Sound matching on the translation of Al-Quran ayat as a learning media for children using mobile-based fast fourier transform and divide conquer algorithm

• Published in: Journal of physics. Conference series Vol. 1402; no. 7; pp. 77060 - 77065
• Main Authors: Abdurrodjak, M, Mud'is, M H, Qodim, H, Khaerani, I F S R, Rosidin, U, Busro, B
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.12.2019
• Subjects: Algorithms; Conversion; Fast Fourier transformations; Fourier transforms; Machine learning; Matching; Mobile operating systems; Physics; Sound
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1402/7/077060

In this paper, a sound matching application was built on the pronunciation of Ayat Al-Quran as a learning medium for children using the Fast Fourier Transform (FFT) Algorithm and Divide Conquer (DC) that support learning independently. The system built in the final project is to utilize the Google API feature on android as voice matching. Furthermore, the incoming sound will convert into text form using the Google API. The conversion method used is a Fast Fourier Transform (FFT). The valuation method, Divide Conquer is used by calculating the sound proximity value of the Google API conversion results by matching Arabic text in the database. Based on the testing that has been done on the system testing. The results of the test found 61.1% accuracy for the appropriate reading and 38.9% for inappropriate reading.