Indonesian Journal of Artificial Intelligence and Data Mining
Vol 1, No 1 (2018): March 2018

Implementation of Data Mining to Predict The Feasibility of Blood Donors Using C4.5 Algorithm

Anita Febriani (STMIK Hang Tuah Pekanbaru)
Tiara Trimadya Rahmawati (Unknown)
Eka Sabna (Unknown)



Article Info

Publish Date
01 Mar 2018

Abstract

Blood Transfusion Unit PMI Pekanbaru City is part of a company or agency that serves blood donation, every blood bag obtained from the community voluntarily come to PMI to donate blood with the goal of humanity. In Blood Transfusion Unit PMI Pekanbaru City, has provisions to be blood donors that must be met in order to donate blood in UTD PMI Pekanbaru City. Data Mining is a combination of a number of computer science disciplines that are defined as the process of discovering new patterns from massive data sets. By using RapidMiner software and using the method of Decision Tree Algorithm C4.5 to determine the eligibility of blood donors based on Age, Weight, Hemoglobin, and Blood Pressure. In the study of hemoglobin is the most decisive variable in blood donors. And the result accuracy is 94.02% which means the accuracy of this model is very good.

Copyrights © 2018






Journal Info

Abbrev

IJAIDM

Publisher

Subject

Computer Science & IT

Description

Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) is an electronic periodical publication published by Puzzle Research Data Technology (Predatech) Faculty of Science and Technology UIN Sultan Syarif Kasim Riau, Indonesia. IJAIDM provides online media to publish scientific ...