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Journal articles on the topic 'MQ135 Sensor'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Nugroho, Yusuf Cahyo, Alief Arifin Mahardiko, Shafira Salma Dhelia, Afifah Nuraini, and Paulus Harsadi. "Rancang Bangun Sistem Pemantauan Kualitas Udara Berbasis Arduino Untuk Mendeteksi Polusi Udara Di Perkotaan." Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) 11, no. 2 (2023): 45. https://doi.org/10.30646/tikomsin.v11i2.795.

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Air pollution is a pressing environmental issue that poses significant risks to human health and the environment. To address this issue, the development of a reliable air quality monitoring system is essential. This research focuses on the design and implementation of a monitoring system based on Arduino Uno microcontroller and sensors such as MQ135, MQ136, and DHT11. The system aims to detect and measure air pollutants, temperature, and humidity levels. The Arduino Uno processes the data collected from the sensors and displays the information on the LCD screen. The system provides real-time m

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Rizal Tabriez Tsaqiefudin, Edi Kurniawan, and Diana Alia. "Perancangan Sistem Pendeteksi Polusi Udara Di Dalam Kamar Mesin Secara Wireless Menggunakan Sensor MQ135 Dan TGS2106 Berbasis Lora Ra-02." Jurnal Kendali Teknik dan Sains 2, no. 3 (2024): 34–49. http://dx.doi.org/10.59581/jkts-widyakarya.v2i3.3250.

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Air pollution is a problem that needs attention because it can threaten human life. Many human activities cause air pollution. Especially in closed rooms such as ship engine rooms. Therefore, an air pollution detection tool is needed to determine the air pollution index in that place in order to maintain pollution levels below the threshold value. Therefore, it is necessary to have a tool to detect air pollution using the MQ-135 gas sensor to detect carbon dioxide (CO2) gas and TGS2106 to detect nitrogen dioxide (NO2) gas. The type of research method used is the experimental research method. A

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3

Talib, Aya Mazin, and Mahdi Nsaif Jasim. "Geolocation based air pollution mobile monitoring system." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 162. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp162-170.

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Air pollution is conducted to harmful substances like solid particles, gases or liquid droplets. More pollutants CO, SO2, NOx, CO2.This research is proposed the design and implementation of mobile, low cost and accurate air pollution monitoring system using Arduino microcontroller and gas sensor like MQ2, MQ131, MQ135, MQ136, DHT22, measuring materials mentioned above, smoke, Acetone, Alcohol, LPG, Toluene, temperature, humidity and GPS sensor”NEO-6M” that track the location of air pollution data, and display the analysis result on ESRI maps. The system also save the results on SQL server DB.

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Talib, Aya Mazin, and Mahdi Nsaif Jasim. "Geolocation based air pollution mobile monitoring system." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 162–70. https://doi.org/10.11591/ijeecs.v23.i1.pp162-170.

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Air pollution is conducted to harmful substances like solid particles, gases or liquid droplets. More pollutants CO, SO2, NOx, CO2.This research is proposed the design and implementation of mobile, low cost and accurate air pollution monitoring system using Arduino microcontroller and gas sensor like MQ2, MQ131, MQ135, MQ136, DHT22, measuring materials mentioned above, smoke, Acetone, Alcohol, LPG, Toluene, temperature, humidity and GPS sensor”NEO-6M” that track the location of air pollution data, and display the analysis result on ESRI maps. The system also save the results on SQL

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5

Manoj kumar, Garvit Mishra, Ayush Sharma, Ashish Shaini, and Sahil Saxena. "Air Quality Monitoring Using MQ135 Gas Sensor and Arduino Uno." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 5 (2025): 1097–101. https://doi.org/10.51583/ijltemas.2025.140500119.

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Abstract: This paper presents the design and implementation of an air quality monitoring system based on an MQ135 gas sensor and an Arduino Uno microcontroller. The MQ135 sensor detects common pollutants (e.g. CO₂, NH₃, benzene, smoke) by measuring changes in air conductivity, and its analogy output is processed by the Arduino board. Sensor readings are calibrated against known conditions, and then converted to parts-per-million (PPM) levels. The system displays real-time air quality readings on an LCD and can trigger alerts when thresholds are exceeded. Data collection and analysis are demons

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Arkhan, Muhammad ghozi, and Zulhipni Reno Saputra Elsi. "Air Quality Monitoring System Based Internet Of Things." Brilliance: Research of Artificial Intelligence 4, no. 2 (2024): 669–73. https://doi.org/10.47709/brilliance.v4i2.4924.

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This research aims to develop an Internet of Things (IoT)-based air quality monitoring system using the ESP8266 module along with DHT11 and MQ135 sensors. The system is designed to monitor temperature, humidity, and the concentration of harmful gases in the air, with real-time results accessible through the Blynk application on Android devices. The DHT11 sensor measures temperature and humidity, while the MQ135 sensor detects air quality based on concentrations of harmful gases such as carbon dioxide (CO2) and ammonia. Data from these sensors is transmitted to an IoT platform for real-time dis

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Shiddiq, Minarni, Lentina Br Sitohang, Ikhsan Rahman Husein, Sinta Afria Ningsih, Sri Hermonica, and Annisa Fadillah. "HIDUNG ELEKTRONIK BERBASIS SENSOR GAS MOS UNTUK KARAKTERISASI KEMATANGAN BUAH KELAPA SAWIT." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 10, no. 2 (2021): 170. http://dx.doi.org/10.23960/jtep-l.v10i2.170-182.

