The Analysis of Unbalanced Assignment Problems Using The Kotwal-Dhope Method To Develop A Massive Open Online Course

E. Wulan, A. Pratiwi, Qiqi Yuliati Zaqiah, Mahmud
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引用次数: 1

Abstract

This study discusses the optimal solution of the unbalanced assignment of minimization case in order to develop massive open online course in the Islamic Higher Education by using a new method that is the Kotwal-Dhope Method. The method was formed with the help of the Hungarian method and the Matrix One’s Assignment method was resolves the unbalanced assignment problem with a data size 8x4 which aims to minimize the total costs incurred by an Islamic Higher Education. The optimal solution with the Kotwal-Dhope Method begins by adding a dummy of one, carrying out the division operation of each column with the smallest element, after each row and column has a value of one, perform assignments in condition one so that each lecturer has their own job in develop massive open online course. Based on the results of this study it was found that, lecturer B was assigned to do stage 1 (Defining educational content), lecturer D was assigned to do stage 2 (Production and technical integration), lecturer E was assigned to do stage 3 (Communication), and lecturer H was assigned to do stage 4 (Course Animation and Overview). Then the assignments were: B → 1, D → 2, E → 3, H → 4. From the results of the assignment, the optimal solution for the minimum cost is 18 + 23 + 12 + 20 = 73 unit costs.
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利用Kotwal-Dhope方法分析大规模网络开放课程的不平衡作业问题
本文采用Kotwal-Dhope方法,探讨了伊斯兰高等教育大规模在线开放课程开发中最小化情况下的不平衡分配问题的最优解。该方法是在匈牙利方法的帮助下形成的,矩阵一的分配方法解决了数据大小为8 × 4的不平衡分配问题,旨在使伊斯兰高等教育的总成本最小化。Kotwal-Dhope方法的最优解首先添加一个1的dummy,对每一列进行最小元素除法运算,在每一行和每一列的值都为1后,在条件一下执行作业,使每个讲师在开发大规模在线公开课程时各有所长。根据本研究的结果发现,讲师B被分配到做阶段1(定义教育内容),讲师D被分配到做阶段2(生产和技术集成),讲师E被分配到做阶段3(沟通),讲师H被分配到做阶段4(课程动画和概述)。然后作业是:B→1,D→2,E→3,H→4。由赋值结果可知,最小成本的最优解为18 + 23 + 12 + 20 = 73单位成本。
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