Smart Sensor in Water Flow Monitoring Model using Microcontroller and Raspberry PI

 (*)Al-Khowarizmi Al-Khowarizmi Mail (Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia)
 Frainskoy Rio Naibaho (Institut Agama Kristen Negeri Tarutung, Tarutung, Indonesia)

(*) Corresponding Author

DOI: http://dx.doi.org/10.30865/ijics.v5i1.2904

Abstract

Water is the source of human, animal and plant life which can be said to be living things. However, the need for clean water in the world is increasing along with the growth in the number of living things in the world. The scarcity of clean water is often found due to the wasteful use of water by humans and dirty water due to waste generated by humans. Thus the technology in hardware and software midwives plays a very important role in overcoming water savings for the survival of living things in order to survive. We don't know the use of water that we usually use in a day directly. If we look at the water meter in our house we don't have a display of the cost of water usage and how much water we use in a day. Rapidly developing technology is able to overcome this problem by building a system for calculating the water flow rate and the application to display the cost of using water using a water flow sensor and making a display application that is a user interface so that it will make it easier for humans to run this system and make a smart system model using a method that is used as a user interface. old like the microcontroller and the technology that was developing raspberry pi.

Keywords


Water; Sensor; Monitoring; Microcontroller; Raspberry PI

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References

F. R. Naibaho, “Comparison between SAW and WASPAS Methods in Determining the Location of the Transit Warehouse of PT. TG,” J. Informatics Telecommun. Eng., vol. 4, no. 2, pp. 393–403, 2021, doi: 10.31289/jite.v4i2.4561.

M. Jia, A. Komeily, Y. Wang, and R. S. Srinivasan, “Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications,” Autom. Constr., vol. 101, pp. 111–126, 2019, doi: https://doi.org/10.1016/j.autcon.2019.01.023.

S. Suherman, F. Fahmi, M. Al-Akaidi, and Al-Khowarizmi, “UDP Checksum Field Usage for Sensor Data,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1003, no. 1, 2020, doi: 10.1088/1757-899X/1003/1/012086.

H. K. Kondaveeti, N. K. Kumaravelu, S. D. Vanambathina, S. E. Mathe, and S. Vappangi, “A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations,” Comput. Sci. Rev., vol. 40, p. 100364, 2021, doi: https://doi.org/10.1016/j.cosrev.2021.100364.

R. Hidayat, Rushendra, S. Afiyah, R. Sufyani, and F. Adani, “Development of Radio Frequency Identification (RFID) in the Campus Parking System based on Microcontroller,” J. Phys. Conf. Ser., vol. 1783, no. 1, p. 012022, 2021, doi: 10.1088/1742-6596/1783/1/012022.

L. Greco, P. Ritrovato, and F. Xhafa, “An edge-stream computing infrastructure for real-time analysis of wearable sensors data,” Futur. Gener. Comput. Syst., vol. 93, pp. 515–528, 2019, doi: https://doi.org/10.1016/j.future.2018.10.058.

A. R. Lubis, M. Lubis, Al-Khowarizmi, and D. Listriani, “Big Data Forecasting Applied Nearest Neighbor Method,” 2019, doi: 10.1109/ICSECC.2019.8907010.

D. Sidler, Z. Wang, M. Chiosa, A. Kulkarni, and G. Alonso, “StRoM,” pp. 1–16, 2020, doi: 10.1145/3342195.3387519.

M. Hidayatullah, J. Fat, and T. Andriani, “Prototype Sistem Telemetri Pemantauan Kualitas Air Pada Kolam Ikan Air Tawar Berbasis Mikrokontroler,” Positron, vol. 8, no. 2, p. 43, 2018, doi: 10.26418/positron.v8i2.27367.

Z. Budiarso, “Sistem Monitoring Tingkat Ketinggian Air Bendungan Bebasis Mikrokontroller,” J. Din. Inform., vol. 3, no. 1, 2011.

S. Bahri, “Prototype Monitoring Penggunaan dan Kualitas Air Berbasis Web Menggunakan Raspberry Pi,” J. Elektum, vol. 15, no. 2, pp. 42–50, 2018.

G. Gosavi, G. Gawde, and G. Gosavi, “Smart water flow monitoring and forecasting system,” RTEICT 2017 - 2nd IEEE Int. Conf. Recent Trends Electron. Inf. Commun. Technol. Proc., vol. 2018-Janua, pp. 1218–1222, 2017, doi: 10.1109/RTEICT.2017.8256792.

C. Huang, Y. Chen, S. Zhang, and J. Wu, “Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review,” Rev. Geophys., vol. 56, no. 2, pp. 333–360, 2018, doi: 10.1029/2018RG000598.

Y. Adelnia and A. Rezai, “A Novel Adder Circuit Design in Quantum-Dot Cellular Automata Technology,” Int. J. Theor. Phys., vol. 58, no. 1, pp. 184–200, 2019, doi: 10.1007/s10773-018-3922-0.

D. Liu, S. J. Hollis, and B. H. Stark, “A New Design Technique for Sub-Nanosecond Delay and 200 V/ns Power Supply Slew-Tolerant Floating Voltage Level Shifters for GaN SMPS,” IEEE Trans. Circuits Syst. I Regul. Pap., vol. 66, no. 3, pp. 1280–1290, 2019, doi: 10.1109/TCSI.2018.2878668.

S. C. Yener and R. Mutlu, “A microcontroller-based ECG signal generator design utilizing microcontroller PWM output and experimental ECG data,” in 2018 Electric Electronics, Computer Science, Biomedical Engineerings’ Meeting (EBBT), 2018, pp. 1–4, doi: 10.1109/EBBT.2018.8391465.

Y. Sun, L. Geng, and K. Dan, “Design of Smart Mirror Based on Raspberry Pi,” in 2018 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), 2018, pp. 77–80, doi: 10.1109/ICITBS.2018.00028.

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Copyright (c) 2021 Al-Khowarizmi, Frainskoy Rio Naibaho

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The IJICS (International Journal of Informatics and Computer Science)
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This work is licensed under a Creative Commons Attribution 4.0 International License.