Sistem Pembelajaran Hukum Baca Al-Qur’an Menggunakan Algoritma LPC dan KNN

Authors

  • Hafizh Achmad Dinan Institut Teknologi Nasional Bandung
  • Youllia Indrawaty N Institut Teknologi Nasional Bandung
  • Kurnia Ramadhan Putra Institut Teknologi Nasional Bandung

DOI:

https://doi.org/10.29080/systemic.v6i1.927

Keywords:

LPC, KNN, Tajwid Voice Extraction, Tajwid

Abstract

A Muslim must be able to read the verses of the Qur’an properly as taught by the Prophet, Muhammad. Reading the Qur'an in accordance with tajwid is obligatory for every Muslim, if someone reads the Qur'an without using tajwid, the law is sinful. The development of the application of learning the Tajwid of Qur’an is aimed at helping a Muslim to be good at reading the Qur’an that is good and right.Al-Fatihah is uses in this application.  Learning the Tajwid of Qur’an Application is using Linear Predictive Coding (LPC) method as sound feature extraction and K-Nearest Neigbor as matching with training data. For testing the pronunciation of the 1st verse obtained data accuracy of 83.3%, the 2nd verse is 86.7%, the 3rd verse is 85%, the 4th verse is 80%, the 5th verse is 88.3%, the 6th verse is 93.3%.

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References

Suryani, D., Irfan, M., Uriawan, W., & Budiawan, W. (2016). IMPLEMENTASI ALGORITMA DIVIDE AND CONQUER PADA APLIKASI BELAJAR ILMU TAJWID. JOIN Volume I No. 1.

Rabiner, L., & Juang, B.-H. (1933). Fundamental of Speech Recognition. New Jersey: PTR Prentice-Hall, Inc.

Altman, N. (1992). An introduction to kernel and nearest-neighbor nonparametric regression. American Statistical Association, 175–185.

Shofia, E. N., Putri, R. R., & Arwan, A. (2017). Sistem Pakar Diagnosis Penyakit Demam: DBD, Malaria dan Tifoid Menggunakan Metode K-Nearest Neighbor – Certainty Factor. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 426-435.

Han, J., Kamber, M., & Pei, J. (2012). Data Mining. Concept and Techniques. Waltham: Morgan Kaufmann.

Dewi, I. A., Zulkarnain, A., & Lestari, A. A. (2018). Identifikasi Suara Tangisan Bayi menggunakan Metode LPC dan Euclidean Distance. ELKOMIKA, Vol. 6, No. 1, 153-164.

Fatoni, C. S., & Noviandha, F. D. (2017). Case Based Reasoning Diagnosis Penyakit Difteri dengan Algoritma K-Nearest Neighbor. Citec Journal, 220-232.

Hanafi, M., Fadillah, N., & Ihsan, A. (2019). Optimasi Algoritma K-Nearest Neighbor untuk Klasifikasi Tingkat Kematangan Buah Alpukat Berdasarkan Warna. IT Journal Research and Development (ITJRD), 10-18.

S Harsemadi, G., Sudarma, M., & Pramaita, N. (2017). Implementasi Algoritma K-Nearest Neighbor pada Perangkat Lunak Pengelompokan Musik untuk Menentukan Suasana Hati. Teknologi Elektro, 15-19.

Idwal, A. Y., Nurhasanah, Y. I., & Utami, D. B. (2017). Sistem Pengenalan Suara Bahasa Indonesia Untuk Mengenali Aksen Melayu Pontianak Dan Sunda Garut. Jurnal Teknik Informatika dan Sistem Informasi Volume 3 Nomor 3, 461-471.

Indrawaty, Y., Dewi, I. A., & Lukman, R. (2019). Ekstraksi Ciri Pelafalan Huruf Hijaiyyah Dengan Metode Mel-Frequency Cepstral Coefficients. MIND Journal, 01-16.

Mustakim, & Oktaviani F, G. (2016). Algoritma K-Nearest Neighbor Classification Sebagai Sistem Prediksi Predikat Prestasi Mahasiswa. Jurnal Sains, Teknologi dan Industri, 195-202

Nurhasanah, Y. I., Dewi, I. A., & Saputro, B. A. (2018). Iqro Reading Learning System through Speech Recognition Using Mel Frequency Cepstral Coefficient (MFCC) and Vector Quantization (VQ) Method. Int. Journal of Applied IT Vol. 02 No. 01, 29-42.

Rivki, M., & Bachtiar, M. (2017). Implementasi Algoritma K-Nearest Neighbor Dalam Pengklasifikasian Follower Twitter Yang Menggunakan Bahasa Indonesia. Jurnal Sistem Informasi (Journal of Information Systems), 31-37.

Sudaradjat, D. (2019). Digitalisasi Sinyal Suara Manusia Dengan Algoritma Linear Predictive Coding. Jurnal Ilmu Pengetahuan Dan Teknologi Komputer, 177-184

A Triansyah, E., & Indrawaty N, Y. (2017). Implementasi Metode Pattern Recognition Untuk Pengenalan Ucapan Huruf Hijaiyyah. Jurnal Ilmiah Teknologi Informasi Terapan, 1-10.

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Published

2021-01-25

How to Cite

Hafizh Achmad Dinan, Youllia Indrawaty N, & Kurnia Ramadhan Putra. (2021). Sistem Pembelajaran Hukum Baca Al-Qur’an Menggunakan Algoritma LPC dan KNN. Systemic: Information System and Informatics Journal, 6(1), 29–37. https://doi.org/10.29080/systemic.v6i1.927

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