TY  - THES
N1  - Nurochman, S.Kom., M.Kom
ID  - digilib22217
UR  - https://digilib.uin-suka.ac.id/id/eprint/22217/
A1  - ELVANISA AYU MUHSINA, NIM. 12650027
Y1  - 2016/07/19/
N2  - 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.
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - Multiple Intelligences
KW  -  Profession
KW  -  Bayesian theorem
M1  - skripsi
TI  - SISTEM PAKAR REKOMENDASI PROFESI BERDASARKAN MULTIPLE INTELLIGENCES MENGGUNAKAN TEOREMA BAYESIAN
AV  - restricted
ER  -