AHP COMPARATIVE JUDGEMENT ON MOBILE COMMERCE COMPUTER SHOP APPLICATION IN SEMARANG CITY USING GOOGLE MAPS API BASED ANDROID

A. Daru, Khoirudin Khoirudin, Muhammad Faizal Agung Widodo
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Abstract

In terms of activities in computer stores, many potential customers who come, then go home without making a transaction. This happens because consumers who come to the store want to know the price information, brand stock, and promotion first and then compare it with other stores. The decision recommendations generated by AHP are approaching expectations as they are examined from different perspectives and this method is very applicable to anyone decision makers because input is not only based on logic in general, but also intuition. The prototyping model implements rapid development and testing of the working model of new applications through repeated interaction processes. The object priority used based on AHP Comparative Judgment inference system calculation is (1) stock; (2) price; (3) distance (location). the process of comparison between criteria has been performed in a consistent manner consistent with the random consistency index of the normative analytical hierarchy process comparative judgment matrix. So that the output list that is displayed to the user can be used as the best reference product selection. Implementation of computer information system store application in Semarang City with AHP (Analyitical Hierarchy Processs) Comparative Judgment method can be accessed by Android users to recommend products to be purchased based on the criteria of availability of goods, price and distance practically anytime and anywhere.
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基于ANDROID的GOOGLE MAPS API对SEMARANG市移动商务计算机商店应用的AHP比较评判
就电脑商店的活动而言,许多潜在顾客来了就走了,没有交易。之所以会出现这种情况,是因为来到这家店的消费者首先想知道价格信息、品牌库存、促销活动,然后再与其他店进行比较。AHP生成的决策建议正接近预期,因为它们是从不同的角度进行检查的,这种方法非常适用于任何决策者,因为输入不仅基于一般的逻辑,而且基于直觉。原型模型通过重复的交互过程实现新应用程序工作模型的快速开发和测试。基于AHP比较判断推理系统计算的对象优先级为(1)存量;(2)价格;(3)距离(位置)。标准之间的比较过程以与规范分析层次过程比较判断矩阵的随机一致性指标一致的方式进行。以便显示给用户的输出列表可以作为选择产品的最佳参考。运用层次分析法(AHP)比较判断法在三宝垄市实现计算机信息系统商店应用,Android用户可以随时随地根据商品可得性、价格、距离等标准进行购买推荐。
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