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Contact Name
Marsono Marsel.
Contact Email
idss@iocspublisher.org
Phone
+6281381251442
Journal Mail Official
idss@iocspublisher.org
Editorial Address
Romeby Lestari Housing Complex Blok C Number C14, North Sumatra, Indonesia
Location
Unknown,
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INDONESIA
Journal of Intelligent Decision Support System (IDSS)
ISSN : 27215792     EISSN : 27215792     DOI : -
Core Subject : Science,
An intelligent decision support system (IDSS) is a decision support system that makes extensive use of artificial intelligence (AI) techniques. Use of AI techniques in management information systems has a long history – indeed terms such as "Knowledge-based systems" (KBS) and "intelligent systems" have been used since the early 1980s to describe components of management systems, but the term "Intelligent decision support system" is thought to originate with Clyde Holsapple and Andrew Whinston in the late 1970s. Examples of specialized intelligent decision support systems include Flexible manufacturing systems (FMS),intelligent marketing decision support systems and medical diagnosis systems. Ideally, an intelligent decision support system should behave like a human consultant: supporting decision makers by gathering and analysing evidence, identifying and diagnosing problems, proposing possible courses of action and evaluating such proposed actions. The aim of the AI techniques embedded in an intelligent decision support system is to enable these tasks to be performed by a computer, while emulating human capabilities as closely as possible.
Articles 11 Documents
Search results for , issue "Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)" : 11 Documents clear
Data Security Analysis with Triple DES Cryptographic Algorithm Sipayung, Liskedame Yanti; Purba, Megaria
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.198

Abstract

The Data Encryption Standard (DES) is the first and most significant modern symmetry encryption algorithm. DES was released by the United States' National Bureau of Standards in January 1977 as an algorithm used for unclassified data (information that has nothing to do with national security). Although DES has been widely used in many applications around the world, there are still many controversial issues regarding the security of this algorithm. Therefore, this paper aims to discuss the security analysis of the DES cryptographic algorithm and also the security analysis of the DES algorithm variations, namely Double DES and Triple DES. Because the level of secrecy of the 3DES algorithm lies in the length of the key used, the use of the 3DES algorithm is considered more secure than the DES algorithm. To facilitate the use of the 3DES algorithm, a 3DES algorithm program was created with computer software tools, namely Matlab 7.0.4 which can encrypt and decrypt files with the .txt extension.

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