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Implementasi Deteksi Penjiplakan dengan Algoritma Winnowing pada Dokumen Terkelompok

Tugas Akhir. Implementasi Deteksi Penjiplakan dengan Algoritma Winnowing pada Dokumen Terkelompok. Latar Belakang. Mempercepat pengecekan penjiplakan pada banyak dokumen dengan mengelompokan dokumen. Algoritma Winnowing.

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Implementasi Deteksi Penjiplakan dengan Algoritma Winnowing pada Dokumen Terkelompok

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  1. Tugas Akhir Implementasi Deteksi Penjiplakan dengan Algoritma Winnowing pada Dokumen Terkelompok

  2. Latar Belakang • Mempercepat pengecekan penjiplakan pada banyak dokumen dengan mengelompokan dokumen.

  3. Algoritma Winnowing • Winnowing adalah algoritma yang digunakan untuk melakukan proses document fingerprinting. Proses ini ditujukan agar dapat mengidentifikasi penjiplakan, termasuk bagian-bagian kecil yang mirip dalam dokumen yang berjumlah banyak.

  4. Contoh : • D1 : Metode menganalisa data • D2 : Metode analisa data • D3 :Pengolahan data mentah

  5. Hasil Hash • D1 : [12713,1] [12221,4] [12466,5] [12351,9] [12129,10] [12160,12] [11875,16] • D2 : [12713,1] [12127,4] [12129,6] [12160,8] [11875,12] • D3 : [12519,1] [12704,5] [11968,6] [12134,8] [12163,10] [12155,13]

  6. similiarity • Sim (D1, D2) : 4/8 = 50% • Sim (D1, D3) : 0/13 = 0% • Sim(D2, D3) : 0/11 = 0%

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