Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Elekterika
Muh. Ahyar
Politeknik Negeri Ujung Pandang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pengolahan Citra Untuk Simulasi Deteksi Kantuk Dengan Metode Cascade Classifier dan Black-White Ratio Mardawia Mabe Parenreng; Muh. Ahyar; Mardhiyah Nas; Nurul Khaerani Hamzidah
Jurnal Teknologi Elekterika Vol 18, No 2 (2021): Nopember
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v5i2.3258

Abstract

Pengolahan gambar atau dengan istilah lain yaitu pengolahan citra telah banyak dimanfaatkan diberbagai bidang antara lain bidang Kesehatan, bidang pertanian,,dan juga untuk keselamatan hidup manusia salah satunya adalah deteksi kantuk. Deteksi kantuk ini dapat dimanfaatkan untuk pengendara kendaraan bermotor. Dalam mendeteksii seseorang mengantuk dilakukan dengan mengambil sampel citra mata berkedip per satu menit dengan memperhatikan kondisi lingkungan sekitar, factor intensitas cahaya, kualitas kamera dan ukuran proporsional. Simulasi deteksi kantuk menggunakan metode cascade classifier dan Black-White ratio. Dengan tahapan pengambilan sample citra menggunakan webcam secara real time, pembuatan simulasi program dan dilakukan pengecekan indicator keberhasilan simulasi. Diperoleh hasil kondisi mengantuk dengan jumlah kedipan sebanyak 27 kali dan tidak mengatuk dengan jumlah kedipan 7 kali dengan waktu selama 60 detik
A Python-based web application firewall for SQLi protection in heterogeneous web server environments Muhammad Nur Yasir Utomo; Eddy Tungadi; Muh. Ahyar
Bulletin of Electrical Engineering and Informatics Vol 15, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i5.11638

Abstract

Structured query language injection (SQLi) remains one of the most critical threats to web applications. Conventional web application firewall (WAF) such as ModSecurity provide protection but face limitations in heterogeneous environments and often require additional configurations on web servers. This issue is problematic because adding new configurations demands considerable effort and may disrupt stable services. To address this challenge, this research proposes PyWAF, a Python-based WAF developed as a reverse proxy that offers flexible protection across heterogeneous web servers against SQLi attacks. PyWAF employs a weighted core rule set (CRS) with a scoring mechanism and gate flags to detect various SQLi patterns. The proposed method was evaluated in compatibility testing and reliability testing across three popular web server environments namely Apache, Nginx, and OpenLiteSpeed. The reliability evaluation utilized 30 SQLi payloads across three different scenarios, namely GET, POST, and API payload. The results of compatibility test show that the proposed method achieved seamless integration with all web servers without requiring additional server configuration. In term of reliability, PyWAF successfully blocked 100% of SQLi attacks, while ModSecurity blocked 88.9%, demonstrating an improvement of 11.1% in SQLi detection capability.
Co-Authors Mardawia Mabe Parenreng Mardhiyah Nas Muhammad Nur Yasir Utomo Nurul Khaerani Hamzidah TUNGADI, EDDY