ICT Training Recommendation using Web Usage Mining | Zendy

Susi Maulidiah | Zendy; Imas Sukaesih Sitanggang | Zendy; Heru Sukoco | Zendy

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ICT Training Recommendation using Web Usage Mining

Author(s) -

Susi Maulidiah,

Imas Sukaesih Sitanggang,

Heru Sukoco

Publication year - 2018

Publication title -

international journal of information technology and computer science

Language(s) - English

Resource type - Journals

eISSN - 2074-9015

pISSN - 2074-9007

DOI - 10.5815/ijitcs.2018.12.03

Subject(s) - computer science , visitor pattern , world wide web , web mining , crawling , web page , bitmap , data mining , information retrieval , artificial intelligence , medicine , anatomy , programming language

The sustainability of a course and training institute depends on the availability of students. There are many ways to promote the courses and training programs including promoting it through the institution's website. The visitor behavior of a website have hidden information that can be found using web usage mining approach. This study aims to discover the hidden information from the visitor patterns of course website. The data used are web access log data of August 2016. Web usage mining process was done using the CoOccurence Map Sequential Pattern Mining using Bitmap Representation (CM-SPAM) algorithm which is available in the SPMF tool. Based on sequential pattern mining on the access log data, this study recommends improvements regarding the website structure and information that should be displayed on certain web pages. This study also found that the visitors of course website interested in three page types: one day seminar, tutorial and the training program.

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