NUR AZIZAH RAMADANA, 219280039 (2024) APLIKASI PENERJEMAH HURUF BRAILLE BERBASIS ANDROID. Other thesis, UNIVERSITAS MUHAMMADIYAH PAREPARE.
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Abstract
Abstract: Reading braille requires sensitivity of the hand, memorizing every combination of
dots that are formed. Getting to know Braille takes a relatively long time. The aim of this
research is to understand Braille letters using an Android-based smartphone.The research
method used is descriptive quantitative using the Java, Kotlin, Python programming languages,
and the Convolutional Neural Network (CNN) algorithm with the MobilenetV2 architectural
model. The results of testing the CNN algorithm with the MobilenetV2 architecture model have
an accuracy value of 0.9183. This shows that the application detection performance is less than
optimal.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Braille; Convolutional Neural Network; Android |
| Subjects: | Sains dan Teknologi |
| Divisions: | Fakultas Teknik > Teknik Informatika |
| Depositing User: | Rahmi R |
| Date Deposited: | 14 Oct 2026 03:24 |
| Last Modified: | 14 Oct 2026 03:24 |
| URI: | https://repository.umpar.ac.id/id/eprint/475 |
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