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

The accreditation of the university or study program, 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 reguler 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. The results of this analysis can be an
alternative for study programs to make decisions.