Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal BIMASAKTI
Priska Madona Rosari Binol
Universitas PGRI Kanjuruhan Malang
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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

Found 1 Documents
Search

 1 
OPTIMASI PARAMETER LOGISTIC REGRESSION UNTUK KLASIFIKASI WEB BERBAHAYA MENGGUNAKAN ALGORITMA FIREFLY Priska Madona Rosari Binol; Danang Aditya Nugraha; Abdul Aziz
Jurnal Fakultas Teknologi Informasi Vol 9 No 1 (2026): BIMASAKTI
Publisher : Prodi Teknik Informatika, Fakultas Sains dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/bimasakti.v9i1.13202

Abstract

The development of technology and information, especially the internet in Indonesia, has experienced rapid growth that has changed the pattern of information consumption among the public. Websites have now become the main means for communication, transactions, and learning. However, the increased use of the web also poses security risks in the form of malicious websites that are often exploited by cybercriminals to steal data or spread malware. Detecting malicious websites becomes a challenge because their appearance resembles normal sites. This research proposes Optimization of Logistic Regression Algorithm Parameters using the Firefly Algorithm to improve accuracy in classifying malicious websites. The dataset used comes from Kaggle with a total of 1,781 data points and 21 attributes. The research process includes data cleaning, normalization using Min-Max Scaler. Data is divided into training and testing sets with several data splits (60:40, 65:35, 70:30, 80:20, 90:10), and evaluation using a confusion matrix. The test results show that the application of the Firefly algorithm can improve the accuracy of the Logistic Regression model, with Firefly enhancing the model's performance in detecting malicious websites.
Co-Authors Abdul Aziz Danang Aditya Nugraha