subjectcitrus fruit skin textureen_US
dc.subjectimage processingen_US
dc.subjectYOLOv5en_US
dc.subjectreal-timeen_US
dc.subjectSDGsen_US
dc.titleKlasifikasi Buah Jeruk secara Realtime Menggunakan Algoritma You Only Look Once V5 Berbasis Androiden_US
dc.typeThesisen_US
dc.identifier.nimNIM161402018
dc.identifier.nidnNIDN0127108502
dc.identifier.nidnNIDN0012108604
dc.identifier.kodeprodiKODEPRODI59201#Teknologi Informasi
dc.description.pages59 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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