智能土地与作物种类一致的决定系统:锡克卡区病例研究

Yanter Wilve Baly Woda, I. Hermadi, dan Marimin
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引用次数: 2

摘要

西卡区是一个干燥的热带气候地区。西卡地区的大部分植物,尤其是粮食作物,都依赖于降雨。少雨加上西卡区天气异常,使西卡区被列为受粮食不安全威胁的地区。粮食作物种植经常遇到障碍,其中之一是确定农业用地是否适合种植某些粮食作物,因为粮食作物的生产力取决于所使用面积的质量。因此,本研究旨在开发一个智能决策支持系统,以确定土地是否适合种植粮食作物。本研究采用模糊层次分析法,根据影响土地与粮食作物类型相关性的参数来确定替代方案的价值。结果表明,玉米粮食作物是三种备选粮食作物中的最佳替代作物,其值为0.339,然后利用模糊推理系统方法计算土地适宜性。哥蓬村和歌亭村的土地适宜性指数为81。关键词:模糊层次分析法,模糊推理系统,智能决策支持系统,土地适宜性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SISTEM PENDUKUNG KEPUTUSAN CERDAS KESESUAIAN LAHAN DENGAN JENIS TANAMAN PANGAN: STUDI KASUS KABUPATEN SIKKA
Sikka District is an area with a dry tropical climate. Most of the plants especially food crops in Sikka District depend on rainfall. The lack of rain coupled with the weather anomalies occurring in Sikka District make Sikka District categorised in the area threatened by food insecurity.  Food crop cultivation often experiences obstacles, one of which is in determining the suitability of agricultural land for the advancement of certain food crops because the productivity of food crops depends on the quality of the area used. Therefore, this study aimed to develop a smart decision support system to determine land suitability with food crops. This study used a fuzzy analytic hierarchy process to determine the value of alternatives based on parameters that affect the relevance of the land with the type of food crop.  The results showed that corn food crops were the best alternative crop with a value of 0.339 of the three alternative food crops studied and then use the method fuzzy inference system to calculate the amount of land suitability. Kopong Village and Geliting Village were the best villages with land suitability values 81. Keywords : fuzzy analytic hierarchy process, fuzzy inference system, intelligent decision support systems, land suitability
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