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Supply Delivery Monitoring System Using Mobile Device Based on Internet of Things Case Study (Pt. Semen Gresik Persero Tbk.)

机译:基于物联网的移动设备物资供应监控系统案例研究(Pt。Semen Gresik Persero Tbk。)

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Indonesia's industrial development in the transportation and logistics sector will experience a 15.4% increase until 2020 in accordance with the calculations of one of the global market research institutions, Frost and Sullivan. In dealing with this change, a good management is needed from planning to the distribution process to estimate the time when shipping goods. This final project will design and create a system that can optimize the route by congestion, damaged roads, and travel distance using the Djikstra method which considers the weight of each node as a representation of the condition. In addition to optimizing, the system will monitor by looking at the list of active and operating trucks along with notifications containing a list of shipments for each distributor and estimated delivery time. In this application a map will be shown and provided information in the form of pop-ups and colors on each road that describes the current condition of the road. The report on road conditions is directly input by the driver to provide notifications on maps so that the application can provide alternative ways to avoid congestion and damaged roads. The results of this study indicate that, in field trials, this application has succeeded in determining the fastest route based on the shortest distance and the weight on the damaged road using the Djikstra algorithm. The travel monitoring system has been able to receive and display travel conditions that are visualized in the form of symbols and lines on a map managed by the admin in real time.
机译:根据全球市场研究机构之一弗若斯特(Frost)和沙利文(Sullivan)的计算,到2020年,印尼在运输和物流业的工业发展将增长15.4%。为了应对这种变化,需要从计划到分配过程的良好管理,以估计运送货物的时间。该最终项目将设计和创建一个系统,该系统可以使用Djikstra方法(通过将每个节点的权重表示为状况)通过拥挤,损坏的道路和行进距离来优化路线。除了进行优化之外,该系统还将通过查看运行中的卡车和正在运行的卡车清单以及包含每个分销商的装运清单和预计交货时间的通知进行监视。在此应用程序中,将显示地图并以弹出窗口和颜色的形式提供信息,以描述每条道路的当前状况。驾驶员可以直接输入道路状况报告,以在地图上提供通知,以便应用程序可以提供其他方法来避免拥堵和道路损坏。这项研究的结果表明,在野外试验中,该应用已成功地使用Djikstra算法根据最短距离和受损道路上的重量确定了最快的路线。该旅行监控系统已经能够实时接收和显示由管理员管理的地图上以符号和线条形式可视化的旅行条件。

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