Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Proceeding International Conference on Information Technology and Business
Eka Fitria Wulandari
Informatics, Universitas Pembangunan Nasional “Veteran” Jawa Timur Jl. Raya Rungkut Madya, Surabaya, Indonesia
Computer Science & IT Economics, Econometrics & Finance

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

Found 1 Documents
Search

 1 
Undergraduate Thesis Supervisor Recommendation Based On Text Similarity Fetty Tri Anggraeny; Intan Yuniar Purbasari; Eka Fitria Wulandari
Prosiding International conference on Information Technology and Business (ICITB) 2019: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 5
Publisher : Proceeding International Conference on Information Technology and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The measurement of the similarity of texts is very extensive research. The most common implementation is finding documents that match the search keywords. And the current implementation is to measure the plagiarism of scientific documents. In the academic field, the topic of undergraduate students needs to be done an examination of similarity, in addition to knowing the title of the previous thesis that is similar, also to provide recommendations for suitable supervisors. In this study, we propose a system that can help undergraduate students determine supervisors based on the undergraduate thesis title to be proposed. The experimental results show that the proposed method is quite good as a recommendation system for undergraduate thesis supervisors with an accuracy of 80% in the field of research and 87.5% in the field of lecturer research.Keywords: Text similarity, Dice Coefficient, Supervisor Recommendation.
Co-Authors Fetty Tri Anggraeny Intan Yuniar Purbasari