SISTEM PAKAR REKOMENDASI PROFESI BERDASARKAN MULTIPLE INTELLIGENCES MENGGUNAKAN TEOREMA BAYESIAN

Main Author: ELVANISA AYU MUHSINA, NIM. 12650027
Format: Thesis NonPeerReviewed Book
Bahasa: eng
Terbitan: , 2016
Subjects:
Online Access: http://digilib.uin-suka.ac.id/22217/2/12650027_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
http://digilib.uin-suka.ac.id/22217/1/12650027_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf
http://digilib.uin-suka.ac.id/22217/
Daftar Isi:
  • 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.