Perancangan Aplikasi Similarity Deteksi Kemiripan Judul Disertasi Berbasis Web
Abstract
Education has a good goal and system, namely creating a generation that is trustworthy in its actions and scientific writing. An educated person must have ethics in writing work, one of which is avoiding plagiarism. Determining the title of the dissertation that will be submitted must pay attention to several aspects to avoid similarities or even the same title because taking someone's writing or ideas without citing the source is an action that is prohibited in the ethics of scientific work. To prevent this, you can check the similarity of titles, which can be done using several methods, one of which is the Jaccard similarity algorithm, which is an algorithm that functions to find similarities or similarity of a problem, with calculations that contain a formula for solving the problem. In simple terms, this algorithm calculation will be added with a certain weighting value to increase the similarity value of the previous case with the new case. [1] Comparing title by title is very time consuming if done manually, therefore application design needs to be done so that later it can help parties. related to determining the similarity of dissertation titles. This design will later become a direction in building a dissertation title similarity detection application with the results of the title similarity percentage with the minimum acceptable level of similarity being 10%, and the consideration being 11% to 15%.
Downloads
References
I. M. S. Putra, Putu Jhonarendra, and Ni Kadek Dwi Rusjayanthi, “Deteksi Kesamaan Teks Jawaban pada Sistem Test Essay Online dengan Pendekatan Neural Network,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), 2021, doi: 10.29207/resti.v5i6.3544.
C. H. Primasari, “Kematangan Keselarasan Strategis Bisnis dan TI pada Lembaga Edukasi dan Konsultasi TI,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), 2020.
U. N. Sangadah, “Akurasi interpretasi pesan komunikasi non verbal ditinjau dari latar belakang pendidikan dan jenis kelamin,” Pap. Knowl. . Towar. a Media Hist. Doc., 2014.
D. Yulianto, R. Hartanto, and P. I. Santosa, “Evaluasi Buku Interaktif Berbasis Augmented Reality Menggunakan System Usability Scale dan User Experience Questionnaire,” Masa Berlaku Mulai, vol. 1, no. 3, pp. 482–488, 2017.
F. D. Putra, J. Riyanto, and A. F. Zulfikar, “Rancang Bangun Sistem Informasi Manajemen Aset pada Universitas Pamulang Berbasis WEB,” J. Eng. Technol. Appl. Sci., 2020, doi: 10.36079/lamintang.jetas-0201.93.
F.-G. Filip, “MANAGEMENT INFORMATION SYSTEMS: Managing the Digital Firm - 9th edition, authors: Keneth C. Laudon and Jane P. Laudon (Book Review),” Int. J. Comput. Commun. Control, 2007, doi: 10.15837/ijccc.2007.1.2342.
S. Suryana, “PERMASALAHAN MUTU PENDIDIKAN DALAM PERSPEKTIF PEMBANGUNAN PENDIDIKAN,” Edukasi, 2020, doi: 10.15294/edukasi.v14i1.971.
S. P. R. Gunawan, “Analisis Fitur Stilometri dan Strategi Segmentasi pada Sistem Deteksi Plagiasi Intrinsik Teks,” RESTI (Rekayasa Sist. dan Teknol. Inf., 2020.
S. Utomo, I. M. I. Subroto, and A. Riansyah, “Deteksi Plagiat Tugas Akhir dengan Metode Jaccard Similarity,” TRANSISTOR Elektro dan Inform., 2022.
S. Junaidi and T. Mary, “Metode Data Mining Association Rule Dengan Algoritma Fp-Growth Untuk Mengetahui Kelulusan Tepat Waktu Mahasiswa …,” Edik Inform., vol. 7, no. 1, pp. 9–18, 2019.
A. Sukmana, Kusrini, and A. Sunyoto, “Perbandingan Pengunaan Stemming Pada Deteksi Kemiripan Dokumen Menggunakan Metode Rabin Karp Dan Jaccard Similarity,” Semin. Nas. Teknol. Inf. dan Multimed., 2018.
Sugiyamta, “Sistem deteksi kemiripan dokumen dengan algoritma cosine similarity dan single pass clustering,” Din. Inform., 2015.
Murien Nugraheni, “PERBANDINGAN JACCARD SIMILARITY DENGAN EXTENDED JACCARD SIMILARITY PADA PENALARAN BERBASIS KASUS,” PINTER J. Pendidik. Tek. Inform. dan Komput., 2020, doi: 10.21009/pinter.4.2.10.
Annisa, Tursina, and Helen, “Diagnosis Kerusakan Komputer Menggunakan Metode Similarity Jaccard Coefficient,” J. Sist. dan Teknol. Inf., 2017.
R. Alamanda, C. Suhery, and Y. Brianorman, “Aplikasi pendeteksi plagiat terhadap karya tulis berbasis web menggunakan natural language processing dan algoritma knuth-morris-pratt,” Coding J. Komput. dan Apl., 2016.
Gushelmi, “Analisa Algoritma Association Rule pada Calon Mahasiswa Program Magister di masa Pandemi dengan Metode FP-Growth,” SATIN - Sains dan Teknol. Inf., 2022, doi: 10.33372/stn.v8i2.908.
R. F. Bania, “ANALISIS TINGKAT KEJAHATAN ANAK DIBAWAH UMUR MENGGUNAKAN METODE FP-GROWTH (STUDI KASUS DI POLRESTA PADANG),” Syntax J. Softw. Eng. Comput. Sci. Inf. Technol., 2020, doi: 10.46576/syntax.v1i1.646.
H. Prasetiyo, I. Widaningrum, and I. P. Astuti, “Game Edukasi Math & Trash Berbasis Android dengan Menggunakan Scirra Construct 2 dan Adobe Phonegap,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), 2020.
S. Nabila, A. R. Putri, A. Hafizhah, F. H. Rahmah, and R. Muslikhah, “Pemodelan Diagram UML Pada Perancangan Sistem Aplikasi Konsultasi Hewan Peliharaan Berbasis Android (Studi Kasus: Alopet),” J. Ilmu Komput. dan Bisnis, 2021, doi: 10.47927/jikb.v12i2.150.
S. Setiaji and R. Sastra, “Implementasi Diagram UML (Unified Modelling Language) Pada Perancangan Sistem Informasi Penggajian,” J. Tek. Komput., 2021, doi: 10.31294/jtk.v7i1.9773.
A. N. Maulidya Nanda Azizaha, Diva Istighfarin Ayu Setiantib, “Penerapan Sistem Enterprise Resource Planning (Erp) Pada Perusahaan Jasa Konstruksi,” CRANE Civ. Eng. Res. J., vol. 3, no. 2, pp. 11–16, 2022, doi: 10.34010/crane.v3i2.8159.
N. P. Riyanto, “Reminder System dan Monitoring Proyek untuk Penilaian Kinerja Karyawan Berbasis Web,” J. Sisfokom (Sistem Inf. dan Komputer), 2019, doi: 10.32736/sisfokom.v8i2.634.
R. Abdillah, “PEMODELAN UML UNTUK SISTEM INFORMASI PERSEWAAN ALAT PESTA,” J. FASILKOM, 2021, doi: 10.37859/jf.v11i2.2673.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under an Attribution 4.0 International (CC BY 4.0) that allows others to share — copy and redistribute the material in any medium or format and adapt — remix, transform, and build upon the material for any purpose, even commercially with an acknowledgment of the work's authorship and initial publication in this journal.
