Implementation of the Jaccard Similarity Algorithm on Answer Type
Description
Dublin Core
Title
Implementation of the Jaccard Similarity Algorithm on Answer Type
Description
Description
Subject
Text Mining; Problem Description; Jaccard Similarity; Data Preprocessing
Description
This study aims to measure the similarity of the answers to the description by using alternative answers as reference answers
provided by the lecturer with a view to overcoming the diversity of student answers. This research focuses more on Indonesian
language questions and answers by combining the jaccard similarity algorithm and keyword similarity. The results obtained
indicate that by adding alternative reference answers, it can increase the correlation value to 0.78% and reduce MAE to 0.55.
Likewise, after combining the jaccard similarity algorithm and keyword similarity, the correlation value increased to 0.78% and
MAE decreased to 0.49.
provided by the lecturer with a view to overcoming the diversity of student answers. This research focuses more on Indonesian
language questions and answers by combining the jaccard similarity algorithm and keyword similarity. The results obtained
indicate that by adding alternative reference answers, it can increase the correlation value to 0.78% and reduce MAE to 0.55.
Likewise, after combining the jaccard similarity algorithm and keyword similarity, the correlation value increased to 0.78% and
MAE decreased to 0.49.
Creator
Riyanto 1,* and Abdul Azis
Date
2022
Contributor
PERI IRAWAN
Format
PDF
Language
ENGLISH
Type
TEXT
Files
Collection
Citation
Riyanto 1,* and Abdul Azis, “Implementation of the Jaccard Similarity Algorithm on Answer Type
Description,” Repository Horizon University Indonesia, accessed June 28, 2025, https://repository.horizon.ac.id/items/show/9295.
Description,” Repository Horizon University Indonesia, accessed June 28, 2025, https://repository.horizon.ac.id/items/show/9295.