SISTEM INFORMASI RISIKO KEMUNCULAN RIP CURRENT MENGGUNAKAN DECISION TREE C4.5; INFORMATION SYSTEM OF RIP CURRENT’S OCCURENCE RISK USING DECISION TREE C4.5

RADHITYA, MADE LEO, Agus Harjoko

2016 | Disertasi | FMIPA

One of danger that occur in the beach is rip current. rip current is significant danger for beachgoers. This research trying to serve the geographical information about rip current's occurence risk by using decision tree that built by C4.5 Algorithm. The output from decision tree is rip current's occurrence risk. Case studi in this research is beach that located at Rote island, Rote Ndao, Nusa Tenggara Timur. From the system evaluation result, have found the average of accuracy is 0,84, the average of precision is 0,61, the average of recall is 0,68 and the average of F-measure is 0,59 from range 0 to 1.

Kata Kunci : rip current, C4.5 Algorithm, decision tree, geographic information system.