Sistem Pendeteksi Kemiripan Dokumen Skripsi Mahasiswa Teknik Informatika STT-PLN Menggunakan Metode Cosine Similarity dan Jaccard Similarity
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
UTAMI, DYAH PUSPITASARI NILAM
Kuswardani, Dwina
Palupiningsih, Pritasari
Kuswardani, Dwina
Palupiningsih, Pritasari
Subject
Teknik Informatika
Datestamp
2022-09-23 02:04:06
Abstract :
In Sekolah Tinggi Teknik PLN (STT-PLN), thesis checking process is still done manually. This research is about the calculation of the similarity of thesis document Chapter I (Introduction). This study aims to display the percentage of similarity between documents to minimize plagiarism. The methods to build this system are text mining, cosine similarity and jaccard similarity. Text mining for preprocessing text, which includes tokenizing, filtering, and stemming. While Cosine Similarity and Jaccard Similarity to do the calculation of similarity which will be do comparison of the two methods. Based on the test results on 25 thesis documents performed, cosine similarity method has an accuracy of 76.66% and jaccard similarity method has an accuracy of 23.34%.
In Sekolah Tinggi Teknik PLN (STT-PLN), thesis checking process is still done manually. This research is about the calculation of the similarity of thesis document Chapter I (Introduction). This study aims to display the percentage of similarity between documents to minimize plagiarism. The methods to build this system are text mining, cosine similarity and jaccard similarity. Text mining for preprocessing text, which includes tokenizing, filtering, and stemming. While Cosine Similarity and Jaccard Similarity to do the calculation of similarity which will be do comparison of the two methods. Based on the test results on 25 thesis documents performed, cosine similarity method has an accuracy of 76.66% and jaccard similarity method has an accuracy of 23.34%.
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