Pengembangan Aplikasi Antarmuka Layanan Big Data Analysis

Gede Karya • Veronica S. Moertini
Journal article Jurnal Rekayasa Sistem dan Teknologi Informasi • December 2017 Indonesia

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(Bahasa Indonesia, 8 pages)

Abstract

In the 2016 Higher Competitive Grants Research (Hibah Bersaing Dikti), we have been successfully developed models, infrastructure and modules of Hadoop-based big data analysis application. It has also successfully developed a virtual private network (VPN) network that allows integration and access to the infrastructure from outside the FTIS Computer Laboratorium. Infrastructure and application modules of analysis are then wanted to be presented as services to small and medium enterprises (SMEs) in Indonesia. This research aims to develop application of big data analysis service interface integrated with Hadoop-Cluster. The research begins with finding appropriate methods and techniques for scheduling jobs, calling for ready-made Java Map-Reduce (MR) application modules, and techniques for tunneling input / output and meta-data construction of service request (input) and service output. The above methods and techniques are then developed into a web-based service application, as well as an executable module that runs on Java and J2EE based programming environment and can access Hadoop-Cluster in the FTIS Computer Lab. The resulting application can be accessed by the public through the site http://bigdata.unpar.ac.id. Based on the test results, the application has functioned well in accordance with the specifications and can be used to perform big data analysis. Keywords: web based service, big data analysis, Hadop, J2EE

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Jurnal Rekayasa Sistem dan Teknologi Informasi

Jurnal RESTI: Rekayasa Sistem dan Teknologi Informasi is a peer-reviewed journal dedicated to the... see more