Ivan Seth Manuel, . (2020) KLASIFIKASI JENIS BUNGA ANGGREK MENGGUNAKAN METODE GREY LEVEL CO - OCCURRENCE MATRIX (GLCM) DAN NAIVE BAYES CLASSIFIER. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Based on the number of species and the resemblance of each type of orchids make the community and the power farmers are difficult to distinguish, classifications are still done in a manual way by looking directly and need a long time in the classification. The study used the Naïve Bayes algorithm in the classification process and the Grey Level Co – Occurrence Matrix method as an extraction feature. Using 3 types of orchid flowers as data objects with the amount of data 114 images taken using the camera. Based on the test results, get an accuracy value of 61.1%. This method is reasonably good in classifying, but due to the feature extraction that has been through edge detection preprocessing results in an adjacent value interval between classes so that the classifications of Bayes naïve less run optimally.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No. Panggil : 1610511073] [Pembimbing : Iin Ernawati] [Penguji 1 : Henki Bayu Seta] [Penguji 2 : I Wayan Widi P.] |
| Uncontrolled Keywords: | orchid flower, GLCM, classification Naïve Bayes |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Ivan Seth Manuel |
| Date Deposited: | 12 Jan 2022 04:57 |
| Last Modified: | 12 Jan 2022 04:57 |
| URI: | http://repository.upnvj.ac.id/id/eprint/7277 |
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