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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Analysis : Journal of Education Hanif Journal of Information Systems Algebra jurnal Ilmu Sosial Al'Adzkiya International of Computer Science and Information Technology Journal
Jannah, Aulia
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Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Journal : Hanif Journal of Information Systems

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Implementation of Fuzzy K-Nearest Neighbor Method in Dengue Disiase Classification Jannah, Aulia; Husaini, Abdillah; Ichsan, Aulia; Azhari, Mulkan
Hanif Journal of Information Systems Vol. 1 No. 2 (2024): February Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v1i2.14

Abstract

Dengue hemorrhagic fever (DHF) is a condition brought on by infection with the dengue virus. DHF is a severe illness with hemorrhagic clinical signs that can result in shock and death. One of the four viral serotypes of the genus Flavivirus is responsible for DHF. DHF symptoms include fever, joint pain, red skin patches, and others that are similar to those of other illnesses. So that there are no errors in illness prediction, strong accuracy and accuracy are required when classifying DHF patients or not. The Fuzzy K-Nearest Neighbor (FKNN) method is used in this study to classify dengue sickness in order to obtain the best classification outcomes. In this investigation, k was searched for eight times, with values of 3,5,7,9,11,13,15, and 20. Each K's accuracy statistics are 75.15, 75.16, 77.58%, 79.51%, 85.01%, 78.14%, and 75.20 percent. K = 13, which has an accuracy score of 85.01%, yields the highest accuracy.
Co-Authors Adinda , Nurul Adinda Lubis, Nurul Darmansah, Tengku Fattah Nasution, Abdul Husaini, Abdillah Ichsan, Aulia Mahardika Abdi Prawira Tanjung Mulkan Azhari Nasution, Iqbal Oktapianingsi, Rama Rambe, Afrizal Silalahi, Liwa Ul Hamdi Sinaga, Hadawiyanti Slalahi, Ghadief Hanbal Sofiyana Nasution, Anggi Sri Wahyuni Ulfa Samosir, Najwa Novia Zauabi, Madar