Alat Penerjemah Bahasa Isyarat Huruf Hijaiyah Menggunakan Sensor Fleksibel dan Mpu 6050 Berbasis Arduino
Abstract
In this era of development, communication is important to convey information to avoid misunderstandings. In several community groups, there are people with disabilities, especially speech impairments. People with speech impairments can only communicate using sign language in their daily lives. People with speech impairments learn the Hijaiyah letters as the basis for forming words and sentences in Arabic, guided by Arabic Sign Language. They use sign language to understand what each other says, whereas it would be difficult for normal people to understand. The method that the author used to create a Hijaiyah sign language translation tool was the experimental method and literature review. This translation tool is based on Arduino Nano with display results using a smartphone consisting of an Arduino Nano circuit equipped with a flexible sensor, MPU 6050 sensor, battery and application on the smartphone. For communication needs, a Bluetooth HC 05 series is used. The results of the Hijaiyah letter translator tool will be displayed on the smartphone application. From the experimental results of this research, an accuracy result of 91% was obtained
Downloads
References
Abdel-Fattah, M. A. (2005). Arabic sign language: A perspective. Journal of Deaf Studies and Deaf Education, 10(2), 212–221. https://doi.org/10.1093/deafed/eni007.
Abdullah, S. A. (2017). Rancang bangun sistem pengenalan bahasa isyarat untuk tuna wicara menggunakan sarung tangan berbasis mikrokontroler. Universitas Islam Negeri Alauddin Makassar. https://repositori.uin-alauddin.ac.id/3879/1/ST.AISYAHABDULLAH.pdf.
Adi. (2019). Bahasa Pemograman Arduino. https://www.bluino.com/2019/10/bahasa-pemrograman-arduino.html. (24 Maret 2022)
Adi, R. P. (2019). Fungsi Bahasa Isyarat Terhadap Kemudahan Akses Informasi Bagi Siswa Tunarungu. Perpustakaan SLB N 1 Bantul.
Aziz, M., & Nasution, Z. (2020). Metode Pembelajaran Baca Tulis Al Qur’an.Components101. (2018). Flex Sensor. https://components101.com/sensors/flex-sensor-working-circuit-datasheet. (6 Mei 2022)
Edo, A. (2016). Rancang bangun penerjemah bahasa isyarat abjad menggunakan sensor flex dan. Universitas Dinamika, 62. http://repository.dinamika.ac.id/id/eprint/2092/.
Front, A. N., & Rear, A. N. (n.d.). Arduino Nano Specifications : Datasheet Arduino Nano, 0, 1–10.Harris, G. A., & Kirk, W. D. (1993). The Foundations of Special Education. Selected Papers and Speeches of Samuel A. Kirk.https://login.ezproxy.net.ucf.edu/login?auth=shibb&url=http://search.ebscohost.com/login.aspx?direct=true&db=eric&AN=ED356577&site=eds-live&scope=site.
Hayani, S., Benaddy, M., El Meslouhi, O., & Kardouchi, M. (2019). Arab Sign language Recognition with Convolutional Neural Networks. Proceedings of 2019 International Conference of Computer Science and Renewable Energies, ICCSRE 2019, November. https://doi.org/10.1109/ICCSRE.2019.8807586.
Jastin, E., & Avivatul Munawaroh, S. (2021). Sarung Tangan Penerjemah Bahasa Isyarat (Sibi).
Palfreyman, N. (2016). Colour terms in Indonesian sign language varieties: A preliminary study. Semantic Fields in Sign Languages, January, 269–300. https://doi.org/10.1515/9781501503429-008.
Pokress, S. C., & Veiga, J. J. D. (2013). MIT App Inventor: Enabling Personal Mobile Computing. 0–2. http://arxiv.org/abs/1310.2830.
Prasetijo, A. B., Dias, M. Y., & Eridani, D. (2018). Rancang Bangun Alat Penerjemah ASL (American Sign Language) dengan Sensor Flex Berbasis Mikrokontroler ATmega2560. Jurnal Rekayasa Elektrika, 14(1), 75–82. https://doi.org/10.17529/jre.v14i1.9801.
Copyright (c) 2023 Dhofirul Yahya, Bayu Charisma Putra, Khairil Anam Anam, M. Farkhan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.