PENERAPAN DATA MINING UNTUK ANALISIS PENGARUH LAMA STUDI MAHASISWA TEKNIK INFORMATIKA UIN SUNAN KALIJAGA YOGYAKARTA MENGGUNAKAN METODE APRIORI

GATHUT CAKRA SUTRADANA, NIM. 12651090 (2016) PENERAPAN DATA MINING UNTUK ANALISIS PENGARUH LAMA STUDI MAHASISWA TEKNIK INFORMATIKA UIN SUNAN KALIJAGA YOGYAKARTA MENGGUNAKAN METODE APRIORI. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Based on the academic regulations of 2012 student’s study length at UIN Sunan Kalijaga Bachelor degree is the first step academic program that has a study load of 144-160 credits, is scheduled for at least eight semesters, can be achieved in less than 8 semesters and no more than the duration of 14 semesters after high school education. Based on data from student alumni the fact is students study pattern are different for each student. Students studying less than 8 semesters, right at the 8th semester even more than 8 semesters. This research applies data mining with apriori algorithms to determine patterns that affect the length of study of college students based on the length to pass semester. Patterns that are made in the results of the analysis are patterns of category to pass semester 6-7, semester 8, and semester 9-14. From the implementation of the method it’s expected to produce a pattern of association that rules the study length of students. The application of data mining apriori algorithm successfully implement TIF student alumni data that are related to search for patterns that affect a student's study length. Of the three categories by semesters pass resulting association rules in each category, as well as generating support and confidance value as the value of association rules.

Item Type: Thesis (Skripsi)
Additional Information: M. Didik R Wahyudi, S.T., MT.
Uncontrolled Keywords: academic regulations, data mining, algorithms priori, PTIPD UIN Sunan Kalijaga.
Subjects: Tehnik Informatika
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika (S1)
Depositing User: Miftahul Ulum [IT Staff]
Date Deposited: 03 Aug 2016 12:12
Last Modified: 03 Aug 2016 12:12
URI: http://digilib.uin-suka.ac.id/id/eprint/21314

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