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The ripeness of oil palm fruits is one of the key factors for crude palm oil qualities. Recently, electronic nose systems have been developed intensively for fruit quality assessment which relates odors to ripeness levels. This study developed an electronic nose system to characterize the ripeness levels of oil palm fruits using output voltage of each sensor and fruit hardness. The system consisted of a sensor chamber and a sample chamber. The sensor chamber consisted of eight MOS gas sensor modules of MQ series. Samples were oil palm fruits taken from oil palm fresh fruit bunches (FFB) which

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8

Lambor, Shilpa. "Personalized Weather Station." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 5209–13. http://dx.doi.org/10.22214/ijraset.2024.61105.

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Abstract: This research outlines the conception, design, and implementation of a personalized weather monitoring system integrating multiple sensors for comprehensive environmental data collection. The project aims to create a sophisticated weather station utilizing the DHT11 sensor for temperature and humidity measurements, MQ135 sensor for gas detection, dust sensor for particulate matter assessment, and rain sensor for precipitation detection. The system's architecture incorporates Esp32-based data acquisition, employing sensor interfacing and data processing to obtain real-time environment

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9

Amaliah, Asma, Sahbuddin Abdul Kadir, Alviany Saldina, and Reski Amelia. "Implementasi Wireless Sensor Network Berbasis LoRa Master Slave." Jurnal Mosfet 5, no. 1 (2025): 95–103. https://doi.org/10.31850/jmosfet.v5i1.3491.

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Long Range (LoRa) is a wireless communication technology using Chirp Spread Spectrum (CSS) that allows for sending low-power long-distance data via the ISM (Instrumentation Science and Medical) band. This study aims to utilize LoRa technology with a Master Slave communication model combined with a Wireless Sensor Network (WSN). The devices used in this study are LoRa, ESP32 and MQ135 sensors. The MQ135 sensor functions to measure ambient air quality. Then data from the sensor is sent using the LoRa module via 3 nodes to the master node. The OLED display is used to display the results of sensor

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K. R,, Dr Remya. "Smart Agro-Vehicle Freshness Monitoring System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem41955.

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In the modern agricultural sector, preserving the freshness and quality of harvested vegetables during storage and transport is critical. This project presents an IoT-based solution for monitoring the freshness of vegetables using Wi-Fi technology. The system integrates a network of sensors, including the DHT11 for measuring temperature and humidity, the MQ135 gas sensor to detect spoilage-indicating gases, and an ultrasonic sensor, which is repurposed to measure the quantity of fuel in vehicles. Additionally, an MPU6050 accelerometer sensor detects accidents The data collected from these sens

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Waworundeng, Jacquline M. S., and Oktoverano Lengkong. "Sistem Monitoring dan Notifikasi Kualitas Udara dalam Ruangan dengan Platform IoT." CogITo Smart Journal 4, no. 1 (2018): 94. http://dx.doi.org/10.31154/cogito.v4i1.105.94-103.

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Penelitian ini membahas tentang prototipe alat pendeteksi kualitas udara di dalam ruangan dengan menggunakan mikrokontoler Wemos dan sensor MQ135 yang terhubung dengan platform IoT sebagai sistem monitoring dan notifikasi. Modul sensor MQ135 sebagai detektor kualitas udara, mengirimkan sinyal input untuk diproses oleh mikrokontroler Wemos board. Modul wifi yang terdapat pada Wemos board mengirimkan nilai yang terbaca oleh sensor ke platform IoT Thingspeak yang merekam data logging dalam bentuk grafik. Dalam hal ini, Thingspeak berfungsi sebagai bagian dari sistem monitoring. Sedangkan sebagai

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Daugela, Ignas, Jurate Suziedelyte Visockiene, Jurate Kumpiene, and Ivan Suzdalev. "Measurements of Flammable Gas Concentration in Landfill Areas with a Low-Cost Sensor." Energies 14, no. 13 (2021): 3967. http://dx.doi.org/10.3390/en14133967.

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Global warming, as the result of the negative impact of humans on climate change, has been observed based on various data sources. Various measures have aimed to reduce anthropogenic factors, and also to lower carbon dioxide (CO2) and methane CH4 emissions. One of the main contributors to anthropogenic factors is organic waste in municipal solid waste landfills. There are many landfills where cost-effective rapid technologies for the identification and quantification of CH4 emission sites are not applied. There is still a need for the development of accessible and cost-effective methods that r

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FAJAR NUGRAHA, RIFKI. "AIRSAFE ALAT DETEKSI DINI POLUSI UDARA BERBASIS ARDUINO UNO DENGAN INTEGRASI SOLAR PANEL UNTUK KEBERLANJUTAN ENERGI." Aisyah Journal Of Informatics and Electrical Engineering (A.J.I.E.E) 6, no. 2 (2024): 205–12. http://dx.doi.org/10.30604/jti.v6i2.260.

