MONITORING KELEMBABAN TANAH DAN INTENSITAS CAHAYA UNTUK MEDIA MICROGREEN BERBASIS INTERNET OF THINGS

Fikri, Mohamad (2024) MONITORING KELEMBABAN TANAH DAN INTENSITAS CAHAYA UNTUK MEDIA MICROGREEN BERBASIS INTERNET OF THINGS. Sarjana (S1) thesis, Universitas Islam 45.

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Abstract

Microgreen is a green vegetable and herbal plant that is harvested very young when the new contilinear leaves appear, namely after 7-14 days of seedling period, so the content of nutrients is very high. It needs soil moisture around 50% RH, light intensity around 600-700 lumens and below 1750 lux and room temperature needed for plants around 24o-29o Celcius. In this thesis research, the results of capacitive soil moisture readings on planting media are divided into three, the first 30% is a dry condition, obtained an average error of 2.73%, the second 60% is a medium condition obtained an average error of 0.5%, and the third 80% is a wet condition obtained an average error of 0.37%. For testing the BH1750 light intensity sensor, the reading results were obtained with an average error value of 1.08%. And the room temperature generated in testing using the HTC-2 Thermometer tool gets an average temperature value of 28,09 oC. From the results of the test data, the error value of the sensor used in this study has been categorized as good.

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