Automatic Waste Sorter Machine using Proximity Sensor

Vivi Tri Widyaningrum, Ahmad Sahru Romadhon, Rahmawati Safitri

Abstract

The waste problem is not a new thing anymore in Indonesia. Public awareness is still lacking not to litter. One solution that can be done is to make a special trash bin so that it is easy when sorting out which the waste can be disposed of at a landfill or to be recycled. Therefore, in this study an automatic waste sorter machine was made. This machine can sort metal trash, plastic bottles, or not both, which are sorted the waste will be put in different bins according to type. In this machine, Arduino Mega 2560 is used as the main brain, which will work according to the input obtained from PIR sensor, LDR sensor, inductive proximity sensor, capacitive proximity sensor, and ultrasonic sensor. Testing on automatic waste sorter machine is carried out using five types of waste, namely cans, non-transparent plastic bottles that contain water, transparent plastic bottles, transparent plastic, and report books. From the test results obtained that the automatic waste sorter machine can detect waste entering the trash can according to its type by 72%. Whereas 28% experienced a detection error, which was the biggest error occurred in the detection of transparent empty plastic bottles

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Paper Citation


in Harvard Style

Widyaningrum V., Romadhon A. and Safitri R. (2020). Automatic Waste Sorter Machine using Proximity Sensor.In Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - Volume 1: HIMBEP, ISBN 978-989-758-500-5, pages 264-270. DOI: 10.5220/0010331102640270


in Bibtex Style

@conference{himbep20,
author={Vivi Tri Widyaningrum and Ahmad Sahru Romadhon and Rahmawati Safitri},
title={Automatic Waste Sorter Machine using Proximity Sensor},
booktitle={Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - Volume 1: HIMBEP,},
year={2020},
pages={264-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010331102640270},
isbn={978-989-758-500-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - Volume 1: HIMBEP,
TI - Automatic Waste Sorter Machine using Proximity Sensor
SN - 978-989-758-500-5
AU - Widyaningrum V.
AU - Romadhon A.
AU - Safitri R.
PY - 2020
SP - 264
EP - 270
DO - 10.5220/0010331102640270