Alnino, Habibie (2022) Deteksi kemiripan irama Murottal Al-Qur'an menggunakan algoritma Fast Fourier Transform (FFT). Sarjana thesis, UIN Sunan Gunung Djati Banfung.
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Abstract
INDONESIA : Seni melantunkan ayat suci Al-Qur’an menggunakan alat rekam cukup efektif digunakan untuk pembelajaran secara otodidak. Untuk melakukan kesesuaian irama tak lebih menggunakan perhitungan data. Oleh karena itu perlu dilakukan perhitungan yang efektif agar mendapatkan kecocokan data irama pada qori, salah satunya adalah menggunakan algoritma Fast Fourier Transform (FFT) yang digunakan lebih efektif untuk mencocokan frekuensi suara rekaman. Data rekaman yang berisikan golombang suara dari deretan nilai waktu menggunakan file berekstensi .Wav, karena formasi cukup besar dengan perbandingan 1:10 dari formasi .Mp3 dilakukan beberapa proses komputasi. Dari 60 data yang digunakan pada rata-rata kapasitas 3000kb-6000kb dengan durasi 20s cukup dikerjakan pada kurung waktu kurang lebih 900s-1600s saja, hal ini cukup cepat dibandingkan dengan versi perhitungan fourier Transform sebelumnya. FFT diterapkan untuk berbagai bidang sinyal digital, adapun FFT merupakan pengembangan dari Fourier Transform sebelumnya, disebut Fast karna perhitungannya lebih cepat. ENGLISH : The art of chanting the holy verses of the Qur'an using recording tools is quite effectively used for self-taught learning. To carry out the suitability of the rhythm no more using data calculations. Therefore, it is necessary to make effective calculations in order to get a match of the rhythm data on the qori, one of which is to use the Fast Fourier Transform (FFT) algorithm which is used more effectively to match the frequency of the recording sound. Recorded data that contains a sound balance of a series of time values using an extension file. Wav, because the formation is quite large with a ratio of 1:10 from the formation . Mp3 performs several computational processes. Of the 60 data used at an average capacity of 3000kb-6000kb with a duration of 20s, it is enough to be done in time brackets of approximately 900s-1600s alone, this is quite fast compared to the previous fourier Transform calculation version. FFT is applied to various fields of digital signals, while FFT is a development of the previous Fourier Transform, called Fast because the calculation is faster.
| Item Type: | Thesis (Sarjana) |
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| Uncontrolled Keywords: | Al-Qur’an; FFT; Frekuensi; Murottal; wav; |
| Subjects: | Data Processing, Computer Science > Computer Science Education Data Processing, Computer Science > Computer and Human Data Processing, Computer Science > Interfacing and Communications Special Computer Methods > Digital Audio Special Computer Methods > Programming for Computer Graphics Al-Qur'an (Al Qur'an, Alquran, Quran) dan Ilmu yang Berkaitan > Musabaqah Tilawatil Qur'an, MTQ Engineering > Sound and Related Vibrations |
| Divisions: | Fakultas Sains dan Teknologi > Program Studi Teknik Informatika |
| Depositing User: | Habibie Alnino |
| Date Deposited: | 29 Jul 2022 02:29 |
| Last Modified: | 29 Jul 2022 02:29 |
| URI: | https://etheses.uinsgd.ac.id/id/eprint/54006 |
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