Article Per Year (5 Year)
p-Index From 2019 - 2024
1.431
P-Index
This Author published in this journals
All Journal JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal ICT : Information Communication & Technology Jurnal Informasi dan Teknologi Majalah Ilmiah UPI YPTK Knowbase : International Journal of Knowledge in Database Jurnal Komtekinfo
Suci Wahyuni
Universitas Putra Indonesia YPTK Padang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal%20Informasi%20dan%20Teknologi

 1 
Sistem Pakar Deteksi Hemangioma pada Batita menggunakan Metode Hybrid Firna Yenila; Suci Wahyuni; Eva Rianti; Hari Marfalino; Devi Gusmita
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i4.250

Abstract

Hemangioma is a type of disease caused by active glands in the body. Hemangiomas occur in newborns up to the age of five (BATITA). This disease is indicated when a toddler has a fever or body temperature of more than 38°C. This condition affects the nerves and motor organs of the body that are attacked. This condition is sometimes undetected but develops quickly so it is necessary to consult an expert. This study aims to provide building a system in providing early education to parents in identifying toddlers with hemangiomas. This research makes it easy for parents to carry out further consultations with experts regarding the condition of toddlers. The processing of data and facts in this study was carried out by combining several methods (hybrid) in tracing each symptom according to the conditions experienced by system users. This method is continued by giving a weight value in the form of a percentage for each symptom experienced. The results of this study provide new knowledge in the form of information about Hemangioma with a confidence value in the form of a percentage of the patient's condition. This research provides the latest breakthrough in the form of presenting a system using an application that provides an accuracy value to ensure that patients have Hemangioma. This system can provide maximum value for users in gaining new knowledge for patients before further consultation with experts to get action.
Co-Authors Agung Ramadhanu Devi Gusmita Dodi Guswandi Firna Yenila Guswandi, Dodi Kurnia, Hezy M.Hafizh Marfalino, Hari Nasution, Annio Indah Lestari ratih purwasih Rianti, Eva Ruri Hartika Zain Triana Novita Yogi Wiyandra