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Implementasi Algoritma Levenshtein Distance dan TF-IDF Cosine Similarity pada Sistem Validasi Ejaan dan Deteksi Redundansi Artikel Ilmiah Berbasis Web

Santi Septiyani1* , Firamon Syakti2 , Irwansyah Irwansyah3
1*,2,3 Universitas Bina Darma image/svg+xml
* Corresponding Author: Santi Septiyani
Published
2026-12-01
Section
Article
Pages
204-218

Abstract

Writing scientific articles requires attention to spelling accuracy, effective communication, and the prevention of redundancy. Manually checking for spelling errors and redundant passages is often time-consuming and requires meticulous effort. This research aims to implement the Levenshtein Distance algorithm, Term Frequency-Inverse Document Frequency (TF-IDF), and Cosine Similarity within a web-based system designed for spelling validation and redundancy detection in scientific articles. The system was developed using the Web Development Life Cycle (WDLC) methodology, encompassing planning, analysis, design, implementation, testing, and maintenance. The application accepts input in the form of raw text or .docx documents. Levenshtein Distance is employed to provide spelling correction recommendations based on a reference vocabulary, while TF-IDF and Cosine Similarity are used to calculate the degree of similarity between sections of the article. Functional testing was conducted using the black-box testing method across 15 scenarios. The test results indicate that all scenarios functioned as expected. The system integrates spelling validation and similarity analysis into a single application to facilitate a structured preliminary review of scientific articles. 

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Author Biographies

Santi Septiyani Universitas Bina Darma

Program Studi Teknik Informatika, Sains Teknologi, Universitas Bina Darma, Kota Palembang, Provinsi Sumatera Selatan, Indonesia.

Firamon Syakti Universitas Bina Darma

Program Studi Teknik Informatika, Sains Teknologi, Universitas Bina Darma, Kota Palembang, Provinsi Sumatera Selatan, Indonesia.

Irwansyah Irwansyah Universitas Bina Darma

Program Studi Teknik Komputer, Fakultas Vokasi, Universitas Bina Darma, Kota Palembang, Provinsi Sumatera Selatan, Indonesia.

How to Cite

Septiyani, S., Syakti, F., & Irwansyah, I. (2026). Implementasi Algoritma Levenshtein Distance dan TF-IDF Cosine Similarity pada Sistem Validasi Ejaan dan Deteksi Redundansi Artikel Ilmiah Berbasis Web. Journal Digital Technology Trend, 5(2), 204-218. https://doi.org/10.56347/jdtt.v5i2.470

License & Copyright

Copyright (c) 2026 Santi Septiyani, Firamon Syakti, Irwansyah Irwansyah (Author)

This is an open-access journal. All articles are distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Creative Commons Attribution 4.0 International (CC BY 4.0)

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References

Total: 24 References
  • Costa, A. N., Silva, F. O. da, & Moreira, J. J. (2024). Towards an AI-driven user interface design for web applications. Procedia Computer Science, 237, 179–186. https://doi.org/10.1016/j.procs.2024.05.094
  • Edeline, N. P., Devi, R. S., Sintawati, K. S., & Pratama, J. B. (2025). Redundansi dalam karya tulis ilmiah: Analisis pola, dampak, dan strategi penulisan yang efektif. Jurnal Pengembangan dan Penelitian Pendidikan, 7(2), 112–123.
  • French, A. M. (2011). Web development life cycle: A new methodology for developing web applications. Journal of Internet Banking and Commerce, 16(2), 1–13.
  • Iryani, E., Wardani, P., Wahyuni, P., Suryani, T., & Triyanto, A. (2025). Studi berbasis korpus digital terhadap kesalahan ejaan artikel terindeks SINTA. MABASAN, 19(2), 289–304. https://doi.org/10.26499/mab.v19i2.890
  • Kusuma, A. T. A. (2023). Spell checking bahasa Indonesia dengan melakukan perbandingan metode Peter Norvig, Levenshtein distance, dan Damerau-Lavenshtein distance: Tinjauan literatur. AUTOMATA, 4(2), 1–6. https://journal.uii.ac.id/AUTOMATA/article/view/28633

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