The Design And Implementation Of Water Spinach Cultivation Monitoring Based On Internet Of Things Systems

Alliefiandi Satriawan, Ahmad Tri Hanuranto, Sevierda Raniprima

Abstract

Dry season is a condition during which a tropical region experiences a period of rainfall. In several regions in Indonesia, farmers experience crop failure due to the prolonged dry season. The main problem of this is due to the lack of water intake in some plants, especially land spinach (Ipomoea reptans) . This study created an alternative tool to help farmers provide water intake for land spinach (Ipomoea reptans) by creating the design and carrying out the implementation of land spinach cultivation monitoring based on internet of things system. With this alternative tool, farmers can water the plants automatically and manually from a distance.\ In this study, the automatic plant watering tool used a soil moisture sensor with a minimum humidity value of 60\% and a maximum of 100\%. The height measurement used the HC-SR04 sensor (Ultrasonic Sensor) with a value of 15 to 25 cm. The measurement of soil acidity used a soil pH sensor with a normal pH value of 5.5 to 7. Moreover, NodeMcu was employed as a microcontroller. The data obtained by the sensor were processed by NodeMcu and uploaded to Firebase using a Wi-Fi network, then displayed on the website. With this component, the plant watering tool could be operated automatically.\ The results denoted that this tool could automatically water the land spinach (Ipomoea reptans). The measurement data could be viewed on the website in real time. Measurements on land spinach (Ipomoea reptans) were carried out at three different mounds. The tests were done to determine the value of soil quality suitable for land spinach (Ipomoea reptans) fertility. The average yields of soil quality were 90\% humidity, 5.5 for soil pH, and 10 cm for height at mound one; 89\% humidity, 5.7 for soil pH, and 10 cm for height at mound two; and 91\% humidity, 5.6 for soil pH, and a height of 10 cm at mound three. Keywords: Internet of Things (IoT), Sensor, Soil Fertility, land spinach.

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