Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : IJISTECH

Combined Performance of Hill Cipher and Rivest Code 6 (Rc6) Algorithms in Image Security Santoso, Heri; Rambe, Nia Sabrina; Suhardi, S
IJISTECH (International Journal of Information System and Technology) Vol 7, No 6 (2024): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i6.337

Abstract

Digital image files are a form of information that is accurate and reliable enough to describe something, so the level of authenticity of this information needs to be maintained. Especially when sent via the internet as in chat-based applications such as Facebook, WhatsApp, Instagram and other social media. To maintain the security and confidentiality of digital image/image information, it is necessary to have a technique called cryptography. Cryptography is a technique or algorithm for changing data or information to be different from the original information. For example, in everyday life, there is a result of a design order that is still in the development stage that needs to be shown to prospective buyers, a drawing file or documentation image file that is private and confidential, so it is important to pay attention to its security. This research will use the combined performance of the Hill Cipher and Rivest Code 6 cryptographic algorithms in securing image files. The results of the Hill Cipher and Rivest Code 6 cryptographic algorithm encryption are able to disguise the image during the encryption process. And can restore to the original image in the decryption process. So that the encrypted image is safer to send via the internet or social media.
Decision Support System for Selection of Scholarship Recipient Students Using Tsukamoto Method Fuzzy Logic Anwar, Mufti Husain; Furqan, Mhd.; Suhardi, S
IJISTECH (International Journal of Information System and Technology) Vol 8, No 1 (2024): The June edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i1.341

Abstract

Scholarship selection is an important process in determining the acceptance of educational assistance based on established criteria. Decision Support Systems (DSS) have proven their value in assisting complex decision making. In the context of scholarship selection, Tsukamoto's fuzzy approach in decision support systems is an effective tool for modeling the complexity and uncertainty of selection criteria. This system utilizes fuzzy logic to connect variable inputs such as academic achievement, financial condition, and other factors to output in the form of membership values in the scholarship acceptance category. The fuzzy rules defined by educational experts and practitioners enable the system to interpret conditions that are closer to human thinking. Thus, Tsukamoto's fuzzy approach in decision support systems becomes an effective tool in simplifying the complexity of scholarship selection, while providing data-based solutions. More objective and comprehensive.