APPLICATION OF ASSOCIATION RULES WITH APRIORI ALGORITHM TO DETERMINE THE PATTERN OF THE RELATIONSHIP BETWEEN SBMPTN DATABASE AND STUDENT'S GRADE POINT AVERAGE
Author(s):
Mubeena Begum
Keywords:
SBMPTN database, GPA, Association Rule, Apriori Algorithm
Abstract
In a university management, information system is one of the resources that can be utilized to improve competitiveness and provide accurate data to stakeholders. Yogyakarta State University accepts students through a variety of ways, namely SNMPTN, SBMPTN and self-selection. By utilizing the SBMPTN database and students’ Grade Point Average (GPA), in this paper will apply data mining technique using Apriori algorithm to determine the pattern of the relationships between SBMPTN database and students’ GPA. Data were obtained from the students’ SBMPTN database of the classes of 2010 and students’ GPA.
Article Details
Unique Paper ID: 157049
Publication Volume & Issue: Volume 9, Issue 5
Page(s): 816 - 822
Article Preview & Download
Share This Article
Conference Alert
NCSST-2023
AICTE Sponsored National Conference on Smart Systems and Technologies
Last Date: 25th November 2023
SWEC- Management
LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT