Jurnal Sains dan Teknologi
Vol. 2 No. 1 (2020): Sains dan Teknologi

Model Jaringan Syaraf Tiruan Dalam Pengenalan Penyakit Asam Lambung

Harbinder Singh (Unknown)
Budiman (Unknown)
Munika Murlia Giawa (Unknown)
Nia Zulfa Yanthi Simbolon (Unknown)



Article Info

Publish Date
29 Mar 2019

Abstract

The stomach has a very important role in the process of digestion of food, therefore we need to maintain its health in orderto avoid disturbances and its function can run normally. Acid reflux or what is known as GERD is one of the diseases commonlysuffered by many people, an unhealthy lifestyle is one of the triggers for the appearance of these symptoms. GERD is a pathologicalcondition resulting from reflux of gastric contents into the esophagus with various symptoms that arise due to esophagealinvolvement. Gastric disease is a common disease, with a prevalence of more than 50%. Neural Network (NN) is an accurate methodin helping doctors to analyze, model and understand complex clinical data in various medical fields, in research it is applied to theintroduction of gastric acid by applying the Nguyen Widrow algorithm to optimize training time in back-propagation networkarchitecture. . Based on the test results on the dataset, the Nguyen Widrow algorithm can only recognize 60% of the patient datasetsample with an average time of 0.049 seconds.

Copyrights © 2020






Journal Info

Abbrev

saintek

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance Mathematics Physics Social Sciences

Description

SAINTEK (Jurnal Sains dan Teknologi) adalah jurnal peer reviewed dan Open-Access. SAINTEK merupakan jurnal yang diterbitkan oleh Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara. SAINTEK mengundang para peneliti, dosen, dan praktisi di seluruh dunia untuk bertukar dan memajukan ...