Rizal Fathoni Aji

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

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.

The application of big data using MongoDB: Case study with SCeLE Fasilkom UI forum data

Big Data is a condition in which data size in a database is very large so it is difficult to be managed. An e-Learning application, like SCeLE Fasilkom UI (scele.cs.ui.ac.id), also has a very large data. SCeLE has hundreds of forum data, and each forum has at least 4000 threads of discussion. In addition, one thread can have at least dozens or hundreds posts. Therefore, it may further experience data growth problem, which will be difficult to be handled by RDBMS, such as MySQL that is currently used. In order to solve this problem, a research been conducted to apply Big Data in SCeLE Fasilkom UI, which implementation is aimed to increase SCeLEs data management performance. The implementation of Big Data in the research used MongoDB as the systems DBMS. The research result showed that MongoDB obtain better results than MySQL in SCeLE Fasilkom UI forum data case in terms of speed.