Implementasi Sistem Penerjemahan Bahasa Isyarat dengan Metode Pengenalan Ucapan
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Jan 10, 2025
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The rapid development of technology certainly brings many benefits to the surrounding environment, several factors are helped by the advancement of technological tools, especially to help people with disabilities, currently people with disabilities, especially the mute, often have difficulty communicating, several factors affect the limited understanding of people with disabilities with the surrounding community, for example, the limited hearing of people with mute. With this background, a tool is needed that is able to translate Indonesian into sign language so that it can help people with disabilities and the community in communicating and living in society. This study uses the speech recognition method in its application, the results of the study reached an accuracy value of 80%.
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Mulyana, D. I., & Septiani, N. (2025). Implementasi Sistem Penerjemahan Bahasa Isyarat dengan Metode Pengenalan Ucapan. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 6(1), 346-355. https://doi.org/10.35870/jimik.v6i1.1194
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References
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Saputra, D. I. S., Handani, S. W., Indartono, K., & Wijanarko, A. (2020). SMART-in english: Learn english using speech recognition. Journal of Robotics and Control (JRC), 1(4), 109-113.
Setiawan, A., & Saputra, D. Y. (2023). SREDO: Media Pembelajaran Bahasa Inggris dengan Fitur Object Detection dan Speech Recognition. JIKA (Jurnal Informatika), 7(4), 371-378. http://dx.doi.org/10.31000/jika.v7i4.8385.
Wahyuni, S., Layuk, N. S., Loly, R. H., & Daud, A. N. (2021). Desain sistem speech recognition penerjemah bahasa toraja menggunakan hidden markov model. Jurnal Penelitian Pos dan Informatika, 11(2), 107-119.
Yunus, A., Yanti, N., & Lubis, Y. (2023). Computational Approaches to Phonology: Advances in Speech Recognition and Synthesis. Cendekiawan: Jurnal Pendidikan dan Studi Keislaman, 2(1), 219-224. https://doi.org/10.61253/cendekiawan.v2i1.160.
Aditya, R., Muid, A., & Ristian, U. (2020). Tempat sampah otomatis speech recognition menggunakan pocketsphinx. Inform. Mulawarman J. Ilm. Ilmu Komput, 15(1), 39-46.
Adnan, F., & Amelia, I. (2022). Implementasi Voice Recognition Berbasis Machine Learning. Edu Elektrika Journal, 11(1), 24-29.
Andriana, A., & Olly, O. (2016). Speech Recognition sebagai Fungsi Mouse untuk Membantu Pengguna Komputer dengan Keterbatasan Khusus. Prosiding Semnastek.
Anggraini, K., Van FC, L. L., & Darmayunata, Y. (2022). Speech recognition for English sentences with Malay accent. Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 13(2), 161-170. https://doi.org/10.31849/digitalzone.v13i2.10759.
Basit, A. A., & El Akbar, R. R. (2021). Implementasi Speech Recognition Menggunakan API IBM Watson. INNOVATICS: International Journal on Innovation in Research of Informatics, 3(1). https://doi.org/10.37058/innovatics.v3i1.3320.
Budiman, V. E., & Widjaja, A. (2020). Building acoustic and language model for continuous speech recognition in bahasa Indonesia. Jurnal Teknik Informatika dan Sistem Informasi, 6(2). https://doi.org/10.28932/jutisi.v6i2.2684.
Eridani, D., Sanusi, I., & Widianto, E. D. (2018). Pengenalan dan Analisis Ucapan pada Sistem Kontrol Perangkat Listrik Menggunakan Arduino Uno. Jurnal Teknologi dan Sistem Komputer, 6(1), 18-24. https://doi.org/10.14710/jtsiskom.6.1.2018.18-24.
Farizi, M. S., Somantri, S., & Yustiana, I. (2022). IMPLEMENTASI SPEECH RECOGNITION PADA SISTEM KENDALI PERANGKAT ELEKTRONIK RUMAH BERBASIS IoT (Internet Of Things) DAN MOBILE APPLICATION. ZONAsi: Jurnal Sistem Informasi, 4(2), 157-166. https://doi.org/10.31849/zn.v4i2.10662.
Firmansyah, B. A., & Bachtiar, F. A. (2021). Automatic Speech Recognition Bahasa Indonesia menggunakan Unidirectional Gated Recurrent Unit. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 5(12), 5180-5187.