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This research addresses indoor as well as outdoor air quality monitoring as a response to the serious,often overlooked problem of air pollution. The focus is on developing an innovative tool, AirSafe, basedon Arduino Uno, for early detection of air pollution emissions and providing warnings. Sensor testingshows that the MQ2 sensor is well responsive to CO and LPG, although it requires additional calibration.The MQ135 sensor is capable of detecting several types of toxic gases with a stable response. TheDHT11 sensor provides temperature and humidity measurements within tolerances. AirSafe hardw

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14

Trebar, Mira, Anamarie Žalik, and Rajko Vidrih. "Assessment of ‘Golden Delicious’ Apples Using an Electronic Nose and Machine Learning to Determine Ripening Stages." Foods 13, no. 16 (2024): 2530. http://dx.doi.org/10.3390/foods13162530.

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Consumers often face a lack of information regarding the quality of apples available in supermarkets. General appearance factors, such as color, mechanical damage, or microbial attack, influence consumer decisions on whether to purchase or reject the apples. Recently, devices known as electronic noses provide an easy-to-use and non-destructive assessment of ripening stages based on Volatile Organic Compounds (VOCs) emitted by the fruit. In this study, the ‘Golden Delicious’ apples, stored and monitored at the ambient temperature, were analyzed in the years 2022 and 2023 to collect data from fo

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15

Ahmed, Danish, Syed Zeeshan Ali, Fahat Bar Khan, and Mubashir Hussain Faruki. "Design And Implementation Of An ESP32-Based Smart Home Automation System With Environmental Monitoring And Automated Controls." IOSR Journal of Electronics and Communication Engineering 19, no. 6 (2024): 23–28. http://dx.doi.org/10.9790/2834-1906012328.

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This paper presents an ESP32-based Home Automation System designed for efficient management of household components, enhancing convenience, safety, and resource optimization. The system integrates various sensors and devices, including relay-controlled bulbs and fans, motion-sensor lights, and automated nightlights. Environmental monitoring is achieved via a DHT22 sensor for temperature and humidity, and MQ2/MQ135 sensors for gas detection, promoting real-time safety alerts. For smart gardening, a soil moisture sensor coupled with a submersible pump enables automated irrigation. Overheat prote

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16

Yaddanapudi, Guru Vardhan, Nagul Meera Shaik, Ajith Shaik, Hemanth Bogadula, and Naidu Ponnada Guruvulu. "Air quality prediction and analysis using embedded sensors and machine learning." i-manager's Journal on Computer Science 13, no. 1 (2025): 10. https://doi.org/10.26634/jcom.13.1.21896.

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This paper introduces a comprehensive, real-time air quality monitoring and alert system that combines sensor-based hardware with a machine learning model for data classification. The system integrates gas sensors MQ135, MQ2, MQ9, a DHT11 temperature and humidity sensor, and an Arduino Mega 2560 microcontroller. Sensor data is processed using a Python-based Random Forest classifier to predict pollution levels and environmental conditions. Alerts are triggered through buzzers, LCD displays, and GSM-based SMS notifications. Unlike traditional setups requiring Wi-Fi modules, the system transmits

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Habibi, Farid Afif, and Umar Zaky. "SISTEM MONITORING TINGKAT KUALITAS UDARA DAN OPTIMASI SENSOR MENGGUNAKAN INTERNET OF THINGS BERBASIS ANDROID." Jurnal Informatika Teknologi dan Sains (Jinteks) 7, no. 2 (2025): 650–58. https://doi.org/10.51401/jinteks.v7i2.5617.

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Perkembangan Internet of Things (IoT) membuka peluang inovatif untuk memantau kualitas udara dan suhu secara real-time, terutama di tengah masalah polusi yang semakin mengkhawatirkan akibat emisi kendaraan, pembakaran lahan, dan aktivitas industri. Penelitian ini mengembangkan sistem berbasis IoT dengan memanfaatkan mikrokontroler ESP32 yang terintegrasi sensor MQ135 (untuk CO?) dan sensor suhu DHT11, serta dioptimalkan melalui kalibrasi Analog-to-Digital Converter (ADC) guna meningkatkan akurasi pembacaan data. Optimasi ADC pada sensor MQ135 dilakukan dengan menyesuaikan nilai referensi tegan

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Muttaqin, Rodhotul, Wasi Sakti Wiwit Prayitno, Natalia Erna Setyaningsih, and Upik Nurbaiti. "Rancang Bangun Sistem Pemantauan Kualitas Udara Berbasis Iot (Internet Of Things) dengan Sensor DHT11 dan Sensor MQ135." Jurnal Pengelolaan Laboratorium Pendidikan 6, no. 2 (2024): 102–15. http://dx.doi.org/10.14710/jplp.6.2.102-115.

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Soelistianto, Farida Arinie, Argo Indrianto, Abdullah Anshori, and Nur Rizza. "IoT Based Poultry Cage Quality Monitoring System." West Science Interdisciplinary Studies 2, no. 09 (2024): 1780–86. http://dx.doi.org/10.58812/wsis.v2i09.1287.

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This research aims to create a better cage quality monitoring system in poultry farms, the parameters observed in particular are ammonia gas, where this gas greatly affects the health and productivity of laying hens, the data taken is processed in percentage terms and a comparison of several conditions in the location where the equipment is placed. The system is made using ESP32 microcontroller as the main board, DHT22 as a temperature and humidity sensor, MQ135 as a sensor to detect ammonia gas levels, GY302/BH1750 as a light sensor, light sensor or light meter sensor is used to optimize the

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Rochmania, Alven, Imam Sucahyo, and Meta Yantidewi. "MONITORING KANDUNGAN CO2 BERBASIS IOT DENGAN NODEMCU ESP8266 DAN SENSOR MQ135." Jurnal Sains dan Pendidikan Fisika 17, no. 3 (2021): 249. http://dx.doi.org/10.35580/jspf.v17i3.30634.

