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.
Highlights
Many developers of digital Qur'an applications today still use tap to scrolling to run applications, the features are interesting
This research is the development of the Qur'an application with voice recognition feature
voice command with google speech Aplication Programming Interface (API) as a voice command of surah and verse calling in the Qur'an application 30 juz
Summary
Tahap ini menganalisis data input berupa file berformat json yang berisi data Al Qur’an dengan terjemahan dan Recognaton) Ionic versi 5.0 MongoDB tafsir yang diunduh untuk ditanam ke dalam database lokal pada aplikasi. Dalam hal ini setelah dilakukan penelitian dipilihlah dari github atas perbandingan dengan beberapa sumber lainnya[13]. Audio per ayat diambil dari website alquran.cloud yang diunduh untuk dimasukkan ke server. Pelantun Al Qur’an dibuat streaming yang diambil dari website mp3quran.net dan video pembelajaran tahsin dari channel youtube rumah tajwid. Untuk versi android sendiri minimal versi 4.3 (Jelly Bean) untuk penggunaan voice recognation Google API. Penggunaan ionic yang merupakan framework SDK open source untuk membangun aplikasi mobile yang berkualitas tinggi karena memanfaatkan AngularJS sebagai implementasi logikanya menjadi lebih cepat[14]. Dimana semua kode pemrograman aplikasi dibuat dari ionic yang kemudian dicompile lagi ke android studio untuk menjadi aplikasi berbasis android
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