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Penggunaan text mining pada pengadaan buku di Perpustakaan Universitas Indonesia = Use of text mining in book acquisition in University of Indonesia Library

Annisa Marlin Masbar Rus; Farizal, supervisor; Inaki Maulida Hakim, examiner; Sofrida Rosita Hanum, examiner; Aziz Sutrisno, examiner (Fakultas Teknik Universitas Indonesia, 2014)

 Abstract

Pengadaan buku melakukan penyeleksian kebutuhan topik berdasarkan rekomendasi dosen, beberapa mahasiswa, maupun pustakawan sendiri. Sumber ini dianggap kurang menyeluruh, sehingga dibutuhkan sumber informasi lain, yaitu kata kunci pencarian buku. Penelitian ini dilakukan di Perpustakaan Universitas Indonesia dengan menggunakan salah satu dari metode text mining, yaitu metode Latent Relation Discovery untuk menemukan nilai relation strength dengan memperhitungkan kemunculan bersamaan dan jarak antara kata.
Hasil dari penelitian menemukan 126 pasangan kata atau topik kata kunci pencarian dan 56 topik yang sesuai dengan topik buku pinjaman dan 2 topik yang sesuai dengan topik buku yang akan diadakan, sehingga 58 topik kemudian diajukan. Jika dibandingkan dengan hanya melihat frekuensi kata, topik ini dapat memberikan informasi yang lebih spesifik. Namun jika dibandingkan dengan topik pada buku pinjaman dan daftar pengadaan buku, topik kata kunci menjadi terlalu umum dan terbatas pada kata yang muncul.

Books acquisition usually do the screening needs of topics based on lecturer recommendations, some students, and librarian themselves. These sources are considered less comprehensive, thus other sources of information is needed, that is keyword. This research was conducted at the University of Indonesia Library using one of the methods of text mining, the method of Latent Relation Discovery, to find relations strength value by considering the emergence of concurrence and distance between words.
The results of the study found 126 pairs of words or topic from keyword and 56 topics that fit with the topic of the borrowed book and the 2 topics that match the topics to the book that is recommended. Rather than simply considering frequency of the words, this topic can provide more specific information, but when it compared with the topics from the loan book and textbook acquisition list, these topics become too common and limited to words that appear.

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 Metadata

Collection Type : UI - Skripsi Membership
Call Number : S55972
Main entry-Personal name :
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Publishing : Depok: Fakultas Teknik Universitas Indonesia, 2014
Cataloguing Source
Content Type text
Media Type unmediated ; Computer (rdadontent)
Carrier Type volume ; online resource
Physical Description xii, 50 pages : illustration ; 30 cm
Concise Text
Holding Institution Universitas Indonesia
Location Perpustakaan UI, Lantai 3
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Call Number Barcode Number Availability
S55972 14-25-84597878 TERSEDIA
Review:
No review available for this collection: 20386571
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