Research Article
Detector Similarity Answers Between Students on Essay Digital Exam System
@INPROCEEDINGS{10.4108/eai.12-10-2019.2296348, author={Regi Ismayana Pratama and Munir Munir and Rani Megasari}, title={Detector Similarity Answers Between Students on Essay Digital Exam System}, proceedings={Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia}, publisher={EAI}, proceedings_a={MSCEIS}, year={2020}, month={7}, keywords={evaluation term frequency n-gram cosine similarity exam student cheat}, doi={10.4108/eai.12-10-2019.2296348} }- Regi Ismayana Pratama
Munir Munir
Rani Megasari
Year: 2020
Detector Similarity Answers Between Students on Essay Digital Exam System
MSCEIS
EAI
DOI: 10.4108/eai.12-10-2019.2296348
Abstract
This research is motivated by the problem of students who cheat while exam. Cheating can interfere in the evaluation process. A system was made for essay type questions because exams that use computers/smartphones are still many using multiple-choice questions. The method used for essay scoring is term frequency, n-gram, and cosine similarity. The concept is comparing keyword answers as query and student answer as a document then get a score of student answer. This method can also be used in another way, which is comparing answers between students where the result is a score of similarity student answers. Student answers that have 75% similarity will be considered by the system as cheating which is expected to help teachers for evaluating exams or learning.