Jurnal Nasional Teknologi Komputer

Analisis Deteksi Kecurangan Ujian Online Dengan Sistem Pakar Berbasis Event Browser Tanpa Kamera

2026-01-08T22:09:12+07:00

The implementation of online exams differs significantly from exams supervised directly by proctors. Participants' body movements and interactions can be easily read. Even with camera monitoring, participants can still easily switch browser tabs or open applications on their devices. On the other hand, camera-based proctoring solutions can also raise invasive privacy concerns. Furthermore, device limitations can hinder someone from taking the exam due to the lack of a camera, and bandwidth limitations can result in unstable connections during the exam. Sample log activity data from test participants for log_id ranges from 44790 to 46883, while the actions consist of fullscreen_exit, context_switch, standby_log, focus_return, fullscreen_enter, and devtools_open. The results and rules of this test have scores, with each result having an average value of 1, and the rules having an average value of 1-10. In this process, experts assess each detection result using a binary scheme: a score of 1 is given if the expert system's conclusion matches the expert's decision, and a score of 0 is given if the expert system's decision does not match the expert's decision. This study proposes an expert system framework with a cameraless forward chaining method running on the Google Chrome browser (desktop and Android) as decision support. The system utilizes browser event telemetry (visibility changes, fullscreen, standby) that aligns with existing policies, such as mandatory fullscreen mode, copy/paste blocking, and question blurring when exiting fullscreen or a visibility change occurs. This can generate an audit trail that can be audited by decision makers.

PENGEMBANGAN SISTEM PENJUALAN SEPATU BERBASIS WEB SEBAGAI MEDIA E-BUSINESS PADA UMKM

2026-01-02T20:05:54+07:00

implementasi E- Commerce pada toko sepatu seven production. penelitian ini bertujuan meningkatkan efisiensi pengelolaan penjualan sepatu, serta mengatasi beberapa tantangan yang dihadapi dan merancang pemrograman suatu website E-Commerce dimana seven production dapat melakukan promosi pemasaran secara online serta meningkatkan penjualan. Sistem yang dikembangkan memastikan transparansi, keakuratan data, dan efektivitas proses bisnis, sehingga dapat memberikan solusi bagi toko sepatu seven production. Hasil penelitian menunjukkan bahwa sistem informasi ini berhasil mengoptimalkan pengelolaan penjualan sepatu. Dengan adanya sistem ini, setiap proses bisnis di toko sepatu seven production berjalan efektif dan mendukung prinsip-prinsip didalan penjualan online. seven production harus mengetahui keinginan atau kebutuhan pelanggan sehingga konsumen tidak susah lagi mencari atau membeli produk pada seven production

Pengembangan Protokol TEBAS (Teliti, Evaluasi, Blokir, Amankan, Sampaikan) sebagai Kerangka Mitigasi Serangan Social Engineering Berbasis Komunitas

2026-01-24T21:44:35+07:00

In the contemporary cybersecurity landscape, the attack paradigm shift from exploiting technical vulnerabilities to manipulating human psychology (social engineering) has reached a critical level. The 2024 and 2025 annual reports from various global and national security authorities indicate that traditional defense mechanisms centered on the technical perimeter are no longer sufficient to stem the tide of attacks targeting the user's cognitive layer. This paper proposes the development and formalization of a new mitigation protocol, TEBAS (Research, Evaluation, Block, Secure, Deliver). This protocol was designed using the Design Science Research (DSR) methodology to address the specific needs of Indonesia's digital ecosystem, characterized by a highly communal culture but facing a significant digital literacy gap. TEBAS integrates human-centric cybersecurity principles with global standard frameworks such as the NIST Cybersecurity Framework 2.0, but is adapted into operational procedures that can be implemented by individuals and communities. Through an in-depth analysis of current attack vectors such as Quishing (QR Code Phishing) and Deepfake Vishing, and validation using a modified Delphi method, this study demonstrates that TEBAS offers a holistic approach that focuses not only on individual detection but also on collective resilience through a community-based intelligence-sharing mechanism ("Convey").