Optimizing the Confidentiality of Lecturer Database using Elgamal Algorithm

Abstract

Each Higher Education Institution must have many databases, one of which is a database of lecturers who store the confidentiality of data and information from lecturers as instructors. Securing lecturer databases is needed to protect lecturer data and information from database theft. Creating an optimal system in securing lecturer databases to avoid individuals who have no right to access and process data and information. The lecturer database processed in this study uses the ElGamal algorithm with key formation using primes and solving the problem requires discrete logarithmic calculations. The keys used in this algorithm are public keys and private keys. The results of testing this method is the encrypted lecturer database. ElGamal's algorithm is very helpful in securing the lecturer database at the Universitas Potensi Utama.