Implementasi Sistem Monitoring Suhu dan pH Berbasis Internet of Things (IoT) pada Budidaya Ikan Nila Gesit (Oreochromis niloticus) dengan Bioflok

Authors

  • Noor Avia Camelia Universitas Muhammadiyah Tasikmalaya
  • Muhammaad Taufiq Universitas Muhammadiyah Tasikmalaya
  • Hani Rubiani Universitas Muhammadiyah Tasikmalaya

DOI:

https://doi.org/10.62951/switch.v4i4.938

Keywords:

Air Temperature, Biofloc, Gesit Tilapia, Internet of Things, pH

Abstract

The biofloc system has become an innovative aquaculture method due to its ability to maintain water quality and improve fish growth. The implementation of the Internet of Things (IoT) enables real-time monitoring of water quality parameters, particularly temperature and pH, which are essential for supporting fish cultivation. This study aimed to implement an IoT-based monitoring system to observe water temperature and pH conditions in a biofloc system and to analyze their relationship with the Specific Growth Rate (SGR) of Gesit tilapia (Oreochromis niloticus). This research employed a quantitative approach using an experimental method involving two biofloc ponds with different stocking densities of 1,000 and 900 fish. Temperature, pH, and fish growth data were collected over a 60-day cultivation period and analyzed using descriptive statistical methods. The results showed that water temperature ranged from 25.1°C to 28.0°C, while pH ranged from 6.5 to 7.9, indicating that both parameters remained within the optimal range for tilapia cultivation. The SGR value of the pond stocked with 900 fish reached 1.96% per day, which was higher than the pond stocked with 1,000 fish at 1.80% per day. These findings demonstrate that the IoT-based monitoring system effectively supports continuous water quality monitoring and that a stocking density of 900 fish provides better growth performance in a biofloc cultivation system.

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References

Annisa, R., Darajat, A. U., Zebua, O., Arum, R., & Priadi, S. (2023). Aplikasi Android Monitoring Suhu dan pH Pada Budidaya Ikan Nila Berbasis Internet of Things ( IoT ). 0904, 18–21.

Astrianda, N., Juliwardi, I., & Suhendra, R. (2025). Jurnal Teknologi Informasi SISTEM MONITORING BERBASIS INTERNET OF THINGS ( IOT ) UNTUK PENGENDALIAN KUALITAS AIR PADA BUDIDAYA. 125–131.

Azahra, F. V, Setia, W. G., & Prabowo, R. S. S. (2025). Teknik Pembesaran Kakap Putih ( Lates calcarifer ) Menggunakan Keramba Jaring Apung ( KJA ) Kotak di Balai Besar Riset Budidaya Laut dan Penyuluhan Perikanan Gondol , Bali. 13(1), 39–44.

Azmi, A., Irwansyah, M. A., Muhardi, H., & Kom, M. (2025). Sistem Monitoring Kualitas Air Kolam Akuakultur Udang Vaname Berbasis Internet Of Things ( Iot ) Internet Of Things ( IoT ) Based Water Quality Monitoring System for Whiteleg Shrimp Aquaculture Ponds. 13(2), 205–213. https://doi.org/10.26418/justin.v13i2.86599

Daulay, A. M., Bintoro, A., Elektro, J. T., Teknik, F., Malikussaleh, U., & Indah, K. B. (2022). Sistem monitoring air pada tangki berbasis internet of things (iot) blynk app. 378–387.

Indariyanti, N., Febriani, D., Verdian, A. H., Prastiti, L. A., & Lampung, P. N. (2024). APPLICATION OF BIOFLOC TECHNOLOGY AT THE CATFISH ENLARGEMENT IN POKDAKAN MINA KARYA VILLAGE WAY DADI SUKARAME KOTA KOTA MADYA BANDAR LAMPUNG. 5(1), 42–48.

Irhamna, A., Pratama, A., Putra, R., & Mutammimul, F. (2024). Sistem Monitoring Air Pada Kolam Budidaya Ikan Lele Berbasis Internet Of Things. 8(1), 65–82.

