Introduction to Writing for Children with A K-Nearest Neighbor Approach

Authors

  • Rini Wongso Computer Science Department, School of Computer Science, Bina Nusantara University
  • Violitta Yesmaya Computer Science Department, School of Computer Science, Bina Nusantara University
  • Suryanto Wijaya Computer Science Department, School of Computer Science, Bina Nusantara University
  • Arya Dwi Kurniawan Computer Science Department, School of Computer Science, Bina Nusantara University
  • Mochamad Harsya Joe Andaru Computer Science Department, School of Computer Science, Bina Nusantara University

Keywords:

K-NN, K-Nearest Neighbor, Handwriting Recognition

Abstract

This paper presents the design, development, and evaluation of an innovative mobile application targeted at promoting writing skills among young learners. Learning to write is a basic skill for children at an early age, but acquiring this competency is often a challenging process. The primary aim of this research was to design an application that is child-friendly, interactive, and effective in teaching children how to write. The application was built with a specific focus on aiding children in the journey of learning writing skills starting from individual characters and gradually progressing to words. So that this learning can make it easier for children to understand every letter and word that they can learn to write. The application utilizes the robustness of K-Nearest Neighbor (K-NN) algorithm for the recognition of children's handwriting. The K-NN algorithm was employed as the core engine to recognize and assess the child's handwriting and provide immediate feedback. Based on the results of preliminary testing shows promising results, with improved writing skills and high engagement levels among a group of test students.

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Published

23.02.2024

How to Cite

Wongso, R. ., Yesmaya, V. ., Wijaya, S. ., Kurniawan, A. D. ., & Harsya Joe Andaru, M. . (2024). Introduction to Writing for Children with A K-Nearest Neighbor Approach. International Journal of Intelligent Systems and Applications in Engineering, 12(17s), 609–614. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4926

Issue

Vol. 12 No. 17s (2024)

Section

Research Article

License

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