ALGORITMA APRIORI UNTUK MENEMUKAN HUBUNGAN ANTARA JURUSAN SEKOLAH DENGAN TINGKAT KELULUSAN MAHASISWA

indah puji astuti

Abstract


If a university or course of study to apply for accreditation, graduation rate is one of the influential factors. Educational period targeted in 4 years or 8 semesters of study period. But in reality there are still many students who pass beyond the study period. In this case the university or course of study can utilize students' self data to predict the student's graduation rate. One of them by using the concept of data mining. In this research the authors used an a priori algorithm to find the relationship between departments taken at high school level with the level of graduation students. The student's graduation rate is measured by length of study and GPA. The calculation is  using 2 ways that is by manual calculation and by using Tanagra software. Based on the results of the analysis from regular class A students of 2012/2013 which amounted to 23 data it can be found rule, if the majors taken at high school level is SMK, then the possibility of the student will graduate on time with a period of 4 years or less. The GPA that the student will achieve between 3.1 - 3.5.

 

Keywords - Algoritma Apriori, Data mining, Student Graduation, Tanagra


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References


Kusrini, Luthfi E .T. 2009. Algoritma Data Mining. Penerbit Andi. Yogyakarta.

Fajri Ahmad Fikri. 2016. Implementasi Algoritma Apriori dalam Menentukan Program Studi yang Diambil Mahasiswa. Jurnal Ipteks Terapan. Research of Applied Science and Education. Vol. 10 (2) : 81 – 85

Anofrizen, Harton, R. M. T. 2015. Rancang Bangun Aplikasi Data Mining untuk Menampilkan Informasi Tingkat Kelulusan Mahasiswa dengan Algoritma Apriori. Jurnal Rekayasa dan Manajemen Sistem Informasi. Vol. 1(1) : 31 – 38

Jananto, A., Retnosari, P. 2013. Implementasi Data Mining untuk Menemukan Hubungan Antara Kota Kelahiran Mahasiswa Dengan Tingkat Kelulusan Mahasiswa Pada Fakultas Teknologi Informasi UNISBANK. Dinamika informatika. Vol. 5 (2) : 112 – 121

Grand. 2018. Penerapan Algoritma Apriori Untuk Menentukan Hubungan Data Murid Dengan Nilai Sekolah. IKRAITH-INFORMATIKA. 2(1) : 7 – 12.

Dennis Aprilla C, et. al. Belajar Data Mining dengan Rapidminer.

Jiawei Han, Micheline Kamber, Jian Pei. Data Mining: Concepts And Techniques. 3rd Ed

Nofriansyah, Dicky. 2014. Konsep Data Mining Vs Sistem Pendukung Keputusan. Deepublish Publisher. Yogyakarta




DOI: https://doi.org/10.15408/jti.v12i1.10525 Abstract - 0 PDF - 0

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