Development of a web application for monitoring diseases in Cavite /
Bayaborda, Florvin A.
Development of a web application for monitoring diseases in Cavite / by Florvin A. Bayaborda, James Conrad C. Eridao and Aubrey A. Pascua. - Indang, Cavite : Cavite State University- Main Campus, 2022. - xv, 89 pages : illustrations ; 28 cm
Thesis (Bachelor of Science in Computer Science) Cavite State University
Includes bibliographical references.
College of Engineering, and Information Technology (CEIT) 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.
Diseases--Monitoring system
Monitoring system--Diseases
Online monitoring
616.0028 / B34 2022
Development of a web application for monitoring diseases in Cavite / by Florvin A. Bayaborda, James Conrad C. Eridao and Aubrey A. Pascua. - Indang, Cavite : Cavite State University- Main Campus, 2022. - xv, 89 pages : illustrations ; 28 cm
Thesis (Bachelor of Science in Computer Science) Cavite State University
Includes bibliographical references.
College of Engineering, and Information Technology (CEIT) 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.
Diseases--Monitoring system
Monitoring system--Diseases
Online monitoring
616.0028 / B34 2022