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Raimon Efendi
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ijtvet.pdim@gmail.com
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raimon.efedi@gmail.com
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International Journal of Technology Vocational Education and Training (IJTVET)
Published by Perkumpulan Doktor Indonesia Maju
ISSN : 27230546     EISSN : 30546     DOI : 10.46643
Core Subject : Science, Education,
Computer Science & IT Education
International Journal of Technology Vocational Education and Training (IJTVET) is an open access journal. The editorial board invites authors and experts to publish and share their ideas through scientific and empirical research in the field of education and technology. The major objective of the publication is to improve theories, concepts, and practices in the field of information technology, vocational education and training. The dissemination of research will enable young researchers, and practitioners to present and share their scientific empirical findings. We are going to be a bridge between theories and practices in information technology, vocational education and training.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 71 Documents
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Smart Trash System: IoT Innovation in Sustainable Organic Waste Management Based on Zero Waste: Smart Trash System: Inovasi IoT dalam Manajemen Sampah Organik Berkelanjutan Berbasis Zero Waste Andang, Wulan; Efendi, Raimon
International Journal of Technology Vocational Education and Training Vol. 5 No. 2 (2024): Vol. 5 No. 2 (2024)
Publisher : Perkumpulan Doktor Indonesia Maju (PDIM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46643/ijtvet.v5i2.182

Abstract

Organic waste management is still a major challenge in various regions, especially in urban and rural areas that do not yet have an efficient management system. One promising approach is the use of the Internet of Things (IoT) in the Smart Trash system. This study aims to design and implement an IoT-based smart trash system that is able to detect the volume, weight, and composition of organic waste in real-time. Using the prototype method, this system is built with the integration of ultrasonic sensors, weight sensors, and NodeMCU microcontrollers connected to the IoT ThingSpeak platform. The implementation results show that the system is able to provide accurate information and automatic notifications to users when the trash is full or rotting occurs. This system also supports waste sorting from the source, accelerates the recycling process, and supports the zero waste concept. With this technological approach, the community can be encouraged to actively participate in smarter and more sustainable waste management.

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