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All Journal Journal of Soft Computing Exploration
Sony Oktapriandi
Politeknik Negeri Sriwijaya, Indonesia
Computer Science & IT

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Journal : Journal of Soft Computing Exploration

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Classification of residual hearing of deaf students based on audiometer using google data studio visualization method Amril Samosir; Sulistiyanto Sulistiyanto; Sony Oktapriandi; M Muhammad
Journal of Soft Computing Exploration Vol. 5 No. 2 (2024): June 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i2.364

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
Co-Authors Amril Samosir M Muhammad Sulistiyanto Sulistiyanto