Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Informatika Teknologi dan Sains (Jinteks)
Prasetyo, Muhammad A'an
Unknown Affiliation
Computer Science & IT Control & Systems Engineering

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

Found 1 Documents
Search

 1 
OPTIMASI ALGORITMA NAIVE BAYES BERBASIS KERNEL UNTUK KLASIFIKASI PENYAKIT HATI Prasetyo, Muhammad A'an; Zyen, Akhmad Khanif; Kusumodestoni, R. Hadapiningradja
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 3 (2024): EDISI 21
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i3.4783

Abstract

Liver disease is a serious health problem that requires early and accurate diagnosis. This study develops and evaluates a kernel-based Naive Bayes algorithm for liver disease classification, comparing it with standard Naive Bayes. A dataset from Kaggle was used, covering a wide range of medical variables. After data preprocessing, both models are trained and evaluated using standard metrics. Results show significant improvements over the kernel-based model, with accuracy reaching 99% compared to 80% for the standard model. Feature importance and learning curves analysis is carried out for deeper understanding. This study demonstrates the great potential of using kernel-based Naive Bayes in improving liver disease diagnosis, which may contribute to improved clinical outcomes and quality of patient care.
Co-Authors Akhmad Khanif Zyen, Akhmad Khanif R Hadapiningradja Kusumodestoni