Article Sidebar

Submitted
6 October 2025
Accepted
27 October 2025
Published
29 November 2025
Download
PDF (Bahasa Indonesia)
Statistic
Read Counter : 48 Download : 67

Downloads

Download data is not yet available.

Main Article Content

Abstract

Online gambling in Indonesia is increasingly widespread and has negative impacts, both in terms of socio-economic aspects and cybersecurity. One of the methods used by online gambling operators is inserting gambling backlinks into websites, particularly those with .ac.id and .go.id domains, to boost their ranking in search engines. This study aims to develop a keyword-based input detection and blocking mechanism to prevent the insertion of online gambling content into websites. The method employed is Fuzzy Matching with the Levenshtein Distance algorithm, which measures the similarity between user input and gambling-related keywords. The evaluation results show a precision of 1.00, recall of 0.80, F1-score of 0.89, and accuracy of 0.90. These results indicate that the system can detect sentences containing gambling elements with high accuracy; however, false negatives still occur and need further improvement to be minimized. Thus, this mechanism can serve as an initial step in preventing the misuse of websites by cybercriminal groups.

Keywords

Cybersecurity Fuzzy Matching Gambling Online Levenshtein Distance

Article Details

License

Copyright (c) 2025 Jurnal Komputer Terapan

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Author Biography

Ismail Puji Saputra, Politeknik Negeri Lampung

Teknologi Rekayasa Internet Politeknik Negeri Lampung
How to Cite
Puji Saputra, I. (2025). MEKANISME DETEKSI DAN PEMBLOKIRAN KONTEN PERJUDIAN DARING BERBASIS KATA KUNCI MENGGUNAKAN ALGORITMA LEVENSHTEIN DISTANCE. Jurnal Komputer Terapan, 11(2), 60–66. https://doi.org/10.35143/jkt.v11i2.6758
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. S. Sihombing, R. A. M. Sahputri, M. G. Njoman, and L. E. Rini, “Sosialisasi Bahaya JUDOL (Judi Online) Dalam Perspektif Ekonomi di SMKN 2 Sungailiat-Bangka,” Jurnal Pengabdian Kepada Masyarakat Politeknik Negeri Batam, vol. 7, no. 1, pp. 38–49, 2025.
  2. S. Afrioza, I. J. Sakti, A. L. Febrianti, R. A. Hamdani, B. Digital, and U. Y. Madani, “Literasi Digital Adaptif Sebagai Strategi Pencegahan Judi Online dan Penguatan Ketahanan Remaja: Studi Kasus di,” JEDBUS (Journal of Economic Digital Business), vol. 2, no. 2, pp. 75–84, 2025.
  3. S. Marsela, A. Syifa, F. D. Pratama, and R. Al Muqfi, “Persoalan Perjudian dan Judi Online dalam Analisa Teori Etika Utilitarianisme,” Das Sollen: Jurnal Kajian Kontemporer Hukum dan Masyarakat, vol. 1, no. 2, pp. 1–20, 2023, doi: 10.11111/dassollen.xxxxxxx.
  4. N. A. Syakira, N. F. Ramadhahana, N. D. Anggita, T. Tsaqifa, and R. N. Husna, “Dampak Konsumerisme Berupa Judi Online di Indonesia: Perspektif Ekonomi, Sosial, dan Mental,” Jurnal Interaktif, vol. 16, no. 2, pp. 73–79, 2024, doi: 10.21776/ub.interaktif.2024.016.02.3.
  5. D. H. Hendarto and R. S. Handayani, “Pencegahan Kejahatan Siber Terkait Distribusi Perjudian Online di Indonesia dalam Rangka Mewujudkan Keamanan dan Ketertiban Masyarakat,” Jurnal Syntax Admiration, vol. 5, no. 5, pp. 1542–1558, 2024, doi: 10.46799/jsa.v5i5.1136.
