TUP newsletter web application / Franco Miguel D. Arambulo, Angelo A. Baclaan, Christopher P. Napoles, Frannz S. Suaverdez.
Material type:
TextManila : Technological University of the Philippines, 2022Description: x, 140 pages : illustrations ; 28 cm. + 1 CD-ROM (4 3/4 in.)Subject(s): LOC classification: - BTH T 58.5 A73 2022
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Bachelor's Thesis COS
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TUP Manila Library | Thesis Section-2nd floor | BTH T 58.5 A73 2022 (Browse shelf(Opens below)) | c.1 | Not for loan | BTH0003441 |
Thesis (Undergraduate)
College of Science -- Bachelor of Science in Information Technology, Technological University of the Philippines, 2022.
Includes bibliographical references.
The system developed the TUP - Newsletter Web Application which provides a web-based platform for college organizations, groups and offices for news, updates, and announcements. The system features include account authentication, search engine optimization, administrative functions such as monitoring and data control, comment thread, subscription, SMS and email notification, and live streaming. The system was developed using Visual Studio Code as the integrated development environment (IDE), the MERN stack (MongoDB, Express JS, React JS, Node JS) as the programming language, and Google Authentication for login access. Nodemailer is a module used for the email notification, while ClickSend is an API used for the SMS notification. Both technologies are used to deliver notifications to people who have subscribed to a certain college or organization. Lastly, the front-end of the website was deployed on Netlify and the back end on Digital Ocean. Scrum-agile methodology was used for the software development process. All required features demonstrated functionality, reliability, and compatibility based on manual testing and two iteration of live deployment test scenarios. Using the ISO 25010 standard for software quality, 30 individuals gave the system a descriptive rating of "Very Good," with a weighted mean of 3.78. This suggests that the system is an accurate and reliable platform for news updates and notifications. --Author's Abstract
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