Analisis dan Penerapan Metode Tuning pada Basis Data Funding


  • Indrajani Indrajani Bina Nusantara University



Database, Tuning, Funding, Analytical Report


The purpose of this research is to analyze, design, and implement tuning for the funding database, which include data mart processing that will be used in the formation of analytical reports. The research method used is literature study from a variety of journals, books, e-books, and articles on the internet. Fact finding
techniques are also done by analyzing, collecting, and examining the documents, interviews, and observations. Other the research methods are also used to analyze and design database such as SQL tuning, Partitioning, and Indexing. The results obtained from this research is an implementation tuning for the funding database, in which if it is implemented, it will improve performance significantly. The conclusion is by implementing tuning for the funding database, it can help the bank to improve the performance of database system and decrease time to produce analytical reports.


Plum Analytics


Anonim1. (2007). Partioning in Oracle Database 11g. USA: Oracle Corporation.

Cecilia, C., Mihai, G. (2011). Increasing Database Performance using Indexes. Database Systems Journal, II(2):13.

Chan & Immanuel. (2008). 2 days + Performance Tuning Guide 10g Release 2 (10.2). USA: Oracle Corporation.

Connolly, T., Begg, C. (2010). Database System; a Practical Approach to design, Implementation and Management (5 ed.). England: Pearson Education.

Hitesh, K. S., Aditya, S., Ranjit, B. (2012). A Framework for Automated Database TuningUsing Dynamic SGA Parameters and Basic Operating System Utilities. Database Systems Journal, III(4): 25.

Indrajani. (2011). Bedah Kilat 1 Jam – Pengantar dan Sistem Basis Data. Jakarta, Jakarta, Indonesia: Elex Media Computindo.

______. (2011). Perancangan Basis Data Dalam All In 1. Jakarta, Jakarta, Indonesia: Elex Media Computindo.

______. (2014). Rancang Bangun Model Aplikasi Tuning Pada Unit Bisnis Kredit Konsumer. In C. L. Bandung (Ed.). Bandung: JBPTITBPP.

Indrajani, Wihendro, & Safan. (2013). Rancang Bangun Konseptual Basis Data Klinik 24 Jam. Seminar Nasional Teknologi Informasi & Multimedia 2013. Yogyakarta: STMIK AMIKOM.

Millsap & Garry. (2008). Optimizing Oracle Performance: A Practitioner’s Guide to Optimizing Response Time. Cambridge: O’Reilly.






Abstract 476  .
PDF downloaded 497  .