Design Smart Trash Based On the Inductive Proximity Sensor
DOI:
https://doi.org/10.59653/ijmars.v2i01.394Keywords:
Segregation Waste, smart trash, Sensor Inductive Proximity, arduino unoAbstract
Smart waste management, including a waste sorting system based on type, strongly supports the "Intelligent waste management and categorization system" program to support the development of modern cities. Therefore, this research is related to the design of smart waste based on an inductive distance sensor that uses Arduino Uno as a microcontroller. The method used in this research is research and development which consists of mechanical design and control system programming. The results obtained from this research are an intelligent waste design based on an inductive distance sensor that uses Arduino Uno as a microcontroller and uses a conveyor system as a waste transporter. The test results on the ultrasonic sensor were that several objects could be detected at a distance of 15 cm and the conveyor stopped for 0.5 seconds. The test results on the proximity sensor are that the object is read by the proximity sensor when the object is 2 cm from the sensor, and if the object is metal waste then the servo motor moves 30 degrees to the right, if it is non-metallic waste then the servo motor moves 30 degrees to the left
Downloads
References
Anus Wuryanto, N. H. (2019). Perancangan Sistem Tempat Sampah Pintar Dengan Sensor HC-RSF04. Paradigma – Jurnal Informatika dan Komputer, 55-60.
Aziz, M. A. (2023). Zero-Smart Recycle Bin : IoT-Object Detection Based Smart Trash Bin System. Multidisciplinary Applied Research and Innovation, 48-53.
Emmanuel Atta Williams, J. B. (2016). Design and Implementation of a Microcontroller-Based Automatic Waste Management Sorting Unit for a Recycling Plant. American Journal of Engineering Research (AJER), 248--252.
Fatima Betul Demir, U. U. (2023). A Sustainable Life: A Study on the Recycling Attitudes of Secondary School Students. Discourse and Communication for Sustainable Education, 137-151.
Mohammad Kamrul Hasan, M. A. (2022). Smart Waste Management and Classification System for Smart Cities using Deep Learning. International Conference on Business Analytics for Technology and Security (ICBATS). IEEE Xplore.
Nazwa AhadaAnis, F. Z. (2020). MENJAGA KELESTARIAN HUTAN DAN SIKAP CINTA LINGKUNGAN BAGI PESERTA DIDIK MI/SD. El-Banar: Jurnal Pendidikan dan Pengajaran, 35-46.
Oktami Puadi, H. (2022). Perancangan Alat Pemilah Sampah Otomatis . JTEIN: Jurnal Teknik Elektro Indonesia, 1-14.
Rifath Jahan, M. J. (2020). Automated Waste Segregation System using IoT . International Research Journal of Engineering and Technology (IRJET), 6111-6115.
Rionopagel Pardede, H. S. (2022). SOSIALISASI BUDAYA HIDUP BERSIH MENGGUNAKAN TEKNOLOGI PEMILAH SAMPAH OTOMATIS BERBASIS PANEL SURYA. JMM (Jurnal Masyarakat Mandiri), 2895-2902.
Rosiana, E., & Perdana, R. (2022). Rancang Bangun Sistem Robot Pemilah Sampah Anorganik dengan Inductive Proximity dan LDR Sebagai Sensor. Building of Informatics, Technology and Science (BITS) , 1001-1009.
Siti Baro'ah, S. M. (2020). PENANAMAN CILI (CINTA LINGKUNGAN) PADA SISWA MELALUI PROGRAM LINGKUNGAN SEKOLAH TANPA SAMPAH PLASTIK. JURNAL PANCAR (PENDIDIK ANAK CERDAS DAN PINTAR), 11-16.
Widodo, A. E. (2020). Otomatisasi Pemilah Sampah Berbasis Arduino Uno. IJSE – Indonesian Journal on Software Engineering, 12-18.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2023 Rindi Wulandari, M. Riyad Ariwibowo, Taryo Taryo, Galieh Ananda

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).