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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) ANGON: Journal of Animal Science and Technology
Nugroho, Agung Prasetyo
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Immunology & microbiology

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KADAR TOTAL VFA DAN N-NH3 PADA PAKAN RUMINANSIA DENGAN PENGGUNAAN LEGUMINOSA POHON YANG BERBEDA BEBAGAI SUMBER PROTEIN SECARA INVITRO Ifani, Merryafinola; Gunawan, Andran Amar; Nugroho, Agung Prasetyo
ANGON: Journal of Animal Science and Technology Vol 4 No 3 (2022): ANGON: Journal of Animal Science and Technology
Publisher : Fakultas Peternakan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1021.041 KB) | DOI: 10.20884/1.angon.2022.4.3.p322-327

Abstract

Perancangan Sistem Single Sign-On (SSO) Berbasis QR Code pada PT.XYZ dengan Pendekatan Model Waterfall untuk Lingkungan Korporasi Nugroho, Agung Prasetyo; David, Felix
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5273

Abstract

Hundreds of systems at PT. XYZ cause problems in managing credentials, as each user is required to remember multiple credentials. This study developed a QR Code-based Single Sign-On (SSO) system to simplify the login process using the Waterfall model Software Development Life Cycle (SDLC) approach. The login process is completed by scanning a QR Code that represents the user's authentication token, and the login status is synchronized in real-time using WebSocket. The scope of this study is limited to the development of a login page prototype and testing login time and QR scanning time, compared with other methods. This study does not include penetration testing or cryptography. The results from black-box testing show that all features function properly, and User Acceptance Testing (UAT) achieved an average score of 90.4%. Therefore, this QR Code-based SSO login system has proven to be effective, secure, and suitable for use as a modern authentication solution.
Co-Authors Felix David Gunawan, Andran Amar Ifani, Merryafinola