TY  - THES
N1  - Agus Mulyanto, M.Kom.
ID  - digilib26717
UR  - https://digilib.uin-suka.ac.id/id/eprint/26717/
A1  - NOPAL FEBRIYAN, NIM. 13650009
Y1  - 2017/05/30/
N2  - UIN Sunan Kalijaga Yogyakarta is one of the State Universities and one of the universities that apply the payment system for Single Tuition. All new students who have been accepted in UIN Sunan Kalijaga will each be divided into several groups according to their economic ability. This research uses k-means clustering method which is one method of data mining to determine the group of Single Tuition in UIN Sunan Kalijaga. The data has been obtained then any process of data cleaning and data transformation. After the data obtained through the process, the next step is to perform data mining techniques using k-means clustering algorithm. At this stage, data that have similarity and have the same characteristics will be grouped in to one cluster. The attributes used in these technique are faculty, major, child to, the number of siblings, number of dependents, mother?s salary, father's salary, and total cost. The number of clusters used is five. The result of k-means clustering algorithm is obtained from 4787 students, there are 1709 students in the first cluster, 1125 students in second cluster, 820 students in the third cluster, 1132 students in the fourth cluster and 1 student in the fifth cluster.
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - Single Tuition
KW  -  Data mining
KW  -  K-means Clustering
M1  - skripsi
TI  - PENERAPAN METODE DATA MINING UNTUK MENENTUKAN PENGELOMPOKAN UANG KULIAH TUNGGAL (UKT) UIN SUNAN KALIJAGA MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING
AV  - restricted
ER  -