PEMODELAN PENGELOMPOKKAN PRESTASI DOSEN MENGGUNAKAN METODE FUZZY C-MEANS
ABSTRACT: A college
desperately needs valid information about the existing learning process. A
piece of information will have more value when processed using existing methods
in mining data. This is because data mining can provide accurate results and
can be used as a means for quick and precise decision making especially related to the behavior of
lecturers in the learning process. This research will do modeling for lecturer
achievement classification using Fuzzy C-Means.This research object is done at
one of private universities in Yogyakarta. The input parameters used in the FCM
method are teaching attendance, final score completion and questionnaire
results from students. Input of 3 variables
is called independent variable, while the value of lecturer achievement index
(IPAD) as the dependent variable. Group of achievement determined in this
research there are 3 that is good, medium and less. The data used are 59
lecturers. The results of the research indicate that FCM can be used to model
lecturer achievement where most lecturers are in the cluster category good for
all variables used in this research. The results of the questionnaire variables
have a significant result to the IPAD lecturer semester of 2009/2010.
Penulis: Sri Redjeki
Kode Jurnal: jptkomputerdd170188