| 000 | 02553ntm a2200277 i 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20231021150021.0 | ||
| 008 | 230814s2022 |||a|||| bm|| 00| 0 eng d | ||
| 040 |
_aTUPM _beng _cTUPM _erda |
||
| 050 |
_aBTH T 58.5 _bA73 2022 |
||
| 100 | 1 | _aArambulo, Franco Miguel D. | |
| 245 | 1 | 0 |
_aTUP newsletter web application / _cFranco Miguel D. Arambulo, Angelo A. Baclaan, Christopher P. Napoles, Frannz S. Suaverdez. |
| 264 |
_aManila : _bTechnological University of the Philippines, _c2022. |
||
| 300 |
_ax, 140 pages : _billustrations ; _c28 cm. + _e1 CD-ROM (4 3/4 in.) |
||
| 500 | _aThesis (Undergraduate) | ||
| 502 |
_aCollege of Science -- _bBachelor of Science in Information Technology, _cTechnological University of the Philippines, _d2022. |
||
| 504 | _aIncludes bibliographical references. | ||
| 520 | 3 | _aThe 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 | |
| 650 |
_aNewsletters _xData processing. |
||
| 650 | _aNewsletters. | ||
| 653 | _aTechnological University of the Philippines. | ||
| 700 | 1 | _aBaclaan, Angelo A. | |
| 700 | 1 | _aNapoles, Christopher P. | |
| 700 | 1 | _aSuaverdez, Frannz S. | |
| 942 |
_2lcc _cBTH COS _n0 |
||
| 999 |
_c28064 _d28064 |
||