Penerapan Quality Function Deployment (QFD) Pada Desain Smart Aquaculture Untuk Sektor Tambak Udang Vaname Berbasis IOT
Abstract
In entering the era of industry 4.0. where the internet world has the main role as a link to every device to collect and analyze data. Internet Of Things (IOT) technology can optimize previous technologies. In the fishing industry, Indonesia has the potential for fishery land in 2020 of 1,201,275 ha. The large area of water area in Indonesia has potential for aquaculture such as vannamei shrimp. Water quality such as pH, turbidity level and shrimp feeding schedule in ponds are closely related to shrimp health conditions. The existence of good water quality management can maintain water quality in order to increase pond productivity. Technology and information integration through paired IOT sensors will transmit data collected in the field to cloud computing via internet-based radio frequency networks through virtualization. This study aims to design a realtime IOT-based shrimp pond monitoring system. The Quality Function Deployment (QFD) method is a method that aims to plan and develop products according to needs and desires of consumers. This method begins with making a matrix of consumer needs and desires for the cultivation of Vaname Shrimp ponds. From this data a House of Quality matrix will be created which contains any technical interests needed. For the evaluation results of the questionnaire based on the analysis of the answers given by the respondents, the questionnaire that has been made can be used as a reference so that the proposed system design can be realized to overcome Vaname Shrimp ponds in order to improve the quality and quantity of vannamei shrimp harvest, cultivate effectively and efficiently, and facilitating the supervision of pond managers on pond water quality, feeding and feed availability.
Downloads
References
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, Jun. 2020, doi: 10.20319/mijst.2020.61.113137.
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, no. 4, pp. 49–56, Apr. 2021, doi: 10.14445/22315381/IJETT-V69I4P208.
S. L. Ullo and G. R. Sinha, “Advances in smart environment monitoring systems using iot and sensors,” Sensors (Switzerland), vol. 20, no. 11. MDPI AG, Jun. 01, 2020. doi: 10.3390/s20113113.
N. Setiawan and I. 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, Dec. 2020.
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. 37050–37058, 2019, doi: 10.1109/ACCESS.2019.2903720.
M. Abdullah et al., “Field Trial and Performance Evaluation of IoT Smart Aquaculture Monitoring System for Brackish Water Shrimp Farm,” 2021.
M. Yazdani, C. Kahraman, P. Zaraté, and S. Cevik Onar, “A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis. Expert Systems with Applications,” Expert Syst Appl, vol. 115, pp. 474–485, 2019, doi: 10.1016/j.eswa.2018.08.017ï.
M. District, st Zaryanti Zainuddin, nd Riswan Idris, and rd Asmawaty Azis Electrical Engiinering Electrical Engiinering Electrical Engiinering, “Water Quality Monitoring System for Vannamae Shrimp Cultivation Based on Wireless Sensor Network In Taipa,” 2019.
H. Asma Hassan et al., “Potential of using Internet of Things (IoT) for Water Quality Monitoring in aquaculture: a case study in freshwater catfish culture in Rawang, Selangor, Malaysia Potential of using Internet of Things (IoT) for Water Quality Monitoring in aquaculture: a case study in freshwater catfish culture in”, [Online]. Available: https://www.researchgate.net/publication/335290350
J. Wyban, W. A. Walsh, and D. M. Godin, “Temperature effects on growth, feeding rate and feed conversion of the Pacific white shrimp (Penaeus vannamei),” Aquaculture, vol. 138, no. 1–4, pp. 267–279, Dec. 1995, doi: 10.1016/0044-8486(95)00032-1.
M. Mansor, W. A. Wan Adnan, R. Abdul Wahid, and J. Hamid, “Step by Step Implementation of DSRM for Personalization of Reading,” International Journal of Humanities, Management and Social Science, vol. 4, no. 1, pp. 23–29, Jun. 2021, doi: 10.36079/lamintang.ij-humass-0401.212.
H. E. Putri, M. A. Wahyudy, A. Yuliyanto, and F. Nuraeni, “Development of instruments to measure mathematical anxiety of elementary school students,” International Journal of Learning, Teaching and Educational Research, vol. 19, no. 6, pp. 282–302, Jun. 2020, doi: 10.26803/IJLTER.19.6.17.
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. John Wiley and Sons Inc, pp. 1828–1843, Sep. 01, 2021. doi: 10.1111/raq.12546.
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 Organization Performance Improvement with Balanced Scorecards Method View project Strategy to Win the Competition by Developing Products and Services Using the QFD Method in Moldbase Manufacturing.” [Online]. Available: https://www.researchgate.net/publication/358479713
Y. Zhu et al., “Effects of sucrose addition on water quality and bacterioplankton community in the Pacific White Shrimp (Litopenaeus vannamei) culture system,” Aquac Res, vol. 52, no. 9, pp. 4184–4197, Sep. 2021, doi: 10.1111/are.15257.
I. J. Huang et al., “The Prototype of a smart underwater surveillance system for shrimp farming,” in Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018, Jan. 2019, pp. 177–180. doi: 10.1109/AMCON.2018.8614976.
I. Odun-Ayo, F. Anggono, and Sanjaya. Misra, “Cloud Computing Architecture: A Critical Analysis,” International Conference On Computational Science and Applications (ICCSA), vol. 18, pp. 1–7, Jul. 2018.
M. Abid Ali Khan, X. Lian, I. Khan Mirani, and L. Tan, “Research on Key Technologies of Electronic Shelf Labels Based on LoRa,” Journal on Big Data, vol. 3, no. 2, pp. 49–63, 2021, doi: 10.32604/jbd.2021.016213.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Quality Function Deployment (QFD) Pada Desain Smart Aquaculture Untuk Sektor Tambak Udang Vaname Berbasis IOT
Pages: 522-531
Copyright (c) 2023 Budi Setiawan, Nico Surantha

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).






















