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PENERAPAN GRAPH DATABASE UNTUK SISTEM REKOMENDASI KOLEKSI PERPUSTAKAAN DI ERA BIG DATA

Journal of Documentation and Information Science

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Title PENERAPAN GRAPH DATABASE UNTUK SISTEM REKOMENDASI KOLEKSI PERPUSTAKAAN DI ERA BIG DATA
 
Creator Efendi, Ahmad Fiqi
Setiadi, Tedy
 
Subject Graph database
Library
Big Data
Recommendation System
 
Description The library in its development utilizes information systems to provide easy access to collections by providing digital libraries. Digital libraries really need database support that is suitable to handle the needs of fast and accurate data access in digital storage space. Currently in the application of digital libraries in Higher Education still using traditional databases namely relational databases. The disadvantages of this database system are that the data is stored in a structured manner so that the difficulty when dealing with changes in data structure is due to the development of volume and data variations. Another disadvantage is that it is difficult to handle varied data relationships that arise between collections and users so that requiring complicated join operations results in slow database operations. In this paper, we will explain the application of graph database as a solution offered for problems that occur in digital libraries. In this study interviews and observations were used to collect data and determine input, process and output needs. Implementation is done by designing a database graph that fits the needs of the library, then executes the query in accordance with the design. In library information systems, the relationship that exists between collection data and user data is very necessary. Graph data base is the right alternative to describe relationships (networks) that occur between collections and users. By utilizing the relationships that are intertwined between the data, the library collection recommendation system can be explained based on these relationships.
 
Publisher Association of Indonesian Library and Information Professionals
 
Date 2020-10-26
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://jodis.id/index.php/jodis/article/view/149
10.33505/jodis.v3i2.149
 
Source Journal of Documentation and Information Science; Vol. 3 No. 2 (2019): September; 143-150
2502-6003
10.33505/jodis.v3i2
 
Language eng
 
Relation https://jodis.id/index.php/jodis/article/view/149/pdf
 
Rights Copyright (c) 2020 Journal of Documentation and Information Science
http://creativecommons.org/licenses/by-nc-sa/4.0
 


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