E3S Web Conf.
Volume 202, 2020The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|Number of page(s)||13|
|Section||Green Infrastructure and Resilience|
|Published online||10 November 2020|
Decision Support System for Determining Critical Land in Klaten Regency
1 Department of Computer Engineering, Faculty of Engineering, Diponegoro University, Indonesia
2 Department of Geodetic Engineering, Faculty of Engineering, Diponegoro University, Indonesia
3 Department of Urban and Regional Planning Engineering, Faculty of Engineering, Diponegoro University, Indonesia
4 Department of Civil Engineering, Faculty of Engineering, Diponegoro University, Indonesia
5 Department of Geological Engineering, Faculty of Engineering, Diponegoro University, Indonesia
* Corresponding author: firstname.lastname@example.org
Critical land has become a problem in the world. Critical land is very detrimental to the health of the land. Several factors cause the land to become critical. One of them is the use of land that is not by the capabilities of the land. If no repairs made, the land will be physically, chemically, and biologically damaged. Klaten Regency is one of the regencies in Central Java Province, which has quite extensive critical land. It is necessary to monitor and improve land quality regularly to avoid critical land problems. Data and information on critical land obtained from Klaten Regency processed into a decision support system. Decision Support System uses a combination of Analytical Hierarchy Process (AHP) and Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) methods. In this research, a Web-based Decision Support System created to determine the critical land area in Klaten Regency. The information system created has an alternative menu and criteria that determine the potential of critical land in Klaten Regency, making it easier for users to obtain information.
Key words: Critical Land / Data / Information / Decision Support System
© The Authors, published by EDP Sciences, 2020
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.