基于线性回归的学习调度优化

Naufal Falaah Nduru, Akim M.H Pardede, Anton Sihombing
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引用次数: 0

摘要

计划是一个过程,方法,制造,或计划,包括在计划(KBBI)。在制定学习计划的过程中,通常需要的计划需要教师任务分工中的各种支持因素。在此基础上,努力促进学习时间表,以优化活动,从而提高生产力和有效性。为了开展传统的、长期的学习活动,同时在两个或两个以上不同教室进行教学安排的教师必须根据教师的指导,通过改变各自的时间表或减少教学时间来进行修改。在SD S Muhammadiyah Sambirejo,这是一所位于Langkat Regency Binjai区Sambirejo村的学校,在这所学校有几位教育工作者和教育人员,我重点研究的是学习日程安排的案例,所以学校的教学活动必须注意学习日程,避免冲突。这使得制定学习计划更容易。使用的方法是线性回归作为学习调度的优化。采用线性回归对共10个预测数据进行分析,确定预测结果值为2.0063334474495,对线性回归方法在优化学习调度中的检验结果,得到了冲突小时数的数据结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization Of Learning Scheduling Using Linear Regression
Scheduling is a process, method, manufacture, or schedule to be included in the schedule (KBBI). Scheduling that is needed in general and that occurs at one point of education in making study schedules requires various supporting factors from the division of teacher tasks. Based on this, efforts to facilitate learning schedules are made to optimize an activity so as to increase productivity and effectiveness.To carry out learning activities that are carried out conventionally and for a long time, teachers who have teaching schedules in two or more different classrooms at the same time must be revised by changing their respective schedules or reducing the hours that occur as guided by the teacher. At SD S Muhammadiyah Sambirejo, which is a school located in Sambirejo Village, Binjai District, Langkat Regency, and has several educators and educational staff at this school, I focus on the case study of learning scheduling, so that teaching and learning activities in a school must pay attention to the learning schedule and avoid clashes. This makes it easier to prepare a study schedule. The method used is linear regression as an optimization of learning scheduling. The results of testing the linear regression method in optimizing learning scheduling using linear regression with a total of 10 forecasting data as analysis and determining the forecasting result value of 2.0063334474495 obtained data results with the number of conflicting hours.
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