Prasetia, Ridhwan Firdaus Nur (2025) PENGENALAN HURUF ALFABET DALAM BAHASA ISYARAT SECARA REAL TIME MENGGUNAKAN DEEP LEARNING. S1 thesis, Universitas PGRI Madiun.
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Abstract
According to data from the Disability Management Information System of the Ministry of Social Affairs in 2022, there were 13,807 individuals with hearing impairments and 5,590 individuals with speech impairments in Indonesia. Despite this significant number, they continue to face major challenges in communication, primarily due to the lack of effective and accessible sign language learning media. This study aims to develop a real-time alphabet recognition system in the Indonesian Sign System (SIBI) as an interactive and inclusive learning solution. The system utilizes MediaPipe for hand movement tracking via webcam and a deep learning algorithm based on Multilayer Perceptron (MLP) for letter classification, using a public dataset from the Kaggle platform. The development follows the Extreme Programming (XP) methodology and is supported by design tools such as Unified Modeling Language (UML) and flowcharts. The system is implemented as a web-based application that allows users to learn sign language letters directly through webcam input. The results show that the system can accurately and responsively recognize sign language letters. It is expected that this system can serve as a practical learning tool for basic sign language and contribute to the fields of education, technology, and social inclusion by supporting more equal and inclusive communication.
| Item Type: | Thesis/Skripsi/Tugas Akhir (S1) |
|---|---|
| Kata Kunci: | Sign Language, Indonesian Sign System (SIBI), Alphabet Recognition, Artificial Intelligence, Deep Learning, MediaPipe, Multilayer Perceptron (MLP), Extreme Programming (XP), Unified Modeling Language (UML), Flowchart, Hand Tracking. |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Teknik > Teknik Informatika |
| Depositing User: | NUR FIRDAUS RIDHWAN |
| Date Deposited: | 04 Aug 2025 06:45 |
| Last Modified: | 04 Aug 2025 06:45 |
| URI: | http://eprint.unipma.ac.id/id/eprint/3774 |
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