Measurement Model In Optimizing The Certainty Of Accurate Data Similarity With The Hierarchy Of Partition Grid Method (HGP)

Abstract

The development of the increasing population, the number of student academic data population is currently increasing, making researchers interested in conducting research in order to ensure student entities, especially validation of the certainty of student data, including ways to facilitate the process of finding student data, when verifying data certainty such as related attributes in a student, among others:Student Parent Number. Student Name, Place of Birth, Date of Birth, Gender, Study Program, College Name, Diploma Number, and other supporting data. The measurement analysis model used in this research method is the Hierarchy of Partition Grid (HGP) data integrated in the database system, in order to facilitate verification and validation through smart phone numbers or through the internet network, using the method of hierarchy of partition grid (HGP).As a solution to the above problems, the researcher formulated a modeling of an integrated data processing system between the attributes of academic data of students, so that it is easy to get information related to academic entities of student records. In describing the concept of this integrated data processing model. Researchers also use object-oriented analysis with unified modeling language (UML) design tools, in addition to using structured data relationship modeling entity relationship diagram (ERD).From the above explanation it can be concluded that the processing of student academic data, it is necessary to create a proper model to overcome the difficulties in ensuring student academic data at a college.The results of measuring the accuracy of data similarity using the Hierarchy of Grid Partition (HGP) population data for student academic data, from a total of 5185 data, it can be seen that the measurement results that amounted to 4111 normal data (single ID), amounted to 1070 invalid double data (similarities), and amounted to 4 valid double data (similarities), so it can be concluded that there are 4 data that have a valid level of accuracy of similarity.