EVALUASI ARSITEKTUR CONVOLUTIONAL NEURAL NETWORK DALAM PENGENALAN BAHASA ISYARAT HIJAIAH INDONESIA BERBASIS CITRA

Subekti, Rif'aa Surososastro (2026) EVALUASI ARSITEKTUR CONVOLUTIONAL NEURAL NETWORK DALAM PENGENALAN BAHASA ISYARAT HIJAIAH INDONESIA BERBASIS CITRA. S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.

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Item Type: Thesis (S1 - Sarjana)
Contributor:
Pembimbing
Rumini, Rumini
Uncontrolled Keywords: Bahasa isyarat huruf hijaiah, CNN, Klasifikasi citra, EfficientNetB1, MobileNet V2, Hijaiyah sign language, Image classification.
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 > 004 Pemrosesan data dan ilmu komputer
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: RC Universitas AMIKOM Yogyakarta
Date Deposited: 15 Jul 2026 02:30
Last Modified: 15 Jul 2026 02:30
URI: http://eprints.amikom.ac.id/id/eprint/32143

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