IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Vol 10, No 2 (2016): July

Sistem Informasi Geografis Risiko Kemunculan Rip Current Menggunakan Decision Tree C4.5

Made Leo Radhitya (Unknown)
Agus Harjoko (Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta)



Article Info

Publish Date
31 Jul 2016

Abstract

One of the dangers that occur at the beach is rip current. Rip current poses significant danger for beachgoers. This paper proposes a method to predict the rip current's occurence risk by using decision tree generated using C4.5 algorithm. The output from the decision tree is rip current's occurrence risk. The case study for this research is the beach located at Rote Island, Rote Ndao, Nusa Tenggara Timur. Evaluation result shows that the accuracy is 0.84, and the precision is 0.61. The average recall value is 0.68 and the average F-measure is 0.59 in the range 0 to 1.

Copyrights © 2016






Journal Info

Abbrev

ijccs

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

Indonesian Journal of Computing and Cybernetics Systems (IJCCS), a two times annually provides a forum for the full range of scholarly study . IJCCS focuses on advanced computational intelligence, including the synergetic integration of neural networks, fuzzy logic and eveolutionary computation, so ...