  6. D. Supriadi, E. Suryadi, R. Muslim, and L. D. Samsumar, “Implementasi Vulnerability Assessment OWASP (Open Web Application Security Project) pada Website Universitas Teknologi Mataram,” Journal of Data Analysis, Information, and Computer Science, vol. 1, no. 4, pp. 232–240, 2024, doi: 10.70248/jdaics.v1i4.1368.
  7. E. S. Alim, N. Nuroji, M. A. Rizkiawan, T. Anhari, and B. Sobari, “Monitoring dan Pencegahan Serangan Judi Online (Slot Gacor) pada Website,” Edumatic: Jurnal Pendidikan Informatika, vol. 8, no. 1, pp. 75–83, 2024, doi: 10.29408/edumatic.v8i1.25267.
  8. P. Agustin and A. Wahyu, “Analisis Keamanan Situs ‘.go.id’ terhadap Serangan Web Defacement ‘Judi Online’,” Search (Informatics, Science, Entrepreneurship, Applied Art, and Research Humanism), vol. 24, no. 1, pp. 1–10, 2025.
  9. D. A. Herawati, A. Risdhianto, and E. Saptono, “Indonesia Darurat Judi Online: Judi Online sebagai Ancaman Nirmiliter terhadap,” Jurnal Ilmiah Manajemen dan Informasi, vol. 5, no. 5, pp. 1251–1261, 2025, doi: 10.53866/jimi.v5i5.991.
  10. M. Hikmatyar, A. Sudiarjo, R. Ruuhwan, M. I. Arief, and N. Fadilah, “Pengembangan Aplikasi Scanning Defacement Judi Online untuk Website Profile pada Server,” Informatics Digital Expert, vol. 6, no. 2, pp. 171–175, 2024, doi: 10.36423/index.v6i2.2023.
  11. M. Nurseno, U. Aditiawarman, H. A. Q. Maarif, and T. Mantoro, “Detecting Hidden Illegal Online Gambling on .go.id Domains Using Web Scraping Algorithms,” MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 23, no. 2, pp. 365–378, 2024, doi: 10.30812/matrik.v23i2.3824.
  12. N. A. Al Azfar and S. D. Anggita, “Penerapan Metode Waterfall pada Sistem Informasi E-Rapor,” Information Systems Journal, vol. 7, no. 1, pp. 45–55, 2024, doi: 10.24076/infosjournal.2024v7i01.1582.
  13. R. Antonius, A. R. Zulkarnain, and H. Irsyad, “Pendekatan TF-IDF, SMOTE, dan SVM dalam Klasifikasi Sentimen Masyarakat terhadap Pemblokiran Judi Online,” Buletin Ilmiah Informatika dan Teknologi, vol. 2, no. 3, pp. 115–122, 2024, doi: 10.58369/biit.v2i3.65.
  14. M. Waruwu, S. N. Pu’at, P. R. Utami, E. Yanti, and M. Rusydiana, “Metode Penelitian Kuantitatif: Konsep, Jenis, Tahapan dan Kelebihan,” Jurnal Ilmiah Profesi Pendidik, vol. 10, no. 1, pp. 917–932, 2025, doi: 10.29303/jipp.v10i1.3057.
  15. A. N. Cahyo, R. Hermawan, M. Avin, and D. Wijaya, “Deteksi Teks Promosi Judi Online pada Kolom Komentar YouTube dengan Metode Regex dan Fuzzy Matching,” Jurnal Teknologi Informasi dan Komputer, vol. 7, no. 2, pp. 176–187, 2025.
  16. M. G. Pradana, H. B. Seta, N. Irzavika, P. H. Saputro, and R. Rusiyono, “Levenshtein Distance Algorithm in Javanese Character Translation Machine Based on Optical Character Recognition,” International Journal of Informatics and Visualization, vol. 9, no. 4, pp. 1411–1418, 2025, doi: 10.62527/joiv.9.4.3151.
  17. Y. D. Putra et al., “Analisa Pencarian dan Pencocokan String dalam Aplikasi Berbasis Python dengan Library Fuzzy Wuzzy terhadap Dataset Email: String Search and Matching Analysis in Python-Based Application with Fuzzy Wuzzy Library on CNN Daily Mail,” Jurnal Teknologi dan Komputer, vol. 4, no. 2, pp. 7–13, 2025.
  18. I. Markoulidakis and G. Markoulidakis, “Probabilistic Confusion Matrix: A Novel Method for Machine Learning Algorithm Generalized Performance Analysis,” Technologies, vol. 12, no. 7, 2024, doi: 10.3390/technologies12070113.