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Penelitian ini merupakan penelitian eksperimen dengan tujuan untuk mengembangkan dan mengetahui cara kerja alat monitoring kandungan CO2 di udara berbasis Internet of Things. Penelitian dimulai pada bulan November di dua daerah yang berbeda yaitu Panekan Kabupaten Magetan dan di Ketintang Kota Surabaya. Metode yang digunakan pada penelitian ini adalah metode penelitian kuantitatif eksperimen yang dilakukan dengan menggunakan alat monitoring kandungan CO2 yang dibangun yang kemudian dibandingkan dengan alat pembanding yaitu “Air Quality Detector” yang dapat mendeteksi kandungan CO2 juga. Berdas

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C, Gopi, V. Pramodh, Mallela Sree Charan, K. Sandeep Kumar Reddy, and Dulla SaiVamsi. "Cloud-based Air Quality Monitoring through Wireless Sensor Network using NodeMCU." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 911–15. http://dx.doi.org/10.22214/ijraset.2022.47915.

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Abstract: In the present-day world, air pollution has gained huge attention and eventually become a major threat to society. Considering the exigency and magnitude of air pollution, this paper focus mainly on the device which is capable of monitoring the air quality, vibration levels of the ground, and a type of fire safety alert system for the employees working in the industrial environment. This is implemented using a WIFI-enabled ESP8266 NodeMCU microcontroller which is interfaced with air quality monitoring sensors MQ135, DHT11 (Humidity and Temperature) sensor, Geophone sensor to detect m

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Kim, Keunyoung, and Woosung Yang. "RANFIS-Based Sensor System with Low-Cost Multi-Sensors for Reliable Measurement of VOCs." Technologies 13, no. 3 (2025): 111. https://doi.org/10.3390/technologies13030111.

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This study describes a sensor system for continuous monitoring of volatile organic compounds (VOCs) emitted from small industrial facilities in urban centers, such as automobile paint facilities and printing facilities. Previously, intermittent measurements were made using expensive flame ionization detector (FID)-type instruments that were impossible to install, resulting in a lack of continuous management. This paper develops a low-cost sensor system for full-time management and consists of multi-sensor systems to increase the spatial resolution in the pipe. To improve the accuracy and relia

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Karuna, G., R. P. Ram Kumar, Steven Gopaldas, Vasista Parvathaneni, and Teddu Lokesh. "Air Quality and Hazardous Gas Detection using IoT for Household and Industrial Areas." E3S Web of Conferences 391 (2023): 01146. http://dx.doi.org/10.1051/e3sconf/202339101146.

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The detection and monitoring of hazardous gases is essential for ensuring the safety of individuals in various settings, such as industrial environments and residential areas. gas detectors detect gases like LPG, NH3, alcohol, NOx, Benzene, CO2, Alcohol, Propane, Hydrogen, Methane, Carbon Monoxide, and smoke in the area around them. In this study, we present a system for real-time detection and monitoring of hazardous gases using MQ135 and MQ2 sensors. The system consists of a monitor that is placed in a fixed location and a mobile device that can be carried by the user. The MQ135 sensor is us

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Muralidharan, Rohith, Neenu Kuriakose, and Sangeetha J. "Airsense - Air Quality Monitoring." Indian Journal of Data Communication and Networking 1, no. 4 (2023): 8–11. http://dx.doi.org/10.54105/ijdcn.c5029.081421.

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This paper basically aims to measure the indoor air quality by making use of two prominent sensors namely the DHT11 sensor which is used to measure the temperature and humidity and the MQ135 sensor which is used to detect harmful gases in the air such as Ammonia, CO2, CO, Nitrogen oxides, alcohol, smoke. The sensor allows us to determine the values of various gases in the house and classify it as good, bad, poor or toxic. This allows us to be alert and take necessary course of action to make the household a better and safer place to reside. This setup uses an Arduino uno as the microprocessor

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Rohith, Muralidharan. "Airsense - Air Quality Monitoring 9." Indian Journal of Data Communication and Networking (IJDCN) 1, no. 4 (2023): 8–11. https://doi.org/10.54105/ijdcn.C5029.081421.

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<strong>Abstract:</strong> This paper basically aims to measure the indoor air quality by making use of two prominent sensors namely the DHT11 sensor which is used to measure the temperature and humidity and the MQ135 sensor which is used to detect harmful gases in the air such as Ammonia, CO2, CO, Nitrogen oxides, alcohol, smoke. The sensor allows us to determine the values of various gases in the house and classify it as good, bad, poor or toxic. This allows us to be alert and take necessary course of action to make the household a better and safer place to reside. This setup uses an Arduino

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26

Qomaria Ahmad, Ardi Gunawan, Nadyawati Nadyawati, M. Firman Ramadhan, and Muhammad Nizaar. "Perancangan Prototype Penetralisir Gas Karbondioksida (CO₂) Berbasis Arduino Uno Menggunakan Sensor MQ135." Kappa Journal 9, no. 1 (2025): 149–57. https://doi.org/10.29408/kpj.v9i1.29889.

