Metode Bidirectional Associative Memory (BAM) Kontinu Pengenalan Pola Karakter Untuk Keamanan Data
DOI:
https://doi.org/10.30865/json.v4i2.5339Keywords:
Artificial Neural Networks, Learning Paradigm, Data Security, Continuous New Method, Activation FunctionAbstract
Artificial Neural Networks have a paradigm for processing information with the concept of working using biology in processing information similar to how the human brain works. Artificial neural networks solve many problems using the concept of uncertainty such as the discussion in the material, namely the introduction of Continuous BAM Character Patterns. The problem in this research is the lack of data security in maintaining information so that a lot of data can be accessed by people who do not have authority. The main objective of this research is to maintain data security using the Continuous BAM concept. The BAM Kontine method is a method that has the ability to have associative memory or content addressable memory that can be called by using the part stored in the memory itself. The Continuous BAM method will change input to output more smoothly with values that lie in the range [0,1]. The activation function used is the sigmoid function. The results obtained from x1 = [7,-11], x2= [7,13] and x3=[-1,9], All Signs can be recognized by the Continuous BAM algorithm. All Sign Patterns have the same target but have different values.References
R. Muliono and J. Hakim Lubis, “Jaringan Saraf Tiruan Pengenalan Pola Huruf Dengan Jaringan Habb,†JTIK(Jurnal Teknik Informatika Kaputama), vol. 2, no. 1, pp. 46–50, 2018.
A. Jumarwanto, “Aplikasi Jaringan Saraf Tiruan Backpropagation Untuk Memprediksi Penyakit Tht Di Rumah Sakit Mardi Rahayu Kudus,†Jurnal Teknik Elektro, vol. 1, no. 1, p. 11, 2009.
J. Tengah and C. Java, “Prediksi Beban Listrik Menggunakan Algoritma Jaringan Saraf Tiruan Tipe Propagasi Balik,†Semesta Teknika, vol. 23, no. 2, pp. 143–155, 2020.
E. D. Manurung, B. Nadeak, and E. Ndruru, “Implementasi Algoritma Hebb Rule Pada Diagnosa Penyakit Kolik Abdomen Pada Orang Dewasa,†JURIKOM (Jurnal Riset Komputer), vol. 7, no. 2, p. 250, 2020, doi: 10.30865/jurikom.v7i2.2086.
G. A. Pauzi, “Sistem Identifikasi dan Pengenalan Pola Citra Tanda-Tangan Menggunakan Sistem Jaringan Saraf Tiruan ( Artificial Neural Networks ) Dengan Metode Backpropagation,†vol. 03, no. 02, pp. 93–101, 2015.
A. Syafutra, S. Siswanto, and Y. Handayani, “Analisa Prediksi Data Debit Runtun Waktu Menggunakan Jaringan Saraf Tiruan Algoritma Backpropagation (Studi Kasus DAS Indragiri),†Jurnal Online Mahasiswa Fakultas Teknik Universitas Riau, vol. 1, no. 2, pp. 1–14, 2014.
D. Avianto, “Menggunakan Algoritma Momentum Backpropagation Neural Network,†Jurnal Informatika, vol. 10, no. 1, pp. 1199–1209, 2016.
F. Zola, “Jaringan Saraf Tiruan Menggunakan Algoritma Backpropagation Untuk Memprediksi Prestasi Siswa,†Jurnal Teknologi Dan Open Source, vol. 1, no. 1, pp. 58–72, 2018, doi: 10.36378/jtos.v1i1.12.
Z. Arifin, “Jaringan Saraf Tiruan Bidirectional Associative Memory (BAM) Sebagai Identifikasi Pola Sidik jari Manusia,†Jurnal Informatika Mulawarman Program Studi Ilmu Komputer Universitas Mulawarman, vol. 4, no. 1, pp. 21–26, 2009.
A. Fadlil, I. Riadi, and A. Nugrahantoro, “Kombinasi Sinkronisasi Jaringan Saraf Tiruan dan Vigenere Cipher untuk Optimasi Keamanan Informasi,†Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, vol. 11, no. 1, pp. 81–95, 2020, doi: 10.31849/digitalzone.v11i1.3945.
Ansori, “Pengenalan Pola Dua Dimensi Sederhana Dengan Jaringan Saraf Tiruan Hebb,†Paper Knowledge . Toward a Media History of Documents, vol. 3, no. April, pp. 49–58, 2015.
S. Purba, “Pengenalan Karakter Menggunakan Metode Bidirectional Associative Memory ( Bam ) Kontinu,†vol. 11, no. 01, pp. 89–101, 2019.
J. D. Susatyono, Kecerdasan Buatan, Kajian Konsep dan Penerapan. 2021.
J. Coding, S. K. Untan, H. Masrani, I. Ruslianto, J. S. Komputer, and J. S. Informasi, “Pada proses segmentasi ini dibagi menjadi dua bagian , yaitu segmentasi baris dan,†vol. 06, no. 02, pp. 69–78, 2018.
D. Muliona Rizki, “Jaringan Saraf Tiruan Pengenalan Pola Huruf,†vol. 2, no. 1, pp. 46–50, 2018.
K. L. Tjung et al., “Implementasi Kombinasi Jaringan Saraf Tiruan Metode Self-Organized Map ( SOM ) dan Bidirectional Associative Memory (BAM) Pada AI Game Action Adventure .,†pp. 1–7, 2013.
A. Giawa, “Implementasi Metode Bidirectional Associative Memory Pada Absensi Berbasis Identifikasi Wajah (Studi Kasus : Mts Zending Islam Indonesia Medan),†vol. 8, pp. 108–111, 2019.
M. I. Ukkas, A. H. Kridalaksana, and T. W. Cenggoro, “Pengenalan Pola Perilaku Seorang Manusia Dalam Permainan Suten Menggunakan Metode Jaringan Saraf Tiruan Propagasi Balik,†Sebatik, vol. 12, no. 1, pp. 1–8, 2018, doi: 10.46984/sebatik.v12i1.63.
