Liwijaya, Angga (2025) STUDI HUBUNGAN ANTARA VARIASI IRRADIANCE HARIAN, STABILITAS OUTPUT PV, DAN KESEIMBANGAN EKOSISTEM IKAN DI SISTEM AQUAPONIK MENGGUNAKAN PENDEKATAN DEEP LEARNING. Diploma thesis, Politeknik Negeri Sriwijaya.
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Abstract
Variasi irradiance harian berdampak langsung pada stabilitas daya panel surya (PV) dan kualitas lingkungan dalam sistem aquaponik. Penelitian ini mengkaji hubungan antara fluktuasi irradiance, output PV, dan keseimbangan ekosistem ikan menggunakan model Convolutional Neural Network - Long Short-Term Memory (CNN-LSTM). Data irradiance dan parameter air dikumpulkan melalui sensor, kemudian diproses dan dianalisis untuk memprediksi daya PV. Evaluasi dengan MSE, MAE, dan R² menunjukkan bahwa model mampu memberikan prediksi yang akurat. Hasil menunjukkan adanya korelasi antara penurunan daya PV dan gangguan parameter suhu dan pH air, yang berpengaruh pada ekosistem ikan. Studi ini menegaskan bahwa pendekatan deep learning efektif dalam menjaga stabilitas sistem aquaponik berbasis energi terbarukan. Kata Kunci: CNN-LSTM, Output PV, Irradiance, Aquaponik, Deep Learning, Ekosistem Ikan.
| Item Type: | Thesis (Diploma) |
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| Uncontrolled Keywords: | CNN-LSTM, Output PV, Irradiance, Aquaponik, Deep Learning, Ekosistem Ikan |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electronic Engineering > Undergraduate Theses |
| Depositing User: | Pustaka Teknik Elektro |
| Date Deposited: | 14 Aug 2025 07:51 |
| Last Modified: | 14 Aug 2025 07:51 |
| URI: | http://eprints.polsri.ac.id/id/eprint/18193 |
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