DHT11 Sensor Research Articles

Monitoring and Controlling System of Smart Mini Greenhouse Based on Internet of Things (IoT) for Spinach Plant (Amaranthus sp.)

Greenhouses, often composed of plastic or glass structures, play a fundamental role in optimizing the environmental conditions essential for successful plant cultivation, ultimately resulting in higher-quality crop yields. The study aims to develop a real-time monitoring and control system for a smart mini greenhouse utilizing the Internet of Things (IoT), with a specific focus on cultivating spinach. The monitoring system is constructed around an ESP32 microcontroller, complemented by a DHT22 sensor for accurate air temperature and humidity measurements, and an RTC DS3231 timer for scheduling tasks. The DHT22 sensor's set point values trigger the fan and misting system operations. The fan activates when the air temperature reaches 32°C, while the misting system turns on when humidity levels (RH) reach 55%. The ESP32 is the central processing unit, enabling internet connectivity through Wi-Fi for real-time data monitoring via the Blynk application. Sensor calibration confirms the system's precision, with regression analyses producing impressive R2 values of 0.989 and 0.952. The shading net control system operates four hours daily, from 11:00 to 15:00 WIB (Western Indonesian Time), optimizing the greenhouse environment. This well-executed system leads to the robust growth of spinach plants, reaching a height of 23.02 cm, sprouting nine leaves, and attaining a weight of 10 grams. The findings from this study highlight the efficiency and effectiveness of the smart mini greenhouse's monitoring and control system, offering promising applications in broader greenhouse management and crop cultivation practices.

Smart Drip Irrigation System Based on IoT Using Fuzzy Logic

The absence of a water drip rate control system in drip irrigation systems has impacted water use efficiency and normalization of soil moisture. Therefore, this research aims to develop an intelligent system using the fuzzy logic method to control the rate of water droplets in a drip irrigation system and maintain soil moisture in normal conditions. The DHT22 sensor is used to obtain temperature and humidity values, which are then used as input data and processed by the ESP32 microcontroller, which includes a fuzzy system. The Internet of Things (IoT) is also used to send data from the microcontroller to the Thingspek web server. The Blynk application is used to make it easier to monitor temperature, humidity, and water droplet rate values. The results of this research show that the temperature accuracy values produced using the MSE evaluation were 6.66667 and RMSE were 2.58199, while for temperature, the values for MSE were 0.128333 and RMSE were 0.358236. The average value of soil moisture produced in the planting medium is 44.46%; this value is within normal conditions for chili plants, where normal soil moisture conditions range between 40% - 60%

PERANCANGAN PROTOTIPE DAPUR PINTAR BERBASIS IOT MENGGUNAKAN NODEMCU ESP8266 DAN APLIKASI BLYNK

Industrial revolution 4.0 allows the integration of digital technology with human life through the Internet of Things. One form of IoT application is in kitchen devices. In this case, kitchen safety is the main concern. In this research, an IoT device was developed that can detect gas leaks in the kitchen. The success of previous studies using gas sensors Arduino Uno and MQ2, MQ3 and MQ5 proved to be able to detect gas leaks, but there are still some deficiencies in these devices such as not being connected to mobile devices and efforts to reduce gas levels. Therefore this study adds a feature to monitor room temperature and humidity using the DHT11 sensor, as well as a remote connection feature via a smartphone. In addition, an automatic fan feature is also added to suck up excess gas levels. So that this research is expected to facilitate the process of monitoring the kitchen and reduce the risk of gas leaks which are harmful to health and safety.

INTERNET OF THINGS-BASED AIR QUALITY ANALYSIS FOR MONITORING CO2 CONCENTRATION IN ROOFTOP BUILDING AREAS

This research aims to comprehend the air quality in rooftop areas in the city of DKI Jakarta, renowned for its high population density and rapid infrastructure development. The main focus is on the concentration of carbon dioxide (CO2) in the roof area, serving as an indicator of air quality influenced by air pollution, industrial activity, and heavy transportation. The utilization of Internet of Things (IoT) technology and CO2 sensors proves to be an effective solution for real-time monitoring of CO2 concentrations. This research holds significance for air pollution control measures, providing insight into the impact of rooftop gardens in reducing CO2 emissions and inspiring future research in the realms of air quality and IoT technology. Through prior literature, three notable studies underscore the industrial and technological impact of CO2 monitoring. The research was conducted in two locations in DKI Jakarta, namely the Garden Roof and Ordinary Roof areas. Monitoring took place over four parts of the day with a four-hour interval to compare CO2 levels. The tools employed included the NodeMCU ESP8266, DHT-22 sensor, and MQ-135 sensor. Results revealed that roof areas with gardens exhibited lower average CO2 levels (295 PPM) compared to regular roofs (360 PPM), indicating the potential of garden roof designs to reduce CO2 concentrations. Research recommendations include increasing the frequency of data collection and considering additional factors for a more comprehensive understanding of urban air quality.

