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All Journal Algoritme Jurnal Mahasiswa Teknik Informatika
Febi Anwar
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Computer Science & IT

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Model Keamanan Data Berlapis Sistem Rekrutmen Web Berbasis PAPI-Kostick, AES-256-CBC, dan 2FA Febi Anwar; Jusia Amanda Ginting
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 7 No 1 (2026): October 2026 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v7i1.16465

Abstract

This study designs and implements an integrated online recruitment platform utilizing the PAPI-Kostick psychometric assessment to facilitate objective candidate evaluation. To mitigate the risk of PII and CV leakage at the data-at-rest layer, the system enforces a multi-layered security architecture. Developed using the Incremental SDLC model, the system automates the scoring of 90 forced-choice items into 20 work behavior dimensions, which are visualized via interactive radar charts for HRD. Database security is achieved using selective AES-256-CBC encryption with dynamic key management based on HKDF. The authentication layer is reinforced via Bcrypt hashing and OTP-based Two-Factor Authentication (2FA). Performance is validated using Black-box and White-box testing, while usability is measured through User Acceptance Testing (UAT). The UAT results show a satisfaction rate of 91,38%, demonstrating that the platform is reliable, secure, and viable to support professional recruitment decisions without degrading system operational efficiency.
Co-Authors Jusia Amanda Ginting