Journal of Soft Computing Exploration
Vol. 5 No. 2 (2024): June 2024

Classification of residual hearing of deaf students based on audiometer using google data studio visualization method

Amril Samosir (Universitas Malahayati)
Sulistiyanto Sulistiyanto (Politeknik Negeri Sriwijaya, Indonesia)
Sony Oktapriandi (Politeknik Negeri Sriwijaya, Indonesia)
M Muhammad (Universitas Malahayati, Indonesia)



Article Info

Publish Date
19 Jun 2024

Abstract

Classification of hearing loss is necessary because it provides treatment or learning methods for students which are certainly not the same. This classification is displayed in a graphical form because graphics are able to provide information quickly. The results of this writing are information in the form of visualization of the residual hearing which is grouped according to the decibels or residual hearing they have. Patterns that will be applied in learning will later be adjusted based on classification, so that students can comfortably follow the learning process. When creating this visualization, use Google Data Studio because it can be used to represent complex data sets in an interesting and clear way. The data used are data on deaf students for 2014-2021, with a total of 357 data and 14 attributes. The results of data processing are in the form of graphs of students for each generation, distribution of student demographics, and classification of student hearing measurement results. From the visualization results, 3 categories were obtained, with the results being 9 light categories,, 129 medium categories and 219 heavy categories. The mild category will receive oral treatment, while the moderate and severe categories will be given sign language and written treatment

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Journal Info

Abbrev

joscex

Publisher

Subject

Computer Science & IT

Description

Journal of Soft Computing Exploration is a journal that publishes manuscripts of scientific research papers related to soft computing. The scope of research can be from the theory and scientific applications as well as the novelty of related knowledge insights. Soft Computing: Artificial ...