Website Forum Diskusi Dengan Filter Spam Menggunakan Metode Clustering K-Medoids dan Metode Stemming Tala
DOI:
https://doi.org/10.47065/bulletincsr.v3i1.199Keywords:
Websites; Discussion Forums; Spam; K-Medoids Clustering Algorithm; Tala MethodAbstract
In online learning, there are known terms of synchronous learning and asynchronous learning. Some common asynchronous learning activities are interacting with the Learning Management System (LMS), communicating using email, posting on discussion forums and reading articles. In this study, a discussion forum will be designed to support the online learning process. In discussion forums, there are often threads that are opened containing messages that are not useful or not related to the topic being discussed. These messages are often referred to as spam. To solve this problem, the K-Medoids clustering algorithm can be applied. Meanwhile, to carry out the stemming process, the Tala method will be used. The result of this research is a discussion forum website application that provides a spam filter feature so that discussion forums can be clean from spam. The website also supports the process of adding and storing new spam data lists, so that users can enter new spam words to improve spam detection accuracy.
Downloads
References
D. N. Baety dan D. R. Munandar, “Analisis Efektifitas Pembelajaran Daring Dalam Menghadapi Wabah Pandemi Covid-19,” Edukatif : Jurnal Ilmu Pendidikan, vol. 3, no. 3, pp. 880-889, 2021.
A. Kurniasari, F. S. P. Pribowo dan D. A. Putra, “ANALISIS EFEKTIVITAS PELAKSANAAN BELAJAR DARI RUMAH (BDR) SELAMA PANDEMI COVID-19,” Jurnal Review Pendidikan Dasar: Jurnal Kajian Pendidikan dan Hasil Penelitian, vol. 6, no. 3, 2020.
Sulandari, “ANALISIS TERHADAP METODA PEMBELAJARAN KLASIKAL DAN METODA PEMBELAJARAN E-LEARNING DI LINGKUNGAN BADIKLAT KEMHAN,” Jurnal Pendidikan
Indonesia, vol. 1, no. 2, pp. 176-187, 2020.
A. Wibisono, S. D. Rizkiono dan A. Wantoro, “FILTERING SPAM EMAIL MENGGUNAKAN METODE NAIVE BAYES,” TELEFORTECH, vol. 1, no. 1, pp. 9-17, 2020.
F. Rozi dan R. Kartadie, “DETEKSI E-MAIL DAN SPAM MENGGUNAKAN FUZZY ASSOCIATION RULE MINING,” JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), vol. 02, no. 02, pp. 94-98, 2017.
W. Kurniawan, A. Rifai, W. Gata dan D. Gunawan, “Analisis Algoritma K-Medoids Clustering Dalam Menentukan Pemesanan Hotel,” JURNAL SWABUMI, vol. 8, no. 2, pp. 182-187, 2020.
S. Nurlaela, A. Primajaya dan T. N. Padilah, “ALGORITMA K-MEDOIDS UNTUK CLUSTERING PENYAKIT MAAG DI KABUPATEN KARAWANG,” Jurnal Informatika, Manajemen dan Komputer, vol. 12, no. 2, pp. 56-62, 2020.
N. Hidayati, A. I. Rizmayanti, C. B. S. Dewi, R. Fatmasari dan W. Gata, “Penerapan Algoritma Klasterisasi dan Klasifikasi pada Tingkat Kepentingan Sistem Pembelajaran di Universitas Terbuka,” JURNAL SWABUMI, vol. 8, no. 2, pp. 134-142, 2020.
P. F. Ariyani, A. Rahmala dan N. Juliasari, “Implementasi Metode Stemming Tala Dan Fungsi Jaccard Pada Aplikasi Katalog Perpustakaan,” Seminar Nasional Inovasi dan Aplikasi Teknologi di Industri, pp. 128-133, 2019.
F. S. N. Ramadhan, N. Chasanah dan D. Iskandar, “APLIKASI FORUM DISKUSI HIMPUNAN MAHASISWA TEKNIK UNIVERSITAS JENDERAL SOEDIRMAN MENGGUNAKAN LARAVEL,” Jurnal Teknik Informatika (JUTIF), vol. 1, no. 1, pp. 1-6, 2020.
R. Y. Hayuningtyas, “Aplikasi Filtering of Spam Email Menggunakan Naïve Bayes,” IJCIT (Indonesian Journal on Computer and Information Technology), vol. 2, no. 1, pp. 53-60, 2017.
Z. Mustofa dan I. S. Suasana, “ALGORITMA CLUSTERING K-MEDOIDS PADA E-GOVERNMENT
BIDANG INFORMATION AND COMMUNICATION TECHNOLOGY DALAM PENENTUAN
STATUS EDGI,” Jurnal Teknologi Informasi dan Komunikasi, vol. 9, no. 1, pp. 1-10, 2018.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Website Forum Diskusi Dengan Filter Spam Menggunakan Metode Clustering K-Medoids dan Metode Stemming Tala
ARTICLE HISTORY
How to Cite
Issue
Section
Copyright (c) 2022 Wilson

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).













