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Company Profile Development for CV. GP Mandiri Using the Waterfall Method Reynaldy Alfida Yanur; Trihastuti Yuniati
Jurnal E-Komtek Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2180

Abstract

A company profile website serves as an effective medium for information and promotion. This study aims to develop a company profile website for CV GP Mandiri using the Waterfall software development method. This method was chosen for its systematic and structured approach, facilitating each stage of development. The website is built using WordPress with the Elementor plugin, allowing for a responsive and user-friendly design. The development process includes stages of requirement analysis, design, implementation, and testing. After implementation, black box testing was conducted to ensure all website functions operate correctly. The testing results indicate that all implemented features, such as the homepage, about the company, services, and contact pages, function as expected. This website not only enhances CV GP Mandiri's visibility in the online world but also provides easy access to information for potential clients. This research is expected to serve as a reference for other companies seeking to develop a website as part of their marketing and communication strategies.
Performance Comparison of AES and Blowfish Algorithm Hendrawan Nur Majid; Trihastuti Yuniati; Dedy Agung Prabowo
IJNMT (International Journal of New Media Technology) Vol 13 No 1 (2026): Vol 13 No 1 (2026): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v13i1.4709

Abstract

The rapid advancement of communication and data storage technologies requires security systems capable of protecting sensitive information from cyber threats. Symmetric cryptography algorithms such as AES and Blowfish are widely used, although they exhibit different performance characteristics. This study compares both algorithms based on processing time, memory usage, and throughput on .txt, .pdf, and .zip files. The testing was conducted through a Python implementation using ECB and CTR modes. The results show that AES consistently outperforms Blowfish in terms of speed and throughput. For large files, AES using ECB mode reaches a throughput of 1128.42 MB/s, significantly higher than Blowfish using ECB mode at 92.26 MB/s, with faster encryption time as well, AES using ECB mode within 0.075 seconds while Blowfish using ECB mode within 0.928 seconds. The decryption process shows similar results, where AES using CTR mode achieves 546.70 MB/s, while Blowfish using CTR mode reaches only 81.59 MB/s. Overall, AES is more suitable for fast encryption-decryption on large-scale data processing, whereas Blowfish is more appropriate for small files or low-complexity applications.