000			02052nam a22002897a 4500
003			OSt
005			20240820134858.0
008			240820b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH QA 76 _bA77 2024
100			_aArroyo, Euclide Andrae F. _eauthor
245			_aAutomating and optimizing timetable on Muntinlupa Elementary School using firefly swarm algorithm/ _cEuclide Andrae F. Arroyo, Camila D. Funclara, Elijah Raven G. Padlan, and Genesis Dane C. Pallarco
260			_aManila: _bTechnological University of the Philippines, _c2024.
300			_aix, 59pages: _c29cm. _e+1 CD-ROM (3/4in.)
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aThesis (undergraduate)
502			_aCollege of Science-- _bBachelor of Science in Computer Science: _cTechnological University of the Philippines, _d2024.
504			_aIncludes bibliography.
520			_aABSTRACT 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.
650			_aFirefly swarm Algorithm
700			_aFunclara, Camila D. _eauthor
700			_aPadlan, Elijah Raven G. _eauthor
700			_aPallarco, Genesis Dane C. _eauthor
942			_2lcc _cBTH COS _n0
999			_c28901 _d28901