Issue |
MATEC Web Conf.
Volume 215, 2018
The 2nd International Conference on Technology, Innovation, Society and Science-to-Business (ICTIS 2018)
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Article Number | 01006 | |
Number of page(s) | 7 | |
Section | Emerging Technologies and Applied Science | |
DOI | https://doi.org/10.1051/matecconf/201821501006 | |
Published online | 16 October 2018 |
Decision Support System Of Fruit Cultivation Using Technique For Other Reference Method By Similarity To Ideal Solution (TOPSIS)
Institut Teknologi Padang, Informatics Engineering Study Program, Padang, Indonesia
Fruit cultivation is very promising for farmers. But there are problems faced by farmers, namely the lack of understanding of farmers with natural conditions that can affect crop yields. So with the selection of plants that are not appropriate, it does not get satisfactory results. Various types of fruit crops can be cultivated by farmers, such as oranges, guava, rambutan, watermelon, avocado, and so on. But it should be noted, that in the cultivation is expected to be cultivated plants in accordance with natural circumstances. This Designing created application to help determine the cultivation of fruit crops. In determining the cultivation of fruit crops in accordance with the criteria using the Technique Method for Others Reference by Similarity to Ideal Solution (TOPSIS) as a tool to facilitate decision-making process with several criteria of comparison, namely: temperature, sunlight, rainfall and humidity, height, harvest, selling power, susceptibility to disease, and care levels. This application is made based on the web by using PHP as a programming language and MySQL as the data storage. The use of decision support system application of the cultivation of these fruit crops can provide an output or alternative in accordance with the natural state of the area. And helps in making decisions to determine which fruits are suitable for cultivating for users based on selected criteria.
© 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 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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