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<title>Turnitin:</title>
<subTitle>Correspondence Analysis on Tracer Study Data Using Confidence Circle (Study Case Alumni of Institut Teknologi Bandung, Batch 2008 and 2009)</subTitle>
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<namePart>H. Husniah</namePart>
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<name type="Personal Name" authority="">
<namePart>U.S. Pasaribu</namePart>
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<namePart>N.F.F. Ilmi</namePart>
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<namePart>U. Mukhaiyar</namePart>
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<dateIssued>2022</dateIssued>
<issuance>monographic</issuance>
<edition>Volume 12, Issue Number 1</edition>
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<note>ABSTRACT
© 2020,Internetworking Indonesia Journal All Rights Recerved.As the second-best university in Indonesia, Institut Teknologi Bandung has been carrying out tracer studies since 2010. It is very important because the institution can get feedback from alumni to improve learning method or can manage programs to upgrade student quality. Correspondence analysis is one method to obtain interesting patterns from a set of data through some graphical displays. This analysis works by projecting the row and column profiles into the subspace simultaneously, in order to produce two or three Euclid subspaces. The dimension reduction technique that applied is the singular value decomposition. In this paper, the correspondence analysis is used to find out the predicate (student’s academic achievement) trend pattern from two different categories in the tracer study. The final step in correspondence analysis is to complete the map with a confidence circle. This circle can measure the proximity of coordinates between several categories. It can also identify categories that have significant influences. As an illustration, two categorical variables of tracer study used, i.e., grade point cumulative and waiting time to get first job data for a different batch of alumni. It is obtained that generally, all faculties have similar behavior. But for some faculties, there is no significant tendency between both variables. It can be seen from the correspondence map with 10% confidence region still cannot give significant influence. It is concluded that, in order to reach the quality of alumni, the university should give more soft skills (some soft skills out of academic skills) or career guidance for students, especially for students whose academic achievement are lower than Very Satisfied.</note>
<subject authority=""><topic>Circle confidence</topic></subject>
<subject authority=""><topic>singular value decomposition</topic></subject>
<subject authority=""><topic>Correspondence analysis</topic></subject>
<subject authority=""><topic>Multivariate analysis</topic></subject>
<subject authority=""><topic>Tracer Study</topic></subject>
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