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Article

SISTEM CERDAS IRIGASI MENGGUNAKAN METODE FUZZY LOGIC PADA TANAMAN TOMAT

  • Juliarni Pogasang
  • Gunawan Gunawan
  • La Surimi

AnoaTIK: Jurnal Teknologi Informasi dan Komputer, Vol. 2 No. 2 (2024), hlm. 90–93

Baca di situs jurnal doi.org/10.33772/anoatik.v2i2.69

Abstrak

This study designs an IoT-based intelligent irrigation system using Fuzzy Logic to manage tomato plant watering. The system monitors soil moisture and temperature in real-time, automating irrigation to optimize water usage based on plant needs. Using the Fuzzy Sugeno method, it combines moisture and temperature data to determine watering duration. Key components include sensors, a microcontroller, an IoT module integrated with the Blynk app, and an automatic water pump. Testing shows the system functions effectively, detecting environmental changes with a 0.47% deviation from manual methods and achieving a 99.50% automation success rate.

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