Jurnal Nasional Teknologi Informasi dan Aplikasinya
Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022

Implementasi Algoritma K-Nearest Neighbor (K-NN) dalam Deteksi Dini Penyakit Hepatitis C

Kusuma, Ni Made Rika Padeswari (Unknown)
Astuti, Luh Gede (Unknown)



Article Info

Publish Date
25 Nov 2022

Abstract

According to the World Health Organization (WHO), Hepatitis is an inflammatory condition that can evolve into Cirrhosis or liver cancer. Hepatitis is a disease that is caused by several types of viruses that attack and cause inflammation and damage to the cells of the human liver. Hepatitis C Virus (HCV) is one of the viruses that caused hepatitis and is considered the biggest impact among the other viruses that caused hepatitis. This study uses a classification method with the K-Nearest Neighbor (KNN) algorithm to detect the onset of hepatitis C in patients based on data from the patient’s laboratory checks. The classification method with K-Nearest Neighbor (KNN) algorithm is carried out by comparing the neighbors between test data and train data based on the patient’s medical history. The tuning parameter is used to determine the number of neighbors or the value of K in K-Nearest Neighbor (KNN) which obtains 92% of accuracy, 92% of precision, and 99% of recall with an 80:20 ratio of training data and test data.

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Journal Info

Abbrev

jnatia

Publisher

Subject

Computer Science & IT

Description

JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya) merupakan jurnal yang berfokus pada teori, praktik dan metodologi seluruh aspek teknologi di bidang ilmu dan teknik komputer serta ide-ide produktif dan inovatif terkait teknologi baru dan sistem informasi. Jurnal ini memuat makalah ...