Penerapan Algoritma Decision Tree C4.5 Untuk Memprediksi Kelayakan Calon Pendonor Melakukan Donor Darah Dengan Klasifikasi Data Mining

JTIM : Jurnal Teknologi Informasi dan Multimedia

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Title Penerapan Algoritma Decision Tree C4.5 Untuk Memprediksi Kelayakan Calon Pendonor Melakukan Donor Darah Dengan Klasifikasi Data Mining
 
Creator Irawan, Yuda
 
Subject Data Mining
C4.5 Algorithm
Web Applications
Blood Donors
 
Description Based on data from UDD PMI Kampar Regency, many donors must have provisions to become blood donors. So far, blood donor selection has been made manually to determine whether potential donors can donate blood or not. Meanwhile, today's information system has not yet explored further information from the large amount of data stored as knowledge. There is a need for organizational consolidation and continuous evaluation of the performance that has been carried out by PMI in dealing with social and humanitarian problems. By making a data mining application with a classification method using the Decision Tree C4.5 Algorithm in predicting someone worthy or not to donate blood, it can be calculated from the results of variables that are continuous or critical, such as variables of age, body weight, hemoglobin (HB) levels, blood pressure. (systolic and diastolic), The data that enters the information system is calculated using the Decision Tree C4.5 Algorithm formula, which results in detailed results and can produce valid and more accurate values. With the data mining application using the Decision Tree Algorithm C4.5 method, potential blood donors' eligibility can be classified based on age, body weight, hemoglobin, and blood pressure. Hemoglobin with the highest gain value (0.861212618) is the variable that most determines blood donation success.
 
Publisher Puslitbang Sekawan Institute Nusa Tenggara
 
Date 2021-02-03
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.sekawan-org.id/index.php/jtim/article/view/75
10.35746/jtim.v2i4.75
 
Source JTIM : Jurnal Teknologi Informasi dan Multimedia; Vol 2 No 4 (2021): February; 181-189
2684-9151
10.35746/jtim.v2i4
 
Language eng
 
Relation https://journal.sekawan-org.id/index.php/jtim/article/view/75/79
 
Rights Copyright (c) 2021 Yuda Irawan
https://creativecommons.org/licenses/by-sa/4.0
 

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