Brahmana : Jurnal Penerapan Kecerdasan Buatan
Vol 5, No 1 (2023): Edisi Desember

Jaringan Saraf Tiruan Menjaga Keamanan Data dengan Metode Bidirectional Associative Memory

Yenni, Yusli (Unknown)



Article Info

Publish Date
30 Dec 2023

Abstract

System security is currently very much needed from irresponsible parties who damage and steal data. For this reason, a system is needed that is able to protect and secure data from criminal acts. The aim of this research is to provide data codes and keys using binary conversion using the Continuous BAM method. The Continuous BAM method, namely Bidirectional Associative Memory (BAM), has the ability to act as associative memory or content addressable memory, namely memory that can be called up using part of the information stored in it. Apart from that, the Bidirectional Associative Memory (BAM) Artificial Neural Network (ANN) has 2 layers and is fully connected from one layer to the other, so it is possible to have a reciprocal relationship between the input layer and the output layer. The final results of this research are 6 patterns that are entered into the search process, including number patterns 1, 3, 4, 5, 7, and 9 with input vector values of numbers 1 [16,-22], numbers 3 [20, 22], numbers 4 [16,-22], number 5 [20,6], number 7 [24,2] and number 9 [20,18], which do not match the pattern number 7. Requested target [1,-1], result obtained [1,1]. The Continuous Bam method can be used to detect patterns correctly and accurately.

Copyrights © 2023






Journal Info

Abbrev

brahmana

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering

Description

BRAHMANA: Jurnal Penerapan Kecerdasan Buatan adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesional, Mahasiswa dan praktisi dari berbagai bidang Ilmu Kecerdasan Buatan. BRAHMANA: Jurnal ...