Building a Secure IoT Platform for Smart Home Automation: A Comprehensive Integration

Abstract: The creation and use of a novel Internet ofThings (IoT) platform designed for smart home automation arepresented in this research study. The platform combines powerful hardware elements with cutting-edge software technologies. It makes use of Docker ptimization on, an Ubuntu-based Linux server, and essential utilities like Traefik, MySQL, Node-RED, Mosquitto, Adminer, and InfluxDB. The infrastructure is painstakingly built to provide scalable deployment, effective data management, and smooth communication. The core of the technique is the creation of a Linux server running Ubuntu. A flexible reverse proxy called Traefik ptimizat web traffic and makes sure that components communicate with one other effectively. Docker ptimization on is used for the modular deployment of services,such as the central orchestrator Node-RED, the lightweightMQTT broker services provided by Mosquitto, and MySQL for structured data storage. Time-series data processing and database administration are improved by the combination of Adminer and InfluxDB. The visual programming tool Node- RED acts as the central data flow orchestrator, allowing databases and devices to be connected with ease. Real-time datainterchange is ensured via MQTT implementation usingMosquitto, which is essential for Internet of Things applications.Network protocols, Docker best practices, and optional SSL/TLS implementation are just a few of the security features that provide a stable and secure environment. Security audits are planned on a regular basis to find and fix such weaknesses. Hardware for home automation control includes DHT11 sensors, 4-channel relay modules, and ESP32 development boards. Beyond simple automation, the platform includes functionalities for sensor data collecting, remote device administration, and intuitive appliance control via a Node-RED Dashboard. Applications include temperature, humidity, and air quality monitoring, as well as security and surveillance withbuilt-in cameras and motion sensors.

Design a Chicken Coop Monitoring System Based on the Internet of Things

Internal and external factors greatly influence the optimal breeding of chickens in the maintenance of chickens, with temperature and humidity being one of the external factors that greatly influences. Improper ambient temperature can cause losses to the chicken farmer as well as a decrease in productivity, while in practice it is necessary to monitor or check the control consistently to monitor the temperature of the coop. Temperature and humidity monitoring manually are less efficient, so the tools in this study aim to help farmers to facilitate monitoring that can be done through devices with accurate results. This tool is assisted by a DHT11 sensor, lamps, fans, and LCD in temperature monitoring. supported by the application of IoT, which makes it easier to monitor via devices. Test results on components and software show that all devices and software can function as they should. The data from the experimental test results of 15 tests conducted in the laboratory indicate that the tool can detect an average relay delay time of 1 of 0.836 seconds, the lamp in response to the temperature drop of 1.271 seconds, the delay from relay 2 by 0.466 seconds, and the fan in response to the temperature increase of 0.596 seconds.

AeroSense Monitor Integrasi Sensor DHT11 dan MQ135 untuk Pemantauan Kualitas Udara Berbasis Arduino Uno

Clean air is a basic necessity, but air pollution in Indonesia's major cities has increased significantly. The lack of air quality monitoring facilities in certain areas leads to a lack of public awareness of air pollution levels, which can adversely affect health. As a solution, the development of AeroSenseMonitor, an Arduino Uno-based air quality monitoring tool with DHT11 and MQ135 sensors, is proposed. This tool is expected to provide accurate information on air quality, enabling people to take preventive measures and protect their health. By raising awareness of the importance of clean air, it is hoped that the AeroSenseMonitor can be the first step in addressing the negative impacts of air pollution in Indonesia.

