Implementasi JST Pada Keamanan Data Smartphone menggunakan metode metode Bidirectional associative memory BAM

Authors

  • Yendrizal Amik KOSGORO

DOI:

https://doi.org/10.54367/means.v8i2.3058

Keywords:

pattern recognition, Activation Function, Binary Conversion, Bidirectional Continuous Associative Memory Method, ANN

Abstract

The development of smartphone technology is currently increasing from year to year, this can be seen from the many outputs of smartphone technology circulating in the market. Smartphones are now a primary need for carrying out daily life. Smartphones are used not only for communication but also for data storage. The research problem often occurs when data is stolen from smartphones from criminal acts. The purpose of this study is pattern recognition on smartphones according to the user's secret key to avoid data theft and other criminal acts. Pattern recognition uses the BAM Continuous Associative Memory Bidirectional method using Activation and sigmoid functions. The Smartphone recognition pattern consists of 5 patterns namely Z pattern, O pattern, M pattern, O pattern and W pattern. The pattern results obtained from Z=[7,7] pattern, O=[11,15] pattern, M=[ pattern 13,7], pattern X=[7,9], pattern O=[11,15]. Based on the final results after searching for 5 patterns, only pattern Z=[7.7] and pattern X=[7.9] are the same as the expected targets in pattern recognition that were entered.

References

Husna, L., & Rizki, S. N. (2023). Pemanfaatan JST Pengenalan Keaslian Pola Tanda Tangan untuk Pencegahan Tindakan Pemalsuan Tanda Tangan. 08, 116-124.

Lesnussa, Y. A., & Risamasu, E. (2020). Aplikasi Jaringan Syaraf Tiruan Backpropagation Untuk Meramalkan Tingkat Pengangguran Terbuka (TPT) Di Provinsi Maluku. Sainmatika: Jurnal Ilmiah Matematika Dan Ilmu Pengetahuan Alam, 17(2), 89. https://doi.org/10.31851/sainmatika.v17i2.3434

Mubarokh, M. F., Nasir, M., & Komalasari, D. (2020). Jaringan Syaraf Tiruan Untuk Memprediksi Penjualan Pakaian Menggunakan Algoritma Backpropagation. Journal of Computer and Information Systems Ampera, 1(1), 29–43. https://doi.org/10.51519/journalcisa.v1i1.3

Phi, Lestari, J., Nurhasanah, T. M., Wahyuni, N., & Hasanuddin, D. (2023). Desain Algoritma Jaringan Syaraf Tiruan (JST) untuk Identifikasi Covid-19 dan Pneumonia. Perdhana R. 2023. JST …, 4(1), 2023.

Purba, S. (2019). Pengenalan Karakter Menggunakan Metode Bidirectional Associative Memory ( Bam ) Kontinu. 11(01), 89–101.

Rayandra. (2023). Implementasi Jaringan Syaraf Tiruan Pengenalan Pola Huruf Menggunakan Metode Bidirectional Associative Memory ( BAM ). 08, 125–133.

Revi, A., Solikhun, S., & Parlina, I. (2018). Jaringan Syaraf Tiruan Dalam Memprediksi Tingkat Pertumbuhan Industri Mikro Dan Kecil Berdasarkan Provinsi. Teknika, 7(2), 129–137. https://doi.org/10.34148/teknika.v7i2.123

Rozi Meri, D. (2022). Jaringan syaraf tiruan menggunakan algoritma hebb rule untuk diagnosa penyakit kulit manusia. 6(2), 78–87.

Yendrizal. (2022). Jaringan Saraf Tiruan Pengenalan Pola Huruf Sistem Matriks dengan Algoritma Hebb Rule. 9(5), 1466–1471. https://doi.org/10.30865/jurikom.v9i5.5015

Yunaldi, A., & Karnadi, V. (2022). Metode Bidirectional Associative Memory ( BAM ) Kontinu Pengenalan Pola Karakter Untuk Keamanan Data. 4, 380–386. https://doi.org/10.30865/json.v4i2.5339

Published

2023-12-12

How to Cite

Yendrizal, Y. (2023). Implementasi JST Pada Keamanan Data Smartphone menggunakan metode metode Bidirectional associative memory BAM. MEANS (Media Informasi Analisa Dan Sistem), 8(2), 200–204. https://doi.org/10.54367/means.v8i2.3058

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