Implementation of Artificial Neural Networks In Predicting Students ‘English Understanding Level Using The Backpropagation Method

Septri Wanti Siahaan (STIKOM TUNAS BANGSA PEMATANGSIANTAR)
Kristin Daya Rohani Sianipar (STIKOM TUNAS BANGSA PEMATANGSIANTAR)
Iin Parlina (STIKOM TUNAS BANGSA PEMATANGSIANTAR)

Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE)
Vol 1, No 2 (2020)

English is a language that unites humans in communicating with others. The existence of language differences can make it difficult for people to understand each other in dialogue. Therefore, the role of English is very useful to unite human communication. In this case, researchers make research to predict the level of understanding of students in English. Predicting the level of understanding of students in English is needed to determine the level of ability or understanding of students in English so that students can further enhance student abilities. English is very necessary for students to support a bright future. In this study implements the Artificial Neural Network in conducting research and applying the bacpropagation method in it. To complete this study, researchers used several criteria, namely: Reading References, Hearing from the Environment, Practicing, Utilizing Technology. Of the four criteria using the backpropagation method is useful for training in predicting the level of understanding of students in English. The results of this research test get that the level of understanding of students in English is with the level of accuracy and architectureKeyword : Artificial Neural Network; Prediction; English; Level of Understanding; Backpropagation.English is a language that unites humans in communicating with others. The existence of language differences can make it difficult for people to understand each other in dialogue. Therefore, the role of English is very useful to unite human communication. In this case, researchers make research to predict the level of understanding of students in English. Predicting the level of understanding of students in English is needed to determine the level of ability or understanding of students in English so that students can further enhance student abilities. English is very necessary for students to support a bright future. In this study implements the Artificial Neural Network in conducting research and applying the bacpropagation method in it. To complete this study, researchers used several criteria, namely: Reading References, Hearing from the Environment, Practicing, Utilizing Technology. Of the four criteria using the backpropagation method is useful for training in predicting the level of understanding of students in English. The results of this research test get that the level of understanding of students in English is with the level of accuracy and architectureKeyword : Artificial Neural Network; Prediction; English; Level of Understanding; Backpropagation.