Proceedings of 2019 4th International Conference on Informatics and Computing, ICIC 2019, vol: , (2019)
The Monitoring System for Ammonia Gas (NH3) Hazard Detection in the Livestock Environment uses Inverse Distance Weight Method
Ashari I.A., Widodo A.P., Suryono S.
Abstract
Ammonia is one of the gases that is considered dangerous in livestock environments, especially in poultry farms. Increasing the concentration of ammonia gas in poultry cages can cause poisoning and even death of poultry when it reaches a certain concentration level. Proper and fast analysis is needed to reduce poultry mortality caused by ammonia gas. Therefore in this study a monitoring system was proposed which was able to monitor the condition of the concentration of ammonia gas in real time in the farm environment. This research builds a wireless system network system that transmits data to a web server through an internet connection. To calculate the concentration level of ammonia gas this study proposes an inverse distance weight interpolation method as its computational method. Data collection is carried out in 3 location points according to the national standardization body. Data is collected by using the MQ-135 sensors. From this research, an information system was produced which was able to monitor the concentration of ammonia gas in real time and provide a notification of the effects of hazards according to the concentration of ammonia gas at farms with an accuracy rate of MAPE 7,75%. Changes in the concentration level of ammonia gas are displayed using graphical visualization on the information system dashboard. If the ammonia condition is dangerous, the hazard message is sent via the social media application on the smartphone in the form of notification to the user. © 2019 IEEE.
Keyword: ammonia; farm; inverse distance weight; telegram; wireless sensor network