Pengembangan Ant Algorithm Dengan Hybridization Concept Untuk Clustering Data
Sari: Application of ant
algorithm for the problem solving with artificial intelligence has grew at full
speed. This problem was related to the behavior of ant that was aimed at strove
for sustain the ant colony life. Base on the literature survey, the research
that was apply the ant algorithm in data mining scope for clustering data has
not done . In this research, researcher was design and analysis application of
ant algorithm for clustering data . The
algorithm, that was used, was modification and improvement for the algorithm that
has developed previously. Ant algorithm that was designed was not used four
main parameters, ant desirability, ant frequency, heuristic information (a) and
pheromone concentration (b), that used in the previous research[2]. The
Software that was designed and implemented in operating system Windows has
experimented with data from many sources. The result of the experiment was the
true classification in 93,48% - 97,00% range, the false classification in 3,00%
- 6,52% range and unclassified 0%.
Penulis: Saiful Bukhori
Kode Jurnal: jptkomputerdd060002
