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All Journal INTERNAL (Information System Journal) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Digit : Digital of Information Technology Jurnal Difusi INTERNAL (Information System Journal)
Zulkifli Arsyad
Politeknik Negeri Bandung
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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Journal : Jurnal Sistem Komputer dan Informatika (JSON)

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Deteksi Dini Anak Disleksia dengan metode Support Vector Machine Ardhian Ekawijana; Akhmad Bakhrun; Zulkifli Arsyad
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 1 (2022): September 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i1.4776

Abstract

Dyslexia is a brain disorder caused by genetics. People with dyslexia can live a normal life and even have certain advantages if they get the correct education. People with dyslexia often get the predicate stupid because teachers do not know the case of their students. Early detection of dyslexic children can be done with a series of tests so that the system can conclude that the data is dyslexic or not. Support Vector Machine is a data classification method to share dyslexia test results or not. This system is trained with test results data that are already available using the SVM method. This study uses gamification data to detect dyslexic children or not. SVM proves a good level of accuracy in predictions up to 94%.
Co-Authors Ade Hodijah Akhmad Bakhrun Ani Rahmani Ardhian Ekawijana Endang Habinuddin Endang Habinuddin Endang Hatma Juniwati Ida Suhartini Ida Suhartini Joe Lian Min NS Junaedi Rahil Jumiyani Santi Sundari Suhendar, Waway Qodratulloh