Integrasi Modul Pengelompokan Kode Program C Berdasarkan Struktur pada TOKI Learning Center

Abstract

Manual detection of source code plagiarism requires a lot of time and effort. Therefore, a system that could help to detect plagiarism of programming assignment is required. The purpose of this research is to build a web application that implements clustering module of C program code based on the structure. The method used to build the system in this research is System Life Cycle. The result of this research is a web application that helps to detect plagiarism of programming assignment in TOKI Learning Center. The application has 3 clustering options, i.e., using clustering method, using the result of test case, and using the combined result of the test case with the clustering method. There are 5 methods of clustering used in the web application, i.e., K-means, bisecting Kmeans, single linkage, average linkage, and complete linkage. To help instructor determine a plagiarism, there are several conditions for consideration provided by the web application, i.e., clustering result, submission time, number of submissions, and the source codes.