SISTEM MONITORING DAN PENYIRAMAN OTOMATIS TANAMAN SRIGADING (NYCTANTHES ARBOR-TRISTIS) BERBASIS IOT (INTERNET OF THINGS) DENGAN MENGGUNAKAN SENSOR KELEMBAPAN TANAH DAN SUHU RUANG PADA POT

This automatic plant monitoring and watering system is designed to make it easier to manage plants around pots or indoors such as greenhouses. This tool uses two main sensors, namely the DHT11 sensor to detect temperature and the soil moisture sensor to measure soil moisture. The microcontroller used is NodeMCU ESP8266. The output of this system includes a mini water pump, DC fan, and the Blynk application on Android devices. Based on the tests that have been carried out, if the temperature is detected above 33ᵒC, the fan will activate; but if it is below 33ᵒC, the fan will turn off. When soil moisture is detected above 90ᵒC, the water pump will activate as it indicates dry soil. The Blynk app features 3 monitoring controls, including 2 LCD screens. The first LCD monitors indoor temperature, while the second LCD is used to monitor soil moisture and fan conditions. There is also a Gauge display which displays the condition of the soil moisture sensor embedded in the plant pot.

A Comparative Management Analysis on the Performance of Different Solar Drying Methods for Drying Vegetables and Fruits

Drying is the process of moisture removal which is applied to many foodstuffs including fruits and vegetables for preservation and storage purposes. Since solar energy is one type of environmentally friendly renewable energy, open-type solar dryers, natural convective type solar dryers and greenhouse type solar dryers were designed and fabricated in this study for the preservation of fruits and vegetables. A comparative study among various solar drying methods was performed to study the drying performance by maintaining the quality and texture of the dried foodstuffs. Factors such as solar radiation, ambient temperature, moisture in the air, materials used for glazing, inclination, etc., were considered during the fabrication of the solar dryer so that a better estimate of the performance of the solar dryer could be obtained. The lowest drying rate was observed when convective drying was used as an indirect mode of heating. The maximum drying rate observed in open drying was 0.088 kg/kgh, whereas in convective drying under the same conditions, it was 0.03 kg/kgh, which was almost 65% less. This in turn also resulted in the dried samples displaying a better texture and better color. The shrinkage effect on the samples was less pronounced for those samples in the convective dryer than it was for those in the open and greenhouse dryers, as the method uses indirect drying. Comparing convective and greenhouse drying, more shrinkage and a greater browning effect were observed for the open drying method. Out of three types of solar dryers, the greenhouse dryer was selected to study thermal performance because of its better drying rate. DHT11 sensors controlled through Arduino programming were employed in this study to record the temperature and moisture at various locations in the greenhouse dryer setup. The range of energy efficiency of the greenhouse solar dryer was estimated to be from around 15% to 25% on average. This might be due to a greater extent of energy losses. No significant difference was observed in the energy efficiency with respect to the samples used for drying.

Internet of Things Analystics Menggunakan ELK Stacks Dalam Pabrik Perangkat Server

The internet is an information and communication technology that makes it easier for human activities to access data and send information into networks. For industry, the internet is also used to store data both internally and externally. There are several application facilities that are open source to help the industry save data via the internet to the cloud, one of which is the ELK stack. In this research, a simulation of a temperature and humidity monitoring system is designed for a server device factory and simultaneously calculates the amount of production. The data obtained is sent to Elasticsearch as a cloud so that the measurement data can be monitored and visualized in the form of graphs. The system is realized using a microcontroller, ESP8266, DHT11 sensor and proximity sensor. This design is equipped with an ELK system that can collect data and filter the required data so that it can be monitored and visualized in real time. The results of testing the temperature and humidity obtained are in the optimal value range and also proves that this research can be used on a large scale. It is recommended that this design be implemented in a factory or smart home to make it easier to obtain and retrieve the required data.

Design of an Intelligent Cooling System for the E-Inobus Battery Box

The battery Pack is an important component used as a source of electrical energy in E-Inobus. Therefore, an effective cooling system is required to ensure optimal conditions. So, to maintain the performance and safety of the battery pack, a system that can control the air in the battery box is needed. The purpose of this final project is to design a tool known as functional and performance testing. This research uses the R&D method that refers to the ADDIE model. The object of this research is the optimization of the cooling system in the battery box. Data collection and testing of this tool are carried out functionally, and the performance of the tool is tested. Testing the performance of the tool. The result of this research is to successfully make a cooling system optimization tool that is made using a reconditioned box and cooling system optimization tool made using a reconditioned box and Wemos Mega 2560 as a microcontroller, with testing and functional testing on DHT22 has an average difference of 0.65°C. Average difference of 0.65 ° C on the DHT22 sensor (1) and 0.32 ° C on the DHT sensor (2), then the performance test of the device. DHT sensor (2) then tests the performance when working optimally at a fan speed of 6000 Rpm with a temperature of 25 ° C, and getting optimal results can reduce the temperature by 5 ° C.

