• ISSN: 2349-6002
  • UGC Approved Journal No 47859
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APPLICATION OF ASSOCIATION RULES WITH APRIORI ALGORITHM TO DETERMINE THE PATTERN OF THE RELATIONSHIP BETWEEN SBMPTN DATABASE AND STUDENT'S GRADE POINT AVERAGE

  • Unique Paper ID: 157049
  • Volume: 9
  • Issue: 5
  • PageNo: 816-822
  • 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.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 5
  • PageNo: 816-822

APPLICATION OF ASSOCIATION RULES WITH APRIORI ALGORITHM TO DETERMINE THE PATTERN OF THE RELATIONSHIP BETWEEN SBMPTN DATABASE AND STUDENT'S GRADE POINT AVERAGE

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UGC Approved
Journal no 47859

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