Kategorisasi Kemampuan Literasi Matematika Siswa SMP Negeri Se-Kota Kupang Berbantuan Fuzzy Inference System Metode Mamdani

Daniel W. Fointuna, A. H. Kaluge, A. J. Fernandez
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引用次数: 2

Abstract

This survey aims to describe the mathematical literacy of state junior high school students in Kupang city, East Nusa Tenggara province. It was done not only due to the low achievement of Indonesian 15-year-old students in PISA but also because there are no surveys which had been done before to map the mathematical literacy of students in Kupang city. A total of 377 respondents who were the ninth grade students representing six state junior high schools in Kupang were collected by two-stage cluster randomized sampling. The students were assessed using fifteen problems adopted from PISA 2012 and some development researches with a product of mathematical literacy problems so that those items were highly reliable to measure students mathematical literacy. The categorization of students mathematical literacy was carried out using Mamdani’s Fuzzy Inference method. The input of fuzzification was a score of three process domains assessed by those fifteen problems, specifically formulating, employing, and interpreting. The output of defuzzification was students mathematical literacy score used to determine the category of students mathematical literacy. The results showed that the mathematical literacy of state junior high school students in Kupang city was generally classified as a low category.
对库邦市公立小学学生数学素养能力进行分类
本调查旨在描述东努沙登加拉省古邦市国家初中学生的数学素养。这样做不仅是因为印尼15岁学生在国际学生评估项目中的成绩较低,而且还因为以前没有做过调查来绘制古邦市学生的数学素养。采用两阶段整群随机抽样的方法,共收集了377名九年级学生,代表古邦六所州立初中。学生的评估采用了PISA 2012中的15个问题和一些发展研究的数学素养问题的产品,这些项目是高度可靠的衡量学生的数学素养。运用Mamdani模糊推理法对学生数学素养进行分类。模糊化的输入是由这15个问题评估的三个过程域的分数,具体来说是表述、使用和解释。去模糊化的输出是学生数学素养分数,用来确定学生数学素养的类别。结果表明,古邦市国家初中生的数学素养总体上处于低水平。
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