Aplikasi Deteksi Dini Plagiarism Penelitian Ilmiah Menggunakan Algoritma Consine Similarity Berbasis Web

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Published: Jan 3, 2022
DOI: https://doi.org/10.35870/jtik.v6i3.427
Keywords:
Scientific Writing Plagiarism Cosine similarity

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Ahlun Nazar Fadhullah
Universitas Nasional
Fauziah Fauziah
Universitas Nasional
Winarsih Winarsih
Universitas Nasional

Abstract

Scientific Writing A graduation requirement for several students at each University. In making the Scientific Writing / Final Project, it is expected that final year students can make a journal/writing that is as original as possible and without plagiarism in order to meet innovation in society in the future to get a good and useful solution, especially in the IT field. The purpose of this study is to build a web-based application for early detection of plagiarism in scientific writing using the Cosine Similarity Algorithm method which will make it easier for students to determine the choice of final assignment title so that they can detect early plagiarism. The problem that often occurs in determining the title of scientific writing is not knowing about the previous titles that already exist, which often results in revisions at the beginning of the collection of outlines and journal titles. The method used is Cosine Similarity, this method is a method that can be used to calculate similarities between two objects. This calculation is based on the Vector Space Similarity Measure, namely, in calculating the level of similarity, the object will be expressed in vector form by using keywords as a measure.

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How to Cite
Fadhullah, A. N., Fauziah, F., & Winarsih, W. (2022). Aplikasi Deteksi Dini Plagiarism Penelitian Ilmiah Menggunakan Algoritma Consine Similarity Berbasis Web. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 6(3), 325–334. https://doi.org/10.35870/jtik.v6i3.427
Issue
Vol. 6 No. 3 (2022): JULY-SEPTEMBER 2022
Section
Computer & Communication Science
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Author Biographies

Ahlun Nazar Fadhullah, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

Fauziah Fauziah, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

Winarsih Winarsih, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

References

Firdaus, F., Pasnur, P. and Wabdillah, W., 2019. Implementasi Cosine Similarity untuk Peningkatan Akurasi Pengukuran Kesamaan Dokumen pada Klasifikasi Dokumen Berita dengan K Nearest Neighbour. Inspiration: Jurnal Teknologi Informasi dan Komunikasi, 9(1), pp.69-74.

Sya’bani, M.M., 2018. Penerapan Metode Cosine Similarity dan Pembobotan TF/IDF pada Sistem Klasifikasi Sinopsis Buku di Perpustakaan Kejaksaan Negeri Jember. JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia), 3(1), pp.31-42.

Nurdin, N., Rizal, R. and Rizwan, R., 2019. Pendeteksian Dokumen Plagiarisme dengan Menggunakan Metode Weight Tree. Telematika, 12(1), pp.31-45.

Kesuma, H.W.A., 2016. Penerapan Metode TF-IDF dan Cosine Similarity dalam Aplikasi Kitab Undang-Undang Hukum Dagang (Doctoral dissertation, Universitas Negeri Semarang).

Nurdiana, O., Jumadi, J. and Nursantika, D., 2016. Perbandingan metode Cosine Similarity dengan metode Jaccard Similarity pada aplikasi pencarian terjemah Al-Qur’an dalam Bahasa Indonesia. Jurnal Online Informatika, 1(1), pp.59-63.

Wahyudi, M.D.R., 2019. Penerapan Algoritma Cosine Similarity pada Text Mining Terjemah Al-Qur’an Berdasarkan Keterkaitan Topik. Semesta Teknika, 22(1), pp.41-50.

Hasanah, U. and Mutiara, D.A., 2019, December. Perbandingan metode cosine similarity dan jaccard similarity untuk penilaian otomatis jawaban pendek. In SENSITIf: Seminar Nasional Sistem Informasi dan Teknologi Informasi (pp. 1255-1263).

Pratama, R.P., 2018. Aplikasi deteksi plagiarisme menggunakan metode cosine similarity (Doctoral dissertation, Universitas Islam Negeri Maulana Malik Ibrahim).

Pratama, R.P., Faisal, M. and Hanani, A., 2019. Deteksi Plagiarisme pada Dokumen Jurnal Menggunakan Metode Cosine Similarity. SMARTICS Journal, 5(1), pp.22-26.

Naf'an, M.Z., Burhanuddin, A. and Riyani, A., 2019. Penerapan Cosine Similarity dan Pembobotan TF-IDF untuk Mendeteksi Kemiripan Dokumen. Jurnal Linguistik Komputasional, 2(1), pp.23-27.

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