Rahmawati, Yunia Festy (2017) Klasifikasi Motif Batik Banyuwangi Menggunakan Metode K-Nearest Neighbour (K-NN). Diploma thesis, Politeknik Negeri Jember.
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Abstract
Batik From Banyuwangi has many kinds of motifs, but Indonesia people especially Banyuwangi people still don’t know much about it. They just try to make “Gajah Oling” batik more populer than others. The writer disagrees that’s why, the writer will try to use an applicationof digital description conductor to classify the variety of batiks from Banyuwangi. This research uses Banyuwangi Batik description analysis based on Red, Green, Blue ( RGB ) then is classified by using K-Nearest Neighbours ( KNN ) to classify Banyuwangi batik motif.
| Item Type: | Thesis (Diploma) | ||||||
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| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 457 - Teknik Komputer | ||||||
| Divisions: | Jurusan Teknologi Informasi > Prodi D3 Teknik Komputer > Tugas Akhir | ||||||
| Depositing User: | Usman Efendi | ||||||
| Date Deposited: | 26 Jan 2026 01:16 | ||||||
| Last Modified: | 26 Jan 2026 01:16 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/52335 |
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