KLASIFIKASI KEMATANGAN TANDAN BUAH SEGAR (TBS) KELAPA SAWIT DENGAN BIO SPECKLE IMAGING MENGGUNAKAN METODE K-MEANS CLUSTERING

Simple item page
dc.contributor.authorFahlawi, Ahmad Reza
dc.contributor.authorSalambue, Roni
dc.date.accessioned2019-04-30T02:49:18Z
dc.date.available2019-04-30T02:49:18Z
dc.date.issued2019-04-30
dc.description.abstractThis study was focused to identify the ripeness level of oil palm Fresh Fruit Bunch (FFB) using image processing. Laser Speckle imaging (LSI) is used as an optical method to find out bio-speckle activity. Image acquisition was obtained by laser illuminating the fruit and the light beam of the fruit would be recorded. Digital image feature extraction produced an average value, standard deviation and contrast from image pixel. The contrast value was obtained from the comparison between the standard deviation and the mean value. Data would be classified using the k-means algorithm based on contrast value into 3 clusters that is unripe, ripe, and overripe. The results of the research had shown that in the second experiment with 90 sample data with various levels of ripeness it produces 71% accuracy, with 64 sample data identified correctly. In the third experiment with 64 sample data with relevant contrast values resulting 100% accuracy which means all data was identified correctlyen_US
dc.description.sponsorshipJURUSAN ILMU KOMPUTER FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM UNIVERSITAS RIAUen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/9672
dc.language.isoenen_US
dc.publisherwahyu sari yenien_US
dc.subjectclassificationen_US
dc.subjectoil palmen_US
dc.subjectk-meansen_US
dc.subjectripenessen_US
dc.titleKLASIFIKASI KEMATANGAN TANDAN BUAH SEGAR (TBS) KELAPA SAWIT DENGAN BIO SPECKLE IMAGING MENGGUNAKAN METODE K-MEANS CLUSTERINGen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
AHMAD REZA FAHLAWI.pdf
Size:
4.05 MB
Format:
Unknown data format
Description:
artikel
Download

Collections

Sistem Infomasi