RANCANG BANGUN ALAT PEMILAH SAMPAH OTOMATIS DENGAN KONSEP BINARY TREE BERBASIS ARDUINO
Total View This Week0
Total View This Week0
Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
AZHAR HIDAYAT, DANU
Alvianingsih, Ginas
Oktaviana Putri, Tri Wahyu
Alvianingsih, Ginas
Oktaviana Putri, Tri Wahyu
Subject
Teknik Elektro
Datestamp
2022-10-31 08:28:57
Abstract :
The accumulation of waste is a problem that we must consider. Managing the waste can reduce the accumulation of waste. Sorting waste can help with the problem, but people have difficulty distinguishing the types of waste and don't want to waste their time doing it. This research is expected to help the community sort waste and help waste management. Research conducts the design and builds of an automatic waste sorting tool with the Arduino-based binary tree concept, will test the tool's characteristics, and review the application of the binary tree concept on the tool. This tool is designed using Arduino mega 2560 as a controller of sensors and actuator. HC-SR04 ultrasonic sensor as an object detector has an error in stabilization the most distance is 25%. Inductive proximity sensors as metal detectors have a 100% success rate, while capacitive proximity sensors as organic waste detectors have a success rate of 85.7%. Of the 90 experiments with garbage, the tool has a success rate of 82,2%, and This tool has applied the concept of binary tree in sorting waste automatically.
The accumulation of waste is a problem that we must consider. Managing the waste can reduce the accumulation of waste. Sorting waste can help with the problem, but people have difficulty distinguishing the types of waste and don't want to waste their time doing it. This research is expected to help the community sort waste and help waste management. Research conducts the design and builds of an automatic waste sorting tool with the Arduino-based binary tree concept, will test the tool's characteristics, and review the application of the binary tree concept on the tool. This tool is designed using Arduino mega 2560 as a controller of sensors and actuator. HC-SR04 ultrasonic sensor as an object detector has an error in stabilization the most distance is 25%. Inductive proximity sensors as metal detectors have a 100% success rate, while capacitive proximity sensors as organic waste detectors have a success rate of 85.7%. Of the 90 experiments with garbage, the tool has a success rate of 82,2%, and This tool has applied the concept of binary tree in sorting waste automatically.
Download
book
BibTex
Latex, Jabref
cloud_download
Original Resource
url resource Institution
