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<title>Graduate Rate Analysis of Student Using Data Mining and Algorithm Apriori</title>
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<name type="Personal Name" authority="">
<namePart>Setiawan Awan</namePart>
<role><roleTerm type="text">Primary Author</roleTerm></role>
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<name type="Personal Name" authority="">
<namePart>Rusmawan Dadan</namePart>
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<publisher>Medwell Journals</publisher>
<dateIssued>2017</dateIssued>
<issuance>monographic</issuance>
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<languageTerm type="text">Indonesia</languageTerm>
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<note>ABSTRACT
The rapid growth of the accumulation of data has created a data-rich condition but minim of information. Data mining is mining process extracting information by getting the pattern or specific rules from large amounts of data that can solve that condition. Taking advantage of student data and student graduate data expected to yield information about the relationship with a graduate rate of the student holding the data through data mining technique. The graduate rate is measured from the time of study and GPA. Data mining techniques use apriori algorithm the information displayed in the form of support and confidence values from each graduate rate category.</note>
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<physicalLocation>Repository Fakultas Teknik Sistem Repository Elektronik Skripsi dan Penelitian Dosen Fakultas Teknik</physicalLocation>
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