APLIKASI PENENTUAN GOLONGAN DARAH MANUSIA DENGAN METODE SEED REGION GROWING DAN SELF ORGANIZING MAPS

J-Icon : Jurnal Komputer dan Informatika

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Title APLIKASI PENENTUAN GOLONGAN DARAH MANUSIA DENGAN METODE SEED REGION GROWING DAN SELF ORGANIZING MAPS
 
Creator Wewo, David
Fanggidae, Adriana
Letelay, Kornelis
 
Description The blood type of human are divided by four group wich is blood type A, B, O & AB. Artificial Neuron Network can help the identify process for blood type. Self organizing maps is a part of arrtificial neuron network who has function for data training and data clasification. The image data are using by blood clotting and obtained after spilled blood sample with the reagent. The real data image are converted into grayscale image, For taking the characteristic are doing by converted real image to image biner with the treshold more than 80 and smaller than 150, image are taken as much as 12 image of clotted blood and 12 image blood wich does not clot, and the next step will do the training process using self organizing maps. The first testing data are doing by the same test data and same with training data too and the result 100%. The second testing data is doing by 12 blood image test data wich is not the same as data training and the result 83.33%.
 
Publisher Universitas Nusa Cendana
 
Date 2018-03-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ejurnal.undana.ac.id/jicon/article/view/349
10.35508/jicon.v6i1.349
 
Source J-Icon : Jurnal Komputer dan Informatika; Vol 6 No 1 (2018): Maret 2018; 8-14
2654-4091
2337-7631
10.35508/jicon.v6i1
 
Language eng
 
Relation http://ejurnal.undana.ac.id/jicon/article/view/349/324
 
Rights Copyright (c) 2018 Jurnal Komputer dan Informatika (JICON)
http://creativecommons.org/licenses/by-nd/4.0
 

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