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All Journal Jurnal Manajemen Update CommIT (Communication & Information Technology) Jurnal Pekommas Journal of Consumer Science JOIV : International Journal on Informatics Visualization RABIT: Jurnal Teknologi dan Sistem Informasi Univrab IJIS - Indonesian Journal On Information System Jurnal Ipteks Terapan ComTech: Computer, Mathematics and Engineering Applications Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Tekno Kompak JUTIS : Jurnal Teknik Informatika Journal of Information Systems and Informatics International Journal Of Science, Technology & Management (IJSTM) Dharma Sevanam : Jurnal Pengabdian Masyarakat Jurnal Komunikasi, Sains dan Teknologi (JKST) International Transactions on Artificial Intelligence (ITALIC)
Erick Fernando B311087192
Bina Nusantara University
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Journal : Journal of Information Systems and Informatics

 1 
Comparative Analysis of KNN and Decision Tree Classification Algorithms for Early Stroke Prediction: A Machine Learning Approach Eldora, Karin; Fernando, Erick; Winanti, Winanti
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.664

Abstract

Stroke is the second most deadly disease in the world and the third leading cause of disability. However, most deaths due to stroke can be prevented by recognizing the symptoms of stroke and taking preventive measures using information technology. Therefore, this research utilizes the role of information technology using a machine learning approach to predict stroke in a person using the K-Nearest Neighbor and Decision Tree classification methods. The two algorithms were compared to determine which algorithm was more effective in predicting stroke. Data analysis using the CRISP-DM approach was carried out using a dataset containing 5110 observations with 12 relevant attributes. Implementation of Exploratory Data Analysis (EDA) was also carried out for preprocessing, and oversampling techniques were applied to overcome the problem of unbalanced classes. The research results show that the predictive model with the highest level of accuracy was obtained at around 97.1845% using the K-Nearest Neighbor algorithm. This research makes a significant contribution to stroke prevention efforts through the use of information technology and machine learning algorithms for early identification of stroke risk.
Co-Authors ., Adiyanto ., winanti Agistiawati, Eva Ali Sadikin Andwiyan, Denny Angel, Mary Anugrah, Sandy Basuki, Sucipto Beny Beny Cahyadi, Larissa Belva Chidir, Gusli Clarissa, Eleane Cyrilla Condrobimo, A. Raharto Denny Prabowo, Yulius Derist Touriano Dina Fitria Murad Eldora, Karin Eugenia, Janice Florence Fayzhall, Miyv Faza, Ahmad Fernando, Andhika Fianty, Melissa Indah Firman Anindra Fitriawati, Nora Gatc, Jullend Goestjahjanti, Francisca Sestri Haloho, Heppy New Year Hartati, Ria Hendri Hendri Hetty Rohayani Himmy'azz, Istajib Kulla Kulla Himmy’azz, Istajib Kulla Hulu, Paulinus Hussein Hamid, Muhammad Hutagalung, Dhaniel Ikhsan, Ridho Bramulya Ionia Veritawati Irza, Dhany Kharisma JAINURI, JAINURI Johan, Monika Evelin Juliater Simamarta Karnawi Kamar, Karnawi Kumoro, Dwi Ferdi Cahya Kurniabudi, Kurniabudi Kusumawardani, Fadilla Liga, Wendy Madani, Muchlishina Maspiyanti, Febri Mastra, Riadika Meyliana Meyliana Mulyono, Herry Murtako, Amir Nuraini Sari, Nuraini Nurasiah ., Nurasiah Nurasiah Nurasiah Oktarina, Thina Parlindungan, Davis Roganda Pattymahu, Gracia Christabel Henrietta Po Abas Sunarya Prabowo, Dimas Aditya Rachman, Andi Ridho Riyanto Riyanto Rizfie, Muhammad Dala Setiawan, Johan Siagian, Pandapotan Siagian, Pandapotan Silitonga, Nelson Silvian, Vergio Siti Maesaroh Sri Lestari Sudiyono, Rachma Nadhila Sukriyah, Sukriyah Supiana, Nana Surjandy, Surjandy Suroso Suroso Suseno, Bayu Susetyono, Eko Suwita, Jaka Syabanera, Nasya Dochka Tiara, Beby Tjahjana, David Touriono, Derist Winanti WINANTI, WINANTI Wisnu Murti, Nugroho Wiyono, Nuri Yudhatama, Dhimas Yulia, Yayah Yulius Denny Prabowo, Yulius Denny Yunitasari Yunitasari, Yunitasari Yusuf Yusuf