Open AccessApplication for data collection and monitoring of COVID-19 patients in Sukorame Community Health Center
Author(s) -
Toga Aldila Cinderatama,
Rinanza Zulmy Alhamri,
Fery Sofian Efendi,
Kunti Eliyen,
Benni Agung Nugroho
Publication year - 2022
Publication title -
matrix : jurnal manajemen teknologi dan informatika/matrix: jurnal manajemen teknologi dan informatika
Language(s) - English
Resource type - Journals
eISSN - 2580-5630
pISSN - 2088-284X
DOI - 10.31940/matrix.v12i1.19-30
Subject(s) - data collection , covid-19 , community health center , center (category theory) , medical emergency , waterfall model , health care , community health , work (physics) , computer science , medicine , family medicine , nursing , public health , disease , engineering , software , infectious disease (medical specialty) , statistics , chemistry , mathematics , pathology , programming language , economics , crystallography , economic growth , mechanical engineering
The significant increase in COVID-19 cases in Indonesia in May-July 2021 overwhelmed health workers. One of the efforts to monitor the spread of COViD-19 disease is collecting data on patients and proper monitoring. For example, the Sukorame Community Health Center, Mojoroto Kediri, does not yet have an application to record and monitor COVID-19 patients. Data collection is currently done manually by writing in books and excel. This study designed and built a data collection and monitoring application for COVID-19 patients to help Puskesmas staff obtain more accurate patient data and monitor the related patient data. This study implements the waterfall method, including system requirements, design, implementation, verification, and maintenance. The results of this study are the applications that can help and facilitate Community Health Center in collecting data on COVID-19 as a form of effort in overcoming and preventing the spread of COVID-19 in the work area of Sukorame Community Health Center, Kediri City. Based on the user satisfaction questionnaire results, 75% of users consisting of staff and heads of community health centers were helped by this application.