Fadhlurrahman, Muhammad Afif (2022) Temu Kembali Data Penelitian Pada Kasus Peneliti Indonesia Berdasarkan Domain Vocabulary. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Peneliti biasanya mencari literatur menggunakan aplikasi pencarian artikel akademik. Ketika peneliti tertarik untuk melakukan pencarian artikel ilmiah yang mirip dengan artikel ilmiah acuannya diperlukan perhitungan kemiripan antar artikel ilmiah. Perhitungan kemiripan judul artikel ilmiah menggunakan metode Cosine Similarity dengan memperhatikan komponen atau data-data dari artikel ilmiah (Vocabulary). Proses Pencarian artikel ilmiah ini terdiri atas beberapa proses utama. Pembentukan Vocabulary yang digunakan untuk pencarian artikel ilmiah. Pembentukan kata kunci yang digunakan untuk menguji pencarian artikel ilmiah. Pencarian artikel ilmiah menggunakan kata kunci dengan Vocabulary. Pencarian artikel ilmiah tambahan apabila kurang dari 30 artikel dengan Vocabulary. Pencarian artikel ilmiah menggunakan kata kunci yang memiliki nilai rata-rata Cosine Similarity paling tinggi adalah kata kunci kelompok-1 dengan praproses judul sebesar 0.346 dan uji coba berhasil sebanyak 75 kali. Pencarian artikel ilmiah tambahan dengan nilai rata-rata Cosine Similarity terbaik adalah skenario 1, yaitu sebesar 0.3545. Hasil rekomendasi artikel ilmiah menggunakan kata kunci dengan Cosine Similarity berdasarkan domain Vocabulary mendapatkan nilai rata-rata tertinggi yaitu dengan kelas Topik pada Vocab PI. Hasil rekomendasi artikel ilmiah menggunakan artikel ilmiah hasil pencarian kata kunci berdasarkan domain Vocabulary memiliki hasil terbaik menggunakan kelas Topik Vocab PI (skenario 1) untuk setiap kelompok kata kunci.
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Researchers usually search for literature using an academic article search application. When researchers are interested in searching for scientific articles that are similar to the reference scientific articles, it is necessary to calculate the similarity between scientific articles. The calculation of the similarity of scientific article titles using the Cosine Similarity method by paying attention to the components or data from scientific articles (Vocabulary). Process the search for scientific articles consists of several main processes. The formation of vocabulary used to search scientific articles. Formation of keywords used to test the search for scientific articles. Search scientific articles using keywords with vocabulary. Search for additional scientific articles if there are less than 30 articles with vocabulary. Searching scientific articles using keywords that have the highest average Cosine Similarity value is group-1 keywords with title preprocessing of 0.346 and successful trials of 75 times. The search for additional scientific articles with the best average value of Cosine Similarity is scenario 1, which is 0.3545. The results of the recommendation of scientific articles using keywords with Cosine Similarity based on the Vocabulary domain get the highest average value, namely the Topic class on the Vocab PI. The results of scientific article recommendations using scientific articles keyword search results based on the Vocabulary domain have the best results using the Vocab PI Topic class (scenario 1) for each keyword group.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSIf 005.1 Fad t-1 2022 |
| Uncontrolled Keywords: | Kemiripan Artikel Ilmiah, Natural Language Processing, Pembentukan Kata Kunci, Pencarian Artikel Ilmiah, Temu Kembali Data Penelitian, Vocabulary. Generate Keyword, Natural Language Processing, Research Data Retrieval, Scientific Article Search, Scientific Article Similarity, Vocabulary. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.546 Computer algorithms |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 26 May 2026 02:05 |
| Last Modified: | 26 May 2026 02:05 |
| URI: | http://repository.its.ac.id/id/eprint/133419 |
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