Smart Aquaculture Design for Vannamei Shrimp Farming Based on Quality Function Development

Authors

  • Budi Setiawan Bina Nusantara University
  • Nico Surantha Bina Nusantara University

DOI:

https://doi.org/10.21512/commit.v18i2.9466

Keywords:

Smart Aquaculture Design, Vannamei Shrimp, Quality Function Development (QFD)

Abstract

In the fishery industry, Indonesia’s large water area has the potential for developing and cultivating fisheries such as vannamei shrimp. For this reason, aquaculture, particularly vannamei shrimp farming, can play a crucial role in Indonesia’s economy and food supply. However, challenges such as fluctuating water quality, disease outbreaks, turbidity levels, and irregular shrimp feeding schedules in ponds can affect the productivity and sustainability of shrimp farming. The smart aquaculture system integrates technologies, such as IoT-based sensors, automated feeding mechanisms, and real-time water quality monitoring to optimize the farming process. The research proposes a smart aquaculture design for vannamei shrimp farming based on the Quality Function Development (QFD) method. It starts by creating questionnaires to identify stakeholders’ level of interest. The questionnaire results are used as a reference for system redesign using the QFD method to improve the quality and quantity of shrimp harvest, cultivating effectively and efficiently and helping and facilitating the supervision of pond managers on pond water quality, feeding, and feed availability. The result highlights the application of QFD in creating a tailored, technology-driven solution that supports better decision-making, resource optimization, and improved shrimp health. The system reduces human error, enhances farm management, and promotes higher yields by providing real-time data and automation. The evaluation results show that the proposed design can achieve high stakeholder satisfaction. It also achieves better scores compared to the other two competitor’s designs.

Dimensions

Plum Analytics

Author Biographies

Budi Setiawan, Bina Nusantara University

Industrial Engineering Department, BINUS Graduate Program – Master of Industrial Engineering

Nico Surantha, Bina Nusantara University

Computer Science Department, BINUS Graduate Program – Master of Computer Science

References

F. Darus, M. Z. Ayob, H. A. Hassan, I. S. Ridzuan, M. R. Abd Razak, A. Abd.Rahman, I. Ahmad, and H. Baharuddin, “Potential of using Internet of Things (IoT) for water quality monitoring in aquaculture: A case study in freshwater catfish culture in Rawang, Selangor, Malaysia,” TEST Engineering & Management, vol. 83, pp. 2163–2169, 2020.

M. Abdullah, S. M. Idrus, K. M. Yusof, A. I. Azmi, W. Ismail, K. H. Kamaludin, N. Ali, A. Rani, and F. Yusof, “Field trial and performance evaluation of IoT smart aquaculture monitoring system for brackish water shrimp farm,” International Journal of Nanoelectronics & Materials, vol. 14, pp. 237–243, 2021.

J. B. Darodes de Tailly, J. Keitel, M. A. G. Owen, J. M. Alcaraz-Calero, M. E. Alexander, and K. A. Sloman, “Monitoring methods of feeding behaviour to answer key questions in penaeid shrimp feeding,” Reviews in Aquaculture, vol. 13, no. 4, pp. 1828–1843, 2021.

J. Huang, C. C. Hung, S. R. Kuang, Y. N. Chang, K. Y. Huang, C. R. Tsai, and K. L. Feng, “The prototype of a smart underwater surveillance system for shrimp farming,” in 2018 IEEE International Conference on Advanced Manufacturing (ICAM). Yunlin, Taiwan: IEEE, Nov. 16–18, 2018, pp. 177–180.

Z. Zainuddin, R. Idris, and A. Azis, “Water quality monitoring system for vannamae shrimp cultivation based on wireless sensor network in Taipa, Mappakasunggu district, Takalar,” in First International Conference on Materials Engineering and Management-Engineering Section (ICMEMe 2018). Makassar, Indonesia: Atlantis Press, 2019, pp. 89–92.

F. Fatahillah, E. Rimawan, A. Waskito, and S. Apfiasari, “Strategy to win the competition by developing products and services using the QFD method in moldbase manufacturing,” International Journal of Special Education, vol. 3, no. 3, pp. 2487–2499, 2022.

Y. Irawan, H. Fonda, E. Sabna, and A. Febriani, “Intelligent quality control of shrimp aquaculture based on real-time system and IoT using mobile device,” International Journal of Engineering Trends and Technology, vol. 69, pp. 49–56, 2021.

M. Junda, “Development of intensive shrimp farming, Litopenaeus vannamei in land-based ponds: Production and management,” Journal of Physics: Conference Series, vol. 1028, pp. 1–6, 2018.

M. A. A. Khan, X. Lian, I. K. Mirani, and L. Tan, “Research on key technologies of electronic shelf labels based on LoRa,” Journal on Big Data, no. 2, pp. 49–63, 2021.

S. Liu, L. Guo, H. Webb, X. Ya, and X. Chang, “Internet of things monitoring system of modern eco-agriculture based on cloud computing,” IEEE Access, vol. 7, pp. 37 050–37 058, 2019.

M. Mansor, W. A. W. Adnan, R. A. Wahid, and J. Hamid, “Step by step implementation of DSRM for personalization of reading,” International Journal of Humanities, Management and Social Science (IJ-HUMASS), vol. 4, no. 1, pp. 35–41, 2021.

O. A. Nasir and S. Mumtazah, “IoT-based monitoring of aquaculture system,” MATTER: International Journal of Science and Technology, vol. 6, no. 1, pp. 113–137, 2020.

I. Odun-Ayo, M. Ananya, F. Agono, and R. Goddy-Worlu, “Cloud computing architecture: A critical analysis,” in 2018 18th International Conference on Computational Science and Applications (ICCSA). Melbourne, Australia: IEEE, July 2–5, 2018, pp. 1–7.

N. D. Setiawan and I. A. Dianta, “Sistem monitoring dan kontroling kualitas air tambak udang vannamei berbasis Arduino menggunakan teknologi Internet of things,” MEANS (Media Informasi Analisa dan Sistem), vol. 5, no. 2, pp. 105–108, 2020.

S. N. T. M. Yasin, M. F. M. Yunus, and N. B. A. Wahab, “The development of water quality monitoring system using Internet of things,” Journal of Educational and Learning Studies, vol. 3, no. 1, pp. 14–20, 2020.

S. L. Ullo and G. R. Sinha, “Advances in smart environment monitoring systems using IoT and sensors,” Sensors, vol. 20, no. 11, pp. 1–18, 2020.

L. J. Fleckenstein, N. A. Kring, T. W. Tierney, J. C. Fisk, B. C. Lawson, and A. J. Ray, “The effects of artificial substrate and stocking density on Pacific white shrimp (Litopenaeus vannamei) performance and water quality dynamics in high tunnel-based biofloc systems,” Aquacultural Engineering, vol. 90, 2020.

M. Yazdani, C. Kahraman, P. Zarate, and S. C. Onar, “A Fuzzy multi attribute decision framework with integration of QFD and grey relational analysis,” Expert Systems with Applications, vol. 115, pp. 474–485, 2019.

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Published

2024-09-30
Abstract 260  .
PDF downloaded 90  .