%A NIM. 12650064 IRWANTO
%O M. Didik R Wahyudi, S.T., MT.
%T PENERAPAN DATA MINING UNTUK MENGETAHUI POLA
PEMILIHAN PROGRAM STUDI MAHASISWA BARU UIN SUNAN
KALIJAGA MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING
%X The admission process for new students at State Islamic University of
Sunan Kalijaga abundant produce data that covers personal data of students . It will
continue to take place every year so that the data stored in the database will be many
more . It is unfortunate if the data are not put to good use as a positive thing for the
university.
This study uses data mining application with the k-means clustering
methods in order to know the pattern of election of a new study program for students
in the Islamic State University of Sunan Kalijaga. The raw data that has been
obtained is then carried out pre-processing data that includes data cleansing, data
integration, data selection and transformation of data. Then after the raw data
through these stages, the next step is to do data mining techniques using k-means
clustering algorithm. Where in this stage, the data are similar and the same
characteristics are grouped within a particular cluster. Attributes that are used in
this technique is a program of study, majors in schools, and The origin of the school.
Once the data mining process, there are three clusters are formed. Since each
cluster that can be seen voting patterns of students to courses. The tendency to choose
can be seen in the first cluster, where the cluster is a program of study that is most in
demand by students. From the data as many as 5705 students, 2299 students are
contained in the first cluster, there are 2101 students in the second cluster and 1305
students entered in the third cluster. From the results of this study can be seen that the
first cluster is the highest value, so the tendency of students to choose courses at UIN
Sunan Kalijaga can be determined by looking at the data in the first cluster and follow the
second and third.
%K Cluster, Data mining, k-means clustering, Majors, Program of study, School,
Students, UIN Sunan Kalijaga
%D 2016
%I UIN SUNAN KALIJAGA YOGYAKARTA
%L digilib23150