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Journal : Proceeding International Conference on Information Technology and Business

PERFORMANCE ANALYSIS OF GRAPH DATABASE AND RELATIONAL DATABASE Agustian Prakarsya Mardin; RZ. Abdul Aziz; Ari Kurniawan
Prosiding International conference on Information Technology and Business (ICITB) 2020: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 6
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

There were many database methods for managing data. They were widespread industries that had a huge success. The method used in this study was the relational database method and the graph database. The relational database method was considered as the standard for over thirty years. The graph database consisted of several components e.g., nodes, edges, and properties that represented the data storage. The graph database provided index-free adjacency, which meant that each element contained a direct pointer which was adjacent to the elements and no longer required an index lookup. These databases can be more scaled to the larger datasets as they generally did not require a "joint" operation. Therefore, they were more suited to manage the fluctuating ad-hoc data with changing schemasKeywords:Relational Databases, Database Graph, Nodes, Edges, and Properties
Comparative Analysis between Rabin Karp Algorithm, Winnowing, and Turnitin Applications for Detecting Plagiarized Words Ari Kurniawan Saputra; Kurnia Muludi; Taqwan Thamrin
Prosiding International conference on Information Technology and Business (ICITB) 2020: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 6
Publisher : Proceeding International Conference on Information Technology and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Plagiarism was considered to violate the law because it copied of other people's works. To prevent plagiarism in terms of scientific writing, every word or sentence of scientific texts had to be detected through word-matching algorithm in the written text. The objective of this study was to compare the accuracy of values between the Rabin Karp Algorithm and the Winnowing Algorithm. The accuracy of values of these algorithms was compared with that of the values of Turnitin application. The data analysis used in this study was Hypothesis T-test. The result of this study was that the value of Rabin Karp Algorithm was higher than that of the Winnowing Algorithm and the Turnitin Application.Keywords: Plagiarisme, Turnitin, Rabin Karp Algorithm, Winnowing Algorithm