Internet of Things (Iot) based Environmental Observation on Growth Broid Chicken

Abstract

The Internet of Things (IoT) is a network system with embedded sensors connected to the internet. By applying IoT in poultry farming, it is expected that poultry farming activities will become more efficient. Broiler chickens are a breed used for meat production and represent a transition from vertebrates (warm-blooded) to invertebrates (cold-blooded), requiring an optimal maintenance temperature of 23–24 ºC and an ideal humidity range of 50%–70%. The environmental temperature in tropical Indonesia averages 27–28 ºC, which can cause stress in chickens. Symptoms of heat stress in chickens include growth disorders, decreased feed intake, restlessness, wing spreading, increased water consumption, and even death. This descriptive study uses an observational method with one treatment and five repetitions. The parameters measured in this study include temperature, humidity, feed, and chicken weight. These parameters are used to calculate the Temperature-Humidity Index (THI), feed consumption, body weight gain, final body weight, and Feed Conversion Ratio (FCR) using regression and correlation methods. The regression analysis in this study indicates a very significant effect of the dependent variable (THI) on the independent variables (feed consumption, FCR, weight gain) with a value of P < 0.01 and a significant effect of the dependent variable (THI) on the independent variable (mortality) with a value of P < 0.05. The ANOVA results, which assess differences between cages, indicate the same superscript.