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PENERAPAN METODE ENSEMBLE UNTUK KLASIFIKASI KANKER SERVIKS MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE, MULTILAYER PERCEPTRON DAN K-NEAREST NEIGHBOR

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Cervical cancer is a development of abnormal cells in the cervix (mouth of the womb) caused by the Human Pappiloma Virus. The Ensemble method has the ability to overcome the shortcomings of each Single Classification Algorithm by combining a Single Classification Algorithm. This study applies the Ensemble Method by combining the Single Classification Algorithm SVM (Support Vector Machine), MLP (Multilayer Perceptron), and K-NN (K-Naerest Neighbor )to find out how the performance of the Ensemble Method on the Classification of Cervical Cancer in the Herlev dataset for 2 class problems and 7. The results of this study indicate that the application of the Ensemble Method by combining a single Classification Algorithm proved to be effective for Classification of Pap Smear cells in 2 classes, but not good in 7. Classification with the Ensemble Method resulted in the best accuracy for Classification of Normal and Abnormal cells, namely 94.32%, and the results of the Sensitivity and Specificity values are very good, namely 91.8% and 93.45%, while for the 7 class classification it is still not good with the results of Accuracy, Sensitivity, and Specificity below 70%, which is 57%, 61.14% and 62%. Keywords : SVM, MLP, K-NN, Cervical Cancer, Ensemble Method

Availability
Inventory Code Barcode Call Number Location Status
2107003455T58332T583322021Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T583322021
Publisher
Inderalaya : Prodi Ilmu Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam.,
Collation
xii, 70 hlm. : ilus. ; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
518.107
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
kanker serviks
Algoritma
Prodi Ilmu Matematika
Metode Ensemble
Specific Detail Info
-
Statement of Responsibility
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No other version available

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