Performance Evaluation of River Water Quality Monitoring Using Lora Connectivity with Fuzzy Algorithm

  • Doan Perdana Telkom University
  • Julian Naufal Telkom University
  • Ibnu Alinursafa Telkom DDS

Abstract

This study was proposed a river water quality monitoring application, connected by sensors such as pH, turbidity and Total Dissolved Solids (TDS) sensor to measure acidity, turbidity levels and amount of dissolved solids, respectively, as well as reduce bad effect of polluted river water. This river water quality monitoring tool was able to process input data from sensors using fuzzy algorithms and determine whether the river water quality is good or not. LoRa functions as data transmission communication and Antares as a cloud service to store data obtained from sensors. Furthermore, data obtained was displayed in the Smartphone Android application. The rivers that were tested are located in Citarum river sector 6 and 21. The results showed that the accuracy of the temperature, TDS and pH sensor were 98.69%, 89.69% and 99.39%, respectively. Furthermore, the average value of RSSI Citarum sector 6 and 21 were -111,576 dB and -112,855 dB, respectively. Meanwhile The average SNR of Sector 6 was -6,46 dB and Citarum sector 21 was -12,85851 dB.

References

[1] Badan Pusat Statistik, Statistik Lingkungan Hidup Indonesia (SLHI). (2018). Badan Pus. Stat. Indones., pp.1-43, 2018. R Conference paper selectivity and impact,

[2] P. N. Budiarti, A. Tjahjono, M. Hariadi, and M. H. Purnomo, Development of IoT for Automated Water Quality Monitoring System, Proc. (2019). Int. Conf. Comput. Sci. Inf. Technol. Electr. Eng. ICOMITEE, 2019. vol. 1, pp. 211-216, 2019.
https://doi.org/10.1109/ICOMITEE.2019.8920900

[3] P. Kungwalrut, V. Kongratana, T. Trisuwannawat, V. Tipsuwanporn, and A. Numsomran. (2018). Improving the efficiency of water management system in biomass power plant using cyberphysical cloud computing, Int. J. Intell. Eng. Syst., vol. 11, no. 4, pp. 188-198, 2018.
https://doi.org/10.22266/ijies2018.0831.19

[4] M. Zangiabadi and H. R. Maleki. (2013). Fuzzy Goal Programming Technique to Solve Multiobjective Transportation Problems with Some Non-Linear Membership Functions, Iran. J. Fuzzy Syst., vol. 10, no. 1, pp. 61-74, 2013.

[5] Wu, Hangyao; XU, Zeshui. Fuzzy Logic in Decision Support: Methods, Applications and Future Trends. (2020). International Journal of Computers Communications & Control, [S.l.], v. 16, n. 1, sep. 2020. ISSN 1841-9844.
https://doi.org/10.15837/ijccc.2021.1.4044

[6] H. Patel and G. S. Thakur. (2017). Classification of imbalanced data using a modified fuzzyneighbor weighted approach, Int. J. Intell. Eng. Syst., vol. 10, no. 1, pp. 56-64, 2017.
https://doi.org/10.22266/ijies2017.0228.07

[7] Peraturan Pemerintah. (2001). Peraturan Pemerintah Republik Indonesia Nomor 82 Tahun 2001, Peratur Pemerintah Republik Indones., no. 1, pp. 1-5, 2001.

[8] Simo, Attila et al. Manufacturing Process Monitoring in Terms of Energy Management Improving. (2019). International Journal of Computers Communications & Control, [S.l.], v. 14, n. 3, p. 388- 400, may 2019. ISSN 1841-9844.
https://doi.org/10.15837/ijccc.2019.3.3560

[9] Menteri Kesehatan Republik Indonesia. (2017). Peraturan Menteri Kesehatan Republik Indonesia Nomor 32 Tahun 2017 Tentang Standar Baku Mutu Kesehatan Lingkungan Dan Persyaratan Kesehatan Air Untuk Keperluan Higiene Sanitasi, Kolam Renang, Solus Per Aqua dan Pemandian Umum, Peratur Menteri Kesehat Republik Indones., pp. 17-20, 2017.

[10] S. Singh and N. Singh. (2015). Internet of Things (IoT): Security challenges, business opportunities & reference architecture for E-commerce, Proc. 2015 Int. Conf. Green Comput. Internet Things, ICGCIoT, 2015. pp. 1577-1581, 2016.
https://doi.org/10.1109/ICGCIoT.2015.7380718

[11] N. A. Riski Muktiarto, D. Perdana, and R. M. Negara. (2018). Performance analysis of mobility impact on IEEE 802.11ah standard with traffic pattern scheme, Int. J. Commun. Networks Inf. Secur., vol. 10, no. 1, pp. 139-147, 2018.

[12] S. Nosratian, M. Moradkhani, and M. B. Tavakoli. (2021). Hybrid data compression using fuzzy logic and Huffman coding in secure IoT, Iran. J. Fuzzy Syst., vol. 18, no. 1, pp. 101-116, 2021.

