RANCANG BANGUN SISTEM PAKAR UNTUK DETEKSI DINI KATARAK MENGGUNAKAN ALGORITMA C4.5
Abstrak: In 2010, 51% of 39
million blindness are caused by cataract. In 2013, there are 1.8% of 1.027.763
Indonesian people who suffered from cataract. Half of them are not treated yet
due to their ignorance on the cataract disease. Therefore, in this research, we
tried to build a system that can detect early cataract disease as the
ophthalmologist would do. The system will use C4.5 algorithm that receives 150
training data set as an input, resulting in a set of rules which can be used as
decision factors. To test the system, k-fold cross validation technique is been
used with k equals to 10. From the analysis result, the accuracy of the system
is 93.2% to detect cataract disease and 80.5% to detect the type of cataract
disease one might suffered.
Penulis: Ivana Herliana W.
Jayawardanu, Seng Hansun
Kode Jurnal: jptkomputerdd150425
