Rancang Bangun Sistem Pemantauan Kualitas Air Menggunakan Sensor pH dan TDS untuk Prediksi Pertumbuhan Ikan Lele dengan Machine Learning
Keywords:
IoT, Kualitas Air, pH dan TDS, Machine Learning, Ikan LeleAbstract
Keterlambatan, hingga kerugian yang diakibatkan kematian masal karena penurunan kualitas air secara tiba tiba. Parameter pH dan TDS (Total Dissolved Solids) selalu memberikan pengaruh yang sangat signifikan terhadap kualitas air. Untuk mengatasi masalahan tersebut, dikembangkan sebuah sistem monitoring kualitas air berbasis Internet of Things (IoT) yang dirancang untuk aplikasi budidaya perikanan khususnya ikan lele, dengan menggunakan sensor pH dan TDS dengan mikrokontroler Arduino protenta H7. Data kualitas air dikirimkan secara real-time ke platform ThingSpeak, sehingga dapat melakukan pemantauan dari jarak jauh. Selain itu data hasil pemantauan dapat digunakan untuk memprediksi pertumbuhan ikan menggunakan model machine learning untuk memprediksi bobot ikan lele, yaitu Random Forest Regressor. Hasil pengujian menunjukkan sistem monitoring dapat bekerja secara otomatis dan dapat menghasilkan empat ribu data setiap harinya, sementara itu model prediksi dapat menghasilkan Root Mean Square Error sebesar 0,952 gram, Mean Absolute Error sebesar 0,810 gram, dan koefisien determinasi (R²) sebesar 0,866. Sistem ini dapat membantu pemantauan kualitas air dan memprediksi pertumbuhan ikan untuk mendukung produktivitas budidaya perikanan
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