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All Journal JURNAL KIMIA SAINS DAN APLIKASI JURNAL ISTEK Akta Kimia Indonesia Jurnal Kartika Kimia Science Midwifery Jurnal Buana Farma Coreid Journal The Indonesian Journal of Computer Science al Kimiya : Jurnal Ilmu Kimia dan Terapan
Atthar Luqman Ivansyah
Jurusan Kimia, FMIPA Institut Teknologi Bandung
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Dentistry Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Veterinary

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Journal : The Indonesian Journal of Computer Science

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Akurasi Metode Mesin Pembelajaran dalam Analisis Variabel Penting Faktor Risiko Sindrom Down Palit, Oscar Oleta; Dhenanta, Rafi Prayoga; Susanto, Agnes Indarwati; Syawly, Adzky Matla; Ivansyah, Atthar Luqman; Santika, Aditya Purwa; Arifyanto, Mochamad Ikbal; Muttaqien, Fahdzi
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4354

Abstract

This study aims to identify risk factors for Down syndrome using machine learning methods. Data were obtained from an epidemiological case-control study conducted at Special Needs Schools in the cities and regencies of Tangerang. Methods used include Random Forest, K-Nearest Neighbors, Support Vector Machine (SVM), Naive Bayes, K-Means, Artificial Neural Network (ANN), and Multi-Layer Perceptron (MLP). The results indicate that maternal age, paternal age, and the time interval of parents' work before the child's birth are the most influential factors in the incidence of Down syndrome. The SVM method achieved the highest accuracy of 76% with data categorized into two groups and using important variables. In addition to SVM, Naive Bayes and Random Forest methods also demonstrated good performance for analyzing epidemiological data with case-control types.
Co-Authors Amelia, Silmi Rahma Ani Sri Wahyuni Arifyanto, Mochamad Ikbal Bio Insan Akbar Dede Suhendar Dhenanta, Rafi Prayoga Enggelina, Nia Natalia Falena, Pretty Fitriani, Nita Dwi Ginawanti Maulida Gunawan Gunawan, Untung Irlianto, Kellie M. Jamal Abdul Nasir Muhammad Yogi Saputra Muttaqien, Fahdzi Neng Hani Handayani Palit, Oscar Oleta Prasetyanto, Eko Adi Ravli Maulana Yusuf Refsya Azanti Putri Santika, Aditya Purwa Silmi Rahma Amelia Soni Setiadji Sundari, Citra Deliana Dewi Susanto, Agnes Indarwati Syawly, Adzky Matla Tety Sudiarti Tety Sudiarti Windasari, Liska Yustiarini, Riska Cindi Yusuf Rohmatulloh