Hadiatma, I., Nugroho, H. A., & Nugroho, E. (2018). Desain dan Implementasi Speech Recognition Sebagai Media Pembelajaran Pronunciation Bahasa Inggris. J. Teknol. Elektro, 9(1), 39-45.
Jaman, A. B., & Fergina, A. (2021). Implementasi Speech Recognition Berbasis Android Dalam Optimalisasi Komunikasi Bagi Penyandang Tunarungu. Jurnal Teknik Informatika UNIKA Santo Thomas, 373-378. https://doi.org/10.54367/jtiust.v6i2.1508.
Jollyta, D., Oktarina, D., & Johan, J. (2020). Tinjauan Kasus Model Speech Recognition: Hidden Markov Model. JEPIN (Jurnal Edukasi dan Penelitian Informatika), 6(2), 202-209. https://doi.org/10.26418/jp.v6i2.39231.
Mohidin, I. (2016). Analisis dan Perancangan Speech Recognition Translate Bahasa Inggris-Indonesia-Gorontalo Berbasis Android. Energy: Jurnal Ilmiah Ilmu-Ilmu Teknik, 6(1), 12-17.
Muhammad, M., Hidayat, S., & Amrullah, A. Z. (2019). Speech Recognition Untuk Aplikasi Kamus Bahasa Indonesia-Sumbawa Berbasis Android. Jurnal Bumigora Information Technology (BITe), 1(2), 126-137. https://doi.org/10.30812/bite.v1i2.606.
Mustikarini, W., Hidayat, R., & Bejo, A. (2019). Real-time indonesian language speech recognition with mfcc algorithms and python-based svm. IJITEE (International Journal of Information Technology and Electrical Engineering), 3(2), 55-60. https://doi.org/10.22146/ijitee.49426.
Nada, Q., Ridhuandi, C., Santoso, P., & Apriyanto, D. (2019). Speech recognition dengan hidden markov model untuk pengenalan dan pelafalan huruf hijaiyah. J. Al-Azhar Indones. Seri Sains dan Teknol, 5(1), 19-26.
Putra, M. M. I. (2020). Implementasi Speech Recognition pada Aplikasi Pembelajaran Bahasa Inggris untuk Anak. Jurnal Teknik Informatika, 15(4), 247-256. https://doi.org/10.35793/jti.v15i4.30426.
Sahni, U., Sidin, U. S., & Riska, M. (2020). Pengembangan perangkat speech recognition bagi penyandang bisu tuli sebagai sarana komunikasi. Jurnal MediaTIK, 48-52.
Salamun, S., Amin, K., Elvitaria, L., & Trisnawati, L. (2022). Artificial Intelligence Automatic Speech Recognition (ASR) untuk pencarian potongan ayat Al-Qu’ ran. Jurnal Komputer Terapan, 8(1), 36-45. https://doi.org/10.35143/jkt.v8i1.5299.
Saleh, A., & Jamazy, A. A. (2021). SPEECH RECOGNITION APPLICATION AS AN ANIMATED OBJECT MOVEMENT CONTROLLER SYSTEM. Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi, 1(1), 1-9. https://doi.org/10.20885/snati.v1i1.1.
Saputra, D. I. S., Handani, S. W., Indartono, K., & Wijanarko, A. (2020). SMART-in english: Learn english using speech recognition. Journal of Robotics and Control (JRC), 1(4), 109-113.
Setiawan, A., & Saputra, D. Y. (2023). SREDO: Media Pembelajaran Bahasa Inggris dengan Fitur Object Detection dan Speech Recognition. JIKA (Jurnal Informatika), 7(4), 371-378. http://dx.doi.org/10.31000/jika.v7i4.8385.
Wahyuni, S., Layuk, N. S., Loly, R. H., & Daud, A. N. (2021). Desain sistem speech recognition penerjemah bahasa toraja menggunakan hidden markov model. Jurnal Penelitian Pos dan Informatika, 11(2), 107-119.
Yunus, A., Yanti, N., & Lubis, Y. (2023). Computational Approaches to Phonology: Advances in Speech Recognition and Synthesis. Cendekiawan: Jurnal Pendidikan dan Studi Keislaman, 2(1), 219-224. https://doi.org/10.61253/cendekiawan.v2i1.160.