Sosilo, Michael and Hartono, Reggio N. and Widiputra, Harya Damar (2012) Crowdsourcing and Artificial Intelligence Approach in Plagiarism Detection. Bachelor thesis, Swiss German University.
|
Text
Michael Sosilo 1-2408-026 TOC.pdf Download (263kB) | Preview |
|
![[img]](http://repository.sgu.ac.id/style/images/fileicons/text.png) |
Text
Michael Sosilo 1-2408-026 1.pdf Restricted to Registered users only Download (196kB) |
|
|
Text
Michael Sosilo 1-2408-026 2.pdf Restricted to Registered users only Download (252kB) |
|
|
Text
Michael Sosilo 1-2408-026 3.pdf Restricted to Registered users only Download (1MB) |
|
|
Text
Michael Sosilo 1-2408-026 4.pdf Restricted to Registered users only Download (416kB) |
|
|
Text
Michael Sosilo 1-2408-026 5.pdf Restricted to Registered users only Download (149kB) |
|
|
Text
Michael Sosilo 1-2408-026 Ref.pdf Download (149kB) | Preview |
Abstract
Internet has made plagiarism more easier for students and many others, however internet also help in detecting plagiarism. Applications based on machine learning have also been made, but there are still some problems that AI cannot solve. Crowdsourcing had been widely used around the world for many purpose(e.g. Research and Development, Logo and Design, Information Aggregation, etc), yet it's application for plagiarism detection was very little. The primary purpose of this research paper is to determine the effectiveness and flaw of both crowdsourcing and AI approach in detecting plagiarism. From the result it can be seen that the prototype system of crowdsourcing system has been used to prove crowdsourcing can be used to help detect plagiarism and using AI was not always the best way to detect plagiarism. Advancement in this research, the author suggest that a complete system should be made instead of using prototype system and designing of a hybrid system(computer aided crowdsourcing).
| Item Type: | Thesis (Bachelor) |
|---|---|
| Uncontrolled Keywords: | Crowdsourcing; Plagiarism; Web-Based Plagiarism Detection Tools |
| Subjects: | L Education > LB Theory and practice of education > LB3609 Plagiarism--Prevention Q Science > Q Science (General) > Q334-Q342 Artificial intelligence |
| Divisions: | Faculty of Engineering and Information Technology > Department of Information Technology |
| Depositing User: | Astuti Kusumaningrum |
| Date Deposited: | 24 Mar 2021 03:56 |
| Last Modified: | 24 Mar 2021 03:56 |
| URI: | http://repository.sgu.ac.id/id/eprint/1177 |
Actions (login required)
 |
View Item |