支持决策系统使用AHP和SAW方法确定了雨燕(RBW)家的位置

Anjar Pradipta, Muh. Amin, Andi Tenri Sumpala, M. N. Sutoyo
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引用次数: 2

摘要

燕窝可以作为汤的配料和药品的原料出售。由于燕窝的价格非常昂贵,所以很多人开始花大量的钱来建造燕窝(RBW)。但是建造RBW和饲养燕子需要一个精确和最佳的位置。本研究旨在利用层次分析法(AHP)和简单加性加权法(SAW)来确定燕子屋的确切位置,从而建立一个计算机化燕子屋选址系统,以减少选址中的损失和误差。AHP方法用于估计所确定的每个参数的值,而SAW方法用于评估水平。根据选址高度、距市中心(工业)距离、气温、距稻田/人工林距离、距水路距离、距其他建筑物距离等6项标准,构建的决策支持系统可作为解决方案的选择,方便农民和燕窝创业者确定燕窝的准确和最优选址。
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 Menentukan Lokasi Rumah Burung Walet (RBW) Menggunakan Metode AHP dan SAW
Swallow's nests are sold as ingredients for soups and raw materials for medicines. Because the price of swiftlet nests is very expensive so many people have started to build a swallow bird house (RBW) by spending a considerable amount of money for swallow bird cultivation. But to build RBW and grow swallow birds requires an exact and optimal location. This study aims to create a system for determining the location of a computerized swallow house construction by implementing the Analytic Hierarchy Process (AHP) method and the Simple Additive Weighting (SAW) method in determining the exact location of swallow bird house construction to reduce the level of loss and error in site selection. The AHP method is used in estimating the value of each parameter that is determined while the SAW method is used in assessing levels. Based on the 6 criteria for swallow bird locations, namely location height, distance from the city center (industry), air temperature, distance from rice fields / plantations, distance from waterways, and distance from other buildings, the decision support system built can be a choice of solutions to facilitate farmers and swallow nest entrepreneurs in determining the exact and optimal location of swallow bird houses.
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