Skripsi
OPTIMALISASI FUNGSI SENSOR KELEMBABAN TANAH DENGAN MEMANFAATKAN SUMBER DAYA CAHAYA MATAHARI PADA ALAT OTOMATIS PENYIRAM TANAMAN KONSUMSI
One of the innovative steps to overcome the fossil energy crisis as the primary fuel for power plants is to utilize renewable energy, such as the application of solar modules. The output power generated by solar modules can be used to help relevant needs in various sectors, including the agricultural industry. To increase agricultural production does not appear, several essential aspects must be considered in plant maintenance, including the right watering system so that Soil Moisture levels remain optimal. This research aims to prototype a plant sprinkler with an automatic system that utilizes Photovoltaic modules to supply electrical energy, facilitate human activities, and optimize renewable energy technology. Research data from seven days shows that the prototype of automatic plant sprinklers works according to the results of Soil Moisture sensor readings. If there is a notification through the LCD that the Soil Moisture level of a plant is less than the predetermined limit, then the sprinkler will water automatically toward the plant. The data logger will record all data from research parameters such as Soil Moisture conditions, soil temperature, light intensity, voltage, and current in one-minute counts. On February 15, 2024, the maximum Soil Moisture levels recorded in the four plants were 65.95%, 65.44%, 85.67%, 85.52%.
Inventory Code | Barcode | Call Number | Location | Status |
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2407002570 | T143383 | T1433832024 | Central Library (References) | Available but not for loan - Not for Loan |
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