Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Soft Computing Exploration
Imam Rangga Bakti
Department of Informatics Engineering, Universitas Pasir Pengaraian, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A comparative analysis of five textual similarity methods for automatic short answer grading Imam Rangga Bakti; Handaru Jati; Nurkhamid Nurkhamid; Yola Permata Bunda
Journal of Soft Computing Exploration Vol. 7 No. 1 (2026): March 2026
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v7i1.11

Abstract

This study investigates the application of text mining techniques in Automatic Short Answer Grading (ASAG) by comparing five textual similarity methods: Cosine Similarity, Jaccard Similarity, Dice’s Coefficient, Overlap Coefficient, and Matching Coefficient. The dataset consists of five definition-based questions answered by 25 students in a Human–Computer Interaction course. The data were preprocessed using case folding, tokenization, stop word removal, and stemming. The results show that Cosine Similarity achieved the highest similarity score of 67.00%, followed by Overlap Coefficient (66.67%) and Dice’s Coefficient (63.16%), while Jaccard Similarity and Matching Coefficient produced lower scores of 46.15%. These findings indicate that vector-based similarity methods are more effective in handling variations in sentence structure and keyword usage compared to set-based approaches, particularly for definition-based short answers. This study provides a comparative evaluation of multiple lexical similarity methods within a unified experimental setting, offering practical insights for selecting appropriate techniques in ASAG applications.
Co-Authors Handaru Jati Nurkhamid Nurkhamid Yola Permata Bunda