Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Nasional Teknologi Informasi dan Aplikasinya
Komang Gede Bagus Devit Aditiya
Unknown Affiliation
Computer Science & IT Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analisis Performa Algoritma K-Nearest Neighbor dalam Klasifikasi Penyakit Tumor Otak Komang Gede Bagus Devit Aditiya; I Wayan Santiyasa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 1 (2024): JNATIA Vol. 3, No. 1, November 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v03.i01.p18

Abstract

Brain tumor disease poses a significant health challenge globally, including in Indonesia. Detecting brain tumors early is crucial for effective treatment. In this study, we investigated the performance of the K-Nearest Neighbor (KNN) algorithm in classifying brain tumor disease using brain image data. Our findings reveal that the choice of K value significantly impacts the KNN algorithm's performance. The highest accuracy of 81% was achieved with K=3, while the lowest accuracy of 66% occurred at K=7. On average, across all scenarios, the accuracy was 72.8%. These results underscore the importance of selecting the appropriate K value for optimal classification accuracy in brain tumor disease using the KNN algorithm. 
Co-Authors I WAYAN SANTIYASA