Design and Implementation of Solid Medical Waste Sorting System Based on Inductive Proximity Sensor and Radio Frequency Identification (RFID)

Medical waste separation is a crucial issue in Indonesia, because of the potential dangers it poses, such as the risk of spreading diseases and environmental pollution. This research aims to make innovations in solid medical waste sorting systems, to sort waste automatically using Inductive Proximity sensors and Radio Frequency Identification RFID. The results of the inductive proximity sensor test are able to accurately detect metal medical waste with an average detection time of 117.5 ms. RFID is also able to read ID cards accurately. The system offers innovative solutions to improve occupational safety and sustainable separation of solid medical waste.

Authors

Publication Details

Journal
Journal of Electrical Technology UMY
Published
2025-04-16
DOI
https://doi.org/10.18196/jet.v8i1.23447
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Implementation of Solid Medical Waste Sorting System Based on Inductive Proximity Sensor and Radio Frequency Identification (RFID)

Muthia Muthmainnah Ismail, Cia Renhoran, Ajeng Ayu Priyaniti, Dhananjaya Yama Hudha Kumarajati
1 links
Journal of Electrical Technology UMY
Internet of Things and AI
article

Design and Implementation of Solid Medical Waste Sorting System Based on Inductive Proximity Sensor and Radio Frequency Identification (RFID)

Muthia Muthmainnah Ismail, Cia Renhoran, Ajeng Ayu Priyaniti, Dhananjaya Yama Hudha Kumarajati
article en

Abstract

Medical waste separation is a crucial issue in Indonesia, because of the potential dangers it poses, such as the risk of spreading diseases and environmental pollution. This research aims to make innovations in solid medical waste sorting systems, to sort waste automatically using Inductive Proximity sensors and Radio Frequency Identification RFID. The results of the inductive proximity sensor test are able to accurately detect metal medical waste with an average detection time of 117.5 ms. RFID is also able to read ID cards accurately. The system offers innovative solutions to improve occupational safety and sustainable separation of solid medical waste.

Journal of Electrical Technology UMYVol. 8(1)
Openalex Percentile: Top 90%
Internet of Things and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.