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dc.contributor.advisorZendrato, Niskarto
dc.contributor.advisorElveny, Marischa
dc.contributor.authorKhairunnisa, Khairunnisa
dc.date.accessioned2025-07-22T08:16:55Z
dc.date.available2025-07-22T08:16:55Z
dc.date.issued2025
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/106200
dc.description.abstractIndonesia is one of the countries with a wide variety of plant species. The avocado is an important local fruit from Central America and Mexico that grows in most regions worldwide with tropical and subtropical climates, including Indonesia. Avocado plants first appeared in Indonesia in the 18th century, and one of the largest avocado-producing regions in Indonesia is Aceh. Avocados are one of the most sought-after foods in the world due to their high nutritional value. During the ripening process, avocados do not ripen on the tree and only ripen post-harvest, so they must be harvested in the appropriate physical condition to ensure good fruit quality for consumption. To assist the public, particularly consumers, in detecting the ripeness level of avocados and accurately determining their ripeness, a system has been developed to detect the ripeness level of avocados using the You Only Look Once method version 8. There are four categories detected in this study: unripe, half-ripe, ripe, and rotten. In this study, the total dataset used consists of 928 images, divided into two datasets : 742 training data and 186 testing data. The system can detect the ripeness level of avocados in real time. The method used achieves good accuracy, though not yet perfect, at 94,62%.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectReal-time Detectionen_US
dc.subjectAvocado Ripenessen_US
dc.subjectDigital Image Processingen_US
dc.subjectYOLOv8en_US
dc.titleDeteksi Tingkat Kematangan Buah Alpukat menggunakan Metode YOLOv8en_US
dc.title.alternativeDetection of Avocado Ripeness Levels using the YOLOv8 Methoden_US
dc.typeThesisen_US
dc.identifier.nimNIM181402037
dc.identifier.nidnNIDN0119098902
dc.identifier.nidnNIDN0127039001
dc.identifier.kodeprodiKODEPRODI59201#Teknologi Informasi
dc.description.pages72 Pagesen_US
dc.description.typeSkripsi Sarjanaen_US
dc.subject.sdgsSDGs 4. Quality Educationen_US


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