CD Skripsi
Rancang Bangun Sistem Pemilihan Sampah Organik Dan Anorganik Berbasis Internet Of Things (Iot) Di Sungai
Abstract
Waste is the residue of human activities or natural processes that is no longer used, discarded, and has no economic value for its owner. The problem of waste in waterways, especially rivers, is a crucial environmental issue. The accumulation of trash in rivers not only pollutes the environment and damages aquatic ecosystems, but can also cause flooding. This thesis designs an IoT-based Organic and Inorganic Waste Sorting Monitoring System that can overcome this problem. This design uses capacitive, inductive, and infrared proximity sensors to detect or sort waste, and ultrasonic sensors to measure the height of waste. The waste height data read will be sent via NodeMCU ESP8266 to Blynk. In this process, Blynk can monitor the height of waste via IoT, and the data sent is connected to the internet. Based on the test results, this tool uses infrared, capacitive, and inductive proximity sensors so it can sort four types of waste samples, leaves, tree bark (organic), plastic, and cans (inorganic). The ultrasonic sensor successfully reads the height of the waste at distances of (1 cm – 10 cm). The data read by the sensor will be sent to Blynk and displayed correctly. A notification that the trash is full will be sent via the Blynk software. The delay obtained from 1049 data sent was 46.23 seconds, with an average delay of 0.04413 seconds.
Keywords: waste, IoT, capacitive proximity, inductive, infrared, ultrasonic, NodeMCU, Blynk
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