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Peningkatan konsentrasi gas CO₂ akibat aktivitas manusia, seperti pembakaran dan asap rokok, berkontribusi terhadap penurunan kualitas udara dan risiko kesehatan. Penelitian ini bertujuan untuk merancang dan menguji efektivitas prototype pendeteksi dan penetralisir gas CO₂ berbasis sensor MQ135 dan Arduino Uno yang dilengkapi dengan filter HEPA dan karbon aktif. Metode yang digunakan meliputi perancangan perangkat keras dan perangkat lunak, integrasi sensor dengan Arduino Uno, serta pengujian efektivitas filter dalam menurunkan kadar CO₂ dari dua sampel, yaitu asap pembakaran kertas dan asap r

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Valagulam, Chirag Reddy, Aravind Ananthaneni, and Tarakaram Threlok Boiena. "Monitoring of Cloud-based Air Quality using NodeMCU." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (2023): 687–92. http://dx.doi.org/10.22214/ijraset.2023.54738.

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Abstract: Air pollution has received a lot of attention in the modern world and has subsequently grown to pose a serious hazard to society. This research focuses on a device that can monitor air quality, ground vibration levels, and a form of fire safety alarm system for employees working in an industrial environment due to the urgency and quantity of air pollution. A WIFI-enabled ESP8266 NodeMCU microcontroller is used to implement this, and it is connected to air quality monitoring sensors MQ135 and DHT11 (Humidity and Temperature), as well as a geophone sensor to measure vibration levels in

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Gull, Shazmina, Imran Sarwar Bajwa, Waheed Anwar, and Rubina Rashid. "Smart eNose Food Waste Management System." Journal of Sensors 2021 (July 22, 2021): 1–13. http://dx.doi.org/10.1155/2021/9931228.

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The modern age is an era of fast-growing technology, all thanks to the Internet of Things. The IoT becomes a prime factor of human life. As in this running world, no one cares about the wastage of food. However, this causes environment pollution as well as loss of many lives. A lot of researchers help in this era by introducing some great and beneficial projects. Our work is introducing a new approach by utilizing some low-cost sensors. In this work, Arduino UNO is used as a microcontroller. We use the eNose system that comprises MQ4 and MQ135 to detect gas emission from different food items,

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Abdullahi, Y., I. G. Saidu, M. B. Abdullahi, and K. A. Dabai. "Development and Validation of an Ammonia (NH3) Gas Concentration Measurement Device for Industrial and Health Application." International Journal of Research and Innovation in Applied Science X, no. VII (2025): 212–30. https://doi.org/10.51584/ijrias.2025.100700017.

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Ammonia (NH₃) is a harmful air pollutant that not only contributes to environmental damage but also poses serious health risks, particularly in confined or poorly ventilated spaces like farms, waste management facilities, and industrial settings. Monitoring ammonia levels accurately is essential for protecting both the environment and public health. This study focuses on creating a cost-effective, real-time monitoring system designed to detect ammonia in the air. The system integrates the MQ135 gas sensor and the DHT11 temperature and humidity sensor with an Arduino Mega 2560 microcontroller.

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Refalista, Akbar, Riri Irawati, Irawan Irawan, and Tatang Wirawan Wisjhnuadji. "Pengunaan Sensor MQ-2,4,7,135 dan ESP32 Untuk Air Pollution Monitoring Berbasis Internet of Things." Jurnal Ticom: Technology of Information and Communication 12, no. 1 (2023): 31–36. http://dx.doi.org/10.70309/ticom.v12i1.104.

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Udara merupakan hal yang sangat dibutuhkan oleh makhluk hidup dalam kehidupan sehari-hari, makhluk hidup menggunakan udara sebagai alat bantu mereka untuk bernafas. Dalam hal Kesehatan, udara yang diperlukan oleh makhluk hidup merupakan udara yang bersih. Namun seiring perkembangan jaman pasokan udara bersih semakin minim adanya karena tercemar oleh aktifitas manusia sehingga menyebabkan udara yang bersih ini menjadi terkontaminasi oleh zat kimia beracun. Hal ini yang dapat menjadi dampak negatif pada kesehatan manusia. Maka dari permasalahan tersebut dapat dibuat suatu sistem yang mampu memon

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Dewi, Suti Kurnia, Rudy Dwi Nyoto, and Elang Derdian Marindani. "Perancangan Prototipe Sistem Kontrol Suhu dan Kelembaban pada Gedung Walet dengan Mikrokontroler Berbasis Mobile." Jurnal Edukasi dan Penelitian Informatika (JEPIN) 4, no. 1 (2018): 36. http://dx.doi.org/10.26418/jp.v4i1.24065.

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Abstrak— Sarang burung walet merupakan salah satu komoditas ekspor yang memiliki nilai ekonomis cukup tinggi. Suhu dan kelembaban di dalam gedung walet sangat berpengaruh terhadap kualitas dan harga sarang burung walet. Penelitian ini membangun prototipe sistem kontrol suhu dan kelembaban pada gedung walet dengan mikrokontroler berbasis mobile. Mikrokontroler berfungsi untuk mengambil data suhu, kelembaban dan kualitas udara kemudian mengirimkannya ke server sehingga pengguna dapat memantau dan mengatur suhu serta kelembaban di dalam gedung walet melalui aplikasi android maupun website sistem.

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Kumar, T. V. V. Pavan, Tiwari Vaishnavi, V. Lakshmi, and Gaurav Gupta. "Advancements in IoT Technology: A Comprehensive Approach to Accident Detection and Emergency Response." MATEC Web of Conferences 392 (2024): 01087. http://dx.doi.org/10.1051/matecconf/202439201087.