Prototyping of an Automation System for Hydroponic Strawberry Nutrient Dosing

Strawberries are a fruit that is a superior commodity in growing the economy in Indonesia. However, there was a decline in strawberry production from 2017 to 2021. This was due to constraints in the conventional cultivation process and environmental controls that were not yet optimal. This research focuses on designing an automated system for cultivating strawberries in containers using several sensors. The sensors used are the EC sensor to measure hydroponic nutrient levels, the pH sensor to measure water acidity, and the DHT22 sensor to measure temperature and humidity. Sensor data is sent to the server using IoT technology. Data is also visualized through an Android application that can be monitored from anywhere and at any time. The design of the automation system, named Amanda Mini, delivers the right amount of nutrients so that the health and nutrition of strawberry plants are sufficient. Water flow is carried out automatically using water supply pumps, sample pumps, stirrer pumps, and plant pumps. In this way, the Amanda Mini automation system facilitates hydroponic strawberry cultivation activities, which can increase strawberry production.

IOT-BASED SMART SALINE LEVEL AND HEALTH MONITORING SYSTEM

The many uses of saline solution include as providing temporary fluids when there is under or no hydration among the trauma cases. In addition, they participate in the control of salt and the levels of electrolytes in the body. To maintain the level of a saline bottle, hospital nurses or aides prime responsibility is to check it on a regular basis. The failure to replace them in time may result in a reversal of blood flow, compromising the patient’s life. An Internet of Things (IoT)-based Smart Saline Level was developed to solve this issue and to provide an automated and efficient solution for remote monitoring. The Proposed system employs Internet of Things (IoT) technology, integrating NodeMCU, a load cell amplifier (HX711), Arduino UNO, Pulse oximeter (MAX 30100) sensor, DHT11 Sensor and a voltage regulator(L7805). The load cell, in combination with the HX711 amplifier, accurately measures the weight of the saline bottle. MAX30100 sensor measures Heart Rate & Oxygen saturation (SPo2) levels in blood. DHT11 Sensor detects the Humidity and Temperature levels. All the data is transmitted to the Arduino UNO, which serves as a master, the NodeMCU facilitates wireless communication, relaying the collected data from the Arduino UNO to the designated IoT cloud platform for remote monitoring.

IoT-Integrated Multi-Sensor Plant Monitoring and Automated Tank-Based Smart Home Gardening System

Through the use of smart sensors to monitor and regulate plant conditions, smart home gardening management systems can maximize resource utilisation and minimize human intervention. This study offers a new system that remotely controls the water supply to ensure optimal plant growth without the need for personal presence. The system uses the Blynk IoT platform to monitor soil moisture and water levels. A Raspberry Pi is used in conjunction with several sensors, such as a soil moisture sensor and a DHT11 sensor for temperature and humidity readings. The technology activates a motor to provide water to the plants automatically when the soil moisture level falls below a certain threshold. Users can remotely monitor and manage the system from their cell phones thanks to integration with the Blynk platform. The suggested method is an affordable and effective way to garden in your home, and it’s simply customizable to fit the requirements of different users.

Enhancing IoT Data Integrity and Effectiveness through hybrid Compression Method: A Step Towards Energy Efficiency

The expansion of the Internet of Things (IoT) has magnified the challenge of managing data generated by IoT devices, notably in meteorological applications like temperature and humidity monitoring. This research addresses the imperative of efficiently reducing IoT data volume while preserving data integrity and underscores the significant implications for energy consumption. Our approach involved a two-fold strategy, employing the DHT11 sensor and ESP32 microcontroller for data collection, followed by an exploration of various data compression algorithms: delta encoding, run-length encoding (RLE), variable-length integer encoding (VLI), and bit-packing. The strategic combination of RLE and delta encoding yielded an exceptional compression rate of 98%. Beyond data reduction, this methodology offers energy savings by minimizing data transmission times, evidenced by the swift 133-microsecond compression process. Furthermore, the seamless transmission of compressed IoT data to Azure Cloud not only reduced cloud storage costs but also optimized storage space, contributing to energy efficiency. This research illuminates the significance of data compression in mitigating the environmental impact of IoT technologies, fostering a greener, more energy-conscious future.

