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All Journal jurnal niara JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Media Ilmu Kesehatan Jurnal Ilmiah Ekonomi Global Masa Kini Jurnal Informasi dan Teknologi Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Evaluasi dan Pembelajaran Jurnal Bina Ilmu Cendekia Jurnal Pendidikan dan Teknologi Indonesia ARBITRASE: JOURNAL OF ECONOMICS AND ACCOUNTING Multica Science and Technology Jurnal Keperawatan MINERAL JAKTABANGUN: Jurnal Akuntansi dan Pembangunan Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Keperawatan Notokusumo "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Jurnal Malikussaleh Mengabdi Zona Kebidanan : Program Studi Kebidanan Universitas Batam Journal of Health Research and Technology Jurnal Penelitian Keperawatan INOVTEK Polbeng - Seri Informatika
Maryana
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Multica Science and Technology

 1 
CLASSIFICATION OF COLOR BLIND STUDENTS AT SMA NEGERI 1 LHOKSEUMAWE USING NAÏVE BAYES ALGORITHM Rozzi Kesuma Dinata; Maryana; Sujacka Retno; Gadis Ayu Sofiana
Multica Science and Technology Vol 3 No 1 (2023): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v3i1.425

Abstract

This research aims to classify students and determine eye conditions with normal and partial color blindness by using Naïve Bayes algorithm. The research dataset was obtained from students at SMA Negeri 1 Lhokseumawe. The variables used in this research were 24 Plate Ishihara Tests with data collection techniques by using interviews, literature studies and questionnaires. Total data in this research are 140 data and divided into 110 training data and 30 testing data. The results showed that from 110 data trained, there were 69 students included in the normal group and 41 students included in the partial group. Then, the 30 testing data were tested into the classification system for color blind students using Naïve Bayes Algorithm. The accuracy level of the test results was 86.67% and 13.33% error.
Co-Authors Aan Devianto Abdillah, Ahmad Fauzi Anggraini, Rima Berti Aprilia Rizky Arifiani Ardiansyah Asrianda Asrianda Berdina, Agnes Nona Bustami Cut Agusniar cut muftia keumala Damayanti, Ita Dasmi Husin Deka Oktaviana Dilariya Dina Lesmana Eka Chyntia Eko Suryani Erwanto, Fredi Eva Darnila Gadis Ayu Sofiana Hana Ningtias Hardiansyah Hasya Syakira Helen Kristeti Irfan Izura Rochma Keumala, Cut Muftia Kushendar, Deden Hadi Leni Maszura Lucky Herawati Luthviana Hafizah M. Rasyidin M. Safar M. SALEH Maghriza, Irna Ari Melidza Lestari Melly, Melly Yani MMSI Irfan ,S. Kom Mochamad Ari Saptari Muhammad Adib Alfathin Muhammad Ridha Mutammimul Ula Muzakir Muzakir Nisak, Fazlun NOVA Nova Mardiana, Nova Nugrahani, Andita Nurdin Nurdin Nurfaiza Nurvinanda, Rezka Pandit Sarosa Purnajaya, Heri Putri Novianti Rahmatillah Risqi Utami Ritonga, Maya Syarah Rozzi Kesuma Dinata Safwandi Salsabila, Cut Syahira Saputra, Muhammad Jihad Sara Dila Sarka Ade Susana Shalawati Siti Hardianti, Siti Siti Maisyarah Sri Ariani Suhardjono Sujacka Retno Susana, Sarka Ade Suzarli Syibral Malasyi T. Marzila Fahnawal Ubah Swasono Basuki Vika Septyan Febrianto Winatun Nafis Yenni Aryaneta Yuliza Febrina Yulleila Zaehol Fatah Zulfikar Zuraida