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Infrastructure and also technological advancements have actually made life less complex for individuals, causing huge demand for vehicles. This results in an increase in road mishaps. An accident is a vulnerable and unintended occasion, as well as it can additionally occur because of the carelessness of the vehicle drivers. With the increasing number of road accidents and the high mortality rate associated with them, there is a growing need for a system that can detect accidents and provide timely assistance to the victims. In this project, we propose an IoT based Accident Detection and Rescue

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Lakshmi prabha S and R. Vadivel. "Sensorsync auto: Integrating IoT sensors for smart vehicle air quality monitoring." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 495–502. http://dx.doi.org/10.30574/wjarr.2024.21.3.0678.

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This project introduces an innovative Air Quality Monitoring System based on IoT technology, leveraging components such as NodeMCU, DHT11, MQ135, a buzzer, an LCD, and the Blynk 2.0 app. The primary objective is to provide real-time monitoring of environmental conditions, encompassing temperature, humidity, and air quality, while also offering audible alerts for immediate user notification. The NodeMCU functions as the central microcontroller, interfacing with the DHT11 sensor for temperature and humidity readings and the MQ135 sensor for air quality measurements. The collected data is visuall

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Lakshmi, prabha S., and Vadivel R. "Sensorsync auto: Integrating IoT sensors for smart vehicle air quality monitoring." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 495–502. https://doi.org/10.5281/zenodo.14057629.

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This project introduces an innovative Air Quality Monitoring System based on IoT technology, leveraging components such as NodeMCU, DHT11, MQ135, a buzzer, an LCD, and the Blynk 2.0 app. The primary objective is to provide real-time monitoring of environmental conditions, encompassing temperature, humidity, and air quality, while also offering audible alerts for immediate user notification. The NodeMCU functions as the central microcontroller, interfacing with the DHT11 sensor for temperature and humidity readings and the MQ135 sensor for air quality measurements. The collected data is visuall

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Mohammed Saad Ashraf Alrubaye, Azizan As’arry, Muhammed Amin Azman, Mohd Zuhri Mohamed Yusoff, Khairil Anas Md Rezali, and Ali Zolfagharian. "Monitoring and Prediction of Air Quality System using Internet of Things (IoT)." Journal of Advanced Research in Applied Sciences and Engineering Technology 48, no. 1 (2024): 61–76. http://dx.doi.org/10.37934/araset.48.1.6176.

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Air pollution is a global issue causing 7 million deaths annually, primarily due to dangerous compounds and inhalable particles. The World Health Organization estimates that air pollution is a significant threat to human health and safety. The Internet of Things (IoT) is utilized in this research to analyse sensor data from various environmental monitoring devices. The objective is to build an IoT-based air quality system that assesses air quality conditions in specific areas and analyses air levels of various compounds. The study employs IoT technology to analyse data from various environment

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Mohd, Saiful Azimi Mahmud, Buyamin Salinda, Mohd Mokji Musa, and S. Zainal Abidin M. "Internet of Things based Smart Environmental Monitoring for Mushroom Cultivation." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 3 (2018): 847–52. https://doi.org/10.11591/ijeecs.v10.i3.pp847-852.

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Environmental condition is a significant factor that needs to be controlled in mushroom production. Mushrooms are unable to grow if the temperature is higher than 33°C or lower than 25°C. Thus, this work focuses on developing an automatic environmental control system to provide optimum condition to mushroom production house. Environmental factors considered in the system are temperature, humidity and carbon dioxide. For this, DHT11 temperature humidity sensor and MQ135 CO2 sensor are connected to the ESP8266 WiFi module to become IoT (Internet of Things) sensors that send big amount of

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Dafedar, Apeksha Ashok, Chandana B H, Kannika C K, Lavanaya N U, and Mrs Sangeetha B S. "Smart Pesticide Detection System Using IoT and ML." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem39626.

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Initially, we insert any fruit in front of the color sensor for scanning purposes. To measure pH, we use a pH sensor, and to detect if the fruit generates any gas, we use an MQ135 sensor. In the machine learning process, a dataset is created using the Random Forest algorithm. This dataset includes various properties and measurements such as color (from the color sensor), temperature, humidity, and gas emission values. These features are used to determine whether a fruit is of good quality or not. By comparing the current fruit's values with the pre-defined dataset, the system evaluates its qua

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Bilal, Muhammad, and U. Umar. "Perancangan Sistem Monitoring Dan Kontrolling Suhu Dan Kadar Gas Ammonia Pada Kandang Ayam Berbasis Mikrokontroller NodeMCU." Emitor: Jurnal Teknik Elektro 21, no. 1 (2020): 20–25. http://dx.doi.org/10.23917/emitor.v21i01.11735.

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Ayam broiler merupakan jenis ayam pedaging yang dimana sebagai penghasil daging ayam dengan konversi pakan yang rendah, yang menjadikan ayam jenis ini dijadikan sebagai lahan bisnis yang bagus dan menjanjikan. Walaupun ayam broiler merupakan salah satu lahan bisnis yang bagus dan diharapkan akan tetapi, di peternakan Indonesia, terutama di kandang-kandang perumahan masih memiliki beberapa masalah. Salah satunya adalah bau kandang yang menyengat hal ini karena tidak adanya suhu dan kadar gas amonia pada kandang ayam. Bau kandang yang menyengat oleh naiknya kadar gas amonia karena pengaruh suhu

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Veeramanikandasamy*, T., Gokul Raj. S, A. Balamurugan, A. P. Ramesh, and Y. A. Syed Khadar. "IoT based Real-time Air Quality Monitoring and Control System to Improve the Health and Safety of Industrial Workers." International Journal of Innovative Technology and Exploring Engineering 9, no. 4 (2020): 1889–84. http://dx.doi.org/10.35940/ijrte.d1604.018520.

