Development of Scheduling System in Computer Studies Department Using Beehive Algorithm / John Arthur R. Carandang, Kristian Jay Eusebio, Benedict M. Gumera, Krystel Mae E. Jabonete, Julliene Mey D. Terrano.

By:

Carandang, John Arthur R

Contributor(s):

Material type: Text

TextManila : Technological University of the Philippines, 2023Description: x, 104 pages : illustrations ; 29 cm. + 1 CD-ROM (4 3/4 in.)Content type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

LOC classification:

BTH QA 76 C37 2023

Dissertation note: College of Science -- Bachelor of Science in Computer Science, Technological University of the Philippines, 2023. Abstract: This study aimed to develop a web-based scheduling system using a beehive algorithm for automating the generation of schedules in computer studies courses. The target users of the system include the department head and regular faculty members of the Computer Studies Department. The problem addressed was the time-consuming and manual process of creating schedules, which often leads to inefficiencies and errors. The solution was to create an automated system that could generate schedules based on provided information. The system was developed using Hypertext Preprocessor (PHP) code for the backend, and various user interfaces were designed to facilitate the scheduling process. Through functionality and usability testing, the system demonstrated its effectiveness in generating schedules accurately and providing a user-friendly interface. The evaluation results showed that the system achieved highly acceptable ratings in terms of functionality (3.40), reliability (3.26), usability (3.35), efficiency (3.44), and maintainability (3.31). The grand weighted mean rating was 3.35, indicating a highly acceptable system. The findings indicated that the developed scheduling system significantly reduced the time and effort required for schedule creation and improved overall efficiency. The system's user-friendly interface and efficient scheduling capabilities contributed to its success in enhancing the scheduling process for faculty members. In conclusion, the automated scheduling system using the beehive algorithm proved to be a valuable tool for the Computer Studies Department. It effectively addressed the problem of manual schedule creation and provided a reliable solution for generating accurate schedules. The system's high ratings in functionality, reliability, usability, efficiency, and maintainability further validated its effectiveness. Future enhancements could focus on expanding the system's scope to include other departments and incorporating more personalized customization features based on user preferences.--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 QA 76 C37 2023 (Browse shelf(Opens below))	c.1	Not for loan	For Room Use Only		BTH0003477

Thesis (Undergraduate

College of Science -- Bachelor of Science in Computer Science,
Technological University of the Philippines,
2023.

Includes bibliographical references.

This study aimed to develop a web-based scheduling system using a beehive algorithm for automating the generation of schedules in computer studies courses. The target users of the system include the department head and regular faculty members of the Computer Studies Department. The problem addressed was the time-consuming and manual process of creating schedules, which often leads to inefficiencies and errors. The solution was to create an automated system that could generate schedules based on provided information.
The system was developed using Hypertext Preprocessor (PHP) code for the backend, and various user interfaces were designed to facilitate the scheduling process. Through functionality and usability testing, the system demonstrated its effectiveness in generating schedules accurately and providing a user-friendly interface. The evaluation results showed that the system achieved highly acceptable ratings in terms of functionality
(3.40), reliability (3.26), usability (3.35), efficiency (3.44), and maintainability (3.31).
The grand weighted mean rating was 3.35, indicating a highly acceptable system. The findings indicated that the developed scheduling system significantly reduced the time and effort required for schedule creation and improved overall efficiency. The system's user-friendly interface and efficient scheduling capabilities contributed to its success in enhancing the scheduling process for faculty members. In conclusion, the automated scheduling system using the beehive algorithm proved to be a valuable tool for the Computer Studies Department. It effectively addressed the problem of manual schedule creation and provided a reliable solution for generating accurate schedules. The system's high ratings in functionality, reliability, usability, efficiency, and maintainability further validated its effectiveness. Future enhancements could focus on expanding the system's scope to include other departments and incorporating more personalized customization features based on user preferences.--Author's Abstract.

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