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All Journal The Journal of Experimental Life Sciences (JELS) Jurnal EECCIS Journal of Innovation and Applied Technology
Suci Astutik
Brawijaya University
Biochemistry, Genetics & Molecular Biology Computer Science & IT Engineering Immunology & microbiology Medicine & Pharmacology Neuroscience

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Journal : Jurnal EECCIS

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Evaluation of Implementation Context Based Clustering In Fuzzy Geographically Weighted Clustering-Particle Swarm Optimization Algorithm Siti Nurmardia Abdussamad; Suci Astutik; Achmad Effendi
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 14 No. 1 (2020)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v14i1.609

Abstract

This paper contains an evaluation of the implementation Context Based Clustering method into Fuzzy Geographically Weighted Clustering-Particle Swarm Optimization (FGWC-PSO) algorithm on 11 variable from data factors causing the spread of dengue in East Java. Integration of Particle Swarm Optimization as a metaheuristic algorithm makes the computation run longer so, the solution in this paper is FGWC-PSO will be combined with context based clustering to produce a hybrid method (CFGWC-PSO) which can shorten the computational time of the clustering algorithm. Context based clustering in this paper will use 3 ways, namely by using random values, using Fuzzy C-Means (FCM), and using mean and standard deviations. CFGWC-PSO algorithm using number of clusters = 2 and CFGWC-PSO will be evaluated using IFV index, based on processing results found that the best clustering algorithm is CFGWC-PSO using FCM
Co-Authors Achmad Efendi Achmad Effendi Bestari Archita Safitri Henny Pramoedyo Loekito Adi Soehono Novi Nur Aini Siti Nurmardia Abdussamad