Automation of Water Quality Recovery in Vannamei Shrimp Aquaculture using the KNN Algorithm and Fuzzy Logic

Mudawil Qulub, Muh Fahruddin, Muhamad Sari Rizki, Adi Saputra

Abstract


Vannamei shrimp play a crucial role in Indonesia’s fisheries and export industries. Despite their high potential, shrimp aquaculture still faces significant challenges, particularly disease susceptibility caused by fluctuations in water quality and pond environmental conditions. This study aims to develop a system capable of automatically monitoring and restoring water quality using the K-Nearest Neighbors (KNN) algorithm and fuzzy logic. The research adopts a research and development (R&D) approach, which includes problem analysis, data collection, system design, development, testing, evaluation, and implementation. The system employs the KNN algorithm with K=5K = 5K=5 to diagnose water quality conditions, while fuzzy logic is used to automatically control aerators, pumps, and drainage systems. The sensors utilized include salinity, pH, temperature, dissolved oxygen, and turbidity, all integrated through an ESP32 microcontroller within an Internet of Things (IoT) network. The results demonstrate that the system achieves a diagnostic accuracy of 95% and is capable of automatically controlling recovery devices. With real-time and automated operation, the system effectively maintains pond water quality, thereby improving productivity and the overall success of vannamei shrimp aquaculture.

Keywords


automatically recovery; fuzzy logic; KNN; water quality; vannamei shrimp

References


Jala, “Ranking Indonesia di Peta Persaingan Eksportir Udang Dunia,” Jala.Tech Udang smartfarm. [Online]. Available: https://jala.tech/id/blog/industri-udang/ranking-indonesia-di-peta-persaingan-eksportir-udang-dunia

Direktorat Jenderal Penguatan Daya Saing Produk Kelautan dan Perikanan, “Profil Pasar Udang,” p. 22, 2023, [Online]. Available: https://kkp.go.id/download-pdf/Materi - profil-pasar-udang667533620a258.pdf

A. Zamzami, O. Fransisco, I. Irwan, and M. I. Nugraha, “Sistem Monitoring Kualitas Air Tambak Udang berbasis Internet of Things (IoT),” Semin. Nas. Inov. Teknol. Terap., 2021.

R. Aprilia, D. N. Ramadhan, and I. D. Inawati, “Sistem Monitoring Kualitas Air pada Tambak Udang Vaname di Kecamatan Kalitengah berbasis Internet of Things,” e-Proceeding Appl. SCI., Vol. 9, No. 1, 2023.

M. R. U. Albaab, R. Purbanigtyas, M. F. A. Kusuma, J. Vitasari, D. A. Nugroho, and A. P. P. Rudi, “Website Monitoring Pintar Terintegrasi berbasis IoT pada Budidaya Lobster Air Tawar,” J. Apl. Teknol. Inf. dan Manaj., Vol. 4, No. 1, 2023, DOI: 10.31102/jatim.v4ino.1.1978.

D. A. Susilo, J. Maulindar, and M. E. Yuliana, “Perancangan Alat Monitoring Kualitas Air Kolam Ikan Lele berbasis Internet of Things,” Innov. J. Soc. SCI. Res., Vol. 3, No. 2, 2023.

A. Putra et al., “Analisis Kualitas Air pada Budidaya Udang Vaname (Litopenaeus Vannamei) Sistem Intensif,” J. Perikan. Unram, Vol. 13, No. 3, 2024, DOI: 10.29303/jp.v13i3.569.

A. Trisna Nugraha, P. Asri, P. Darmajanti, D. I. Y. Agna, and Muhammad U. Amrullah, “Rancang Bangun Monitoring Kualitas Air Tambak Udang Vaname dengan Kontrol Paddle Wheel berbasis Mikrokontroller,” J. 7 Samudra, Vol. 8, No. 2, 2023, DOI: 10.54992/7samudra.v8i2.132.

M. Qomaruddin, A. Riansyah, and H. M. Hermawan, “Mamdani Fuzzy-based Water Quality Monitoring and Control System in Vannamei Shrimp Farming using the Internet of Things,” Int. J. Adv. Appl. SCI., Vol. 13, No. 1, 2024, DOI: 10.11591/ijaas.v13.i1.pp180-187.

Y. N. Kristiantya, E. Setiawan, and B. H. Prasetio, “Sistem Kontrol dan Monitoring Kualitas Air pada Kolam Ikan Air Tawar menggunakan Logika Fuzzy berbasis Arduino,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., Vol. 6, No. 7, 2022.

F. Y. Rahman, I. I. Purnomo, and N. Hijriana, “Penerapan Algoritma Data Mining untuk Klasifikasi Kualitas Air,” Technol. J. Ilm., Vol. 13, No. 3, 2022, DOI: 10.31602/tji.v13i3.7070.

F. I. Amaliah, A. I. Gunawan, T. Taufiqurrahman, B. S. Bayu Dewantara, and F. A. Saputra, “Water Quality Level for Shrimp Pond at Probolinggo Area based on Fuzzy Classification System,” J. Rekayasa Elektr., Vol. 19, No. 1, 2023, DOI: 10.17529/jre.v19i1.28631.

M. F. Akbar and D. Irawan, “Sistem Kontrol Kualitas Air Tambak Udang berbasis Fuzzy Logic,” J. Ris. Rekayasa Elektro, Vol. 5, No. 1, 2023, DOI: 10.30595/jrre.v5i1.17547.

Mdwih, “Desain dan Analisa E-Fishery Urban Fish Farming untuk mengendalikan Kualitas Air Kolam menggunakan Algortima Fuzzy,” J. Comput. Electron. Telecommun., Vol. 2, No. 2, 2022, DOI: 10.52435/complete.v2i2.179.

C. Bett and L. Vinatea, “Combined Effect of Body Weight, Temperature and Salinity on Shrimp Litopenaeus Vannamei Oxygen Consumption Rate,” Brazilian J. Oceanogr., Vol. 57, No. 4, 2009, DOI: 10.1590/S1679-87592009000400005.

P. E. Jelinda, Y. Jasmanidar, and A. Tjendanawangi, “Pengaruh pH Berbeda terhadap Pertumbuhan dan Kelangsungan Hidup Udang Vanname (Litopenaeus Vannamei),” J. Vokasi Ilmu-Ilmu Perikan., Vol. 4, No. 2, p. 209, 2024, DOI: 10.35726/jvip.v4i2.7222.

T. Nonwachai, W. Purivirojku, N. Chuchird, and C. Limsuwan, “Effects of Dissolved Oxygen Levels on Growth, Survival and Immune Response of Juvenile Pacific White Shrimp Litopenaeus vannamei,” J. Fish. Enviroment, Vol. 35, No. 3, 2011.

M. H. Labusa, W. Isroni, and N. N. Dewi, “The Effect of Different Salinity on Growth Rate and Survival Rate of Post-Larva (PL-9) Vanname Shrimp ( Litopenaeus Vannamei ),” J. Aquac. Dev. Environ., Vol. 7, No. 2, pp. 490–495, 2024, DOI: 10.31002/jade.v7i2.2206.

J.-B. D. de Tailly, G. Bardera, M. A. . Owen, and J. Keitel, “Influence of Turbidity on Group Level Responses to Feeding in the Pacific White Shrimp (Litopenaeus Vannamei),” Appl. Anim. Behav. SCI., Vol. 284, 2025.




DOI: https://doi.org/10.32520/stmsi.v15i3.5888

Article Metrics

Abstract view : 0 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.