PENERAPAN METODE DATA MINING UNTUK MENENTUKAN PENGELOMPOKAN UANG KULIAH TUNGGAL (UKT) UIN SUNAN KALIJAGA MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING

NOPAL FEBRIYAN, NIM. 13650009 (2017) PENERAPAN METODE DATA MINING UNTUK MENENTUKAN PENGELOMPOKAN UANG KULIAH TUNGGAL (UKT) UIN SUNAN KALIJAGA MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

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.

Item Type: Thesis (Skripsi)
Additional Information: Agus Mulyanto, M.Kom.
Uncontrolled Keywords: Single Tuition, Data mining, K-means Clustering
Subjects: Tehnik Informatika
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika (S1)
Depositing User: Miftahul Ulum [IT Staff]
Date Deposited: 21 Jul 2017 08:16
Last Modified: 21 Jul 2017 08:16
URI: http://digilib.uin-suka.ac.id/id/eprint/26717

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