文章基本信息

标题：Neural Network Model for Mathematic Scores Prediction: Case Study in SMK Negeri Pakis Aji, Jepara, Indonesia
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作者：Adi Sucipto
期刊名称：Jurnal Eksakta
印刷版ISSN：1411-1047
电子版ISSN：2503-2364
出版年度：2020
卷号：1
期号：1
DOI：10.20885/EKSAKTA.vol1.iss1.art5
语种：English
出版社：Jurnal Eksakta
摘要：Aim of this research is to apply Neural Network Algorithm to predict score of mathematic in the national exam. During the time, the teacher only provided national exam materials and additional tryout tests without knowing how to predict the exam scores in mathematics subject. Data mining neural network algorithm obtained \Root Mean Square Error (RMSE) values which were used as basic improvement and clustering class By conducting research using data mining neural network algorithm, it proved that this model can be used to predict scores of Mathematics subject at SMK Negeri 1 Pakis Aji.. The result of this research by using data mining neural network algorithm found RMSE 0138 +/- 0.092. The lower the RMSE values the more accurate the neural network to predict mathematics scores of SMK Negeri 1 Pakis Aji.