STUDY OF THE EFFECT OF PHYSICAL PARAMETERS ON WATER SPINACH (IPOMOEA AQUATICA) IN COMMERCIAL HYDROPONIC SYSTEM BASED ON INTERNET OF THINGS (IOT)

• Main Author: Anggara Suci Ramadani, Prianka
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/60700
• Institution: Institut Teknologi Bandung

The growth in population on a global or local scale must be followed by the fulfilment of growing food needs. This is often difficult to do due to the reduced availability of land ready for planting, one system that can be used to overcome this problem is the hydroponic farming system. Advantages of hydroponic farming systems over conventional farming systems are its ability to have a more comprehensive control over the entire system. Hydroponic farming system also has several drawbacks including relatively fast plant growth, so that supervision is needed at any time. This research will study the effect of physical parameters on water spinach in, followed by building a plant growth model for water spinach using machine learning to determine which parameters affects growth the most . The data that will be used in the machine learning process are light intensity, humidity, air temperature, and solution concentration as independent variable, with number of leaves and stem length as dependent variables. The model to be used is linear regression model and polynomial regression model, with an error function of ????2 and Mean Absolute Error (MAE). Measurement of each variable was carried out for one month. The system that has been made can run well without experiencing problems. The results of the analysis showed that the model used to predict growth had an ????2=0.75 and ????????????=12.69% for linear model and ????2=0.81 dan ????????????=10.01% for polynomial model, the parameters that affects water spinach growth the most, sequentially, were, solution concentration, humidity and air temperature, and finally light intensity.