scholarly journals Penerapan Artificial Intelligence untuk Kontrol Suhu dan Kelembapan pada Kandang Broiler berbasis Internet of Things

2021 ◽  
Vol 5 (2) ◽  
pp. 59-68
Author(s):  
Adimas Ketut Nalendra ◽  
Heri Priya Waspada

Abstract – Broiler chickens or broiler chickens are one of the popular sources of nutrition in Indonesia. The production of broilers reaches 3.15 billion heads, with the most production center on Java’s island. The Covid-19 disaster that hit Indonesia caused broilers’ production to decrease due to the government’s social restrictions. To maximize production and reduce production efficiency, artificial Intelligent application innovations are carried out for temperature, humidity, and gas control in broiler chicken coops. Artificial Intelligent methods of developing machines can think like humans to help control and make decisions. This artificial Intelligent model uses a fuzzy logic  Pulse Width Modulator (PWM)model. The device used for control utilizes Internet of Things technology with a microcontroller as its primary device and sensor as an environmental data reader. The microcontroller used is ESP32 which has been embedded with Wifi to facilitate the transmission of data to the server. To read the sensors’ environmental conditions used by temperature sensors, humidity uses DHT11 and ammonia gas using MQ2. Environment data is sent to the server, which is useful for the user monitoring the cage environment’s condition remotely and, if needed, can be controlled by using the application interface. In this research, the process of system development using waterfall method, namely needs analysis, design, implementation and testing. The system’s application results were tested using two models, namely, trying the sensor reading value compared to the weight on the hygrometer and observation of the reaction of chickens in the cage. The test results obtained the difference in value between the sensor and hygrometer can be tolerated and the chicken reaction following the system’s cooling status.

Author(s):  
Yogi Isro Mukti ◽  
Fitria Rahmadayanti ◽  
Diti Tri Utami Diti

This study aims to design and build Internet of Things-based smart monitoring of temperature and humidity in broiler chicken coops in Talang Kemiling Pagar Alam that can facilitate and help breeders. This research is monitoring temperature and humidity which still uses the farmer's body itself as a temperature and humidity sensing tool, so that farmers do not know what the actual temperature and humidity are in the chicken coop. Therefore it is necessary to make a tool that can monitor temperature and humidity conditions in broiler chicken coops by utilizing the existing internet network using temperature and humidity sensors, namely DHT11, 1 channel relay for lamp control, and NODEMCU ESP8266 as a microcontroller that processes and transmits data from sensors. to the telegram server via the internet network, the telegram application on an android smartphone is used as an interface for monitoring temperature and humidity in broiler chicken coops remotely. This research uses the Rapid Application Development (RAD) system development method. The stages taken are Requirement Planning, Design Workshop, Build The System and Implementation. To obtain data in this study, researchers conducted data collection techniques including observation, interviews and literature study. The results expected from this study are the tools produced can help and facilitate breeders in raising broiler chickens.


2013 ◽  
Vol 791-793 ◽  
pp. 1651-1655
Author(s):  
Kai Sheng Zhang ◽  
Xiao Wei Zhang ◽  
Yan Zhou ◽  
Wei Tang

In order to provide the environment for the growth of a crop monitoring program, design a monitoring system. In accordance with three-tier structure of the Internet of Things ,the structure of system is built by the way of using aware interactive layer, network transport layer, application service layer. By using Things technology the function of monitoring and controlling the agricultural greenhouse air temperature and humidity, light intensity and other environmental data is implemented. The data that sensors have collected is processed by Bayes filtering and sent to the monitoring terminal platform to display. The simulation results show that reliability of data through the Bayes filtering is enhanced. By making the MATLAB software simulation experiment the results show that the system is running well, the communication is normal, and after the filtering process the monitoring data curve is smoother, reducing data errors.


Author(s):  
R.S. Nakandhrakumar ◽  
P. Rameshkumar ◽  
V. Parthasarathy ◽  
B. Thirupathy Rao

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