Development of CvSU e-learning service desk support through trouble-ticket classifier method / by Neil Justine C. Baldomar, Christian Balmaceda, Mark Kervy A. Creencia and Reshly D. Guaves.

By:

Baldomar, Neil Justine C [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2022.Description: 120 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

378.1734 B19 2022

Online resources:

Click here to view the Abstract and Table of Contents

Production credits:

College of Engineering, and Information Technology (CEIT)

Abstract: BALDOMAR, NEIL JUSTINE C., BALMACEDA, CHRISTIAN B., CREENCIA, MARK KERVY A., GUAVES, RESHLY D., Development of CvSU E-learning Service Desk Support Through Trouble-Ticket Classifier Method. Undergraduate Thesis Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. Juno 2022. Adviser: Ms. Ezra Marie F. Ramos. The study that was conducted from September 2021 to June 2022 aimed to develop CvSU E-learning Service Desk Support Through Trouble-Ticket Classifier Method. The overall goal of this study is to develop a Service Desk System for the Cavite State E-learning site that will help the users with their problems or concerns encountered in Cavite State University E-leaning site. Also, the study will help the administrators of CvSU service desk support to manage the users concerns. The researchers developed the software using iterative development as a guideline. In order to develop the system, the researchers used different tools which include PHP, MySQL, JavaScript. The system is available on the internet using mobile and desktop devices and accessible through Edge, Chrome, Safari, and Safari 7, Firefox. It is available 24 hours a day and accepts a wide range of users every day. To determine whether the system met the requirements, the researchers conducted a system evaluation for both non-technical and technical aspects, The technical evaluation form is rated by an IT professional. while the non-technical forms are rated by students and instructors at Cavite State University. The result of system evaluation for non-technical conducted by the researchers was 4.33 average mean and 4.36 for the technical, which is interpreted as *Excellent". Therefore, it was concluded that the addition of Chatbot and Service desk for administrators of Cavite State E-learning can help instructors and students monitor and track performances in online classes.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	378.1734 B19 2022 (Browse shelf(Opens below))		Link to resource	Room use only	T-9130		00083507

Thesis (Bachelor of Science in Computer Science) Cavite State University

Includes bibliographical references.

College of Engineering, and Information Technology (CEIT)

BALDOMAR, NEIL JUSTINE C., BALMACEDA, CHRISTIAN B., CREENCIA, MARK KERVY A., GUAVES, RESHLY D., Development of CvSU E-learning Service Desk Support Through Trouble-Ticket Classifier Method. Undergraduate Thesis Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. Juno 2022. Adviser: Ms. Ezra Marie F. Ramos.

The study that was conducted from September 2021 to June 2022 aimed to develop CvSU E-learning Service Desk Support Through Trouble-Ticket Classifier Method. The overall goal of this study is to develop a Service Desk System for the Cavite State E-learning site that will help the users with their problems or concerns encountered in Cavite State University E-leaning site. Also, the study will help the administrators of CvSU service desk support to manage the users concerns. The researchers developed the software using iterative development as a guideline. In order to develop the system, the researchers used different tools which include PHP, MySQL, JavaScript. The system is available on the internet using mobile and desktop devices and accessible through Edge, Chrome, Safari, and Safari 7, Firefox. It is available 24 hours a day and accepts a wide range of users every day. To determine whether the system met the requirements, the researchers conducted a system evaluation for both non-technical and technical aspects, The technical evaluation form is rated by an IT professional. while the non-technical forms are rated by students and instructors at Cavite State University. The result of system evaluation for non-technical conducted by the researchers was 4.33 average mean and 4.36 for the technical, which is interpreted as *Excellent". Therefore, it was concluded that the addition of Chatbot and Service desk for administrators of Cavite State E-learning can help instructors and students monitor and track performances in online classes.

Submitted to the University Library 08/03/2022 T-9130

Click on an image to view it in the image viewer