A proposed method for handling an imbalance data in classification of blood type based on Myers-Briggs type indicator
Jurnal Teknologi dan Sistem Komputer
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Title |
A proposed method for handling an imbalance data in classification of blood type based on Myers-Briggs type indicator
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Creator |
Akbar, Ahmad Taufiq
Husaini, Rochmat Akbar, Bagus Muhammad Saifullah, Shoffan |
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Subject |
imbalance data; blood type; resample; k-nearest neighbor; MBTI
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Description |
Blood type still leads to an assumption about its relation to some personality aspects. This study observes preprocessing methods for improving the classification accuracy of MBTI data to determine blood type. The training and testing data use 250 data from the MBTI questionnaire answers given by 250 respondents. The classification uses the k-Nearest Neighbor (k-NN) algorithm. Without preprocessing, k-NN results in about 32 % accuracy, so it needs some preprocessing to handle data imbalance before the classification. The proposed preprocessing consists of two-stage, the first stage is the unsupervised resample, and the second is the supervised resample. For the validation, it uses ten cross-validations. The result of k-Nearest Neighbor classification after using these proposed preprocessing stages has finally increased the accuracy, F-score, and recall significantly.
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Publisher |
Departemen Teknik Komputer, Fakultas Teknik, Universitas Diponegoro
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Contributor |
—
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Date |
2020-10-31
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — |
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Format |
application/pdf
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Identifier |
https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13625
10.14710/jtsiskom.2020.13625 |
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Source |
Jurnal Teknologi dan Sistem Komputer; Volume 8, Issue 4, Year 2020 (October 2020); 276-283
Jurnal Teknologi dan Sistem Komputer; Volume 8, Issue 4, Year 2020 (October 2020); 276-283 2338-0403 |
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Language |
eng
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Relation |
https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13625/12626
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Rights |
Copyright (c) 2020 Jurnal Teknologi dan Sistem Komputer
http://creativecommons.org/licenses/by-sa/4.0 |
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