Kusdawarman et al. (2024). RANCANG BANGUN SISTEM MONITORING CERDAS , EFESIEN DAN RAMAH LINGKUNGAN ( SI MONCER ) UNTUK PERGANTIAN AIR KOLAM / TAMBAK BUDIDAYA IKAN , KELOMPOK PEMBUDIDAYA IKAN GREEN AQUATIC MONITORING SYSTEM DESIGN OF AN INTELLIGENT , EFFICIENT AND ENVIRONMENTALLY FRI. 177–184.

Mendrofa, K. H., Zebua, E. K., Studi, P., Daya, S., Sains, F., Teknologi, D., & Nias, U. (2025). Analisis Faktor-Faktor yang Mempengaruhi Produktivitas Budidaya Ikan Nila di Indonesia : Studi Literatur. 1.

Nugraha, S. et al. (2022). PENGARUH SISTEM BIOFLOK DAN PENAMBAHAN Chlorella sp. TERHADAP KUALITAS AIR PADA PEMELIHARAAN LARVA IKAN LELE. 17(1), 39–47.

Nurdiana, N. (2026). Pengembangan Sistem Monitoring Kualitas Air Kolam Berbasis IoT. 84–91.

Selay, A., Andgha, G. D., Alfarizi, M. A., Bintang, M. I., Falah, M. N., Khaira, M., & Encep, M. (2022). Karimah Tauhid, Volume 1 Nomor 6 (2022), e-ISSN 2963-590X. 1, 860–868.

Setiabudi, U. M., Pangeran, J., & No, D. (2024). IMPLEMENTASI SISTEM MONITORING SUHU DAN PH AIR KOLAM BUDIDAYA IKAN LELE MENGGUNAKAN ARDUINO ESP8266 DAN ARDUINO IDE. 12(3).

Simangunsong, T., & Anam, M. K. (2022). Penerapan Terkini Teknologi Bioflok dalam Budidaya Ikan Nila : Sebuah Tinjauan. 3(1), 1–8.

Siregar, S. I. G., Handani, H. W., Mege, C. R., Dwi, N., & Drantantiyas, G. (2026). Pengembangan Sistem Pemantauan Kualitas Air Akuakultur Berbasis IoT Menggunakan Logika Fuzzy Mamdani. 6(2), 99–105.

Soambaton, M. . (2024). MONITORING KOLAM IKAN NILA BERBASIS IoT. 12(2), 919–926.

Taufiq, M. (2025). Pemberdayaan Pemuda Dalam Implementasi Bioflok Aquaponik Berbasis IoT sebagai Model Ekonomi Hijau. 5(5), 921–930. https://doi.org/10.59395/altifani.v5i5.875

Wasito, E., Prahara, T., Nursyahid, A., K, S. A., & Muntaha, M. D. (2024). Implementation Of IoT In Nila Fish Cultivation With Bioflock System. 9(1), 270–279.

Yudha, A., & Alisha, Z. (2026). Implementasi IoT dalam Monitoring Kualitas Air dan Suhu pada Budidaya Ikan Discus IoT-Based Implementation for Monitoring Water Quality and Temperature in Discus Fish Aquaculture. 14(1), 51–59. https://doi.org/10.26418/justin.v14i1.93597

Yusup, H. R., Setiawan, A., Djajadikerta, H., Manajemen, M., Ekonomi, F., & Parahyangan, U. K. (2025). Penggunaan Teknologi Biofloc pada Budidaya Perikanan terhadap Peningkatan Produksi : Studi Literatur. 4(2), 153–159. https://doi.org/10.55123/insologi.v4i2.4996

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Published

2026-07-10

How to Cite

Noor Avia Camelia, Muhammaad Taufiq, & Hani Rubiani. (2026). Implementasi Sistem Monitoring Suhu dan pH Berbasis Internet of Things (IoT) pada Budidaya Ikan Nila Gesit (Oreochromis niloticus) dengan Bioflok. Switch : Jurnal Sains Dan Teknologi Informasi, 4(4), 150–160. https://doi.org/10.62951/switch.v4i4.938

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