Abstract

Although still considered as an infant educational institution, Trimex Colleges has already made a name as a school in Laguna, Philippines. Its student population has ballooned that it is now faced with the predicament of addressing concerns like course-loading of faculty according to their time and day preferences and most especially accommodating students who thirsts for academic excellence on its available classrooms. The study entitled “Predictive Analytics Implementing Genetic Algorithm on Class Scheduling System” was made on purpose to be able to address all these concerns. The system could easily generate class schedules and faculty course loading at a minimal time. It can also predict whether or not a course will be divided into sections based on the data acquired from the previous terms. The results of the software evaluation proved that the system met the objectives of the study and can be of great help for the school.

Highlights

  • The system could generate class schedules and faculty course loading at a minimal time

  • The results of the software evaluation proved that the system met the objectives of the study and can be of great help for the school

  • As per the Authors, to build up this Predictive Analytics Implementing Genetic Algorithm on Class Scheduling System [1] that will anticipate if an explicit subject should be partitioned into areas with the goal that each classroom won't surpass its most extreme limit

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Summary

DESIGN OF THE STUDY

Results of a string of interviews conducted by the proponents in at least four schools reveal that persons in charge of schedules share the same sentiments, that is, personal preferences of part-time teachers and room shortages. For purposes of this study, he should be referred to here as Program Scheduler. The study entitled “Predictive Analytics Implementing Genetic Algorithm on Class Scheduling System” was made on purpose to be able to address all these concerns. The system could generate class schedules and faculty course loading at a minimal time. It can predict whether or not a course will be divided into sections based on the data acquired from the previous terms. Class Scheduling System Implementing Predictive Analytics Using Genetic Algorithm. There will be clients like the Administrator, who regulate clients account, the age of calendar, the room the board, and deal with the reports

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