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Design and Security Evaluation of an AES-256–Based Encrypted Receipt System for Electronic Service Businesses M Syaifuddin; Moch. Iswan Perangin-angin
Journal of Information Systems and Technology Research Vol. 5 No. 2 (2026): May 2026
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v5i2.1397

Abstract

The proliferation of digital technology has substantially heightened threats to customer data security within electronic service businesses at PT. Veneta. At present, PT. Veneta relies upon a manual transaction-recording system that remains vulnerable to theft, loss, and data deterioration. The absence of a computerized data-security infrastructure engenders significant vulnerabilities for potential misuse of customer data by unauthorized entities. In an effort to resolve these substantial challenges, a robust, efficient, and well-architected data-security system is requisite. The AES-256 algorithm represents one of the most formidable cryptographic algorithms for data protection, characterized by lightweight computational complexity. This algorithm demonstrates exceptional resistance to brute-force attacks and frequency-analysis methodologies. This research endeavors to design and implement a web-based customer data-security system utilizing the AES-256 algorithm at PT. Veneta. The research methodology employs Research and Development (R&D) utilizing a Waterfall approach encompassing six phases: requirements analysis, system design, development, testing, deployment, and implementation. The research findings demonstrate that the AES-256 algorithm successfully encrypts customer data into a 64-character hexadecimal ciphertext with exceptionally robust security characteristics. Unauthorized attempts to compromise the ciphertext via brute-force methodologies would necessitate 3.31 × 1056 years and 2256 key combinations. The data-security system implemented at PT. Veneta not only furnishes robust customer data protection but also substantially enhances customer confidence in data disclosure.