@phdthesis{digilib13401,
           month = {June},
           title = {RANCANG BANGUN SISTEM EVALUASI PEMBELAJARAN
INTERAKTIF BERBASIS ARTIFICIAL INTELLIGENCE DENGAN
METODE BAYESIAN NETWORK

},
          school = {UIN SUNAN KALIJAGA},
          author = {NIM. 10650038 ALFI AQIL },
            year = {2014},
            note = {Pembimbing :  M. Didik R. Wahyudi, M.T.},
        keywords = {Keyword: Bayesian Network, Windows Presentation Foundation,
Intellegent Tutoring System, Common European Framework of Reference for
Languages, C\#


},
             url = {https://digilib.uin-suka.ac.id/id/eprint/13401/},
        abstract = {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.

}
}