| dc.description.abstract | As a greenhouse, is a building with a translucent roof that has the function
of avoiding or manipulating unwanted environmental conditions and desired
environmental conditions. The purpose of this research is to design and build a
smart greenhouse prototype that can be monitored and can be controlled
automatically remotely. The analytical method used is the experimental method,
namely through the implementation of experiments and calculations directly in the
field. The data used in this study is composed of primary data through the use of
an IoT (Internet of Things) network that connects the smart greenhouse prototype
with the blynk application used to monitor conditions in the greenhouse. The
research results explained that in the smart greenhouse prototype the highest air
temperature occurred at an average temperature of 42oC, while the lowest air
temperature occurred at an average temperature of 29oC. The highest humidity
occurs at an average humidity of 90%, while the lowest humidity occurs at an
average humidity of 45%. The highest light intensity occurs at an average light
intensity of 31360 Ix, while the lowest light intensity occurs at an average light
intensity of 8902 Ix. The highest nutrient temperature occurs at an average
temperature of 34oC, while the lowest nutrient temperature occurs at an average
temperature of 25oC. The nutrient density tends to be stable, namely 1128-1196
ppm. The results showed that the fixed costs incurred amounted to
Rp 110,500/year and variable costs is Rp 23,928/hour. The Break even point in
this device is 36 pakcoy plants. The NPV value obtained at a 5% interest rate of
Rp 26,469.45/year. The IRR value obtained is 26.565%. | en_US |
