Informasi Umum

Kode

24.04.5630

Klasifikasi

005.118 - VISUAL PROGRAMMING

Jenis

Karya Ilmiah - Skripsi (S1) - Reference

Subjek

Digital Forensics

Dilihat

99 kali

Informasi Lainnya

Abstraksi

Online learning is one of the learning methods implemented by many educational institutions. One of the implementations is the online English Proficiency Test (EPT) with Moodle LMS as the examination platform. However, in practice, some cheating still occurs, and many examinees in the online EPT exam make it challenging to analyze the data and detect cheating. Knowing this problem, this paper proposes a log analyzer framework that could detect cheating in online EPT exams in real time using log data as the analysis data. While also implementing proactive forensic practices and digital forensics readiness in the system. The waterfall method was adopted to develop the log analyzer framework by developing the capability of data acquisition and replication, identifying features that can indicate cheating, implementing isolation forest machine learning models for cheating detection, and reporting the analysis results from data that can be used for further processing. The functional test of the system states that the log analyzer framework’s ability to acquire data, detect cheats, and create reports is functioning successfully. These functions demonstrate the log analyzer’s ability to strengthen the security of online EPT examinations.

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Koleksi & Sirkulasi

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Pengarang

Nama QAIS KALYANA LINTANG
Jenis Perorangan
Penyunting Niken Dwi Wahyu Cahyani, Muhammad Arief Nugroho
Penerjemah

Penerbit

Nama Universitas Telkom, S1 Informatika
Kota Bandung
Tahun 2024

Sirkulasi

Harga sewa IDR 0,00
Denda harian IDR 0,00
Jenis Non-Sirkulasi

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