Self-Diagnosis of Web-Based Pregnancy and Childbirth Disorders Using Forward Chaining Methods

International Journal of Advances in Data and Information Systems

View Publication Info
 
 
Field Value
 
Title Self-Diagnosis of Web-Based Pregnancy and Childbirth Disorders Using Forward Chaining Methods
 
Creator Pratama, I Putu Agus Eka
 
Subject Diagnosis
DSRM
Forward Chaining
Pregnancy Disorders
TAM
 
Description The high mortality rate for pregnant women and childbirth in Bali, Indonesia, is caused by a lack of initial diagnosis of the diseases and complaints experienced by pregnant women during pregnancy, as well as a lack of health medical personnel scattered throughout Bali, to be able to provide optimal health services. It is necessary to have an online information system that helps pregnant women to be able to independently and online diagnose diseases, complaints, and symptoms experienced during pregnancy. The system must be able to be accessed anytime and anywhere, with high reliability and availability, and provide fast diagnostic results. Focus of this research is design and implementation of an Information System for Diagnosis of Pregnancy Disorders Based on Cloud Computing based on Forward Chaining Method, using Design Science Research Methodology (DSRM) and tested using the Technology Acceptance Model (TAM) method. The application is placed on the Hybrid Cloud. The results of this research, can help pregnant women in diagnosing diseases and complaints online, to reduce the mortality rate for pregnant women and giving birth.
 
Publisher Indonesian Scientific Journal
 
Date 2021-01-11
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijadis.org/index.php/IJADIS/article/view/self-diagnosis-of-web-based-pregnancy-and-childbirth-disorders-u
10.25008/ijadis.v2i1.1198
 
Source International Journal of Advances in Data and Information Systems; Vol. 2 No. 1 (2021): April 2021 - International Journal of Advances in Data and Information Systems; 25-35
2721-3056
 
Language eng
 
Relation http://ijadis.org/index.php/IJADIS/article/view/self-diagnosis-of-web-based-pregnancy-and-childbirth-disorders-u/20
 
Rights Copyright (c) 2021 I Putu Agus Eka Pratama
https://creativecommons.org/licenses/by-sa/4.0
 

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