MONITORING SAMPAH PADA DRAINASE BERBASIS THINGSPEAK DENGAN METODE BASED ON IMAGE PROCESSING

Abstract

Flood disasters in Indonesia are of great concern, this is based on BNPB's Indonesian disaster information data that the occurrence of disasters in the last 5 years from 2015-2019 has increased. One of the cities threatened by this disaster is Yogyakarta City in TPS Piyungan. TPS Piyungan has not been able to accommodate the garbage from other areas so that many garbage trucks that finally throw the trash on the roadside. In the event of rain, there will be a water channel to be contributed by the garbage that carried the rainwater flows. Under these conditions, a system that can monitor puddles and rubbish in drainage in real-time is needed based on the Thingspeak framework and uses a base on image processing method. The existence of this system, BPBD will be easier to respond and solve the problem of standing water and avoid floods. This monitoring system has the working principle of using the Halpeak web server by applying the concept of the Internet of Things (IoT) in sending data by sensors and can be monitored directly via smartphone so that information can be received in real-time. The altitude level in this system is divided into 3 levels: normal level, alert / alert level, and alert level. Starting from this case, this system will be implemented in the City of Yogyakarta as an effort to prevent flood disasters and minimize the increase in waste based on the records of the Yogyakarta City Environment Agency (DLH) in TPS Piyungan.