Deteksi 4 Tanda Vital Pasien Rumah Sakit Berbasis Fuzzy Database

To assist the performance of medical technicians in nursing patients effectively and efficiently, information technology appears as a dominant support. Utilizing information technology, patient’s diagnoses can be reported to a doctor as soon as possible, as well as the patient's condition which...

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Main Author: A Haris Rangkuti
Format: Article
Language:English
Published: Bina Nusantara University 2013-06-01
Series:ComTech
Subjects:
Online Access:https://journal.binus.ac.id/index.php/comtech/article/view/2799
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spelling doaj-4e026b0f3cf14000ba8b1eb7c7b14c8e2020-11-25T02:14:45ZengBina Nusantara UniversityComTech2087-12442476-907X2013-06-014152953610.21512/comtech.v4i1.27992190Deteksi 4 Tanda Vital Pasien Rumah Sakit Berbasis Fuzzy DatabaseA Haris Rangkuti0Bina Nusantara UniversityTo assist the performance of medical technicians in nursing patients effectively and efficiently, information technology appears as a dominant support. Utilizing information technology, patient’s diagnoses can be reported to a doctor as soon as possible, as well as the patient's condition which needs to be monitored regularly. It is necessary to build a monitoring information system of hospital that is able to present timely information regarding the patient's condition characterized by four vital signs which are temperature, blood pressure, pulse, and respiration. For the four vital signs monitoring, fuzzy logic concept is implemented. If vital signs approach 1, the patient is close to recovery. Conversely, if the signs are 0, the patient still needs medical treatment. This system also helps nurses in order to provide answers to the families of patients who want to know the development of the patient's condition, as well as the recovery based on the average percentage of Fuzzy max of four vital signs. By Fuzzy-based monitoring system, monitoring the patient's condition becomes simpler and easier.https://journal.binus.ac.id/index.php/comtech/article/view/2799patient monitoring, fuzzy, fuzzy max, vital signs
collection DOAJ
language English
format Article
sources DOAJ
author A Haris Rangkuti
spellingShingle A Haris Rangkuti
Deteksi 4 Tanda Vital Pasien Rumah Sakit Berbasis Fuzzy Database
ComTech
patient monitoring, fuzzy, fuzzy max, vital signs
author_facet A Haris Rangkuti
author_sort A Haris Rangkuti
title Deteksi 4 Tanda Vital Pasien Rumah Sakit Berbasis Fuzzy Database
title_short Deteksi 4 Tanda Vital Pasien Rumah Sakit Berbasis Fuzzy Database
title_full Deteksi 4 Tanda Vital Pasien Rumah Sakit Berbasis Fuzzy Database
title_fullStr Deteksi 4 Tanda Vital Pasien Rumah Sakit Berbasis Fuzzy Database
title_full_unstemmed Deteksi 4 Tanda Vital Pasien Rumah Sakit Berbasis Fuzzy Database
title_sort deteksi 4 tanda vital pasien rumah sakit berbasis fuzzy database
publisher Bina Nusantara University
series ComTech
issn 2087-1244
2476-907X
publishDate 2013-06-01
description To assist the performance of medical technicians in nursing patients effectively and efficiently, information technology appears as a dominant support. Utilizing information technology, patient’s diagnoses can be reported to a doctor as soon as possible, as well as the patient's condition which needs to be monitored regularly. It is necessary to build a monitoring information system of hospital that is able to present timely information regarding the patient's condition characterized by four vital signs which are temperature, blood pressure, pulse, and respiration. For the four vital signs monitoring, fuzzy logic concept is implemented. If vital signs approach 1, the patient is close to recovery. Conversely, if the signs are 0, the patient still needs medical treatment. This system also helps nurses in order to provide answers to the families of patients who want to know the development of the patient's condition, as well as the recovery based on the average percentage of Fuzzy max of four vital signs. By Fuzzy-based monitoring system, monitoring the patient's condition becomes simpler and easier.
topic patient monitoring, fuzzy, fuzzy max, vital signs
url https://journal.binus.ac.id/index.php/comtech/article/view/2799
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