ANALISIS ASOSIASI PILIHAN PROGRAM STUDI PENDAFTAR UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA JALUR MANDIRI MENGGUNAKAN ALGORITMA APRIORI

DITA SEPTASARI, NIM. 14650013 (2018) ANALISIS ASOSIASI PILIHAN PROGRAM STUDI PENDAFTAR UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA JALUR MANDIRI MENGGUNAKAN ALGORITMA APRIORI. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

State Islamic University Sunan Kalijaga has a lot of registrans data from various path, one of the path is independent path. The Study program chosen by registrans can be used as information to analysis. The Anaysis of the Study programs selected by registrans can be used for each study programs to attract new students, in addition to facilities registrans to obtain what is aspired through selection of appropriate study programs by exploring the existing patterns for consideration of study program selection. Analysis study programs selected by registrans can use the Apriory Algorithm. Apriory Algorithm is an algorithm to find the data pattern with frequency value. The Study Programs chosen by registrans has an relationship that can be representation in association rules. Apriory Algorithm has a role to calcutate the process for determine the support value of each study program and the most combination of study programs chosen by registrans based on frequency itemset and also determine the confidence value of the study program for the association analysis process. The output of the association analysis is the result in knowledge about the registers has selected Industrial Engineering study program also has selected Informatic Engineering study program for the most combination study program selected by State Islamic University Sunan Kalijaga registrans for the academic year 2016/2017 and know how strong the relationship between that two study programs.

Item Type: Thesis (Skripsi)
Additional Information: Agus Mulyanto, M.Kom,
Uncontrolled Keywords: Data Mining, Algoritma Apriori, Analisis Asosiasi, Pendaftar UIN Sunan Kalijaga
Subjects: Tehnik Informatika
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika (S1)
Depositing User: H. Zaenal Arifin, S.Sos.I., S.IPI.
Date Deposited: 21 Mar 2019 13:52
Last Modified: 21 Mar 2019 13:52
URI: http://digilib.uin-suka.ac.id/id/eprint/34020

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