INTERNET OF THINGS BASED HYDROPONIC MONITORING SYSTEM BY PUBLIS-SUBSCRIBE METHOD
Population growth, which is faster than food production, especially vegetables, makes some people try various ways to produce food on narrow land in a short time. One such method is the hydroponic method. However, the hydroponic method has several disadvantages, namely the need for intensive monitor...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/39333 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Population growth, which is faster than food production, especially vegetables, makes some people try various ways to produce food on narrow land in a short time. One such method is the hydroponic method. However, the hydroponic method has several disadvantages, namely the need for intensive monitoring because of the reaction of plants to environmental conditions and rapid nutrient solutions. In addition, technology support is needed to monitor hydroponic systems that have more than one type of system (different nutrient solutions) and location.
The Internet of Things (IoT) technology makes it easier to monitor hydroponic systems that run more than one system. In this study, a hydroponic system has been created to support monitoring of more than one system. This system is built with the architecture of the chart with sensors as the earliest point to get physical quantities and the magnitude is displayed to the user. Data communication system uses Message Queuing Transport Telemetry (MQTT) that uses a publish-subscribe pattern with sensor data sent through publishers and subscribers can view the sensor data. Each publisher and subscriber can amount to more than one, so it becomes a consideration to choose this system protocol. MQTT communicates data with the TCP / IP transport layer and the topology used is a star topology. This system runs with Wi-Fi networks within the ITB network. The variables that can be monitored consist of microclimate variables, physical properties of nutrient solutions, and chemical properties of nutrient solutions. Microclimate variables are temperature and humidity. The variable physical properties of nutrient solutions consist of temperature and solution discharge. Chemical variables consist of pH and conductivity of nutrient solutions. These three variables influence plant growth, so it needs to be monitored with IoT through a web page interface. The IoT hydroponic system monitoring interface has a data visualization feature in the form of instant data, line curves for time (days) and modeling features to see system trends.
This system has been tested to get the initial data and then tested further with a clean test. Accuracy and precision obtained from the performance of hydroponic systems from clean test data have an average of above 90%. The resulting system results in a data transfer time of 30 seconds so that the smallest time sampling is worth 1 minute to prevent errors in sending sensor data to the system. |
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