A Design and performance analysis of a telemetry system for remote monitoring of turbidity of water during the COVID-19 pandemic

Lilik Hasanah, Wahyu Luqmanul Hakim, Ahmad Aminudin, Siti Kudnie Sahari, Budi Mulyanti


A turbidity telemetry system for COVID-19 pandemic situations using nRF24L01+transceiver and SEN0189 water turbidity sensor-based microcontroller has been successfuly  developed.. The method used to characterize the sensor is by comparing sensor output voltages with the value of water turbidity. Turbid water used was created by adding distilled water with a concentration of sediment obtained from the filtered sediment with less than 60 μm in diameter. Data transmission performance for various transmit power was done by calculating the error percentages by comparing the number of messages sent by transmitter and received by receiver. The transmit power settings were 0, -6, -12, and 18 dBm and variations in the distance of data transmission from 10 to 80 m. The test results show that the water turbidity sensor has a good measurement range in measuring turbidity of water from 1.873 to 3500 NTU. Higher concentrations of sediment and turbidity of the water made the sensor output voltage decrease. There was a decrease in output voltage in the value, namely -0.0006 in turbidity sensor sensitivity. The results also show an increase in error percentages as the distance of data transmission increases, while the bigger the transmit power is used for data transmission, the smaller the percentage of errors occurs.


Telemetry, Water turbidity, Transmitter, Receiver, Arduino, Covid-19 pandemic.

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Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor net-works: a survey. Computer Networks, 38(4), 393-422.

Amruta, M. K., & Satish, M. T. (2013, March). Solar powered water quality monitoring sys-tem using wireless sensor network. In 2013 International Mutli-Conference on Auto-mation, Computing, Communication, Control and Compressed Sensing (iMac4s) (pp. 281-285). IEEE. https://ieeexplore.ieee.org/abstract/document/6526423, retrieved on March 7, 2020.

Rahmatullah, R. (2017). Hubungan kompetensi sosial dengan indeks prestasi akademik ma-hasiswa tahun pertama (Doctoral dissertation, Universitas Negeri Makassar).

D’Amico, W. P., Stadter, P. A., Lauss, M. H., & Hooper, A. (2002). Network telemetry: Practi-cal experiences and unique features. International Foundation for Telemetering. https://repository.arizona.edu/handle/10150/606321, retrieved on March 9, 2020.

Davies‐Colley, R. J., & Smith, D. G. (2001). Turbidity suspeni) ed sediment, and water clarity: A review 1. Journal of the American Water Resources Association, 37(5), 1085-1101.

Haq, M. N. & Zainuddin, A. (2017). Perancangan sistem repeater telemetri pada band 433 MHZ untuk apikasi scada. Dielektrika, 4(1), 10-16.

Hasanah, L., Yuwono, H., Aminudin, A., Suhendi, E., & Tayubi, Y. R. (2018). Multi-Hop Wire-less Sensor Network Performance and Energy Simulation. Pertanika Journal of Science & Technology, 26(1), 427-440.

Pule, M., Yahya, A., & Chuma, J. (2017). Wireless sensor networks: A survey on monitoring water quality. Journal of Applied Research and Technology, 15(6), 562-570.

Yogi, K. (2020). Studi penyisihan parameter kekeruhan air baku sungai batang arau dengan unit sedimentasi metode continuous discharges flow (CDF) (Doctoral dissertation, Uni-versitas Andalas).

DOI: https://doi.org/10.17509/ijost.v5i2.24705


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