RANCANG BANGUN SISTEM INFORMASI KLASIFIKASI STATUS GUNUNG BERAPI MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER

Abstract

Classification Volcano Status usually is done by geologist and government that work for disaster management specifically on volcano. A person who establish status of volcano usually slow in spreading information about status of volcano, so it is not appropriate with one of government program called disaster prevention since early stage. One of alternative way can be done is reading concept and data pattern adopted from data mining technique using classification method Naïve Bayes Classifier to classify a status of volcano. This system is implemented by website and Code Igniter framework with accuration level result when attribute consist of 9 criteria the result is 83.1%, 8 criteria the result is 77.4%, 7 criteria the result is 75.8%, 6 criteria the result is 74.7%, and 5 criteria the result is 72.4 %. Data accuration level is obtained from testing method using Ten-Fold Cross Validation where training set divided into 10 groups, if group 1 become test set then group 2 until 10 become training set.