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Pollution is adding contaminants into the nature that causes an adverse change in the environment. Air pollution is one of the highest mortality risk factors globally. The sources of air pollution in the industries are power plants, chamber process, cleaning, burning of materials, etc. A variety of pollutants emitted into the air such as sulfur dioxide, carbon monoxide, carbon dioxide, ammonia and volatile organic compounds. Particulate Matter (PM) is an air pollutant that is the mixture of solid dust or pollen and liquid droplets with air. Air pollution in industrial workplaces is a major con

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Abdur Rahman Haritsah and Henri P. Uranus. "Rancang Bangun Sistem Monitoring Kualitas Udara, Kecepatan Angin, dan Arah Angin Menggunakan Mikrokontroler ESP32 dan Visualisasi Data Menggunakan Blynk." FaST - Jurnal Sains dan Teknologi (Journal of Science and Technology) 9, no. 1 (2025): 1–11. https://doi.org/10.19166/jstfast.v9i1.9159.

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Air quality, wind speed, and wind direction monitoring system is a system that can measure environmental parameters that affect human health and comfort, as well as displaying real-time measurement data through an application. This system is designed and built using ESP32 microcontroller and data visualization using Blynk IoT platform. The system consists of three main components, namely sensors, microcontroller, and IoT platform. The sensors used are DHT22 sensor to read temperature and humidity, MQ135 sensor to read CO2 concentration, anemometer sensor to read wind speed, and wind direction

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Sowmya, V., K. Dharani, A. J. Vishalini, C. Priya Dharshini, and R. Sujitha. "Smart Healthcare Monitoring System." Journal of ISMAC 5, no. 1 (2023): 65–73. http://dx.doi.org/10.36548/jismac.2023.1.005.

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Nowadays, extreme priority is focused on health, due to the out- break of Corona virus, to ensure precautions before any illness. In many circumstances, people tend to forget the importance of health and fail to monitor the health parameters, such as temperature, heart rate, and so on, due to work and busy schedules. Therefore, a smart healthcare system has been proposed in this research, wherein five sensors such as MAX30100 sensor, DS18B20 sensor, DHT11 sensor, MQ9, and MQ135 sensor which sense the patient and patient’s room conditions, are used. The obtained values are displayed in the web

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K. R, Dr Remya. "SmartFarm Transport: IoT-Integrated System for Reducing Vegetable Spoilage in Transit." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem46890.

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Abstract In modern agricultural supply chains, ensuring the freshness and quality of vegetables during storage and transportation is a critical challenge. This project presents an IoT-based smart monitoring system designed to track and maintain the freshness of vegetables using real-time sensor data. The system is built using an ESP32 microcontroller, integrating multiple sensors to monitor environmental and transport conditions. A MQ135 gas sensor is used to detect gases released by decomposing vegetables, indicating spoilage. A DHT11 sensor monitors the temperature and humidity, which are ke

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Belure, Prasad, Chirag Bhagat, Om Bhadane, et al. "Low Power Forest Fire Detection." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 2498–500. http://dx.doi.org/10.22214/ijraset.2023.51967.

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Abstract: Fire detection and warning systems are critical for ensuring the safety of people and property. We present an innovative system for detecting and alerting fires that employs a combination of an MQ135 gas sensor, Arduino Uno microcontroller, and SIM900A GSM module. Its purpose is to identify the existence of smoke and other types of gases that are emitted during a fire and to provide real-time alerts to a pre-programmed set of phone numbers through SMS using the SIM900A GSM module. The system also triggers an alarm to alert people and the forest department in the vicinity of the fire.

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Azimi Mahmud, Mohd Saiful, Salinda Buyamin, Musa Mohd Mokji, and M. S. Zainal Abidin. "Internet of Things based Smart Environmental Monitoring for Mushroom Cultivation." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 3 (2018): 847. http://dx.doi.org/10.11591/ijeecs.v10.i3.pp847-852.

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<span>Environmental condition is a significant factor that needs to be controlled in mushroom production. Mushrooms are unable to grow if the temperature is higher than 33°C or lower than 25°C. Thus, this work focuses on developing an automatic environmental control system to provide optimum condition to mushroom production house. Environmental factors considered in the system are temperature, humidity and carbon dioxide. For this, DHT11 temperature humidity sensor and MQ135 CO2 sensor are connected to the ESP8266 Wi-Fi module to become IoT (Internet of Things) sensors that send big amou

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Juwita, Lusiana Elmi, and Suryadhi Suryadhi. "Rancang Bangun Sistem Observasi Keadaan Atmosfer Bumi Menggunakan Drone." JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 2, no. 2 (2018): 86. http://dx.doi.org/10.21070/jeee-u.v2i2.1700.

