Analysis and Development of Seawater Density Measurement Algorithms Using Arduino Uno and YL-69 Sensor

  • Miftahul Walid Universitas Islam Madura
  • Hozairi Universitas Islam Madura
  • Madukil Makruf Universitas Islam Madura
Keywords: Seawater Density, Salt Production, Microcontroller, Arduino Uno, YL-69

Abstract

In this research, an analysis was carried out to develop a measuring instrument for seawater density in salt production using a microcontroller (Arduino Uno) and YL-69 sensor, this sensor was commonly used to measure soil moisture. The experimental method was used in this research to produce initial data in the form of resistance and seawater density values, then calculations are carried out using statistical methods to find equations and produce a constant variable that connects the resistance and seawater density values. The equation was used to compile the algorithm into Arduino Uno. As for the results of this research,  From six experiments conducted, two experiments produced the same sea water density value between the actual and the predicted, namely the 2nd and 5th experiments, while for other experiments there was a difference between the actual and predicted values, however, it was not too significant, the difference occurs between the value range 0 ~ 1, to determine the level of error, use the Mean Square Error (MSE) with an error level of = 0.5 and Mean Absolute Error (MAE) with an error level of = 0.6. The contribution of this research is an algorithm that can predict the density value (baume) based on the resistance value obtained from the YL 69 sensor.

Downloads

Download data is not yet available.

References

S. T. Ardiyanti, Info Komoditi Garam, Ist ed. Jakarta, 2016.

T. R. Adi, A. Supangkat, B. Sulistyo, B. M. S, and H. Amrullah, Buku Pengembangan Usaha Terpadu Garam dan Artemia Pusat. Jakarta: Pusat Riset Laut dan Sumber daya Non Hayati, 2007.

G. F. Popa and B. Pantelimon, “Another method for measuring the density of the liquid in the volume comparator VC1005,” in 2013 - 8th International Symposium on Advanced Topics in Electrical Engineering, ATEE 2013, 2013, pp. 0–3, doi: 10.1109/ATEE.2013.6563370.

B. K. Roy and M. Ieee, “Measurement Using Ultrasonic Transducers,” in ICICES2014, 2014, no. 978, pp. 5–8.

R. Kazys et al., “Ultrasonic density measurement of polymer melts in extreme conditions,” in IEEE International Ultrasonics Symposium, IUS, 2013, no. September 2015, pp. 186–189, doi: 10.1109/ULTSYM.2013.0048.

A. G. Mardika and R. Kartadie, “Mengatur kelembaban tanah menggunakan sensor kelembaban tanah yl-69 berbasis arduino pada media tanam pohon gaharu,” JOEICT (Jurnal Educ. Inf. Commun. Technol., vol. 03, no. 02, pp. 130–140, 2019.

Gunawan and M. Sari, “Rancang Bangun Alat Penyiram Tanaman Otomatis Menggunakan Sensor Kelembaban Tanah,” J. Electr. Technol., vol. 3, no. 1, pp. 13–17, 2018.

G. Tarani, G. Shital, K. Sofiya, P. Gouri, and V. S.R, “Smart Drip Irrigation System,” Int. J. Trend Sci. Res. Dev., vol. Volume-2, no. Issue-4, pp. 1560–1565, 2018, doi: 10.31142/ijtsrd12888.

M. Walid, S. Hafiah, and B. Bakir, “Penerapan Wireless Sensor Networks (WSN) Untuk Sistem Pemantauan Sawah Tadah Hujan,” NJCA (Nusantara J. Comput. Its Appl., vol. 4, no. 2, p. 110, 2019, doi: 10.36564/njca.v4i2.149.

R. K. Kodali and A. Sahu, “An IoT Based Soil Moisture Monitoring on Losant Platform,” Int. Conf. Contemp. Comput. Informatics, pp. 764–768, 2016.

M. S. Kumar, T. R. Chandra, D. P. Kumar, and M. S. Manikandan, “Monitoring moisture of soil using low cost homemade Soil moisture sensor and Arduino UNO,” ICACCS 2016 - 3rd Int. Conf. Adv. Comput. Commun. Syst. Bringing to Table, Futur. Technol. from Arround Globe, pp. 4–7, 2016, doi: 10.1109/ICACCS.2016.7586312.

E. N. Prasetyo, “Prototype Penyiram Tanaman Persemaian Dengan Sensor Kelembaban Tanah Berbasis Arduino,” Universitas Muhammadiyah Surakarta, 2015.

A. W. Dani and Aldila, “Rancang Bangun Sistem Pengairan Tanaman Menggunakan Sensor Kelembaban Tanah,” J. Teknol. Elektro , Univ. Mercu Buana, vol. 8, no. 2, pp. 151–155, 2017.

P. Singh and S. Saikia, “Arduino-based smart irrigation using water flow sensor, soil moisture sensor, temperature sensor and ESP8266 WiFi module,” IEEE Reg. 10 Humanit. Technol. Conf. 2016, R10-HTC 2016 - Proc., 2017, doi: 10.1109/R10-HTC.2016.7906792.

A. N. Arvindan and D. Keerthika, “Experimental investigation of remote control via Android smart phone of arduino-based automated irrigation system using moisture sensor,” 2016 3rd Int. Conf. Electr. Energy Syst. ICEES 2016, pp. 168–175, 2016, doi: 10.1109/ICEES.2016.7510636.

O. E. Putra, “Application of Fuzzy Logic in Making Automatic Labeling Stamping,” SinkrOn, vol. 4, no. 1, pp. 155–163, 2019, doi: 10.33395/sinkron.v4i1.10166.

Published
2020-10-30
How to Cite
Miftahul Walid, Hozairi, & Madukil Makruf. (2020). Analysis and Development of Seawater Density Measurement Algorithms Using Arduino Uno and YL-69 Sensor . Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 4(5), 951-956. https://doi.org/10.29207/resti.v4i5.2430
Section
Artikel Teknologi Informasi