SISTEM PENDETEKSIAN POLA TAJWID PADA CITRA AL-QURAN MENGGUNAKAN ALGORITMA BIDIRECTIONAL ASSOCIATIVE MEMORY

Authors

  • Lidya Rosnita Teknik Informatika Universitas Malikussaleh
  • Muhammad Zarlis Teknik Informatika USU
  • Syahril Efendi Teknik Informatika USU

DOI:

https://doi.org/10.29103/techsi.v8i2.138

Abstract

Pada umumnya didalam dunia pengolahan citra untuk mengenali sebuah pola dapat diberikan beberapa pelatihan terlebih dahulu. Didalam penelitian ini pendeteksian pola tajwid pada citra Al-Quran menggunakan empat pola tajwid iqlab, dengan algoritma Bidirectional Associative Memory yang kemudian akan diukur unjuk kerjanya berdasarkan delapan nilai sensitif yang berbeda. Berdasarkan hasil komplesitas algoritma, sistem pendeteksian pola tajwid pada citra Al-Quran menggunakan algoritma Bidirectional Associative Memory memiliki kompleksitas sebesar T(n) =  (n). Hasil penelitian menunjukkan bahwa sistem pendeteksian pola tajwid pada citra Al-Quran menggunakan algoritma Bidirectional Associative Memory memiliki kisaran true detection sebesar 72 % hingga 84 %. 

References

Arshad, N.W. Makhraj Recognition for Al-Quran Recitation using MFCC. International Journal of Intelligent Information Processing(IJIIP). Volume4, Number2, June 2013.

Cormen, T.H., et.al. 2009. Introduction to Algorithms. Thrid Edition. London: The MIT Press.

Fadlisyah. 2014. Sistem Pendeteksian Wajah Pada Video Menggunakan Jaringan Adaptive Linear Neuron (ADALINE). Tesis, Fakultas Teknik: Universitas Sumatra Utara.

Pandjaitan, L.W. 2007. Dasar-dasar Komputasi Cerdas. Yogyakarta: Andi.

Putra, D. 2010. Pengolahan Citra Digital. Yogyakarta : Andi.

Rao, V.B. 1995. C++ Neural Networks and Fuzzy Logic: Preface. MTBooks, IDG Books Worldwide, Inc.

Rosnita, Lidya. 2016. Unjuk Kerja Algoritma BAM dan Algoritma FAM Untuk Sistem Pendeteksian Pola Tajwid Pada Citra Al-Quran. Tesis, Fakultas Ilmu Komputer dan Teknologi Informasi: Universitas Sumatera Utara.

Singh, Y.P., et.al. 2009. Bidirectional Associative Memory Neural Network Method In The Character Recognition. Journal of Theoretical and Applied Information Technology.

Sutojo, T. , et.al. 2010. Kecerdasan Buatan. Yogyakarta: Andi.

Zarkasyi, I. 1987. Pelajaran Tajwid Qaidah Bagaimana Mestinya Membaca Al Quran. Gontor: Trimurti Gontor Ponorogo.

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Published

2019-03-21

Issue

Vol. 8 No. 2 (2016)

Section

Articles

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