[13] Costea, Claudiu Raul et al.(2015). Control System Architecture for a Cement Mill Based on Fuzzy Logic. International Journal of Computers Communications & Control, [S.l.], v. 10, n. 2, p. 165-173, apr. 2015. ISSN 1841-9844.
https://doi.org/10.15837/ijccc.2015.2.1750

[14] A. Augustin, J. Yi, T. Clausen, and W. M. Townsley. (2016). A study of Lora: Long range & low power networks for the internet of things, Sensors (Switzerland), vol. 16, no. 9, pp. 1-18, 2016.
https://doi.org/10.3390/s16091466

[15] D. Perdana, R. Munadi, and R. C. Manurung. (2017). Performance evaluation of Gauss-Markov mobility model in hybrid LTE-VANET networks, Telkomnika (Telecommunication Comput. Electron. Control., vol. 15, no. 2, pp. 606-621, 2017.
https://doi.org/10.12928/telkomnika.v15i2.5913

[16] P. Devi, D. Istianti, and N. Bogi. (2019). Perancangan Dan Implementasi Device Tentang Teknologi Akses Lpwan Lora Untuk Monitoring Air Sungai Citarum Device Design and Implementation About Lpwan Lora Access Technology for Citarum River Water Monitoring. Vol.6, No.2 2355-9365, 2019.

[17] C.K. Khuen and A. Zourmand. (2020). Fuzzy Logic Based Flood Detection System Using Lora Technology, Proc. 2020 16 thn IEEE int. Colloq. Signal Process. Its Appl. CSPA (2020). No. Cspa, pp. 40-45, 2020.
https://doi.org/10.1109/CSPA48992.2020.9068698

[18] Syamsul, R. Syahputra, Suherman, and Zamzami. (2018). Control system based on fuzzy logic in nutmeg oil distillation process, Telkomnika (Telecommunication Comput. Electron. Control., vol. 16, no. 5, pp. 2254-2262, 2018.
https://doi.org/10.12928/telkomnika.v16i5.8350

[19] Y. Zhao, L. Yang, and Z. Xu. (2019). Identification and Removal of Ground Clutter Using the Fuzzy Logic Algorithm, Proc. 2019 Int. Conf. Meteorol. Obs. ICMO 2019, pp. 1-3, 2019.
https://doi.org/10.1109/ICMO49322.2019.9026090

[20] A. Najmurrokhman. (2018). 173- Design and implementation of fuzzy logic.pdf, 2018 Electr. Power, Electron. Commun. Control. Informatics Semin., pp. 269-273, 2018.
https://doi.org/10.1109/EECCIS.2018.8692971

[21] H. Ben Zina, M. Bouattour, and M. Chaabane. (2019). Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system, Iran. J. Fuzzy Syst., vol. 16, no. 6, pp. 177-189, 2019.

[22] S. J. Putra, M. Z. Naf'an, and M. N. Gunawan. (2018). Improving the scoring process of question answering system in Indonesian language using Fuzzy logic, Proc. - Int. Conf. Inf. Commun. Technol. Muslim World 2018, ICT4M 2018, pp. 239-242, 2018.
https://doi.org/10.1109/ICT4M.2018.00051

[23] S. Mandala, N. A. S, and M. S. Mubarok. (2017). Energy Efficient IoT Thermometer based on Fuzzy Logic for Fever Monitoring, vol. 0, no. c, 2017.
https://doi.org/10.1109/ICoICT.2017.8074640

[24] A. Naghsh, F. Sheikholeslam, and M. Danesh. (2014). Design of an Adaptive Fuzzy Estimator for Force/Position Tracking in Robot Manipulators, Iran. J. Fuzzy Syst., vol. 11, no. 1, pp. 75-89, 2014.

[25] M. Farhan Mohd Pu'Ad, K. Azami Sidek, and M. Mel. (2020). IoT based water quality monitoring system for aquaponics, J. Phys. Conf. Ser., vol. 1502, no. 1, pp. 2-8, 2020.
https://doi.org/10.1088/1742-6596/1502/1/012020

[26] C. G. Raji, V. A. Thasleena, Liloja, and M. Shahzad. (2019). IoT Based Water Quality Monitoring with Android Application, Proc. 3rd Int. Conf. I-SMAC IoT Soc. Mobile, Anal. Cloud, I-SMAC 2019, pp. 446-451, 2019.
https://doi.org/10.1109/I-SMAC47947.2019.9032468


[27] A. Singh and D. S. Sharma. (2020). Implement Android Application for Book Donation, Proc. Int. Conf. Intell. Eng. Manag. ICIEM 2020, pp. 137-141, 2020.
https://doi.org/10.1109/ICIEM48762.2020.9160283

[28] N. K. E. Kartika, M. A. Murti, and C. Setianingsih. (2019). Floods prediction using radial basis function (RBF) based on internet of things (IoT), Proc. - 2019 IEEE Int. Conf. Ind. 4.0, Artif. Intell. Commun. Technol. IAICT 2019, pp. 125-128, 2019.
https://doi.org/10.1109/ICIAICT.2019.8784839

[29] D. Perdana, Sari, R. F. (2013) "Performance comparison of IEEE 1609.4/802.11p and 802.11e with EDCA implementation in MAC sublayer," 285-290. Paper presented at 2013 5th International Conference on Information Technology and Electrical Engineering, ICITEE. 2013, Yogyakarta, Indonesia.
https://doi.org/10.1109/ICITEED.2013.6676254
Published
2021-07-06
How to Cite
PERDANA, Doan; NAUFAL, Julian; ALINURSAFA, Ibnu. Performance Evaluation of River Water Quality Monitoring Using Lora Connectivity with Fuzzy Algorithm. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 16, n. 4, july 2021. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/4226>. Date accessed: 17 sep. 2021. doi: https://doi.org/10.15837/ijccc.2021.4.4226.