Recognition of Hijaiyah Letter Patterns Using The Bidirectional Associative Memory Method

Nanda Jarti, Sestri Novia Rizki

Abstract


Artificial Intelligence has a very broad scope so it can solve very complex problems. Hijaiyah letter pattern recognition using the Bidirectional Associative Memory (BAM) method has the ability to detect maximum results for the blind who are learning to recognize hijaiyah letters in producing information using a bipolar system. The problem in this research is the difficulty for blind people in recognizing hijaiyah letters and patterns, so this research was designed to help blind people learn hijaiyah letters so that they can easily understand the patterns and types of letters using the 3x3 order matrix concept. In the BAM has the advantage of layers that are interconnected between one layer and another layer so that they can be connected from the input layer to the output layer. This research will produce a Hijaiyah letter recognition pattern using the 3x3 Matrix system to design a system for identifying Hijaiyah letter patterns. From the results of the tests that have been carried out, there are 5 Hijaiyah letter patterns, namely ا, ث, ج, ذ and ش which are processed by pattern recognition with a value of 1. [1.1] [1,-13],[-1,1][3,-11 ],[1,-1] [-9,-17],] [-1,1][ [13,9], [-1,1][-13,13]. Of the 5 Hijaiyah letter patterns, only 2 letter patterns were able to be recognized by the system, namely the letters ذ and ش, and 3 patterns were not able to be recognized by the system. Thus it can be concluded that not all patterns using the BAM method are able to recognize patterns precisely and correctly.

Keywords


Artificial Neural Network; Bipolar; BAM; Hijaiyah Letters; Pattern Recognition

References


T. A. Naufal, A. Sembiring, and H. Sembiring, “Jaringan Syaraf Tiruan Memprediksi Tingkat Penggunaan Sosial Media Dimasa Pandemi Menggunakan Metode Backpropagation,” J. Tek. Komputer, Agroteknologi Dan Sains, vol. 1, no. 1, pp. 94–102, 2022, doi: 10.56248/marostek.v1i1.19.

A. Revi, S. Solikhun, and I. Parlina, “Jaringan Syaraf Tiruan Dalam Memprediksi Tingkat Pertumbuhan Industri Mikro Dan Kecil Berdasarkan Provinsi,” Teknika, vol. 7, no. 2, pp. 129–137, 2018, doi: 10.34148/teknika.v7i2.123.

L. Husna and S. N. Rizki, “Pemanfaatan JST Pengenalan Keaslian Pola Tanda Tangan untuk Pencegahan Tindakan Pemalsuan Tanda Tangan,” vol. 08, pp. 116–124, 2023.

S. N. Rizki, “Implementasi Jaringan Syaraf Tiruan menggunakan Metode Heteroassociative Memory pada Kode Rahasia Menggunakan System Biner,” vol. 8, no. 2, pp. 191–195, 2023.

Silvilestari, “Pemanfaatan Algoritma Pembelajaran Pola Karakter Menggunakan Metode Hebb Rule,” vol. 8, no. 2, 2023.

Y. Yendrizal, “Jaringan Saraf Tiruan Pengenalan Pola Huruf Sistem Matriks dengan Algoritma Hebb Rule,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 5, p. 1466, 2022, doi: 10.30865/jurikom.v9i5.5015.

D. Rozi Meri, “Jaringan syaraf tiruan menggunakan algoritma hebb rule untuk diagnosa penyakit kulit manusia,” vol. 6, no. 2, pp. 78–87, 2022.

P. M. P. M, “Jaringan Saraf Tiruan Pengenalan Pola Karakter Kabataku Menggunakan Metode Bidirectional Associative Memory (BAM) Kontinu,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 5, p. 1444, 2022, doi: 10.30865/jurikom.v9i5.5016.

A. W. Aranski and S. N. Rizki, “Pemanfaatan Algoritma Hebb Rule Mendiagnosis Kerusakan Elektroda Pada Proses Welding Frame Thermostat,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 6, p. 2205, 2022, doi: 10.30865/jurikom.v9i6.5335.

R. Rayendra, “Implementasi Jaringan Syaraf Tiruan Pengenalan Pola Huruf Menggunakan Metode Bidirectional Associative Memory (BAM),” J. Tek. Inform. UNIKA St. Thomas, vol. 08, pp. 125–133, 2023.

J. P. Informatika et al., “Implementasi Metode Bidirectional Associative Memory Pada Absensi Berbasis Identifikasi Wajah ( Studi Kasus : Mts Zending Islam Indonesia Medan ),” vol. 8, pp. 108–111, 2019.

A. Yunaldi and V. Karnadi, “Metode Bidirectional Associative Memory (BAM) Kontinu Pengenalan Pola Karakter Untuk Keamanan Data,” J. Sist. Komput. dan Inform., vol. 4, no. 2, p. 380, 2022, doi: 10.30865/json.v4i2.5339.

A. Heryati, “Penerapan Jaringan Saraf Tiruan Untuk Memprediksi Pencapaian Prestasi Mahasiswa,” pp. 8–9, 2018.

N.Wahyudi, M. Simanjuntak, and Sihombing, “Jaringan Syaraf Tiruan Memprediksi Pemasangan Saluran Air Bersih Pengguna Baru Menggunakan Metode Backpropagation pada PDAM Tirta Sari Binjai,” Algoritm. J. Ilmu Komput. dan Inform., vol. 5, no. 2, pp. 90–100, 2021.

J. P. Haumahu, K. Kunci, : Backpropagation, J. S. Tiruan, N. Balok, and P. Pola, “Implementasi Jaringan Syaraf Tiruan Untuk Pengenalan Pola Notasi Balok Menggunakan Metode Backpropagation,” Jurikom), vol. 6, no. 3, pp. 255–259, 2019.

P. Suku, K. Bahasa, I. Menggunakan, and M. Lpc, “JOINTECS,” vol. 3, no. 28, pp. 155–166, 2022.

Octariadi, B. C., & Siregar, A. C. (2021). Pengenalan Pola pada Citra Tanda Tangan Online dan Offline menggunakan Jaringan Syaraf Tiruan Metode Backpropagation. 5(01), 49–56.

Euclides, N., Nugroho, W., Widiarti, A. R., Informa, T., Maguwoharjo, P., & Sleman, D. (2016). Transliterasi citra aksara hiragana mempergunakan jaringan backpropagation. 13(November), 182–192.

Haumahu, J. P. (2019). Implementasi Jaringan Syaraf Tiruan Untuk Pengenalan Pola Notasi Balok Menggunakan Metode Backpropagation. 6(3), 255–259.

Ramadhani, I., Pratiwi, S. H., & Handayani, A. N. (2017). Analisis Jaringan Saraf Tiruan Pengenalan Pola Huruf Hiragana dengan Model Jaringan Perceptron. 11(1), 45–56.




DOI: http://dx.doi.org/10.24014/ijaidm.v7i1.29192

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