JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Vol 7 No 3 (2021): JuTISI

Sistem Prediksi Kondisi Kesehatan Pasien Penderita Talasemia dengan Menggunakan Logika Fuzzy Tsukamoto

Cintya Fransisca Wijaya (Universitas Catur Insan Cendekia)
Lena Magdalena (Universitas Catur Insan Cendekia)
Reza Ilyasa (Universitas Catur Insan Cendekia)



Article Info

Publish Date
22 Dec 2021

Abstract

Thalassemia is a hereditary disease that makes sufferers experience red blood cell abnormalities and must receive continuous blood transfusions throughout their lives. Gunung Jati Hospital, Cirebon City handles registration and scheduling of thalassemia patients with assistance from Perhimpunan Orang tua Penderita Talasemia Indonesia (POPTI). In handling patient data, it is necessary to have a system that facilitates all activities ranging from registration, scheduling, and make predictions about the patient's health condition along with recommendations for handling the patient's condition. The purpose of this study is to make a prediction system for health conditions related to thalassemia suffered by patients based on influencing variables using the Fuzzy Tsukamoto method. This system can also handle patient data, scheduling, and storing patient medical recap data. The final results of this system are patient data, patient care schedules, predictions of patient health conditions, and recommendations for patients. Keywords— Fuzzy; Prediction; thalassemia; Tsukamoto.

Copyrights © 2021






Journal Info

Abbrev

jutisi

Publisher

Subject

Computer Science & IT

Description

Paper topics that can be included in JuTISI are as follows, but are not limited to: • Artificial Intelligence • Business Intelligence • Cloud & Grid Computing • Computer Networking & Security • Data Analytics • Datawarehouse & Datamining • Decision Support System • E-Systems (E-Gov, ...