Optimizing Catfish Farming Through IoT-Driven Water Quality Management
Mengoptimalkan Budidaya Ikan Lele Melalui Manajemen Kualitas Air Berbasis IoT
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(1) Muhammad Darmaji Universitas Muhammadiyah Sidoarjo
Indonesia
(2) * Arief Wisaksono
Universitas Muhammadiyah Sidoarjo
Indonesia
(*) Corresponding Author
Abstract
General Background: Catfish play a significant role in the global fishing industry, necessitating effective farming practices to enhance productivity and sustainability. Specific Background: However, challenges such as maintaining optimal water quality in aquaculture ponds, particularly concerning ammonia levels and temperature fluctuations, pose threats to catfish health and production efficiency. Knowledge Gap: Previous research has often focused on single-parameter monitoring, lacking comprehensive systems that integrate real-time data for both ammonia and temperature management. Aims: This study aims to develop an advanced Internet of Things (IoT) system for real-time monitoring and control of ammonia levels and water temperature in catfish ponds, facilitating optimal farming conditions. Results: The implemented system utilizes two sensors to measure ammonia and temperature, integrated with the Blynk IoT platform for remote monitoring. The findings indicate that when water temperature exceeds 26 °C, the water pump activates to regulate temperature, while ammonia levels above 5 NH3 trigger the aerator to enhance oxygen levels and reduce ammonia toxicity. Novelty: This research innovatively combines multiple sensors and modern IoT applications, offering a more robust solution for aquaculture management compared to previous studies. Implications: The monitoring system effectively maintains water quality, enhancing catfish farming sustainability and efficiency, emphasizing the need for technology integration in aquaculture to effectively tackle environmental challenges.
Highlights:
- Real-time Monitoring: Continuous tracking of ammonia and temperature levels.
- Automated Control: Activates pumps and aerators based on set thresholds.
- Enhanced Sustainability: Supports healthier catfish and optimizes production efficiency.
Keywords: Catfish Farming, IoT, Water Quality Monitoring, Ammonia Control, Temperature Management
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References
Y. Mulyani, D. Y. Pratiwi, and M. U. K. Agung, “Penyuluhan Daring Manajemen Kualitas Air untuk Budidaya Ikan dalam Ember di Desa Cipacing, Kecamatan Jatinangor, Kabupaten Sumedang, Jawa Barat,” Farmers J. Community Serv., vol. 2, no. 1, p. 42, 2021, doi: 10.24198/fjcs.v2i1.31546.
A. B. Zaidy, “Pengaruh Pergantian Air Terhadap Kualitas Air dan Performa Produksi Ikan Lele Dumbo (Clarias gariepenus) Dipelihara di Kolam Bioflok,” J. Penyul. Perikan. dan Kelaut., vol. 16, no. 1, pp. 95–107, 2022, doi: 10.33378/jppik.v16i1.324.
Nova Nova, Ni Made Suwitri Parwati, and Fera Fera, “Analisis Kendala Budidaya Ikan Nila Dengan Metode Bioflok Di desa Karawana Kec. Dolo Kab. Sigi,” Transform. J. Econ. Bus. Manag., vol. 2, no. 1, pp. 257–263, 2023, doi: 10.56444/transformasi.v2i1.525.
I. G. H. Putrawan, P. Rahardjo, and I. G. A. P. R. Agung, “Sistem Monitoring Tingkat Kekeruhan Air dan Pemberi Pakan Otomatis pada Kolam Budidaya Ikan Koi Berbasis NodeMCU,” Maj. Ilm. Teknol. Elektro, vol. 19, no. 1, p. 1, 2019, doi: 10.24843/mite.2020.v19i01.p01.
Sari, “Verifikasi Metode Uji Amoniak (NH3 ) dalam Air Sungai secara Spektrofotometri UV-Visible di Dinas Lingkungan Hidup dan Kehutanan Yogyakarta,” UII yogyakarta, p. 89, 2020, [Online]. Available: https://dspace.uii.ac.id/handle/123456789/28786
D. N. Saputra, K. A. Ariningsih, M. P. Wau, R. Noviyani, E. Y. Awe, and L. Firdausiyah, Keberlanjutan Pengelolaan Budidaya Ikan Nika dan Gabus, no. January. 2021.
M. R. Satriawan, G. Priyandoko, and S. Setiawidayat, “Monitoring pH Dan Suhu Air Pada Budidaya Ikan Mas Koki Berbasis IoT,” Jambura J. Electr. Electron. Eng., vol. 5, no. 1, pp. 12–17, 2023, doi: 10.37905/jjeee.v5i1.16083.
M. A. Sahuri, D. Hadidjaja, A. Wisaksono, and J. Jamaaluddin, “Rancang Bangun Alat Monitoring Kondisi Suhu Tubuh Dan Jantung Pasien Saat Perawatan Berbasis Internet of Things (Iot),” Dinamik, vol. 26, no. 2, pp. 68–79, 2021, doi: 10.35315/dinamik.v26i2.8691.
R. Jeprianto and R. N. Rohmah, “Monitoring dan Controlling Kadar Ph pada Air Kolam Ikan dengan Menggunakan Aplikasi Blynk Berbasis Esp Node Mcu,” Emit. J. Tek. Elektro, vol. 21, no. 2, pp. 95–102, 2021, doi: 10.23917/emitor.v21i2.13874.
S. Suriana, A. P. Lubis, and E. Rahayu, “Sistem Monitoring Jarak Jauh Pada Suhu Kolam Ikan Nila Bangkok Memanfaatkan Internet of Things (IOT) Berbasis NODEMCUESP8266,” JUTSI (Jurnal Teknol. dan Sist. Informasi), vol. 1, no. 1, pp. 1–8, 2021, doi: 10.33330/jutsi.v1i1.1004.
F. Hidayat, A. Harijanto, and B. Supriadi, “RANCANG BANGUN ALAT UKUR SISTEM MONITORING pH DAN SUHU KOLAM IKAN LELE BERBASIS IoT DENGAN ESP8266,” vol. 5, no. 2, 2022.
A. M. Hendri, J. Jufrizel, H. Zarory, and A. Faizal, “Alat Monitoring Kadar Amonia dan Pengontrolan pH pada Kolam Ikan Lele Berbasis IoT,” Briliant J. Ris. dan Konseptual, vol. 8, no. 1, p. 272, 2023, doi: 10.28926/briliant.v8i1.1200.
S. Haji, A. Ahfas, S. Syahrorini, and S. D. Ayuni, “Leakage Warning System and Monitoring Lapindo Sidoarjo Mud Embankment Based on Internet of Things,” Indones. J. Artif. Intell. Data Min., vol. 7, no. 1, pp. 57–63, 2023, doi: 10.24014/ijaidm.v7i1.25269.
F. R. Ibrahim, F. T. Syifa, and H. Pujiharsono, “Penerapan Sensor Suhu DS18B20 dan Sensor pH sebagai Otomatisasi Pakan Ikan Berbasis IoT,” J. Telecommun. Electron. Control Eng., vol. 5, no. 2, pp. 63–73, 2023, doi: 10.20895/jtece.v5i2.844.
S. Sumitro, A. Afandi, K. W. Hidayat, and R. Pratiwi, “Evaluasi Beberapa Desain Pipa Mikropori Sebagai Sistem Aerasi Dalam Budidaya Ikan Lele (Clarias gariepinus) Intensif Berbasis Teknologi Bioflok,” J. Aquac. Fish Heal., vol. 9, no. 2, p. 114, 2020, doi: 10.20473/jafh.v9i2.16692.
Copyright (c) 2024 Muhammad Darmaji, Arief Wisaksono
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