Qolis, Ekhsan Nur (2026) ANALISIS KOMPARATIF KINERJA ALGORITMA MULTI LAYER PERCEPTRON (MLP) DAN CONVOLUTIONAL NEURAL NETWORK (CNN) DENGAN EKSTRAKSI FITUR LANDMARK MEDIAPIPE UNTUK PENGENALAN BAHASA ISYARAT INDONESIA. S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.
![[img]](https://eprints.amikom.ac.id/style/images/fileicons/text.png) |
Text (COVER - ABSTRAK)
COVER.pdf - Published Version Download (709kB) |
|
Text (BAB I)
BAB I.pdf - Published Version Download (249kB) |
|
Text (BAB II)
BAB II.pdf - Published Version Restricted to Registered users only Download (1MB) |
|
Text (BAB III)
BAB III.pdf - Published Version Restricted to Registered users only Download (1MB) |
|
Text (BAB IV)
BAB IV.pdf - Published Version Restricted to Registered users only Download (1MB) |
|
Text (BAB V)
BAB V.pdf - Published Version Download (223kB) |
|
Text (DAFTAR PUSTAKA - LAMPIRAN)
Daftar Pustaka dan Lampiran.pdf - Published Version Restricted to Registered users only Download (215kB) |
![[img]](https://eprints.amikom.ac.id/style/images/fileicons/archive.png) |
Archive (SOURCE CODE)
Sourcecode - 21.11.4044.zip Restricted to Repository staff only Download (11MB) |
|
Text (PUBLIKASI)
Surat Pernyataan Publish di Luar.pdf - Published Version Restricted to Repository staff only Download (116kB) |
| Item Type: | Thesis (S1 - Sarjana) | ||
|---|---|---|---|
| Contributor: |
|
||
| Uncontrolled Keywords: | Machine Learning, Landmark MediaPipe, MLP, CNN, Bahasa Isyarat Indonesia, Indonesian Sign Language. | ||
| Subjects: | 000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 000 Ilmu komputer, informasi dan pekerjaan umum 000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 006 Metode komputer khusus 400 – Bahasa (Bahasa Indonesia dikelas 499) > 410 Linguistik > 419 Bahasa isyarat |
||
| Divisions: | Fakultas Ilmu Komputer > Informatika | ||
| Depositing User: | RC Universitas AMIKOM Yogyakarta | ||
| Date Deposited: | 23 Jul 2026 03:42 | ||
| Last Modified: | 23 Jul 2026 03:42 | ||
| URI: | http://eprints.amikom.ac.id/id/eprint/32334 |
Actions (login required)
 |
View Item |