Development of a web application for monitoring diseases in Cavite / by Florvin A. Bayaborda, James Conrad C. Eridao and Aubrey A. Pascua.

By:

Bayaborda, Florvin A [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2022.Description: xv, 89 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

616.0028 B34 2022

Online resources:

Click here to view the Abstract and Table of Contents

Production credits:

College of Engineering, and Information Technology (CEIT)

Abstract: BAYABORDA, FLORVIN A., ERIDAO, JAMES CONRAD C., PASCUA, AUBREY A. Development of Web Application for Monitoring Diseases in Cavite. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University Indang, Cavite. July 2022. Adviser: Mr. Russel L. Villacarlos. The study was conducted virtually in their homes in Naic and Maragondon, Cavite from September 2021 to June 2022 with the purpose of developing a web- based disease monitoring system that will show the locations along with the morbidity rates in Cavite. Specifically, the study aimed to: develop an administration module that would allow the Department of Health in Cavite to input, update, and delete the list of morbidities and patient population; create a homepage module that displays the heatmap along with the morbidity rate to aid health centers in monitoring the locations with the most severe illnesses in Cavite; create a feature in the homepage module that displays data from patients' ages as a bar graph; create a feature in the homepage module that allows users to filter the data they would like to see. The system was evaluated based on its functionality, reliability, usability, efficiency, maintainability, and portability by respondents from various fields, including 106 non-technical respondents, 37 technical respondents from the IT field, and 37 health workers from every municipality in Cavite. The system received an overall grand mean of 4.65, which was assessed as excellent. All of the objectives of the study and advised modifications were accomplished. Recommendations were made to further improve the study, including using a Map API for expansion of locations on the website; adding infographics about the morbidity; including barangays to pinpoint the exact location where the morbidity is occurring; adding morbidity category; and adding mortality rate.

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Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	616.0028 B34 2022 (Browse shelf(Opens below))		Link to resource	Room use only	T-8996		00081856

Thesis (Bachelor of Science in Computer Science) Cavite State University

Includes bibliographical references.

College of Engineering, and Information Technology (CEIT)

BAYABORDA, FLORVIN A., ERIDAO, JAMES CONRAD C., PASCUA, AUBREY A.
Development of Web Application for Monitoring Diseases in Cavite. Undergraduate
Thesis. Bachelor of Science in Computer Science. Cavite State University Indang, Cavite.
July 2022. Adviser: Mr. Russel L. Villacarlos.
The study was conducted virtually in their homes in Naic and Maragondon, Cavite from
September 2021 to June 2022 with the purpose of developing a web- based disease monitoring
system that will show the locations along with the morbidity rates in Cavite. Specifically, the
study aimed to: develop an administration module that would allow the Department of Health in
Cavite to input, update, and delete the list of morbidities and patient population; create a
homepage module that displays the heatmap along with the morbidity rate to aid health centers
in monitoring the locations with the most severe illnesses in Cavite; create a feature in the
homepage module that displays data from patients' ages as a bar graph; create a feature in the
homepage module that allows users to filter the data they would like to see. The system was
evaluated based on its functionality, reliability, usability, efficiency, maintainability, and portability
by respondents from various fields, including 106 non-technical respondents, 37 technical
respondents from the IT field, and 37 health workers from every municipality in Cavite. The
system received an overall grand mean of 4.65, which was assessed as excellent. All of the
objectives of the study and advised modifications were accomplished. Recommendations were
made to further improve the study, including using a Map API for expansion of locations on the
website; adding infographics about the morbidity; including barangays to pinpoint the exact
location where the morbidity is occurring; adding morbidity category; and adding mortality rate.

Submitted to the University Library 08/25/2022 T-8996

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