JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Vol 8 No 3 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)

Sistem Inferensi Fuzzy untuk prediksi Sindrom Metabolik bagi penyandang Penyakit Ginjal Kronik

Muhammad Zainudin Al Amin (Unknown)
Sri Kusumadewi (Unknown)
Linda Rosita (Unknown)



Article Info

Publish Date
14 Sep 2021

Abstract

Patients with Chronic Kidney Disease (CKD) are increasing every year. One of the risk factors is due to metabolic syndrome because components in the metabolic syndrome are the cause of risk factors for CKD. The purpose of this study is to build a fuzzy inference system to predict metabolic syndrome for people with CKD. The method in this research is through literature study in building fuzzy rules and forming a fuzzy inference system. The variables used are body mass index, blood pressure, triglycerides, HDL and fasting blood sugar. System testing was carried out on eight hemodialysis patient data. The results of the system test are able to provide information related to the percentage of metabolic syndrome risk levels in 7 patients with chronic kidney disease.

Copyrights © 2021






Journal Info

Abbrev

jatisi

Publisher

Subject

Computer Science & IT

Description

JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun ...