Issue

2025: IN PRESS ISSUE (JUST ACCEPTED MANUSCRIPT, 2025)

Date Log

Submitted
September 12, 2025
Accepted
November 12, 2025
Published
November 27, 2025

Copyright (c) 2025 Jurnal Ilmiah Perikanan dan Kelautan

Creative Commons License

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

1. Copyright of the article is transferred to the journal, by the knowledge of the author, whilst the moral right of the publication belongs to the author.

2. The legal formal aspect of journal publication accessibility refers to Creative Commons Atribusi-Non Commercial-Share alike (CC BY-NC-SA),  (https://creativecommons.org/licenses/by-nc-sa/4.0/)

3. The articles published in the journal are open access and can be used for non-commercial purposes. Other than the aims mentioned above, the editorial board is not responsible for copyright violation

 

The manuscript authentic and copyright statement submission can be downloaded ON THIS FORM. 

Aquaculture Fish Health Management Aquatic Diversity and Abundance

Smart Automation of Salinity and Turbidity for Sustainable Aquaculture of Harpodon nehereus

Abdul Muis Prasetia
Borneo University, Tarakan, North Kalimantan, 77123. Indonesia
https://orcid.org/0000-0001-9920-1088
Gazali Salim
Borneo University, Tarakan, North Kalimantan, 77123. Indonesia
https://orcid.org/0000-0002-2416-905X
Linda Sartika
Borneo University, Tarakan, North Kalimantan, 77123. Indonesia
https://orcid.org/0000-0002-4921-8612
Mujiyanto Mujiyanto
Department research Research Centre for Biota Systems, National Research and Innovation Agency, Cibinong Bogor, West Java, 16911. Indonesia
https://orcid.org/0000-0002-1657-0425
Julian Ransangan
Borneo Marine Research Institute, University Malaysia Sabah, Locked Bag 2073, Kota Kinabalu Sabah, 88999, Malaysia
https://orcid.org/0000-0002-1369-3024
Ariel E San Jose
Southern Philippines Agribusiness and Marine and Aquatic School of Technology, Malita, 8012, Philippines
https://orcid.org/0000-0002-3117-7728
Sitti Hartinah
Universitas Pancasakti Tegal, Tegal 52121, Central Java, Indonesia
https://orcid.org/0000-0002-0089-2040
Retno Hartati
Department of Marine Science, Faculty of Fisheries and Marine Science, Diponegoro University, Semarang, 50275. Indonesia
https://orcid.org/0000-0002-3131-5166
Rozi
Department of Aquaculture, Faculty of Fisheries and Marine, Airlangga University, Surabaya 60115, Indonesia
https://orcid.org/0000-0003-4117-1335

Corresponding Author(s) : Abdul Muis Prasetia

prasetia.electric@gmail.com

Jurnal Ilmiah Perikanan dan Kelautan, 2025: IN PRESS ISSUE (JUST ACCEPTED MANUSCRIPT, 2025)

Abstract

Graphical Abstract



 


Highlight Research


1. Model of growth and mortality of otek fish (Netuma thalassina (Rüppell, 1837)) in Tarakan waters, North Kalimantan.


2. Growth, mortality, and reproductive model of Bombay duck (Harpodon nehereus, Hamilton 1822) in Juata Laut waters, North Kalimantan.


3. Growth pattern and the condition index of nomei fish Harpodon nehereus captured with mini trawl in Tarakan Waters.


4. Characteristics of Model Growth and Mortality of White Shrimp (Penaeus merguiensis de Man 1888) in The Estuaria of Bengara, Regency Bulungan.


5. Preliminary study on the domestication of giant freshwater prawn, Macrobrachium rosenbergii (De Man, 1879) from North Kalimantan, Indonesia.


 


Abstract


Automated water quality monitoring systems are urgently needed to ensure fish health and maintain aquaculture product quality. This study develops an adaptive microcontroller-based control system that automatically regulates salinity and turbidity to support the sustainable aquaculture of Harpodon nehereus. This study developed and evaluated a microcontroller-based system for automated regulation of salinity and turbidity in H. nehereus aquaculture ponds. Methods involved environmental observation, sensor calibration, system design, and field validation of a digital sensor-based water quality controller, tested in a pilot estuarine pond to keep salinity (~17‰) and turbidity (20-30 NTU) within optimal ranges. Calibration results obtained through linear regression analysis showed strong correlation with standard instruments (R² = 0.94 for salinity and R² = 0.93 for turbidity). Field trials demonstrated effective maintenance of turbidity within 22-27 NTU for 24 hours, and stepwise tests confirmed the system’s ability to track real-time salinity shifts. These results indicate that the microcontroller-based system effectively stabilises key water parameters for H.nehereus aquaculture and performs more efficiently than open systems. As one of the first integrated systems designed for automated salinity and turbidity regulation in estuarine aquaculture, it offers a practical and scalable approach to improve sustainability and ensure the food security of coastal fisheries. Future work should extend control to pH, DO, and temperature, refine calibration with predictive algorithms and wireless connectivity so that it can be used more widely in precision aquaculture with fish stocks.


 


 


 

Keywords

automated controldomesticationmicrocontroller-based systemturbiditysalinity
Prasetia, A. M. ., Gazali Salim, Linda Sartika, Mujiyanto Mujiyanto, Julian Ransangan, Ariel E San Jose, Sitti Hartinah, Retno Hartati, & Rozi. (2025). Smart Automation of Salinity and Turbidity for Sustainable Aquaculture of Harpodon nehereus. Jurnal Ilmiah Perikanan Dan Kelautan. Retrieved from https://e-journal.unair.ac.id/JIPK/article/view/78793
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
References
  1. Ahmad, R., Cho, E., Rakhmat, S., Hyun, M., Park, C. B., & Kim, S. (2023). Characterization of structure isomers of ethylbenzalkyl dimethyl ammonium chlorides and quantification in commercial household disinfectant products. Environmental Technology & Innovation, 29(1):1-9.
  2. Amini, B. (2015). Agamenon R. E. Oliveira, A history of the work concept: From physics to economics (New York and London: Springer, 2014). Advances in Historical Studies, 4(4):336-337.
  3. APHA (American Public Health Association). (2017). Standard methods for the examination of water and wastewater (23rd ed.). American Public Health Association.
  4. Ariana, S., Paramithya, N., Pasmawati, Y., Triando, F., Ariandi, M., Dinata, N. F. P., Anwar, A., Helmi, S., & Sartika, D. (2023). Utilization of internet of things (IoT) based technology in fish farming: Automatic fish feeder. Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat, 3(4):524-530.
  5. Badura, M., Batog, P., Drzeniecka-Osiadacz, A., & Modzel, P. (2019). Regression methods in the calibration of low-cost sensors for ambient particulate matter measurements. SN Applied Sciences, 1(1):1-11.
  6. Bahtiar, A., Supeno, B., & Negara, M. A. P. (2016). Design and development of temperature and turbidity controller for patin fishpond based on fuzzy logic. Jurnal Arus Elektro Indonesia, 2(3):7-12.
  7. Beena, V., & Moinuddin, K. (2015). Water quality measurement and control from remote station for pisiculture using NI myRIO. International Journal of Innovative Research in Electronics and Communications, 2(4):16-21.
  8. Bhatnagar, A., & Devi, P. (2013). Water quality guidelines for the management of pond fish culture. International Journal of Environmental Sciences, 5(2):1980-1986.
  9. Biazi, V., & Marques, C. (2023). Industry 4.0-based smart systems in aquaculture: A comprehensive review. Aquacultural Engineering, 103(4):1-16.
  10. Bilba, K., Potiron, C. O., & Arsene, M. A. (2023). Invasive biomass algae valorizatioon: Assessment of the viability of Sargassum seaweed as pozzolanic material. Journal of Environmental Management, 342(20):1-11.
  11. Boonsong, W., Ismail, W., Shinohara, N., Nameh, S. M. I. S., Alifah, S., Kamaludin, K. H., & Anwar, T. (2020). Real-time water quality monitoring of aquaculture pond using wireless sensor network and internet of things. Journal of Theoretical and Applied Information Technology, 98(22):3573-3582.
  12. Bosona, T., & Gebresenbet, G. (2021). Multipurpose simulation model for pasture-based mobile automated milking and marketing system, part-I: Pasture, milk yield, and milk marketing characteristics. Computers and Electronics in Agriculture, 190(11):1-15.
  13. Boyd, C. E., & Tucker, C. S. (2012). Pond aquaculture water quality management. Springer. 700pp.
  14. Cai, X., Wen, J., Long, H., Ren, W., Zhang, X., Huang, A., & Xie, Z. (2022). The probiotic effects, dose, and duration of lactic acid bacteria on disease resistance in Litopenaeus vannamei. Aquaculture Reports, 26(5):1-9.
  15. Chan, K., Schillereff, D. N., Baas, A. C. W., Chadwick, M. A., Main, B., Mulligan, M., O’Shea, F. T., Pearce, R., Smith, T. E. L., van Soesbergen, A., Tebbs, E., & Thompson, J. (2021). Low-cost electronic sensors for environmental research: Pitfalls and opportunities. Progress in Physical Geography: Earth and Environment, 45(3):305-338.
  16. Dahril, I., Tang, U. M., & Putra, I. (2017). The effect of different salinities on the growth and survival of red tilapia (Oreochromis sp.) Seeds. Berkala Perikanan Terubuk, 45(3):67-75.
  17. Dong, J., Goodman, N., Carre, A., & Rajagopalan, P. (2025). Calibration and validation-based assessment of low-cost air quality sensors. Science of The Total Environment, 977(20):1-15.
  18. Ende, S., Henjes, J., Spiller, M., Elshobary, M., Hanelt, D., & Abomohra, A. (2024). Recent advances in recirculating aquaculture systems and role of microalgae to close system loop. Bioresource Technology, 407(18):1-18.
  19. Fay, C. D., & Nattestad, A. (2022). Advances in optical-based turbidity sensing using LED photometry (PEDD). Sensors, 22(1):1-13.
  20. Firdaus, A. N., Hakim, M. R., & Ilham, T. (2023). Development of water quality checker for coastal aquaculture ponds (case study: Pangandaran coastal aquaculture ponds). Insologi: Jurnal Sains dan Teknologi, 2(2):369-377.
  21. Firdaus, M., Salim, G., Maradhy, E., Abdiani, I. M., & Syahrun, S. (2013). Analysis of growth and age structure of nomei fish (Harpadon Nehereus) in Juata Waters, Tarakan City. Jurnal Akuatika Indonesia, 4(2):1-15.
  22. Folawewo, A. D., & Bala, M. D. (2022). Carbon-covered alumina-supported ZnO nanocatalysts with enhanced visible light photocatalytic performance for the removal of dyes. Environmental Technology & Innovation, 28(4):1-17.
  23. Greensword, M., & Malone, R. F. (2023). Waste characterization and biofilter sizing criteria for oligotrophic RAS egg incubators. Aquacultural Engineering, 102(3):1-6.
  24. Hal, A. M., & El-Barbary, M. I. (2020). Gene expression and histopathological changes of nile tilapia (Oreochromis niloticus) infected with Aeromonas hydrophila and Pseudomonas fluorescens. Aquaculture, 526(13):1-6.
  25. Hapsari, M. A., Suswoto, & Ariyani, N. (2024). Public trust doctrine in Indonesia: Expectation and prospect. IOP Conference Series: Earth and Environmental Science, 1030(1):1-9.
  26. Hasni, M. H., Ahmad, F. B., & Athoillah, A. Z. (2023). The production of microbial biodiesel from cellulose-derived fungal lipid via consolidated bioprocessing. Environmental Technology & Innovation, 30(2):1-10.
  27. Hemal, M. M., Rahman, A., Nurjahan, Islam, F., Ahmed, S., Kaiser, M. S., & Ahmed, M. R. (2024). An integrated smart pond water quality monitoring and fish farming recommendation aquabot system. Sensors, 24(11):1-22.
  28. Herlina, A., Ardiansah, M. S., Fadilah, & R., Alif, S., & Putra, S. A. H. M. (2024). IoT-based catfish pond water quality monitoring system with hybrid power system. Jurnal Rekayasa Elektro Sriwijaya, 6(1):33-45.
  29. Ho, K. Y., Tsai, Y. J., & Kuo, Y. F. (2021). Automatic monitoring of lactation frequency of sows and movement quantification of newborn piglets in farrowing houses using convolutional neural networks. Computers and Electronics in Agriculture, 189(10):1-13.
  30. Huong, L. Q., Thuy, N. T. B., Anh, N. T. L., Thuy, D. T. T., Thanh, D. T. H., & Padungtod, P. (2021). Antibiotics use in fish and shrimp farms in Vietnam. Aquaculture Reports, 20(2):1-8.
  31. Huang, X. H., Liu, H. Y., Hu, Y., Yuan, T. P., Tao, Q. Y., Wang, S. M., & Liu, Z. X. (2020). Hydrodynamic performance of a semi-submersible offshore fish farm with a single point mooring system in pure waves and current. Aquacultural Engineering, 90(3):1-9.
  32. Hyun, S., Park, J. Y., Kim, J., Fleisher, D. H., & Kim, K. S. (2022). GLUEOS: A high-performance computing system based on the orchestration of containers for the glue parameter calibration of a crop growth model. Computers and Electronics in Agriculture, 197(6):1-11.
  33. Iskandar, H. R., Hermadani, Saputra, D. I., & Yuliana, H. (2019). Experimental turbidity test based on internet of things using DFRobot SEN0189 sensor and MQTT cloud server. Prosiding Seminar Nasional Sains dan Teknologi, 1-9.
  34. Kairbekov, K., Sarsenov, D., & Kairbekova, Z. (2024) Design and implementation of a low-cost water quality monitoring system for aquaculture in Indonesia. The International Conferences on Engineering Sciences, 1(1):20-26.
  35. Knysh, A., Drach, A., Fredriksson, D., Dewhurst, T., & Tsukrov, I. (2022). Methodology for multidimensional approximation of current velocity fields around offshore aquaculture installations. Aquacultural Engineering, 99(4):1-11.
  36. Kok, C. L., Kusuma, I. M. B. P., Koh, Y. Y., Tang, H., & Lim, A. B. (2024). Smart aquaponics: An automated water quality management system for sustainable urban agriculture. Electronics, 13(5):1-19.
  37. Kong, C., Luo, Y., Xu, Q., Zhang, B., Gao, X., Wang, X., Lou, Z., Lou, Z., Li, L., & Gong, X. (2025). Post-fishing ban period: The fish diversity and community structure in the Poyang Lake Basin, Jiangxi Province, China. Animals, 15(3):1-20.
  38. Kong, M., Li, H., Liang, Y., Cheng, K., Zhou, X., Song, X., Yang, Z., Xu, J., & Zhao, L. (2023). Multi-stimuli responsive bilayer film based on clay and graphene derivative for flexible and smart devices. Sensors and Actuators B. Chemical, 380(8):1-10.
  39. Kulkarni, R., Qazizadeh, A., & Berg, M. (2023). Unsupervised rail vehicle running instability detection algorithm for passenger trains (iVRIDA). Measurement, 216(11):1-23.
  40. Kumar, G., & Engle, C. R. (2016). Technological advances that led to growth of shrimp, salmon, and tilapia aquaculture. Reviews in Fisheries Science & Aquaculture, 24(2):136-152.
  41. Lakshmikantha, V., Hiriyannagowda, A., Manjunath, A., Patted, A., Basavaiah, J., & Anthony, A. A. (2021). IoT based smart water quality monitoring system. Global Transitions Proceedings, 2(2):181-186.
  42. Leite, D. S., Assis, R. C., Domingues, J. T., Carvalho, P. L. G., Castro, M. C. M., Cruz, G. H., Silva, I. C. G., & Rodrigues, G. D. (2021). Selective recovery of zinc from mining sulfuric liquor employing aqueous two-phase systems. Journal of Water Process Engineering, 42(4):1-8.
  43. Li, H. C., Yu, K. W., Lien, C. H., Lin, C., Yu, C. R., & Vaidyanathan, S. (2023). Improving aquaculture water quality using dual-input fuzzy logic control for ammonia nitrogen management. Journal of Marine Science and Engineering, 11(6):1-22.
  44. Li, X., Wu, Y., Wei, H., Ray, G. W., Yang, Q., & Tan, B. (2022). Combined application of glycerol monolaurate and tributyrin improves the growth performance, antioxidant capacity, nonspecific immunity, gene expression and intestinal health of juvenile Litopenaeus vannamei. Aquaculture Reports, 24(3):1-9.
  45. Li, Y., Gao, C., Chen, J., Wang, Q., & Zhao, J. (2024). Spatial–temporal distribution characteristics of Harpadon nehereus in the Yangtze River Estuary and its relationship with environmental factors. Frontiers in Marine Science, 11(1):1-10.
  46. Lindholm‐Lehto, P. (2023). Water quality monitoring in recirculating aquaculture systems. Aquaculture, Fish and Fisheries, 3(2):113-131.
  47. López-Rebollar, B. M., García-Pulido, D., Diaz-Delgado, C., Gallego-Alarcón, I., García-Aragón, J. A., & Tapia-Salinas, H. (2023). Sedimentation efficiency evaluation of an aquaculture tank through experimental floc characterization and CFD simulation. Aquacultural Engineering, 102(3):1-17.
  48. Mahiyat, S. F., Islam, M. J., Bapary, M. A. J., Hussain, M. A., & Hossain, M. M. (2024). Microbiological quality of dried bombay duck (Harpodon Nehereus) samples obtained from North-Eastern Bangladesh (Sylhet District): Microbiological quality of dried bombay duck. Journal of the Asiatic Society of Bangladesh, Science, 50(2):101-111.
  49. Mhatre, A. N., Dalavi, P. D., Patange, S. B., Ranveer, R. C., Swami, S. B., & Vartak, V. R. (2025). Preparation of ready-to-cook fish balls from bombay duck fish meat stored in chilled storage. International Journal of Advanced Biochemistry Research, 9(4):343-349.
  50. Nagamora, J. A., Sagun, L. R. S., Vertudes, R., Balangao, J. K. B., & Abdullah, A. H. S. (2022). Design and implementation of water quality control and monitoring devices in a small-scale aquaculture system. International Journal of Biosciences, 21(6):91-105.
  51. Nakangu, N. F., Masese, F. O., Barasa, J. E., Matolla, G. K., Riziki, J. W., & Mbalassa, M. (2023). Influence of the changing environment on food composition and condition factor in Labeo victorianus (Boulenger, 1901) in rivers of Lake Victoria Basin, Kenya. Aquaculture and Fisheries, 8(2):227-238.
  52. Nalakurthi, N. V. S. R., Abimbola, I., Ahmed, T., Anton, I., Riaz, K., Ibrahim, Q., Banerjee, A., Tiwari, A., & Gharbia, S. (2024). Challenges and opportunities in calibrating low-cost environmental sensors. Sensors, 24(11):1-22.
  53. Narayana, M. V., Jalihal, D., & Nagendra, S. M. S. (2023). EEATC: A novel calibration approach for low-cost sensors. IEEE Sensors Journal, 23(19):23500-23511.
  54. Nawaz, R., Kait, C. F., Chia, H. Y., Isa, M. H., Huei, L. W., Sahrin, N. T., & Khan, N. (2021). Countering major challenges confronting photocatalytic technology for the remediation of treated palm oil mill effluent: A review. Environmental Technology & Innovation, 23(3):1-41.
  55. Naz, M., Benavides-Mendoza, A., Tariq, M., Zhou, J., Wang, J., Qi, S., Dai, Z., & Du, D. (2022). CRISPR/Cas9 technology as an innovative approach to enhancing the phytoremediation: Concepts and implications. Journal of Environmental Management, 323(24):1-9.
  56. Nurasmi, N., Manalu, W., Adnyane, I. K. M., & Andriyanto, A. (2025). Nutrient analysis of the Harpodon nehereus as a basic ingredient for the nutritional supplementation of pregnant mothers and children. Food Research, 9(3):129-140.
  57. Odevci, B. B., Emsen, E., & Aydin, M. N. (2021). Machine learning algorithms for lamb survival. Computers and Electronics in Agriculture, 182(3):1-7.
  58. Parkhey, S., & Jadhav, U. (2025). Nutritional profiling of bombay duck (Harpadon nehereus) of Mumbai Sea coast, Maharashtra, India. International Journal of Fisheries and Aquatic Studies, 13(2):137-141.
  59. Parra, L., Sendra, S., García, L., & Lloret, J. (2018). Design and deployment of low-cost sensors for monitoring the water quality and fish behavior in aquaculture tanks during the feeding process. Sensors, 18(3):1-23.
  60. Pathak, H., Igathinathane, C., Zhang, Z., Archer, D., & Hendrickson, J. (2022). A review of unmanned aerial vehicle-based methods for plant stand count evaluation in row crops. Computers and Electronics in Agriculture, 198(7):1-11.
  61. Pimentel, O. A. L. F., Amado, A. M., & They, N. H. (2023). Biofloc colors as an assessment tool for water quality in shrimp farming with BFT systems. Aquacultural Engineering, 101(2):1-8.
  62. Pradini, U. R., Feliatra, F., Effendi, I., Warningsih, T., Soekarno, A. A., & Feliatra, P. A. (2024). Maximum sustainable yield of bombay-duck (Harpadon nehereus) in the waters of Dumai City, Riau Province. AACL Bioflux, 17(5):1-14.
  63. Purbani, D., Mujiyanto, M., Wisha, U. J., Salim, H. L., Wijaya, D., & Sugianti, Y. (2024). Oceanographic analysis for optimal lobster artificial reef placement in Prigi Bay, East Java. BIO Web of Conferences, 134(1):1-13.
  64. Qi, S., Duan, N., Sun, Y., Zhou, Y., Ma, P., Wu, S., & Wang, Z. (2021). High-affinity aptamer of allergen β-lactoglobulin: Selection, recognition mechanism and application. Sensors and Actuators B: Chemical, 340(15):1-10.
  65. Rahman, M. F. A., Samah, A. H. A., Ahmad, K. A., Boudville, R., & Yahaya, S. Z. (2018). Performance evaluation of LED based sensor for water turbidity measurement. 12th International Conference on Sensing Technology (ICST). IEEE, pp 20-40.
  66. Ramkumar, G., Kasat, K., Khader, R. A., Muhammed, N., Raghu, T., & Chhabra, S. (2022). Quality enhanced framework through integration of blockchain with supply chain management. Measurement: Sensors, 24(5):1-6.
  67. Rosman, N., Salleh, W. N. W., Jamalludin, M. R., Adam, M. R., Ismail, N. H., Jaafar, J., Harun, Z., & Ismail, A. F. (2021). Electrospinning parameters evaluation of PVDF-ZnO/Ag2CO3/Ag2O composite nanofiber affect on porosity by using response surface methodology. Materials Today: Proceedings, 46(64):1824-1830.
  68. Safira, M., Yusuf, A., Salim, T. I., & Alam, H. S. (2023). Design and implementation of iot-based monitoring system on nanobubble-based hydroponics farming. Jurnal Teknik Pertanian Lampung, 12(2):470-483.
  69. Salim, G., Mujiyanto, M., Sugianti, Y., Suryanti, S., Zahidah, Z., Nawir, D., Hartinah, S., Nurjanah, N., Dewi, R., Iranda, R., Arief, M. C. W., Putri, M. R. A., Rahman, A., Indarjo, A., Ransangan, J., Jose, A. E. S., & Rozi, R. (2024). Growth and mortality models of mozambique tilapia (Oreochromis mossambicus; Peters, 1852) wildly enter inside the fish farming ponds in Tarakan City, North Kalimantan. Jurnal Ilmiah Perikanan dan Kelautan, 16(2):422-437.
  70. Salim, G., Rukisah, R., Firdaus, M., Toha, T., Awaludin, A., Prasetia, A. M., & Nugraeni, C. D. (2022). Processing nomei fish (Harpodon nehereus) into nuggets in Juata Laut, Tarakan City. Jompa Abdi Journal Pengabdian Masyarakat, 1(3):126-136.
  71. Sánchez, E., Zabaleta, R., Fabani, M. P., Rodriguez, R., & Mazza, G. (2022). Effects of the amendment with almond shell, bio-waste and almond shell-based biochar on the quality of saline-alkali soils. Journal of Environmental Management, 318(19):1-10.
  72. Shi, W., Fan, F., Li, S., Zhang, Z., Liu, H., Wang, X., & Chang, S. (2022). Terahertz immunosensing assisted by functionalized Au NPs based on all-dielectric metasurface. Sensors and Actuators B: Chemical, 362(14):1-10.
  73. Silva, L. C. B., Lopes, B., Pontes, M. J., Blanquet, I., Segatto, M. E. V., & Marques, C. (2021). Fast decision-making tool for monitoring recirculation aquaculture systems based on a multivariate statistical analysis. Aquaculture, 530(1):1-6.
  74. Simbeye, D. S., Zhao, J., & Yang, S. (2014). Design and deployment of wireless sensor networks for aquaculture monitoring and control based on virtual instruments. Computers and Electronics in Agriculture, 102(3):31-42.
  75. Smith, M. T., Ross, M., Ssematimba, J., Álvarez, M. A., Bainomugisha, E., & Wilkinson, R. (2023). Modelling calibration uncertainty in networks of environmental sensors. Journal of the Royal Statistical Society Series C: Applied Statistics, 72(5):1187-1209.
  76. Sreenivasulu, G., Madakka, M., Rajasekhar, C., Lakshmanna, B., & Jayaraju, N. (2023). Protein 3D structure of benthic foraminifera (Ammonia dentata), parts of east coast of India: A potential proxy for detecting marine pollution? Environmental Technology & Innovation, 29(1):1-11.
  77. Stelling, J. M., Slesak, R. A., Windmuller-Campione, M. A., & Grinde, A. (2023). Effects of stand age, tree species, and climate on water table fluctuations and estimated evapotranspiration in managed peatland forests. Journal of Environmental Management, 339(17):1-12.
  78. Suárez-Cáceres, G. P., Lobillo-Eguíbar, J., Fernández-Cabanás, V. M., Quevedo-Ruiz, F. J., & Pérez-Urrestarazu, L. (2021). Polyculture production of vegetables and red hybrid tilapia for self-consumption by means of micro-scale aquaponic systems. Aquacultural Engineering, 95(4):1-11.
  79. Sugianti, Y., Mujiyanto, M., Rahayu, R., & Budikusuma, R. A. (2021). Oceanographic conditions in HMAS perth maritime conservation area, Serang Regency, Banten Province. IOP Conference Series: Earth and Environmental Science, 860(1):1-11.
  80. Suhadi, S., Atika, P. D., Sugiyatno, S., Panogari, A., Handayanto, R. T., & Herlawati, H. (2020, November). Mobile-based fish quality detection system using k-nearest neighbors method. 2020 Fifth International Conference on Informatics and Computing (ICIC), IEEE, 1-5.
  81. Sung, W. T., Isa, I. G. T., & Hsiao, S. J. (2024). Integrated Aquaculture monitoring system using combined wireless sensor networks and deep reinforcement learning. Sensors and Materials, 36(3):1019-1033.
  82. Tamzi, N. N., Rozee, F. F., Sultana, T., Faisal, M., Khan, M. N. A., & Ghosh, S. K. (2024). Quality evaluation of improved and traditionally dried bombay duck (Harpodon nehereus) through biochemical, microbiological, and organoleptic analysis. Heliyon, 10(5):1-12.
  83. Tolentino, L. K. S., De Pedro, C. P., Icamina, J. D., Navarro, J. B. E., Salvacion, L. J. D., Sobrevilla, G. C. D., Villanueva, A. A., Amado, T. M., Padilla, M. V. C., & Madrigal, G. A. M. (2020). Development of an IoT-based intensive aquaculture monitoring system with automatic water correction. International Jornal of Computing and Digital Systems, 10(1):1355-1365.
  84. Tsipianitis, D., Filippou, M., Lavidas, K., & Komis, V. (2025). Real-time monitoring of iot-based educational aquatic microecosystem, Procedia Computer Science, 257(6):801-808.
  85. tuz Zohora, S., Shimul, S. A., Rana, S., Sarkar, A., Milky, S. N. A. M., Marma, K. K. U., Monir, K. M. S., Azim, F., Chakraborty, T. K., & Al Nahid, S. A. (2024). Microplastic in the gastrointestinal tract of bombay duck (Harpadon nehereus) in the Patenga Beach of the Bay of Bengal, Bangladesh: Occurrence, abundance, and physicochemical features. Journal of Ecology and Environment, 48(40):1-11.
  86. van den Bogaart, L. A., Schotanus, J., Capelle, J. J., & Bouma, T. J. (2023). Comparing traditional vs. biodegradable seed mussel collectors (SMCs) for seed settlement, seed density, and seed growth: Effect of deployment depth and location. Aquacultural engineering, 102(3):1-12.
  87. Wang, M., Shi, B., Catsamas, S., Kolotelo, P., & McCarthy, D. (2024). A compact, low-cost, and low-power turbidity sensor for continuous in situ stormwater monitoring. Sensors, 24(12):1-23.
  88. Washikur, M. R., Al Masud, M. A., Uddin, H. A., Mohona, M. M., Akhter, S., & Hossain, M. N. (2025). Optimization of DNA extraction methods for reliable RAPD-PCR analysis in Harpadon nehereus (Hamilton, 1822) from the Bay of Bengal: A comparative study for fisheries genetic management. Journal Microbiology and Biotechnology, 5(3):34-49.
  89. Wells, N. S., Gooddy, D. C., Reshid, M. Y., Williams, P. J., Smith, A. C., & Eyre, B. D. (2022). δ18O as a tracer of PO3−/4 losses from agricultural landscapes. Journal of Environmental Management, 317(18):1-9.
  90. Xiao, R., Wang, G., Chen, Z., Ye, Z., Zhu, S., Ding, X., Zhou, F., Guo, J., & Zhao, J. (2022). Effects of flow velocity on water quality and ammonia excretion in recirculating aquaculture system culturing juvenile largemouth bass (Micropterus salmoides). International Journal of Agricultural and Biological Engineering, 15(5):213-218.
  91. Yang, H., Feng, Q., Xia, S., Wu, Z., & Zhang, Y. (2025). AI-driven aquaculture: A review of technological innovations and their sustainable impacts. Artificial Intelligence in Agriculture, 15(3):508-525.
  92. Zheng, Y. L., Li, X. C., Tang, W., Xie, L., Dai, F., & Zhou, B. (2022). A coumarin-based fluorescent probe: Small but multi-signal. Sensors and Actuators B: Chemical, 368(20):1-11.
  93. Zhong, Y., Wang, J., Han, L., Dai, S., Zhu, H., Hua, J., Cheng, G., & Ding, J. (2023). High-performance flexible self-powered triboelectric pressure sensor based on chemically modified micropatterned PDMS film. Sensors & Actuators A: Physical, 349(1):1-10.
Read More

Author Biographies

Abdul Muis Prasetia, Borneo University, Tarakan, North Kalimantan, 77123. Indonesia

Borneo University, Tarakan, North Kalimantan, 77123. Indonesia

Gazali Salim, Borneo University, Tarakan, North Kalimantan, 77123. Indonesia

Borneo University, Tarakan, North Kalimantan, 77123. Indonesia

Linda Sartika, Borneo University, Tarakan, North Kalimantan, 77123. Indonesia

Borneo University, Tarakan, North Kalimantan, 77123. Indonesia

Mujiyanto Mujiyanto, Department research Research Centre for Biota Systems, National Research and Innovation Agency, Cibinong Bogor, West Java, 16911. Indonesia

Department research Research Centre for Biota Systems, National Research and Innovation Agency, Cibinong Bogor, West Java, 16911. Indonesia

Julian Ransangan, Borneo Marine Research Institute, University Malaysia Sabah, Locked Bag 2073, Kota Kinabalu Sabah, 88999, Malaysia

Borneo Marine Research Institute, University Malaysia Sabah, Locked Bag 2073, Kota Kinabalu Sabah, 88999, Malaysia

Ariel E San Jose, Southern Philippines Agribusiness and Marine and Aquatic School of Technology, Malita, 8012, Philippines

Southern Philippines Agribusiness and Marine and Aquatic School of Technology, Malita, 8012, Philippines

Sitti Hartinah, Universitas Pancasakti Tegal, Tegal 52121, Central Java, Indonesia

Universitas Pancasakti Tegal, Tegal 52121, Central Java, Indonesia

Retno Hartati, Department of Marine Science, Faculty of Fisheries and Marine Science, Diponegoro University, Semarang, 50275. Indonesia

Department of Marine Science, Faculty of Fisheries and Marine Science, Diponegoro University, Semarang, 50275. Indonesia

Rozi, Department of Aquaculture, Faculty of Fisheries and Marine, Airlangga University, Surabaya 60115, Indonesia

Department of Aquaculture, Faculty of Fisheries and Marine, Airlangga University, Surabaya 60115, Indonesia

Download this PDF file
Altmetric Badge
Trend MD
Statistic
Read Counter : 0

Downloads

Download data is not yet available.

Most read articles by the same author(s)

1 2 > >>