Pengembangan Aplikasi Asisten Pintar Pembuka Al Qur’an 30 Juz dengan Perintah Voice Command
Abstract
Many developers of digital Qur'an applications today still use tap to scrolling to run applications, although the features are interesting. This makes it less effective and efficient in opening the Qur'an. As is the case during the taklim assembly, some da'i are very interactive with jama'ah, asking to open certain surahs and verses so that there are some who have difficulty in searching. Therefore, the need for the Qur'anic application with voice command command to facilitate users. This research is the development of the Qur'an application with voice recognition feature. Using the waterfall method in development, voice command with google speech API as a voice command of surah and verse calling in the Qur'an application 30 juz. Conducted 10 randomized experiments with calls in the form of play or open surahs and certain verses give a 90% accuracy result. Commands can be given when online or offline. Then the use of google speech API can be very useful for use in the development of other applications.
Downloads
References
A. Fauzan, I. Arwani, and L. Fanani, “Pembangunan Aplikasi Iqro’ Berbasis Android Menggunakan Google Speech,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 1, pp. 29–35, 2018.
H. Nufus, N. Solekhah, M. Sarosa, and M. Zakaria, “Rancang Bangun Aplikasi Al Quran Digital Untuk Penyandang Disabilitas Tangan Berbasis Command Voice Pada Perangkat,” Proceeding SENDI_U, pp. 978–979, 2015, [Online]. Available: http://www.unisbank.ac.id/ojs/index.php/sendi_u/article/download/3359/965.
M. I. Krisnaldi, U. Wafiat, and F. Habibie, “Juz Amma Zaman Now . Aplikasi Penghafal Juz Amma ( Tahfidz Qur ’ an ) Berbasis Android Juz Amma Zaman Now . Application for memorizing Juz Amma ( Tahfidz Qur ’ an ) Android-based,” e-Proceeding Appl. Sci., vol. 4, no. 2, pp. 675–684, 2018.
R. Pratama, “Rancang Bangun Aplikasi Pemutar Lantunan Alquran Menggunakan Google Speech API,” J. SITECH Sist. Inf. dan Teknol., vol. 1, no. 2, pp. 133–138, 2019, doi: 10.24176/sitech.v1i2.2399.
K. Nugroho, “Javanese Gender Speech Recognition Based on Machine Learning Using Random Forest and Neural Network,” Sisforma, vol. 6, no. 2, p. 50, 2020, doi: 10.24167/sisforma.v6i2.2402.
K. Khairunizam, D. Danuri, and J. Jaroji, “Aplikasi Pemutar Musik Menggunakan Speech Recognition,” INOVTEK Polbeng - Seri Inform., vol. 2, no. 2, p. 97, 2017, doi: 10.35314/isi.v2i2.196.
F. Islami, G. I. Marthasari, and E. B. Cahyono, “Prototype Aplikasi Pencarian Informasi Ayat Al-Quran Berdasarkan Suara Bacaannya Berbasis Android,” J. Repos., vol. 2, no. 5, p. 561, 2020, doi: 10.22219/repositor.v2i5.564.
G. Wiro Sasmito, “Penerapan metode Waterfall pada desain sistem informasi geografis industri kabupaten Tegal,” J. Inform. Pengemb. IT, vol. 2, no. 1, pp. 6–12, 2017.
Y. Syafitri, “Analisa dan Perancangan Berbasis UML pada Sistem Informasi Simpan Pinjam Koperasi Swamitra Bandar Lampung,” J. Mater. Process. Technol., vol. 1, no. 1, pp. 1–8, 2018, [Online]. Available: http://dx.doi.org/10.1016/j.cirp.2016.06.001%0Ahttp://dx.doi.org/10.1016/j.powtec.2016.12.055%0Ahttps://doi.org/10.1016/j.ijfatigue.2019.02.006%0Ahttps://doi.org/10.1016/j.matlet.2019.04.024%0Ahttps://doi.org/10.1016/j.matlet.2019.127252%0Ahttp://dx.doi.o.
T. S. Jaya, “Pengujian Aplikasi dengan Metode Blackbox Testing Boundary Value Analysis,” J. Inform. J. Pengemb. IT, vol. 03, no. 02, pp. 45–48, 2018, doi: 10.30591/jpit.v3i1.647.
X. Lu, S. Li, and M. Fujimoto, “Automatic speech recognition,” SpringerBriefs Comput. Sci., pp. 21–38, 2020, doi: 10.1007/978-981-15-0595-9_2.
A. G. S. S. M.SI., “APLIKASI SPEECH RECOGNITION BAHASA INDONESIA BERBASIS ANDROID.” 2018, p. [Online], [Online]. Available: https://socs.binus.ac.id/2018/12/20/aplikasi-speech-recognition-bahasa-indonesia-berbasis-android/.
Rio Astamal, “GitHub - rioastamal_quran-json_ Holy Quran with translation and tafsir in Bahasa Indonesia, presented in JSON format.” 2021, [Online]. Available: https://github.com/rioastamal/quran-json.
M. Suhaidi, N. Nurhadi, and L. Latip, “Penerapan Framework Ionic Dalam Perancangan Aplikasi E-Concept Sebagai Alat Terukur Dalam Perekrutan Simpatisan Pemilukada,” Sebatik, vol. 24, no. 2, pp. 253–258, 2020, doi: 10.46984/sebatik.v24i2.1135.
A. R. Pratama, “Belajar Unified Modeling Language (UML) - Pengenalan,” Https://Www.Codepolitan.Com/, no. October 1995. p. 1, 2019, [Online]. Available: https://www.codepolitan.com/unified-modeling-language-uml.
E. K. Putra and F. Rahmayeni, “Implementasi Database MongoDB Untuk Sistem Informasi Bimbingan Konseling Berbasis Web (Studi Kasus: SMPN 1 Sawahlunto),” J. TeknoIf, vol. 4, no. 1, pp. 67–73, 2016, [Online]. Available: https://ejournal.itp.ac.id/index.php/tinformatika/article/viewFile/591/427.
L. S. Ramba, “Design Of A Voice Controlled Home Automation System Using Deep Learning Convolutional Neural Network (DL-CNN),” Telekontran J. Ilm. Telekomun. Kendali dan Elektron. Terap., vol. 8, no. 1, pp. 57–73, 2020, doi: 10.34010/telekontran.v8i1.3078.
Copyright (c) 2021 Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright in each article belongs to the author
- The author acknowledges that the RESTI Journal (System Engineering and Information Technology) is the first publisher to publish with a license Creative Commons Attribution 4.0 International License.
- Authors can enter writing separately, arrange the non-exclusive distribution of manuscripts that have been published in this journal into other versions (eg sent to the author's institutional repository, publication in a book, etc.), by acknowledging that the manuscript has been published for the first time in the RESTI (Rekayasa Sistem dan Teknologi Informasi) journal ;
