ANALISA PENGARUH INTENSITAS CAHAYA RUANG TERHADAP KUALITAS GAMBAR PADA SISTEM DETEKSI TBS KELAPA SAWIT

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dc.contributor.authorPanjaitan, Deborah Margaretha
dc.contributor.supervisorMinarni, Minarni
dc.date.accessioned2022-03-15T03:54:54Z
dc.date.available2022-03-15T03:54:54Z
dc.date.issued2021-11
dc.description.abstractFFB (Fresh Fruit Bunches) of oil palm is one of the indonesian commodities that make it possible for Indonesia to be country of the largest CPO (Crude Palm Oil) export in the world. Automatic detection oil palm FFB is very important in the sorting and grading process. The detection of oil palm FFB can be based on color parameters. This study aims to design a program to detect oil palm FFB using a computer vision system with various of luminous. The system is equipped with a webcam, light source and software. This program also to record images, process images and classify them as detected oil palm FFB. Detector works based on the of the HSV value, especially in saturation. Output in this process is forms contour with a bounding box. The sample used in this study was 10 fruit FFB of tenera oil palm varieties. The FFB image of oil palm was recorded using a webcam at an angle of 90⁰. The results showed that the program's success in detecting oil palm FFB in this system depended on luminous of the room because of application in segmentaion color method Hue, Saturation, Value (HSV). The HSV program success in detecting 8 of 10 oil palm FFB with boundaries area contour more than 9000 pixels.en_US
dc.description.sponsorshipProgram S1 Fisika FMIPA-Universitas Riau Fakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10499
dc.language.isoenen_US
dc.publisherperpustakaan URen_US
dc.subjectDetectionen_US
dc.subjectLuminousen_US
dc.subjectComputer Visionen_US
dc.subjectHSVen_US
dc.subjectoil palm FFBen_US
dc.titleANALISA PENGARUH INTENSITAS CAHAYA RUANG TERHADAP KUALITAS GAMBAR PADA SISTEM DETEKSI TBS KELAPA SAWITen_US
dc.typeArticleen_US

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