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Observation of atmospheric data is an integral part of research activities in fields related to weather and climate. The technology that has developed today has measured environmental parameters vertically using atmospheric broadcasting technology, radio, a device that can be flown by atmospheric balloon vehicles that can measure vertical atmospheric parameters and transmit data via radio. Therefore, this study makes the atmosphere that is temperature, humidity, air pressure, wind and GPS. By using DHT11 sensor as temperature and humidity transducer, BMP280 sensor as an air pressure transducer

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Aufa Bima Ngahada, Bayu Tri Prayitno, Gavrila Naufal Arsandy, Laksamana Dzikri Al Jauzi, and Nafiis Abyan Ilyasa. "PENGEMBANGAN SISTEM MONITORING KUALITAS UDARA RUANGAN BERBASIS IOT MENGGUNAKAN SENSOR MQ135 DAN DHT11." Journal of Scientech Research and Development 6, no. 2 (2024): 1173–77. https://doi.org/10.56670/jsrd.v6i2.790.

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Penelitian ini berfokus pada pengembangan sistem pemantauan kualitas udara ruangan menggunakan teknologi Internet of Things (IoT). Sistem ini mengintegrasikan sensor MQ135 dan DHT11 untuk mendeteksi tingkat gas (dalam satuan ppm), suhu, dan kelembapan, yang kemudian diproses oleh mikrokontroler dan dikirim melalui modul WiFi ke platform IoT. Platform pemantauan menyediakan data grafis secara real-time melalui platform IoT yang dirancang khusus, sementara notifikasi dikirim kepada pengguna melalui aplikasi platform notifikasi alternatif. Prototipe diuji untuk memastikan akurasi dalam mendeteksi

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Firmansyah, Adi, and Suzuki Syofian. "Perancangan Sistem Gudang Cerdas untuk Pemantauan Lingkungan Gudang Berbasis Internet of Things (IoT)." Journal TIFDA (Technology Information and Data Analytic) 1, no. 2 (2024): 20–24. https://doi.org/10.70491/tifda.v1i2.34.

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Penelitian ini bertujuan mengembangkan dan mengimplementasikan sistem Smart Warehouse berbasis Internet of Things (IoT) untuk memonitor dan mengontrol lingkungan gudang secara otomatis menggunakan modul ESP8266 untuk integrasi sensor, aktuator, dan aplikasi berbasis web yang memungkinkan pemantauan real-time serta kontrol otomatis. Sensor yang digunakan meliputi suhu dan kelembaban (DHT21), intensitas cahaya (BH1750), gas CO (MQ135), PIR, dan sensor api (KY-026), dengan otomatisasi kipas angin, exhaust fan, dan pencahayaan berdasarkan deteksi gas CO, keberadaan orang, serta intensitas cahaya.

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Akinwumi, S. A., O. Okey-Amadi, W. A. Ayara, and O. A. Akinwumi. "Eco-friendly Weather Monitoring Device using Arduino Mega and Sensor Integration." IOP Conference Series: Earth and Environmental Science 1428, no. 1 (2024): 012006. https://doi.org/10.1088/1755-1315/1428/1/012006.

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Abstract The project involved the construction of a hardware setup, utilizing the Arduino Mega as the central control unit. The BME280 sensor was employed to monitor temperature, humidity, and atmospheric pressure, providing comprehensive weather data. The SGP30 sensor was utilized for analyzing air quality, detecting various pollutants such as volatile organic compounds (VOCs) and carbon dioxide (CO2) levels. The MQ135 gas sensor enabled the detection of harmful gases, including ammonia, nitrogen dioxide and benzene. The integration of a 16x4 LCD display allowed for real-time visualization of

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Pratama, Ari Fahreza, Sulistiyanto Sulistiyanto, and Ranu Setyobudi. "Sistem Monitoring Smart Klinik Berbasis Internet Of Things (IOT)." JEECOM Journal of Electrical Engineering and Computer 5, no. 1 (2023): 24–30. http://dx.doi.org/10.33650/jeecom.v5i1.4666.

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Abstrak Kesehatan adalah salah satu permasalahan yang utama dalam kehidupan semua orang pada zaman modern ini. Aplikasi teknologi informasi yang canggih serta cermat terus diperlukan dan dikembangkan dikala ini. Sekarang pada aplikasi aspek data jasa, penyembuhan ataupun sistem registrasi di rumah sakit dengan cara online. Sistem pada alat yang dirancang ini merupakan sistem yang dapat memonitoring kondisi ruang klinik seperti kelembaban, suhu ruangan, kadar CO, CO2 kadar NH3, kadar NO2 serta memberikan informasi kondisi kesehatan pengguna seperti suhu tubuh, menggunakan aplikasi blynk, Untuk

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Arrofiq, Muhammad, and Ricky Hastomo Erwanto. "A Performance Comparison of XBEE S2 Module and ESP8266 (12E) Module on Air Quality Monitoring System." Journal of Internet and Software Engineering 1, no. 1 (2020): 5. http://dx.doi.org/10.22146/jise.v1i1.656.

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The development of wireless sensor network (WSN) technology has progressed very rapidly. These developments also triggered the development of wireless modules used in WSN. Xbee and ESP8266 are wireless modules that are often used to design wireless sensor networks. Xbee uses the IEEE 802.15.4 standard while ESP8266 uses the IEEE 802.11 b / g / n standard. In this research will be comparison of wireless modules between Xbee and ESP8266 to test the performance of the wireless module. Comparison is performed by testing the value of throughput, delay packet, and packet lost. The test will be appli

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