Klasifikasi Algoritma Swarm Intelligence Dalam Perspektif Complex Adaptive System dengan Metode Uji Komparasi Statistik

Classification of Swarm Intelligence Algorithms In Complex Adaptive System Perspective with Statistical Comparative Test Method

*Ketut Bayu Yogha Bintoro scopus  -  Department of Informatics, Universitas Trilogi, Indonesia
Silvester Dian Handy Permana  -  Department of Informatics, Universitas Trilogi, Indonesia
Received: 14 Sep 2017; Published: 31 Oct 2017.
Open Access Copyright (c) 2017 Jurnal Teknologi dan Sistem Komputer
License URL: http://creativecommons.org/licenses/by-sa/4.0

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Article Info
Section: Original Research Articles
Language: ID
In Volume 5, Issue 4, Year 2017 (October 2017)
Statistics: 669 312
Abstract

This research aims to classify which SI algorithms have CAS or non-CAS criteria. The statistical comparative test method with 5 (five) characteristic test parameters was used as the proof approach that produces the classification. Based on the hypothesis that has been tested from 15 (fifteen) algorithms compared in this study, It was obtained that 8 of 15 (53.33%) algorithms has the majority of CAS characteristics, 3 of 15 (20%) algorithms has a minority of characteristics of CAS, and 4 out of 15 (26.66%) algorithms did not have CAS characteristics. The result can be a reference to understanding the characteristics of SI algorithms in the CAS and vice versa.

Keywords: swarm intelligence algorithm; complex adaptive system; statistical comparative test; statistical comparison test

Article Metrics:

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