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All Journal JUTEI (Jurnal Terapan Teknologi Informasi)
Mayesti Anggelina
Informatika, Universitas Kristen Duta Wacana
Computer Science & IT

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Penerapan Simhash dan Hamming distance dalam Deteksi kemiripan Teks Berita Mayesti Anggelina; Lucia Dwi Krisnawati; Danny Sebastian
Jurnal Terapan Teknologi Informasi Vol 6 No 2 (2022): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2022.62.216

Abstract

Text reuse is defined as the reuse of existing written sources for creating a new text. The degree of reuse varies from duplicate, near-duplicate to topically similar text. Though some genres of text reuse are acceptable, their existence causes inefficiency of searching and waste of storage. To overcome this problem, a textual similarity detection system is needed. This study focuses on detecting the text similarity by applying the Simhash algorithm. It is used to create document fingerprints which function as document features through which the degree of text similarity can be compared. The similarity of a suspicious text to the source documents are measured then by Hamming Distance. Focusing on the duplicate and near-duplicate detection, the experiments conducted show that the recall of the duplicate detection  reaches 80%, meaning that the system is capable of retrieving the duplicate sources of the suspicious document.
Co-Authors Danny Sebastian Lucia Dwi Krisnawati