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

Abstract

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.