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PROtek Jurnal Ilmiah Teknik Elektro
Article . 2024 . Peer-reviewed
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Carbon Monoxide (CO) Level Measurement Using Internet of Things (IoT) Based Drone with NodeMCU ESP32

Authors: Sefrina Putri Trisnanti; Meta Yantidewi; Utama Alan Deta;

Carbon Monoxide (CO) Level Measurement Using Internet of Things (IoT) Based Drone with NodeMCU ESP32

Abstract

Carbon monoxide (CO) is a dangerous gas with no odor, color, or taste and can easily mix with other air around it. This study aims to design and determine the results of measuring CO levels using a drone integrated with an MQ-7 gas sensor and an IoT-based ESP32 nodeMCU by manipulating the time and height of measuring CO levels. The method used is data acquisition in the form of a data retrieval process from the MQ-7 sensor programmed with the ESP32 nodeMCU via the ThingSpeak web. The results of measurements of CO levels in Ketintang, Surabaya air quality in the medium category at 07.00-11.00 WIB and good at 15.00 WIB. Measurement at 07.00 WIB CO levels are higher than at 11.00 WIB and 15.00 WIB. This can occur because the use of motorized vehicles and the process of burning waste in households is denser. Most of these activities are carried out close to the ground so that the higher the altitude in measuring CO levels, the lower the CO levels detected. Other factors that affect CO levels are temperature, wind speed, and weather when taking measurements. Based on the results of the study, it can be concluded that hours and altitude affect the CO levels produced.

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Keywords

carbon monoxide (co), mq-7 sensors, nodemcu esp32, drones, iot, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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