VaXeen: A Website Utilizing Data Analytics to Monitor Animal Bite Rates at Mabalacat District Hospital
- GABRIEL T. DELOS REYES
- FAITH ANNE M. LITAN
- JADEN RENZO P. LUMANLAN
- PATRICK JAMES OMANDAM
- JON IRIS O. SAN BUENAVENTURA
- ERNIE LEE E. PINEDA
- DENNIS L. TACADENA
Abstract
The unexpected outbreak of health issues such as the COVID-19 pandemic demonstrated how crucial technology is to medicine. Data analytics was utilized to predict diseases, but has not been used to track local diseases such as cat and dog rabies in the Philippines. The general objective of the study was to develop a system named "VaXeen: A Website Using Data Analytics to Monitor Animal Bite Rates at Mabalacat District Hospital." This system was developed using the Modified Waterfall Model as the Software Development Life Cycle (SDLC) approach. This systematic approach ensures there is clear progress and documentation at each stage of developing the system. Alpha and Beta testing were conducted according to ISO 25010 standards, ensuring Functional Suitability, Compatibility, Interaction Capability, Security, and Flexibility. The average Alpha testing score, rated by three (3) IT experts, was 4.09, which is rated as "Good." Meanwhile, Beta testing, rated by thirty (30) representatives from Mabalacat District Hospital, was 4.23, also rated as "Good." The test results indicate that the system is meeting its functional requirements, performs well on various platforms, has an easy user interface, secures data, and can be adjusted in the future. In conclusion, VaXeen successfully accomplishes its goals by offering a user-friendly, safe, and adaptable system that improves the Mabalacat District Hospital's animal bite rate monitoring, enabling more successful public health initiatives.
