Jurnal Palimpsest
ISSN 2086-0994
Vol. 2 / No. 2 / Published : 2011-05
Order : 3, and page :110 - 120
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Original Article :
Analisis perilaku pengguna digilib unair dengan menggunakan clustering log data mining
Author :
- Yunus Abdul Halim*1
- Universitas Airlangga
Abstract :
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% user access information via ADLN service in Airlangga Library which takes time more than 10 minutes. Also, the analysis result shows 75.64% user access more than 10 minutes from 92.24%. 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 valuation at webometrics degree. In the fact that richt file has contributed a big point in ADLN, however when we are looking at the access ADLN shows that there are lack of access of ADLN through internet rather than intranet, so it influences on valuation webometrics from accessible point.
Keyword :
digital library, clustering, k-mean,
References :
Bezdek, J.C.,(1981) Patern recognition with fuzzy objective function algorithms New York : Plenum Press
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Volume : 2 / No. : 2 / Pub. : 2011-05 |
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