{{overview}} {{features}} http://www.softaculous.com/demos/SLiMS http://www.softaculous.com/softwares/others/SLiMS 115702349 https://slims.web.id/web/ 9.6.1 19 1 11-07-2023 index.php?p=login 4.5.4 SLiMS (Senayan Library Management System) is a free and open source Library Management System. It is build on free and open source technology like PHP and MySQL.

SLiMS provides many features such as bibliography database, circulation, membership management and many more that will help "automating" library tasks.

SLiMS is licensed under GNU GENERAL PUBLIC LICENSE V3.
  • Online Public Access Catalog (OPAC) with thumbnail document image support (can be use for book cover), Simple Search and Advanced Search mode
  • Digital contents/files (PDF, DOC, RTF, XLS, PPT, Video, Audio, etc.) attachment in each bibliographic record support
  • Documents record detail in MODS (Metadata Object Description Schema) XML format
  • RSS (Really Simple Syndication) XML format for OPAC
  • OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) in Dublin Core format for metadata harvesting purpose
  • Bibliographic/catalog database management with book cover image support
  • Serial publication control
  • Document items (book copies) management with barcode support
  • Master Files management to manages document referential data such as GMD, Collection Types, Publishers, Authors, Locations, Authors and Suppliers
  • Circulation support with following sub-features :
    • Loan and Return transaction
    • Collections reservation
    • Quick return
    • Configurable and flexible Loan Rules
    • Membership management
    • Stock Taking module to help Stock Op name process in library
    • Reporting and Statistics
  • System modules with following sub-features :
    • Global system configuration
    • Modules management
    • Application Users and Groups management
    • Holiday settings
    • Barcodes generator utility
    • Database backup utility
  • Responsive user interface
  • 3rd party bibliographic records indexing support with Sphinx Search and MongoDB
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