CLUSTERING DATA BIBLIOGRAFI MENGGUNAKAN ALGORITMA K-MEANS DAN AUTHOR MATCHING CLASSIFIER

PUTRA, ROBBY TRI and Firdaus, Firdaus (2021) CLUSTERING DATA BIBLIOGRAFI MENGGUNAKAN ALGORITMA K-MEANS DAN AUTHOR MATCHING CLASSIFIER. Undergraduate thesis, Sriwijaya University.

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Abstract

Author Name Disambiguation (AND) merupakan sebuah proses untuk mwnyelesaikan masalah ambiguitas yang sering terjadi pada dua atau lebih publikasi journal memiliki data author yang hampir mempunyai kemiripan atau sama, Metode yang digunakan penulis ialah clustering (K-Means) K-Means ialah salah satu metode clustering data yang memiliki tingkat akurasi yang sangat baik dan membantu menyelesaikan permasalahan pada Author Name Disambiguation (AND) khususnya identifikasi author name, Dataset bibliografi yang digunakan sebagai bahan penelitian adalah menggunakan Dataset DBLP.txt, dengan metode ini mendapatkan nilai akurasi yang sangat baik yaitu 98%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Author Name Disambiguation, K-Means, Clustering, Preprocessing
Subjects: Z Bibliography. Library Science. Information Resources > Z1011-1017 General bibliographies
Z Bibliography. Library Science. Information Resources > Z699-699.5 Machine methods of information and retrieval. Mechanized bibliographic control
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Robby Tri Putra
Date Deposited: 30 Dec 2021 04:46
Last Modified: 30 Dec 2021 04:46
URI: http://repository.unsri.ac.id/id/eprint/60117

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