TAILIEUCHUNG - Model detecting learning styles with artificial neural network

This research starts with the prior knowledge generation process using the Latent Semantic Indexing (LSI) method. LSI is a technique using Singular Value Decomposition (SVD) to find meaning in a sentence. LSI works to generate the prior knowledge of each learner. After the prior knowledge is raised, then one can predict learning style using the artificial neural network (ANN) method. The results of this study are more accurate than the results of detection conducted with an external approach. | Journal of Technology and Science Education JOTSE, 2019 – 9(1): 85-95 – Online ISSN: 2013-6374 – Print ISSN: 2014-5349 MODEL DETECTING LEARNING STYLES WITH ARTIFICIAL NEURAL NETWORK Muhammad Said Hasibuan1,2 1Department , Lukito Edi Nugroho1 , Paulus Insap Santosa1 of Electrical Engineering and Information Technology, University Gadjah Mada (Indonesia) 2Institute Business and Informatics Darmajaya (Indonesia) , lukito@, insap@ Received September 2018 Accepted November 2018 Abstract Currently the detection of learning styles from the external aspect has not produced optimal results. This research tries to solve the problem by using an internal approach. The internal approach is one that derives from the personality of the learner. One of the personality traits that each learner possesses is prior knowledge. This research starts with the prior knowledge generation process using the Latent Semantic Indexing (LSI) method. LSI is a technique using Singular Value Decomposition (SVD) to find meaning in a sentence. LSI works to generate the prior knowledge of each learner. After the prior knowledge is raised, then one can predict learning style using the artificial neural network (ANN) method. The results of this study are more accurate than the results of detection conducted with an external approach. Keywords – Detection learning style, Latent semantic indexing, Artificial neural network. To cite this article: Hasibuan, ., Nugroho, ., & Santosa, . (2019). Model detecting learning styles with artificial neural network. Journal of Technology and Science Education, 9(1), 85-95. ---------- 1. Introduction Current learning models have undergone changes from conventional learning to online learning models; these models are also known as e-learning, online learning, distance learning or web-based tutorials (Santosa, 2015). E-learning is used not only

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