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

Abstract

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.