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Puspa Ira Dewi Candra Wulan
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DETEKSI JERAWAT PADA WAJAH MENGGUNAKAN METODE VIOLA JONES Haruno Sajati; Yuliani Indrianingsih; Puspa Ira Dewi Candra Wulan
Compiler Vol 5, No 1 (2016): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.202 KB) | DOI: 10.28989/compiler.v5i1.103

Abstract

Acne is a skin disease that most often grow in the face and very disruptive to affect the appearance of a person's face. Viola Jones is one method to help detect acne so someone get information about the state of the face and immediately overcome. Viola Jones Method has three main processes integral image is used to determine whether there is a feature haar particular in an image, the method adaboost machine learning is used to select features haar specific that will be used to adjust the threshold value, and a cascade classifier as the classification of the final determining regions the face in the picture. Testing of 30 samples, the results obtained showed that the method is less accurate Viola Jones is used as a method of detection of acne with results average 25 % the percentage of common acne, blackheads 0 % and 45% of cystic acne. The number of samples used to create xml greatly affect the results of detection.
ANALISIS KEAMANAN WEBSITE E-LEARNING POLITEKNIK BHAKTI SEMESTA BERBASIS VULNERABILITY ASSESSMENT Rivort Pormes; Puspa Ira Dewi Candra Wulan; Danis Putra Perdana; Rofiq Fauzi; Alfian Yuda Syahputra
Jurnal Jarkom Vol. 12 No. 02 (2024): Desember 2024
Publisher : Program Studi Informatika, Fakultas Sains dan Teknologi Informasi, Universitas AKPRIND Indonesia

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Abstract

Penelitian ini menganalisis keamanan situs web e-learning di Politeknik Bhakti Semesta menggunakan pendekatan Vulnerability Assessment and Penetration Testing (VAPT). Penelitian ini mengidentifikasi kerentanan dalam sistem selama fase Pengumpulan Informasi (Information Gathering), dengan memanfaatkan Nslookup, Nmap, dan Testssl.sh. Pada Pemindaian Kerentanan (Vulnerability Scanning) menggunakan Nikto dan OWASP ZAP, ditemukan kelemahan dalam enkripsi TLS/SSL, konfigurasi header keamanan, serta potensi serangan seperti Cross-Site Scripting (XSS) dan Cross-Site Request Forgery (CSRF). Eksploitasi Kerentanan (Vulnerability Exploitation) melibatkan penyuntikan skrip XSS untuk menguji ketahanan sistem. Tools Burp Suite digunakan guna mengakses jalur tertentu, sementara Arjun membantu mengidentifikasi query pada titik akhir URL. Hasil pengujian mengkonfirmasikan adanya risiko keamanan, sehingga menekankan perlunya peningkatan keamanan lebih lanjut dalam sistem.
Co-Authors Alfian Yuda Syahputra Danis Putra Perdana Haruno Sajati Rivort Pormes Rofiq Fauzi Yuliani Indrianingsih