| Issue |
E3S Web Conf.
Volume 73, 2018
The 3rd International Conference on Energy, Environmental and Information System (ICENIS 2018)
|
|
|---|---|---|
| Article Number | 13025 | |
| Number of page(s) | 4 | |
| Section | System Information and Decision Support System | |
| DOI | https://doi.org/10.1051/e3sconf/20187313025 | |
| Published online | 21 December 2018 | |
Implementation of Web Service in Processing of Data Base Financing Costumer Using Fragmentation Method
1 Magister Program of Information Systems, School of Postgraduate Studies, Diponegoro University, Semarang - Indonesia
2 Department of Computer Science, Faculty of Science & Mathematics, Diponegoro University, Semarang - Indonesia
3 Department of Information System, STMIK Ichsan, Gorontalo - Indonesia
* Corresponding author: endhykasim@gmail.com
This research is to design the Implementation system of Web service of consumer financing data processing based on fragmentation in motor vehicle loan financing in accordance with the pattern of data processing and information needs at that location, then implement the design to know and measure the level of efficiency (ease), effectiveness (speed), accurate (data accuracy), and security (data security) and the process of disseminating data and information from the design offered. Implementation of consumer financing data processing is a database fragmentation system, wherein one network scale using more than one DBMS, DBMS used is MySQL and PostgreSQL. PostgreSQL is used for web-based applications developed with PHP programming language using AJAX Technology, and MySQL developed using Notepad ++ Application. Data connection process using Web Service. Based on the result of the research, it can be concluded that Webservice Implementation for fragmentation based consumer financing data processing facilitates the updating of consumer financing data in terms of ease, speed, accuracy, and data security.
Key words: Fragmentation / Web Service / Financing / Consumer
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.