Upwelling Solution Prototype Using Wireless Sensor Network

  • Novian Anggis Suwastika Telkom University
  • Sidik Prabowo Telkom University
  • Bayu Erfianto Telkom University
Abstract views: 643 , PDF downloads: 413


One of the problems in the freshwater fisheries sector is the phenomenon of upwelling can occur anytime without warning signs, especially in lakes and lake. This problem causes a failed harvest and fish farming business owners suffered a great loss due to the death of fish in large numbers. Upwelling caused by toxic substances results increased nitrification from fish feces and remaining fish feed deposited at the bottom of the Lake and rises to the surface quickly. Ammonia (NH3) in the form of ionized causing no fish that are on the surface of the Lake is not enough oxygen to meet the needs of hemoglobin, so cannot bind oxygen or lack of dissolved oxygen (DO). The condition causes the death of the fish very much. This research built a monitoring system to monitor the condition of the temperature at the surface and at the underwater of the lake and to monitor DO levels to check the possibility of upwelling. Temperature sensor and DO sensor connect with microcontroller and . The results of experiment system on the area fish farms (karamba) and not the area fish farms, obtained the test results are accurate and real time.


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Author Biographies

Novian Anggis Suwastika, Telkom University
Fakultas Informatika
Sidik Prabowo, Telkom University
Fakultas Informatika
Bayu Erfianto, Telkom University
Fakultas Informatika


Bakker, D. C., Etcheto, J., Boutin, J., & Merlivat, L. (2001). Variability of surface water fCO2 during seasonal upwelling in the

equatorial Atlantic Ocean as observed by a drifting buoy. Journal of Geophysical Research: Oceans (1978–2012), 106(C5), 9241-9253

Bondarenko, O., Kininmonth, S., & Kingsford, M. (2007, December). Underwater sensor networks, oceanography and plankton

assemblages. In Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on (pp. 657-


Bondarenko, O., Kininmonth, S., & Kingsford, M. (2007, October). Coral reef sensor network deployment for collecting real time 3-D

temperature data with correlation to plankton assemblages. In Sensor Technologies and Applications, 2007. SensorComm 2007.

International Conference on (pp. 204-209). IEEE

El-Basioni, B. M. M., El-kader, S. M. A., & Abdelmonim, M. (2013). Smart home design using wireless sensor network and biometric

technologies. Information technology, 1, 2


TURBIDITY. In The Effects of Urbanization on Baird Creek, Green Bay, WI (Thesis). Retrieved from


Fondriest Environmental, Inc. (2014, November) “Dissolved Oxygen.” Fundamentals of Environmental Measurements. Web.

http://www.fondriest.com/environmental-measurements/parameters/water-quality/dissolved-oxygen/ >.

Gao, Q. (2006, November). Correlation of Total Suspended Solids (TSS) and Suspended Sediment Concentration (SSC) Test Methods. In

New Jersey Department of Environmental Protection Division of Science, Research, and Technology. Retrieved from


Langland, M., & Cronin, T. (Eds.). (2003). A Summary Report of Sediment Processes in Chesapeake Bay and Watershed. In Water

Resources Investigations Report 03-4123. New Cumberland, PA: U S Geological Survey. Retrieved from


Milenković, A., Otto, C., & Jovanov, E. (2006). Wireless sensor networks for personal health monitoring: Issues and an implementation.

Computer communications, 29(13), 2521-2533

Pollin, S., Ergen, M., Ergen, S., Bougard, B., Der Perre, L., Moerman, I., & Catthoor, F. (2008). Performance analysis of slotted carrier

sense IEEE 802.15. 4 medium access layer. Wireless Communications, IEEE Transactions on, 7(9), 3359-3371.).

Pompili, D., Melodia, T., & Akyildiz, I. F. (2006, September). Deployment analysis in underwater acoustic wireless sensor networks. In

Proceedings of the 1st ACM international workshop on Underwater networks (pp. 48-55). ACM

Puebla, O. (2009). Ecological speciation in marine v. freshwater fishes. Journal of Fish Biology, 75(5), 960-996

Quibell, G. (1992). Estimating chlorophyll concentrations using upwelling radiance from different freshwater algal genera. International

Journal of Remote Sensing, 13(14), 2611-2621.

Send, U., & Nam, S. (2012). Relaxation from upwelling: the effect on dissolved oxygen on the continental shelf. Journal of Geophysical

Research: Oceans, 117(C4).

Shaw, P. T., Chao, S. Y., Liu, K. K., Pai, S. C., & Liu, C. T. (1996). Winter upwelling off Luzon in the northeastern South China Sea.

Journal of Geophysical Research: Oceans (1978–2012), 101(C7), 16435-16448.

Shaw, P. T., Chao, S. Y., Liu, K. K., Pai, S. C., & Liu, C. T. (1996). Winter upwelling off Luzon in the northeastern South China Sea.

Journal of Geophysical Research: Oceans, 101(C7), 16435-16448.

Tseng, Y. F., Lin, J., Dai, M., & Kao, S. J. (2014). Joint effect of freshwater plume and coastal upwelling on phytoplankton growth off

the Changjiang River. Biogeosciences, 11(2), 409-423.

Umar, Chairul (2010) Kajian Kualitas Air Untuk Mendukung Perikanan Di Waduk Cirata. Web


Weeks, S. J., Pitcher, G. C., & Bernard, S. (2004). Satellite monitoring of the evolution of a coccolithophorid bloom in the southern

Benguela upwelling system. Oceanography, 17(1), 83-89

How to Cite
Suwastika, N. A., Prabowo, S., & Erfianto, B. (2017). Upwelling Solution Prototype Using Wireless Sensor Network. International Journal on Information and Communication Technology (IJoICT), 2(2), 37. https://doi.org/10.21108/IJOICT.2016.22.128
Embeded System