%0 Thesis
%9 Skripsi
%A ALFI AQIL , NIM. 10650038
%B FAKULTAS SAINS DAN TEKNOLOGI
%D 2014
%F digilib:13401
%I UIN SUNAN KALIJAGA
%K Keyword: Bayesian Network, Windows Presentation Foundation,  Intellegent Tutoring System, Common European Framework of Reference for  Languages, C#      
%T RANCANG BANGUN SISTEM EVALUASI PEMBELAJARAN  INTERAKTIF BERBASIS ARTIFICIAL INTELLIGENCE DENGAN  METODE BAYESIAN NETWORK    
%U https://digilib.uin-suka.ac.id/id/eprint/13401/
%X Each student is a unique individual who has the different unique ability  separately unequal to each other and different need to develop its own unique  handling. It will be very difficult because it takes energy, time, and costs that  obviously much more to the side of teachers and students than the current learning  system. Therefore, it needs an application that can help overcome these problems.  With Bayesian Network we can predict the ability of each individual  student and also provide advice appropriate to their ability. With this application,  the learning system for each student can be met better.    
%Z Pembimbing :  M. Didik R. Wahyudi, M.T.