Muhamad Ardiansyah, . (2023) MENILAI KEMATANGAN BUAH ALPUKAT DENGAN METODE K-NEAREST NEIGHBOR DAN FITUR EKSTRAKSI TEKSTUR LOCAL BINARY PATTERN DENGAN AKURASI NILAI K TERBESAR. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The texture and appearance of avocados vary, sometimes it is difficult to determine whether an avocado can be considered ripe or not yet ripe. Apart from that, to determine the ripeness of an avocado, you also need to look carefully at the physical characteristics and texture of the avocado. Therefore, in this journal we will discuss and explain how to determine the ripeness level of an avocado so that it can be declared fit to eat using the KNearest Neighbor (KNN) and Local Binary Pattern (LBP) methods, by taking samples of avocado fruit images from the dataset and photographing them using cell phone camera. The data was then processed to make the classification process easier, then results were obtained with the best settings obtained from the trial, namely a score of 66.66% from 60 avocado image data.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No Panggil : 1910511084] [Pembimbing : Ermatita] [Penguji 1 : I Wayan Widi P] [Penguji 2 : Jayanta] |
| Uncontrolled Keywords: | Local Binary Pattern, K-Nearest Neighbor, Avocado, Ripeness |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Muhamad Ardiansyah |
| Date Deposited: | 22 Sep 2023 07:19 |
| Last Modified: | 22 Sep 2023 07:19 |
| URI: | http://repository.upnvj.ac.id/id/eprint/25187 |
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