Electronic prototype for data collection in situ at the facilities of the Universidad Tecnológica de Altamira

Evaluation of renewable energy sources requires detailed and accurate information, as well as the analysis of natural parameters to discover and leverage new energy sources. This information is obtained through electronic devices. These parameters are crucial for developing policies and strategies, and for using and leveraging sustainable or clean energies. With the aim of collecting real-time weather data, a prototype weather station has been created. This prototype uses the ESP32 Nodemcu card and features Wi-Fi and Bluetooth functions to transmit data to MathWorks' "ThingSpeak" platform. In addition, various sensors have been incorporated to measure different climatic parameters, such as ambient temperature (DS18B20 sensor), humidity percentage (DHT22 sensor), barometric pressure (BMP180) and wind speed (anemometer based on a Hall effect sensor). The data collected can be analyzed with the main goa of gaining an accurate understanding of the climate in a specific region. Therefore, this prototype weather station provides a useful solution for obtaining real-time data on weather conditions.

An Automatic Internet of Things-Based System for Rabbit Cage

Rabbits, low-maintenance mammals in terms of cost and space requirements, require meticulous care, encompassing disease control, feeding, and cage maintenance. To address these concerns, an automated system for feeding, drinking, temperature control, and monitoring rabbit manure gas levels within the cage was developed, all remotely accessible. The system comprises ultrasonic sensors, DHT11 sensors, MQ-135 gas sensors, a real-time clock (RTC), an Arduino Mega 2560 with built-in Wi-Fi, relays, servo motors, mini water pumps, mini fans, and a heat lamp. The feeding and drinking functions are automated, triggered by RTC sensor data or can be manually controlled through the Arduino IoT Cloud dashboard. Temperature regulation is managed based on data from the DHT11 sensor, and gas levels in the rabbit manure are monitored using the MQ-135 gas sensor. Conducting 30 tests for each primary function, including automatic and manual feeding/drinking, temperature control, and disinfectant spraying, these functions performed as designed. An exception occurred three times when the DHT11 microcontroller sensors lost connection, rendering the input from these sensors unusable. To address this issue, the addition of an extra voltage supply to the Arduino Mega 2560 microcontroller is proposed, mitigating this vulnerability.

Airsense - Air Quality Monitoring

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 to perform necessary calculations. The data is then captured to the host system serially and is used for data visualization in Realtime using python and its various libraries.

Rancang Bangun Alat Pembersih dan Pengering Gabah Berbasis Arduino Uno

The planning of this grain cleaning and drying machine is one of the efforts to apply appropriate technology. To assist the community in processing crop yields with a grain drying machine that is heated using a heater using a dht22 sensor. As a temperature and humidity sensor with a control system using an arduino uno as the brain of this tool . One of the reasons is that the grain drying process takes a long time because it still depends on sunny weather and requires a relatively large area. Because of that, the idea emerged to make a Design and Development of an Arduino Uno-Based Grain Cleaning and Dryer Tool. What I want to achieve from this final project is to dry grain without waiting for sunny weather first and of course it is more efficient in terms of energy and land for farmers and the community and produces good quality rice.

Design of Internet Of Things (IoT) trainer kit with Multi Communication

Industry 4.0, or the Fourth Industrial Revolution, is a recent technological development that has significantly changed the industrial production process. One of the keys to this change is the Internet of Things (IoT), where the role of humans is likely to diminish and be replaced by machines. Aligning the workforce with IoT is important, but creating a qualified workforce is a challenge. IoT learning modules are needed to help students understand IoT concepts. The purpose of this research is to design an Internet of Things kit module with Radio communication with LoRa SX1278 Ra-02. The research stages start from literature study, hardware design, software design and overall testing. Module testing is done by sending DHT11 sensor data using LoRa SX1278 Ra-02 and monitored in Thingspeak. From the test results that have been carried out, it can be concluded that sending using LoRa (Long Range) technology is influenced by distance and obstacles. At a distance of 40 to 230 metres, communication between the Lora Transmitter and Lora Receiver is successful, which shows that LoRa technology is able to overcome communication distances in that range. However, at a distance of more than 230 metres to 300 metres, data transmission can still be done by the Lora Transmitter, but the data cannot be received by the Lora Receiver, indicating a bottleneck in communication.