RANCANG BANGUN SISTEM INFORMASI GEOGRAFIS PENGEPUL KOPI BERBASIS ANDROID

I. D. G. S. Kendrawan, D. C. Khrisne, G. Sukadarmika
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引用次数: 1

Abstract

The low income of coffe farmers in Indonesia is  caused several factor, large production cost, non standart prices and high transport costs. In this paper we try to overcome this problem by establishing a geographic information system for coffe collectors, that will help farmers find an appropriate buyer with minimal shipping costs to maximized their profits. This research has been successfully implemented using Google Maps API for mapping the location and built as an Android based mobile devices application. Application on the side of the collectors can input different types of coffe prices to be purchased. While the system is on the side of farmers can search for  coffe collectors location. The test results using the system usability scale (SUS), the respondents gave a score on the farmer’s average of 74.7 and the side of the collector of 71.1 which means it has value adjective rating = excellent, grade scale = c and acceptability ranges = acceptable.
设计一个ANDROID驱动的咖啡包地理信息系统
印尼咖啡农收入低是由生产成本大、价格不规范、运输成本高等因素造成的。在本文中,我们试图通过为咖啡收集者建立一个地理信息系统来克服这个问题,该系统将帮助农民找到一个合适的买家,以最小的运输成本来最大化他们的利润。本研究已成功地使用Google Maps API来绘制位置,并构建为基于Android的移动设备应用程序。在收集器的一侧的应用程序可以输入不同类型的咖啡价格要购买。而在系统旁边的农民可以搜索咖啡收集者的位置。测试结果使用系统可用性量表(SUS),受访者给出的农民平均得分为74.7分,收集方得分为71.1分,这意味着它具有价值形容词评级=优秀,等级量表= c,可接受范围=可接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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