INTEGRATION OF THE EdDSA ALGORITHM WITH MULTI-SIGNATURE IN A QR CODE-BASED DIGITAL SIGNATURE SYSTEM FOR ACADEMIC DOCUMENT VERIFICATION

Abstract

The development of digital academic documents requires a verification system that can ensure document authenticity, integrity, and validity in a fast and secure manner. This study aims to implement a QR Code–based digital signature system by integrating the Edwards-curve Digital Signature Algorithm (EdDSA) using the Ed25519 variant and a multi-signature scheme for academic document verification. Each document is digitally signed by one or more authorized signatories using Ed25519 key pairs, and the generated digital signatures, document hash values, and signer identities are embedded into QR Codes as a verification medium. The system was tested on several types of academic documents, including internship reports (KKP), academic transcripts (KHS), and approval documents, with different numbers of signatories. The experimental results show that all digital signatures were successfully verified with a 100% success rate and an average execution time below 0.3 seconds, including in multi-signature scenarios. These results demonstrate that the integration of EdDSA and multi-signature mechanisms with QR Code technology is effective, efficient, and suitable for secure and reliable academic document verification.