Enhancing query performance of library information systems using NoSQL DBMS: Case study on library information systems of Universitas Indonesia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Library Automation and Digital Archive (Lontar) is a liblary information system developed by Universitas Indonesia and used by its main library. Rapid increase of library collections will soon make query performance of current SQL DBMS, which is MySQL, not fast enough to satisfy users and need to be complemented by NoSQL database, an emerging technology that specially developed for managing big data. The goal of this research is to implement and analyze the usage of NoSQL database to improve the query performance of Lontar. MongoDB is selected as NoSQL DBMS and the result shows that MongoDB is signficantly faster than MySQL.

Original languageEnglish
Title of host publication2016 International Workshop on Big Data and Information Security, IWBIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages41-46
Number of pages6
ISBN (Electronic)9781509034772
DOIs
Publication statusPublished - 6 Mar 2017
Event2016 International Workshop on Big Data and Information Security, IWBIS 2016 - Jakarta, Indonesia
Duration: 18 Oct 201619 Oct 2016

Publication series

Name2016 International Workshop on Big Data and Information Security, IWBIS 2016

Conference

Conference2016 International Workshop on Big Data and Information Security, IWBIS 2016
CountryIndonesia
CityJakarta
Period18/10/1619/10/16

Keywords

  • DBMS
  • Digital Library
  • MongoDB
  • MySQL
  • NoSQL Database

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