IMPLEMENTING K-MEANS METHOD FOR VISITOR CLUSTERING LIBRARY ITN MALANG

Library of National Istitute Of Technology Malang is one the facilities and infrastructure that provides various services for providing academic information, while there are collections such as research results, papers, articles, theses postgraduate theses, loan transaction data so far not used further. to also explore patterns information might be valuable use in evaluating book other documentation. Researchers have initiated produce an application can group visitors borrowers using K-Means method, helping librarians evaluate on visits borrowing ITN library.
 This a Research Development based website-based applications, method thesis product develope needed include system only computers , accessed by library staff.
 The results this study form website application, has feature, namely provide analysis borrowers, functional testing whole successful running well, user testing, it known percentage respondents 50% Very Good, 48% Good 2% Not concluded all features run well Mozilla Firefox 83.0 Google Chrome 87.0.4280.88 browsers, majority users rated very usage.