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All Journal Techno.Com: Jurnal Teknologi Informasi JEECS (Journal of Electrical Engineering and Computer Sciences)
Hadi, Said Hirzi
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Verifikasi Quick Response Code dengan Vigenere Cipher dan Multi-Factor RSA Yulianto, Bagas Dwi; Hadi, Said Hirzi
Techno.Com Vol. 24 No. 1 (2025): Februari 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i1.12192

Abstract

Data personal merupakan hal yang sensitif bagi pemiliknya. Kelalaian dari penggunaan teknologi terkini seperti QR Code yang kurang tepat dapat mengakibatkan kebocoran data atau informasi. Pada hakikatnya QR Code hanya mengubah informasi menjadi gambar dua dimensi yang pembacaannya menggunakan sistem pindai, sehingga informasi yang didalamnya belum terlindungi dan informasi tersebut dapat langsung dibaca oleh semua orang. Penelitian ini berfokus pada kombinasi kriptografi simetris Vigenere Cipher serta kriptografi asimetris RSA yang ditingkatkan lagi menjadi Multi-factor RSA. Kombinasi tersebut untuk meningkatkan keamanan suatu informasi/data sebelum dirubah menjadi QR Code. Metode yang diusulkan membuktikan bahwa QR Code yang dipindai langsung dari berbagai perangkat akan menghasilkan kode enkripsi sehingga pihak tidak bertanggungjawab tidak dapat membaca nilai pesan asli. Pesan asli hanya bisa dibaca dari dari scanner dengan metode yang diusulkan sehingga keamanan QR Code terverifikasi. Serta hasil uji dengan Avalanche effect memenuhi standar baik dengan nilai 53,671875%.   Kata kunci: QR Code, Vigenere Cipher, Multi-factor RSA
Development of Augmented Reality-Based English Learning Media for Vocabulary and Pronunciation Hadi, Said Hirzi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.6

Abstract

English learning at the junior high school level often faces challenges in improving vocabulary mastery and pronunciation skills. Previous studies have demonstrated the effectiveness of Augmented Reality (AR) in supporting language learning. However, most of these studies focused only on vocabulary acquisition without integrating pronunciation practice or contextualized 3D object interaction. Therefore, this study aims to develop an AR-based learning medium that visualizes household objects such as refrigerators, microwaves, and scissors, accompanied by their pronunciation sounds. The application was developed using Unity and Vuforia SDK and tested through Black Box Testing and the System Usability Scale (SUS). The test results indicate that the system functions properly and obtained an SUS score of 82.5, categorized as “Excellent.” The developed media is expected to enhance students’ English vocabulary and pronunciation skills through an interactive and enjoyable learning experience that bridges the existing gap in AR-based English learning.
Co-Authors Bagas Dwi Yulianto