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IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Article . 2012 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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Simulasi Swarm Robot Dengan Pendekatan Rayap Pada Masalah Clustering

Authors: Yogha Bintoro, Ketut Bayu; Prijodiprodjo, Widodo;

Simulasi Swarm Robot Dengan Pendekatan Rayap Pada Masalah Clustering

Abstract

AbstrakPendekatan rayap yang merupakan salah satu metode dalam rumpun swarm intelligence yang dapat mengatasi masalah clustering, pada penelitian ini pendekatan rayap dilihat dari sudut pandang pemodelan berbasis agent dan diimplementasikan ke dalam swarm robot. Penelitian ini penting untuk mengembangkan model pendekatan rayap pada kasus – kasus nyata terutama pada masalah clustering, untuk mengimplemantasikan model yang diperoleh dari studi literatur maka dibuatkan simulasi untuk menggambarkan secara detail proses yang terjadi dalam menangani masalah clustering.Pendekatan IODA digunakan untuk memodelkan interaksi yang terjadi didalam simulasi, pendekatan ini di sesuaikan dengan perangkat pengembangan yang digunakan yaitu NETLOGO. Penggunaan IODA menjadi suatu kontribusi untuk mengembangkan metodologi ini, terutama pada NETLOGO disamping pengimplementasian komunikasi tidak langsung dan optimasi pencarian yang dapat membentuk clister lebih cepat dari penelitian sebelumnya. Kata kunci— Pendekatan rayap, simulasi, IODA, clustering, agent AbstractTermites approach is one of the method in swarm intelligent field which used to handle clustering problem. In this research, termites approach are in agent metodology point of view and implemented to swarm robot. This research is important to developing termites model in some real cases especially in clustering problem, to implement this model gathered from literatur study, we used simulation to give detail model about clustering solving process. IODA metodologi is used to modelling the interaction in simulation, this approach is appropriate with NETLOGO as development tool. The involve of IODA has become one of the contribution to develop this in NETLOGO beside the implementation of indirect communication and searching optimization that can makes clustering process faster than the previous research. Keywords—Termites approach, Simulation, IODA, clustering, agent.

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Keywords

Electronic computers. Computer science, Q300-390, QA75.5-76.95, Cybernetics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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