Development of knowledge management system for TUP Manila College of Science Learning Resource Center / Angelicka Kim V. Batalla, Adrienne Louis A. Flores, John Daniel L. Reminajes, Julia Albert Y. Tabora.

By:

Batalla, Angelicka Kim V

Contributor(s):

Material type: Text

TextManila : Technological University of the Philippines, 2022Description: 168 pages : illustrations ; 28 cm. + 1 CD-ROM (4 3/4 in.)Subject(s):

LOC classification:

BTH HF 5558.2 B38 2022

Dissertation note: College of Science -- Bachelor of Science in Information Systems, Technological University of the Philippines, 2022. Abstract: The study developed the Knowledge Management System for COS Learning Resource Center with OR Code Generator. Its features include the following (1) Login and Creation of Account (2) User and Admin Profile (3) AR Categorization (4) AR Database Management (5) Search Query (6) QR Code Generation, and (7) Data Analytics. The study aims to create a system that will automate the human storing process. It was developed using HTML, CSS, Bootstrap, and JavaScript with the Laravel framework. The system was evaluated by 40 participants, including 10 IT Professionals and 30 Computer Studies Department students. Overall, the system is well functioning according to the criteria set by ISO 25010:2011. It was classified as "Highly Acceptable," with a mean score of 3.7 --Author's Abstract.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Notes	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH HF 5548.2 B38 2022 (Browse shelf(Opens below))	c.1	Not for loan	For Room Use Only		BTH0003438

Thesis (Undergraduate)

College of Science -- Bachelor of Science in Information Systems, Technological University of the Philippines, 2022.

Includes bibliographical references.

The study developed the Knowledge Management System for COS Learning Resource Center with OR Code Generator. Its features include the following (1) Login and Creation of Account (2) User and Admin Profile (3) AR Categorization (4) AR Database Management (5) Search Query (6) QR Code Generation, and (7) Data Analytics. The study aims to create a system that will automate the human storing process. It was developed using HTML, CSS, Bootstrap, and JavaScript with the Laravel framework. The system was evaluated by 40 participants, including 10 IT Professionals and 30 Computer Studies Department students. Overall, the system is well functioning according to the criteria set by ISO 25010:2011. It was classified as "Highly Acceptable," with a mean score of 3.7 --Author's Abstract.

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