APPLICATION OF ALGORITHMS TO DETECT SIMILARITIES IN THESIS TITLES IN THE INFORMATICS STUDY PROGRAM

Authors

  • Sheva Ricko Apriansyah Sumbawa University of Technology
  • M. Julkarnain Sumbawa University of Technology

Keywords:

Thesis, Topic Similarity, Winowwing Algorithm, Algorithm deployment

Abstract

The Informatics Study Program at the Sumbawa University of Technology experienced problems in checking the thesis titles of students who wanted to work on the final thesis assignment because it is done using a website-based thesis registration information system, but the algorithm used is still very bad (linear). This study applies the winnowing algorithm to checking the thesis title. This algorithm will look for a fingerprint (similarity in two texts) by converting n-grams of a text into a numeric form called a hash value. The technique for determining this value is Hashing. The result of this research is a web-based thesis title similarity detector application that was built using the waterfall system development method, Unified Modeling Language (UML) modeling, and the PHP programming language with the Laravel framework and MySQL database and tested using the Black Box testing method..

Published

2023-08-04

How to Cite

Apriansyah, S. R., & Julkarnain, M. (2023). APPLICATION OF ALGORITHMS TO DETECT SIMILARITIES IN THESIS TITLES IN THE INFORMATICS STUDY PROGRAM. Proceeding Of Student Conference, 1(2), 139–150. Retrieved from http://conference.uts.ac.id/index.php/Student/article/view/711
Loading...