PENERAPAN ALGORITMA J48 UNTUK DETEKSI PENYAKIT TIROID

Paradigma - Jurnal Komputer dan Informatika

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Field Value
 
Title PENERAPAN ALGORITMA J48 UNTUK DETEKSI PENYAKIT TIROID
 
Creator Agustiani, Sarifah
Mustopa, Ali
Saryoko, Andi
Gata, Windu
Wildah, Siti Khotimatul
 
Subject Ilmu Komputer
Thyroid, The algorithm J48, Stages of CRISP-DM, Weka
 
Description Impaired thyroid function is often difficult to identify because the symptoms are not specific. The symptoms of thyroid disorder are very similar to various complaints due to modern lifestyles so it is often overlooked. As a result, patients often do not notice a problem and do not have to consult a doctor. Therefore, there is a study that implements methods to predict the disease which will facilitate the patient in diagnosing and early detection of thyroid levels. This research aims to predict against thyroid disease with the data used is the secondary data obtained from the UCI repository, this data is about the patient data affected by thyroid disease, while the method uses the J48 algorithm because in some studies, the J48 algorithm is proven to have good performance in detecting an illness, as well as producing high value of Accuasy and AUC. The stage of data analysis is based on the CRISP-DM method while algorithm testing is done with Weka tools. Results of the test obtained an accuracy value of 99.645%, and a AUC value of 0.992 thus the accuracy has Excellent Classification level.
 
Publisher Universitas Bina Sarana Informatika
 
Contributor
 
Date 2020-09-07
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://ejournal.bsi.ac.id/ejurnal/index.php/paradigma/article/view/8174
10.31294/p.v22i2.8174
 
Source Paradigma - Jurnal Komputer dan Informatika; Vol 22, No 2 (2020): Periode September 2020; 153-160
Paradigma - Jurnal Komputer dan Informatika; Vol 22, No 2 (2020): Periode September 2020; 153-160
2579-3500
1410-5063
 
Language eng
 
Relation https://ejournal.bsi.ac.id/ejurnal/index.php/paradigma/article/view/8174/pdf
 
Rights Copyright (c) 2020 Paradigma - Jurnal Komputer dan Informatika
https://creativecommons.org/licenses/by-nc-sa/4.0
 

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