THE IMPLEMENTATION OF LOGIC FUZZY MAMDANI METHOD AS THE DECISION SUPPORT ON THE GRADUAL SELECTION OF NEW STUDENTS

Dedy Mulyadi
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引用次数: 1

Abstract

Gradual selection of new students at the program of Accountancy Diplome III STIE Binaniaga Bogor thru scholarship procedure using the average method. Minimum expectation of STIE Binaniaga is that the higher the gradual selection result, the better academic performance of the students will be. Applying the average method has not indicated yet the minimum expectation required since there is still the fluctuative academic achievement of the students happened. The research aims to implement the method of logic fuzzy Mamdani accordingly in order to deterimine whether this method can be applied for each gradual selection of new students. Analytical tools have used the comparison one based on the correlation between the academic achievement and the implemention of logic fuzzy Mamdani method at the end of each selection, The correlation between the cumulative achievement index and the final result of the implemention of average method is 0.559. Correlation between the cumulative achievement index and the final result of the implementation of logic fuzzy Mamdani Method is 0.487 which is still less than 0.559. Nevertheless, the conclusion of this result is that the implementation of logic fuzzy Mamdani Method has not yet been able to replace the existing average method. Keywords: gradual selection, comparison, linear correlation, logic fuzzy Mamdani.
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实施逻辑模糊曼达尼法作为逐步选拔新生的决策支持
在Binaniaga茂物会计文凭III STIE通过奖学金程序使用平均方法逐步选择新的学生。STIE Binaniaga的最低期望是渐进式选拔结果越高,学生的学习成绩越好。由于学生的学习成绩仍然存在波动,采用平均法并没有显示出最低期望。本研究旨在据此实施逻辑模糊Mamdani方法,以确定该方法是否适用于每一次逐步选拔新生。在每次选择结束时,分析工具都采用了基于学业成绩与逻辑模糊Mamdani法实施的相关性比较法,累积成绩指数与平均法实施的最终结果的相关性为0.559。逻辑模糊Mamdani法实施后的累积绩效指标与最终结果的相关系数为0.487,但仍小于0.559。然而,这一结果的结论是,逻辑模糊Mamdani方法的实现还不能取代现有的平均方法。关键词:逐步选择、比较、线性相关、逻辑模糊马达尼。
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