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The Influence Of Bioinformatics In The Study Of Influenza Virus Nadia Br Sembiring; M.Rizky Ramadhan; Salsabila Yusra; Afthar Kautsar; Muhammad Iqbal
Jurnal Kesehatan, Rekam Medis dan Farmasi (JUK-Medifa) Vol. 3 No. 01 (2024): JUK-Medifa (Jurnal Kesehatan, Rekam Medis dan Farmasi), November 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/juk-medifa.v3i01.614

Abstract

Bioinformatics plays an increasingly important role in the study of influenza viruses, especially in understanding genetic evolution, drug resistance, and developing more effective therapies. This study aims to explore the application of bioinformatics in analyzing genomic data of influenza viruses, designing drugs and vaccines, and monitoring the spread of virus variants. The research method uses a quantitative approach with secondary data analysis in the form of genome sequencing results and resistance data from various influenza virus isolates . Normality , validity, and reliability tests are carried out to ensure data quality, while bioinformatics analysis is applied to identify genetic mutations, protein structures, and virus spread patterns. The results show that genomic data analyzed with bioinformatics allows the identification of mutations that affect drug resistance, geographic mapping of resistant variants , and prediction of potential mutations in the future. In addition, bioinformatics contributes significantly to the design of more specific vaccines by utilizing viral epitope analysis . In conclusion, bioinformatics has a major impact on the development of more effective influenza control strategies, both in terms of therapy and prevention, as well as accelerating the response to future pandemic threats
Securing Private Text Messages Using a Modified ASCII-256 Caesar Cipher and Avalanche Effect Assessment Maghfira Aida; Yulia Alfi Sinaga; Afthar Kautsar
Journal of Computers and Digital Business Vol. 4 No. 3 (2025)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v4i3.765

Abstract

Cryptography is a scientific discipline used to protect information by transforming readable messages into forms that are unintelligible to unauthorized parties. One of the earliest and simplest cryptographic techniques is the Caesar Cipher, which remains relevant for academic exploration, particularly in understanding fundamental concepts of substitution ciphers. This study proposes a modified version of the Caesar Cipher by incorporating the full ASCII-256 character set, thereby expanding the substitution space and increasing the complexity of the encryption process. To evaluate the effectiveness of this modification, two measurement techniques were applied: the Avalanche Effect, which assesses the sensitivity of the cipher to small input changes, and the Character Error Rate (CER), which examines the accuracy and distortion level during decryption. The experimental results demonstrate that the modified cipher achieves an average Avalanche Effect exceeding 10% and a CER value above 50%, indicating enhanced resistance to simple cryptanalytic approaches and improved confidentiality of encrypted data. The implementation and simulations were performed using MATLAB R2013a to provide a controlled environment for testing and analysis. This study offers a deeper conceptual understanding of how classic ciphers can be strengthened through structural modifications and serves as a reference for introductory cryptographic research as well as educational demonstrations.