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Thesis Examination Timetabling using Genetic Algorithm

机译:基于遗传算法的论文考试时间表

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Thesis examination is one of the requirements to complete a graduation course. At the Department of Informatics Engineering Universitas Surabaya, thesis examination begins with organizing the exam timetable to determine the time, examiner, and room by using traditional scheduling system. The disadvantage of the system is that the process takes a relatively long time, which is influenced by factors such as the lecturer's work schedule and the availability of the room. Program coordinator responsible for the organization of the thesis timetable must perform a thorough analysis so that the schedule does not clash with the teaching schedule and the availability of the room. In addition, the number of lecturers as examiner between one and the other has to be distributed equally. To facilitate the program coordinator, a web-based system using genetic algorithm was developed for the efficiency of thesis examination timetabling. Testing and evaluation process are conducted by taking a random respondent in accordance with the user category. The results show that the system developed can improve the efficiency of time, effort, and cost.
机译:论文考试是完成毕业课程的要求之一。在泗水大学信息工程系,论文考试从组织考试时间表开始,使用传统的计划系统确定时间,考官和房间。该系统的缺点是该过程花费相对较长的时间,这受诸如讲师的工作时间表和房间可用性等因素的影响。负责安排论文时间表的计划协调员必须进行彻底的分析,以使时间表与教学时间表和教室的可用性不冲突。此外,彼此之间作为讲师的讲师人数必须平均分配。为了方便程序协调员,开发了基于网络的遗传算法系统,以提高论文考试时间表的效率。测试和评估过程是通过根据用户类别随机抽取受访者来进行的。结果表明,开发的系统可以提高时间,精力和成本的效率。

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