基于智能手机短信自动回复服务的种植业商品价格信息播报器的设计与实现

Muhammad Faisal, Rahman, Fadly Shabir, Ida
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引用次数: 1

摘要

印度尼西亚的种植园部门对国内生产总值(GDP)贡献巨大。不仅是当地,棕榈油、可可、橡胶、咖啡和胡椒等种植园产品已成为国际贸易商品,并使印度尼西亚成为这些商品贸易的主要国家之一。具有讽刺意味的是,由于印尼盾汇率不稳定导致的价格波动,作为贸易链初始来源的农民往往无法获得最大利益。这种不稳定为欺诈交易者提供了在农民层面操纵价格的机会。作为价格调控者和经济公正的保障者,政府有责任将价格社会化,作为对农民的一种长期保护。问题是种植区和农民的住宅分散在偏远地区,政府很难随时实现价格社会化。因此,基于短信自动回复的农产品价格波动信息系统的存在,可以作为一种信息共享的解决方案。消息传递系统的应用和测试100%成功,在每个级别上都没有发送消息失败。测试采用3种系统状态场景进行,第一种:服务器状态为死状态,第二种:智能手机状态为死状态,第三种:手机处于网络覆盖之外。每个场景使用3个智能手机为3组短信发送者,每组有10个不同的手机。测试结果表明,在蜂窝通信基础设施的支持下,该系统可以作为商品价格信息的另一种分发方式,在偏远地区运行良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of Plantation Commodities Price Information Broadcaster via Autoreply Short Message Service on Smartphone
Indonesia’s plantation sector contributes significantly to gross domestic product (GDP). Not only local, plantation products such as oil palm, cocoa, rubber, coffee and pepper have become international trade commodities, and place Indonesia as one of the main countries in the trading of these commodities. Ironically, farmers as the initial source of the trade chain often do not get maximum benefits, due to price fluctuations as a result of the instability of the rupiah exchange rate. This instability is an opportunity for fraudulent traders to play prices at the farmer level. The government as a price regulator and guarantor of economic justice, is responsible for socializing prices as a form of prolonged protection for farmers. The problem is that the plantation area and the farmer’s dwellings are scattered to remote areas, making it difficult for the government to socialize prices at any time. Therefore, the presence of an information system on the spread of agricultural commodity prices based on SMS auto-reply, can be an information sharing solution. The application and testing of the message delivery system was 100% successful, without failure to send messages at each level. The test is carried out with 3 system condition scenarios, first: the server condition is dead, second: the smartphone is dead and third: the cellular phone is out of network coverage. Each scenario uses 3 smartphones for 3 groups of SMS senders, with each of 10 different cell phones. The test results show this system can be an alternative distribution of commodity price information with the support of cellular communication infrastructure that functions well into remote areas.
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