The existence of a university library as an information center is required to provide services in accordance with the criteria and the needs of users being served. Users who utilize the services of university library are dominated by students who are classified as net generation. Today's generation called "Net generation," has different behavior pattern in seeking information compared to the previous generation. Understanding this will help librarians make innovations in library services that will ultimately improve number of the library visitors from this net generation. This study focused on modeling in the front office library service, designing the projection and analyzing the simulation results with cost benefit analysis. The system dynamics method allows writers to conduct comprehensive research to study the behavior and improve system performance. From the simulation results of pessimistic and optimistic projections, the total physical visitor of optimistic projection can achieve 23% higher than pessimistic projection. The increase in total website visitor on optimistic projection reached 169.701 visits at month 36. Meanwhile in the pessimistic projection, total website visitors reached 118.440 by the end of the 36th month. According to cost benefit analysis, the pessimistic projection provides a B/C ratio of 0.97, meanwhile the optimistic projection provides a B/C ratio of 1.38152. Optimistic projection has a better value than the pessimistic projection in terms of cost benefit analysis. Optimistic projection proposes the implementation of visual search, online acquisition, upgrading the server hardware, installation of Wi-Fi, improved comfort furniture, improved sanitation, additional opening hours, friendliness and expertise of library staffs in delivering services and a library exhibition.

Original languageEnglish
Pages (from-to)61-65
Number of pages5
JournalAdvanced Science Letters
Issue number1
Publication statusPublished - Jan 2014


  • Cost benefit analysis
  • Information systems
  • Library
  • Net generation
  • System dynamics


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