Artikel

Analisis perilaku pengguna digilib UNAIR dengan menggunakan Clustering Log Data Mining :

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Penilaian

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The analysis of user attitude digilib UNAIR [ADLN] is known through access log web ADLN which contains information about access of location, period of time, content of information and when user access it. All of that information has been saved at file log access.txt. This research used real data about 39.086 records in log web ADLN from May 2008 to 2009. Clustering data mining was used for knowing user attitude in this analysis. This clustering method used K-mean for clustering data. According to analysis clustering result at access log data mining Airlangga Digital Library shows 92.24 persen user access information via ADLN service in Airlangga Library which takes time more than 10 minutes. Also, the analysis result shows 75064 persen user access more than 10 minutes from 92.24 persen. Whereas, almost of all the user open the ADLN site at around 10.00 WIB to 15.00 WIB. That condition should need attention if the library wants to develop ADLN as one of source richt file for...ifa.

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Informasi Detail

Judul Seri

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No. Panggil

J 020 Pal

Penerbit

: .,

Deskripsi Fisik

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Bahasa

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

PalimpsestTahun II, Nomor 2, Desember 2010 - Mei 2

Subjek

Clustering
K-Mean

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

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