2022
DOI: 10.30872/jurti.v6i1.8006
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Rancang Bangun Aplikasi Hafalan Al-Quran dengan Google Speech API Berbasis Android

Abstract: Pembelajaran menghafal Al-Quran saat ini kebanyakan dilakukan dengan tatap muka di mana murid melafalkan hafalannya dan guru menyimak serta memberi tahu jika ada bacaan yang salah. Penelitian ini bertujuan untuk membantu user dalam menghafal Al-Quran yang dapat diakses secara mobile menggunakan teknologi speech recognition dengan cara memberi penilaian terhadap hafalan user. Pemrosesan suara menjadi teks menggunakan Google Speech API. Penggunaan data dalam penelitian ini yaitu  Surah Al-Bayyinah, Al-Maun, Al-L… Show more

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Cited by 2 publications
(3 citation statements)
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“…Research has done something similar [8] with test results obtaining an accuracy of 61.1% for appropriate readings and 38.9% for inappropriate readings. Other research [9] Several other studies utilize more renewable and more complex technologies such as machine learning and deep learning. As in research [1] which aims to recognize Al-Qur'an readers by using machine learning with the K-Nearest Neighbor (KNN) classifier algorithm and Artificial Neural Network (ANN) combined with Mel Frequency Cepstral Coefficients (MFCC).…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Research has done something similar [8] with test results obtaining an accuracy of 61.1% for appropriate readings and 38.9% for inappropriate readings. Other research [9] Several other studies utilize more renewable and more complex technologies such as machine learning and deep learning. As in research [1] which aims to recognize Al-Qur'an readers by using machine learning with the K-Nearest Neighbor (KNN) classifier algorithm and Artificial Neural Network (ANN) combined with Mel Frequency Cepstral Coefficients (MFCC).…”
Section: Related Workmentioning
confidence: 99%
“…Several studies that have been reviewed previously are the basis for this research. Researchers are aware of the research [7]- [9] still using the Google Speech API and not yet using an independently created machine learning model specifically for detecting Al-Qur'an reading. Apart from that, research [1], [10] succeeded in creating a model to recognize Al-Qur'an readers but was not designed for general Al-Qur'an reading.…”
Section: Related Workmentioning
confidence: 99%
“…Sistem aplikasi yang dibuat merupakan platform yang berjalan pada sistem operasi Android. Keputusan untuk merancang aplikasi berbasis Android didasarkan pada fakta bahwa jumlah pengguna smartphone dengan sistem operasi Android jauh lebih besar daripada platform lain di Indonesia, sehingga aplikasi ini dapat mencapai pangsa pasar yang lebih luas dan memiliki dampak yang lebih signifikan (Assisi et al, 2022). Sistem yang diajukan melibatkan pemanfaatan teknologi informasi, khususnya melalui pengenalan fitur alarm yang dapat diatur sesuai kebutuhan.…”
Section: Perancangan Sistem Analisa Sistem Yang Diusulkanunclassified