Veterinary clinic management system / Mas Nur Alya Mohd Yusof and Shukor Sanim Mohd Fauzi

Veterinary Clinic Management System is a web-based application for managing appointments for pets. The goal of putting this system into place is to create a web-based application that enables pet owners to make appointment requests via the cloud or online before visiting the clinic for services and...

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Bibliographic Details
Main Authors: Mohd Yusof, Mas Nur Alya, Mohd Fauzi, Shukor Sanim
Format: Book Section
Language:English
Published: College of Computing, Informatics and Media, UiTM Perlis 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/100149/1/100149.pdf
https://ir.uitm.edu.my/id/eprint/100149/
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Institution: Universiti Teknologi Mara
Language: English
Description
Summary:Veterinary Clinic Management System is a web-based application for managing appointments for pets. The goal of putting this system into place is to create a web-based application that enables pet owners to make appointment requests via the cloud or online before visiting the clinic for services and manage appointment data such as schedules, assessments, and notifications through the system. This system's primary objective is to identify problems, determine potential solutions, and replace the manual appointment scheduling procedure now used in veterinary clinics while supporting animal clinics in enhancing the delivery of high-quality care. In order to develop this web-based system, three goals must be met. The first is to identify and analyse the issue of veterinary clinic appointments and self-report, the second is to design and develop a web-based veterinary clinic appointment and self-report, and the third is to assess the usefulness of veterinary clinic appointments and self-report. This system employs the waterfall model as a technique and the System Development Life Cycle (SDLC) (Jevtic. G, 2022). Thirty people were chosen to test the system in a usability test, which involved using a set of questionnaires to ascertain user approval. The data and analysis's conclusions demonstrate that the system can be used, managed, and brought to the participants' goals. As a result, the technology makes the process of appointing management more efficient and seamless.