Automating and optimizing timetable on Muntinlupa Elementary School using firefly swarm algorithm/ Euclide Andrae F. Arroyo, Camila D. Funclara, Elijah Raven G. Padlan, and Genesis Dane C. Pallarco

By:

Arroyo, Euclide Andrae F [author ]

Contributor(s):

Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2024.Description: ix, 59pages: 29cm. +1 CD-ROM (3/4in.)Content type:

Media type:

Carrier type:

Subject(s):

Firefly swarm Algorithm

LOC classification:

BTH QA 76 A77 2024

Dissertation note: College of Science-- Bachelor of Science in Computer Science: Technological University of the Philippines, 2024. Summary: ABSTRACT Manual scheduling at Muntinlupa Elementary School has caused inefficiencies and conflicts in timetables. Teachers’ schedules were not optimized, and conflict in class schedules were prominent in manual scheduling. This research automates and optimizes the school's timetable using the Firefly Swarm Algorithm to help the Muntinlupa Elementary School optimize the teachers' schedules and classes per grade level. A quantitative approach with historical data was employed to develop and test a simulation model. Findings show that the algorithm significantly reduces conflicts and improves resource allocation. The automated system is adaptable and scalable, proving more effective than manual methods. The study concluded that the Firefly Swarm Algorithm enhances timetable efficiently, promoting a more organized educational environment for both teachers and students.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76 A77 2024 (Browse shelf(Opens below))	c.1.	Not for loan		BTH0004929

Thesis (undergraduate)

College of Science-- Bachelor of Science in Computer Science: Technological University of the Philippines, 2024.

Includes bibliography.

ABSTRACT

Manual scheduling at Muntinlupa Elementary School has caused inefficiencies and conflicts in timetables. Teachers’ schedules were not optimized, and conflict in class schedules were prominent in manual scheduling. This research automates and optimizes the school's timetable using the Firefly Swarm Algorithm to help the Muntinlupa Elementary School optimize the teachers' schedules and classes per grade level. A quantitative approach with historical data was employed to develop and test a simulation model. Findings show that the algorithm significantly reduces conflicts and improves resource allocation. The automated system is adaptable and scalable, proving more effective than manual methods. The study concluded that the Firefly Swarm Algorithm enhances timetable efficiently, promoting a more organized educational environment for both teachers and students.

There are no comments on this title.

to post a comment.