| ANALYSIS BASED ON DETERMINATION PREDICATE GRADUATION STUDENTS VISIT DATA LIBRARY AND INCOME PARENTS USE
K-NEAREST NEIGHBOR
(CASE STUDIES IN THE COLLEGE OF TECHNOLOGY ADISUTJIPTO) |
Penulis
BAYU SUGIYONO
Pembimbing : Anton Setiawan H, S.Kom., M.T - Nurcahyani Dewi R, S.Far., M.T.
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ABSTRAK :
With the increasing Case Studies In The College Of Technology Adisutjipto (STTA) then also increase the data collected in the database. The data collected has not been fully utilized to obtain information useful in improving student achievement so that the data collected in the database only burden the hard disk and does not have much value for future use. In this paper the authors tried to dig up information from the data of the income of parents of students and student library visits of data contained in the database by means of data parental income students and students of library visitation data plotted against cumulative grade students to determine student graduation predicate. For processing such data could use the training data as the old data or reference data and testing of data or new data as the data to be searched proximity value to the training data. To find the value of proximity can be used K-Nearest Neighbor method. K-Nearest Neighbor method is an approach to search for cases by calculating the proximity of new cases with old cases.
Keywords: K-Nearest Neighbor, Data Training, Data Testing.
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Tulisan Lengkap dapat Dibaca di Ruang Tesis/Disertasi
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Penulis |
: BAYU SUGIYONO |
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NIM |
: 09030065 |
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Foto |
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File |
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