International Journal Technology and Business
https://ijtb.esqbs.ac.id/index.php/IJTB
<p style="text-align: justify;"><span id="result_box" class="" lang="en"><strong>IJTB: INTERNATIONAL JOURNAL OF TECHNOLOGY AND BUSINESS</strong> published by LPPM ESQ BUSINESS SCHOOL. IJTB is published twice a year, March and October. IJTB includes research in the field of </span><span id="result_box" class="" lang="en"><span class="">Management and Economics: Character Building Management, Corporate responsibility, Ethics and Accountability, Social Entrepreneurship, Resources Management & Sustainable Development, Managing Technology & Innovation, Artificial Intelligent, Data Mining, Machine Learning, Deep Learning, Computer Networks, Computer Security, Software Engineering, Accounting & Finance, and Economics.</span><span class=""><br /></span></span></p> <p style="text-align: justify;"> </p>INTERNATIONAL JOURNAL OF TECHNOLOGY AND BUSINESSen-USInternational Journal Technology and Business2597-4629The Implementation of Support Vector Machine Method for Heart Disease Classification
https://ijtb.esqbs.ac.id/index.php/IJTB/article/view/353
<p>Heart attack is one of the deadliest diseases recorded worldwide, with a reported 43.32% incidence and a mortality rate of 12.91%. In 2013, there were 61,682 cases of heart disease in Indonesia. The number of patients with this disease continues to rise, primarily due to a lack of knowledge or information about heart disease. Therefore, there is a need for a system that can provide information and early disease classification. This system can be used for classification when someone wants to know information or early symptoms of a heart attack. Classification involves creating a model used for grouping objects with similar characteristics into a predetermined class. One classification method is the Support Vector Machine (SVM). Hence, this research utilizes the SVM classification algorithm with the Radial Basis Function (RBF) kernel. The data consists of 200 samples obtained from the Nabire District Health Office in Papua. The testing phase involves using K-fold Cross Validation</p>Ahlijati NuraminahIwan Sinanto AteMuhammad Fuad Zikri
Copyright (c) 2024 International Journal Technology and Business
2024-02-022024-02-024110.46371/ijtb.v4i1.353
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