| Issue |
E3S Web Conf.
Volume 202, 2020
The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|
|
|---|---|---|
| Article Number | 14004 | |
| Number of page(s) | 12 | |
| Section | Decision Support System | |
| DOI | https://doi.org/10.1051/e3sconf/202020214004 | |
| Published online | 10 November 2020 | |
Decision Support Systems for Land Suitability Evaluation on Rice Cultivation using ELECTRE Method
1 Master of Information Systems, School of Postgraduate study, Diponegoro University, Indonesia
2 Departement of Physics, Faculty of Science and Mathematics, Diponegoro University, Indonesia
3 Departement of Physics, Faculty of Science and Mathematics, Diponegoro University, Indonesia
* Corresponding author: id.irchamali@gmail.com
Land suitability evaluation has an important role in determining the environmental boundaries of sustainable land resource management. The purpose of this study is to evaluate the suitability of land use in rice cultivation in Magelang, Indonesia. Environmental factors such as rainfall, drainage, depth, pH, organic matter content, slopes, and erosion level are used as criteria compared to 5 alternative lands (Sawangan, Mangunsari, Tirtosari, Podosoko, and Kapuhan). The ELECTRE method as one of the multi-criteria decision-making methods chosen to solve the concept ambiguity problem in land suitability assessment. The result shows that the application of this method is quite effective for decision making so that alternatives are obtained that have the highest land use suitability compared to other alternatives for environmentally friendly rice cultivation. Finally, a decision support system with a web-based ELECTRE Method is presented to facilitate decision-makers in obtaining more accurate land suitability information.
Key words: Land suitability evaluation / sustainable land resources / ELECTRE method / decision-making
© 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.
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