@phdthesis{digilib22217,
           month = {July},
           title = {SISTEM PAKAR REKOMENDASI PROFESI BERDASARKAN MULTIPLE INTELLIGENCES MENGGUNAKAN TEOREMA BAYESIAN},
          school = {UIN SUNAN KALIJAGA YOGYAKARTA},
          author = {NIM. 12650027 ELVANISA AYU MUHSINA},
            year = {2016},
            note = {Nurochman, S.Kom., M.Kom},
        keywords = {Multiple Intelligences, Profession, Bayesian theorem},
             url = {https://digilib.uin-suka.ac.id/id/eprint/22217/},
        abstract = {Intelligence is perhaps is one of the most logical to determine how smart people is. That fact has always been a problem at job because there are number of job that attract people but require a high GPA for them. Employee with high GPA doesn?t always fit in his skill and work role. They unable to understand and maintain their performance. This expert system is a necessary for recommend job using Intelligence.
This research use a Bayesian theorem calculation to find out probability value and job recommendation. The value of MI (Multiple Intelligences) user, MI probability to a job and job probability to previous result without any evidence produce a Calculation Variable.
Result of the test shows output recommendation as expert system to 81.25\% match with expert recommendation. 100\% users statistically states the system running well. Expert system usability test shows 80\% users strongly agree, 15.7\% users agree and 4.3\% users are neutral.}
}