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Broiler chickens are livestock whose growth is influenced by environmental temperature. The temperature of the chicken coop that is not suitable can affect the decrease in productivity and cause death in broiler chickens, so that the temperature setting of the cage must be considered. The design of this temperature and humidity monitoring system uses a nodemcu ESP8266 microcontroller and an arduino uno. If the measured temperature exceeds the set temperature limit, the system will send an SMS to the smartphone so that the cage officer can take appropriate action.

Of course, a soccer field needs water and the fertility of the field soil so that the grass can grow. The development of science and technology currently has a big influence on getting work done. A pump is a tool used to move liquids (fluids) from one place to another through pipes (channels) by adding energy to the fluid being moved and continuing continuously. Currently, many water pumps still use the manual method, namely using a switch or even just using a plug. Grass will also live if the soil has appropriate humidity, if the soil moisture level is low, the grass will die if there is excess moisture and it will not be able to grow. This problem certainly requires a solution that can help monitor soil moisture as well as control water pumps. By utilizing NodeMCU ESP8266 microcontroller technology as the control center, the YL-69 sensor measures soil moisture values ​​and also relays as a replacement for manual switches. To control pump conditions via Blynk.

Control and monitoring systems that use the Internet-of-Things (IoT) can be found in everyday life, for example, in smart home applications, smart transportation, and smart cities. IoT-based monitoring of environmental conditions both indoors and outdoors is generally carried out to reduce the risk of unwanted events. One example of an unwanted event is a fire. Fires can occur in houses, office buildings, rice fields, or forests. In order to help provide early warning of a flame that can cause a fire, this study aims to design and implement an IoT-based fire detection and warning system using the NodeMCU ESP8266 and a flame sensor. The sensor used is an infrared sensor that will detect infrared light radiation coming from a fire. The test results show that the system successfully detects the presence of fire up to 50 cm from the fire sensor and can be monitored via thinger.io. Additionally, notifications from thinger.io via e-mail and Telegram to users were successfully executed.

Technology has the potential to be employed within the realm of electronics and informatics, particularly for the purpose of securing household doors using a smartphone through an internet connection. The Internet of Things (IoT) embodies a concept where internet-enabled devices can communicate with each other and their surrounding objects. This endeavor seeks to create a prototype using key components, including NodeMCU Esp8266, Servo Motor, and Fingerprint Module, with the ultimate goal of simplifying daily tasks and alleviating concerns about leaving the door unlocked upon leaving the house. The mechanism of this device entails utilizing a smartphone app to establish an internet connection, enabling users to seamlessly close and lock their house door. The underlying intention behind developing this tool is to provide assistance in managing both indoor and outdoor activities, addressing the issue of inadvertently leaving the door unlocked, and substituting traditional door locks with fingerprint recognition. By employing this innovation, individuals can conveniently regulate their house door via smartphone, saving time and effort and seamlessly integrating it into their daily routines.

In everyday life, trucks are used to transport goods. Not infrequently seen a lot of use of trucks that exceed the carrying capacity. Accidents on the highway include the impact caused by trucks that are overloaded or overloaded. The purpose of this study is to reduce the risk of accidents due to overloading or overloading. The truck load monitoring system aims to make it easier for truck users to see the truck load weight directly through a smartphone with an application. In addition, users can also see the excess weight of the load and there is an overweight indicator in the form of a buzzer. With this system, users can reduce the risk of accidents on their vehicles. This system consists of a load cell sensor and HX711 module as a weight detector, NodeMCU as a microcontroller and data transmission, firebase as a database, and android studio as a container for creating applications. Payload weight data can be monitored remotely or close according to the principles of the Internet of Things (IoT). The results of this study indicate that the system works well with the sensor accuracy level on the prototype truck 1 and truck prototype 2 above 95%. Writing data on firebase, reading firebase through the application and testing the buzzer has a 100% success rate percentage. There is no diference transmission delay between serial monitor and firebase.