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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Digit : Digital of Information Technology Indonesian Journal of Informatic Research and Software Engineering Jurnal Manajemen Sistem Informasi International Journal of Trends in Accounting Research
Nas, Chairun
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Social Sciences

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Design of Artificial Immune System - Models and Algorithms: Design of Artificial Immune System - Models and Algorithms Sujana, Teguh; Nas, Chairun
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 5 No. 2 (2025): Indonesian Journal of Informatic Research and Software Engineering (IJIRSE)
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijirse.v5i2.2246

Abstract

Artificial Immune Systems (AIS) belong to a group of computational intelligence methods inspired by the working mechanisms of biological immune systems to solve various computational problems. Artificial Neural Networks (ANNs) themselves are often used in various fields such as anomaly detection, pattern recognition, cyber and network security, task scheduling, process optimization, and data analysis, with the application of various ANN algorithms. In the AIS approach, there are four basic algorithms that serve as the main foundation, namely the Negative Selection Algorithm (NSA), Artificial Immune Networks (aiNet), Clonal Selection Algorithm (CLONALG), and Dendritic Cell Algorithm (DCA). The problem that occurs at this time is that there is still a lack of papers that discuss the main basic algorithms in AIS, resulting in difficulties in developing new models of basic algorithms. Apart from that, many other aspects of the natural immune system have not been touched due to not yet understanding the basic algorithm of AIS. This paper aims to explain the main models and algorithms in AIS above so that in future research, new algorithms can be developed based on the basic algorithm as a reference. The results of this paper are a review of the main basic models and algorithms in AIS.
Co-Authors -, Teguh Sujana Agus Sevtiana Akbar, Safitri Akirini, Wakidin Nur Alfan Abadi, Muhamad Amroni, Amroni Dewi, Wiwiek Nurkomala Habib Bahtiar, Usman Karlina, Rani Kusuma, Ricky Perdana Lena Magdalena, Lena Lestari, Octavia Indah Linda Norhan, Linda Mansyur, Asep Abdul Muhammad Hatta Muhammad Irfan Naidawimala, Jasmine Noviyanti, Kiki Petrus Sokibi, Petrus Sari, Maya Permata Septian, Willy Eka Sulhan, Muhammad Afif Suprihatin, Yuniar Suwandi Suwandi Taufiq Subagio, Ridho Turini, Turini Virgiani, Devina