Rancang Bangun Alat Deteksi Cepat Kualitas Air Bersih Berbasis Internet of Things
Kata Kunci:
ESP 32, IoT, ds1820, pH sensor, turbidityAbstrak
Water is one of the primary needs essential for all living beings. In daily life, water is not only used for drinking but also for bathing, washing clothes, irrigating agricultural fields, and various other activities. However, current water resources, both in terms of quantity and quality, are increasingly unable to meet rising demands. The quality of water for daily use has also deteriorated significantly. The increasing annual demand for water is driven by population growth and the fact that almost every human activity requires water. The diversity of human activities has led to rising water pollution, which is one of the major factors contributing to the decline in the availability of clean water. To address this, a device capable of monitoring water quality is proposed. This tool is equipped with turbidity sensors, DS18B20 temperature sensors, and pH sensors, all controlled by an ESP 32 microcontroller and connected via the Internet of Things (IoT). Through this system, real-time water quality monitoring becomes feasible, enabling more optimal and efficient water utilization.
Referensi
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[3] H. Park, Y. Nam, H. Lee, and S. Kim, “Explanation and optimization of ML for coagulant dosing in Water treatment plant using XAI(eXplainable AI) Hongeun Park K-water: Korea Water Resources Corporation Yunhwan Nam K-water: Korea Water Resources Corporation Hohyun Lee K-water: Korea Water Resou,” pp. 0–14, 2024.
[4] B. Das and P. C. Jain, “Real-time water quality monitoring system using Internet of Things,” 2017, doi: 10.1109/comptelix.2017.8003942.
[5] M. Manoj, V. D. Kumar, M. Arif, E.-R. Bulai, P. Bulai, and O. Geman, “State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review.,” Sensors, 2022, doi: 10.3390/s22062088.
[6] S. Zahmatkesh et al., “An approach to removing COD and BOD based on polycarbonate mixed matrix membranes that contain hydrous manganese oxide and silver nanoparticles: A novel application of artificial neural network based simulation in MATLAB,” Chemosphere, vol. 308, p. 136304, 2022, doi: https://doi.org/10.1016/j.chemosphere.2022.136304.
[7] G. L. Muniz, T. C. F. D. Silva, and A. C. Borges, “Assessment and optimization of the use of a novel natural coagulant (Guazuma ulmifolia) for dairy wastewater treatment,” Sci. Total Environ., vol. 744, 2020, doi: 10.1016/j.scitotenv.2020.140864.
[8] A. S. Pattanayak, B. S. Pattnaik, S. K. Udgata, and A. K. Panda, “Development of Chemical Oxygen on Demand (COD) Soft Sensor Using Edge Intelligence,” IEEE Sens. J., vol. 20, no. 24, pp. 14892–14902, 2020, doi: 10.1109/JSEN.2020.3010134.
[9] L. Qiao et al., “Exploring ANFIS application based on actual data from wastewater treatment plant for predicting effluent removal quality of selected major pollutants,” J. Water Process Eng., vol. 56, no. May, p. 104247, 2023, doi: 10.1016/j.jwpe.2023.104247.
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[11] X. Zhang, X. He, M. Wei, F. Li, P. Hou, and C. Zhang, “Magnetic Flocculation Treatment of Coal Mine Water and a Comparison of Water Quality Prediction Algorithms;[Behandlung von Grubenwasser mittels magnetischer Flockung und Vergleich von Algorithmen zur Vorhersage der Wasserqualität];,” Mine Water Environ., vol. 38, no. 2, pp. 391 – 401, 2019, doi: 10.1007/s10230-019-00590-9.
[12] D. Dadebo, D. Obura, N. Etyang, and D. Kimera, “Economic and social perspectives of implementing artificial intelligence in drinking water treatment systems for predicting coagulant dosage: A transition toward sustainability,” Groundw. Sustain. Dev., vol. 23, 2023, doi: 10.1016/j.gsd.2023.100987.
[13] H. Gusril, “Studi Kualitas Air Minum Pdam Di Kota Duri Riau,” J. Geogr., vol. 8, no. 2, 2016.
[14] N. A. Nanda, A. Mahfud, and A. B. Rantawi, “Prototype Sistem Otomatisasi Penjernihan Air Eksternal Water Treatment Berbasis Arduino Uno Dengan Mendeteksi Kadar Keasaman danKekeruhan Air di Clarifier Tank,” Pros. SEMNASTERA (Seminar Nas. Teknol. dan Ris. Ter., 2019.
[15] D. Nusyirwan, M. D. Aritonang, and P. P. P. Perdana, “Penyaringan Air Keruh Menggunakan Sensor LDR dan Bluetooth HC-05 Sebagai Media Pengontrolan Guna Meningkatkan Mutu Kebersihan Air Di Sekolah,” LOGISTA - J. Ilm. Pengabdi. Kpd. Masy., vol. 3, no. 1, 2019, doi: 10.25077/logista.3.1.37-46.2019.
[16] A. E. Fajriaty, P. Yuliantoro, M. A. Amanaf, and N. A. Zen, “Prototipe Sistem Monitoring Pemakaian Air PDAM untuk Rumah Tangga Berbasis Aplikasi Android,” Sci. Tech J. Ilmu Pengetah. dan Teknol., vol. 8, no. 2, 2022, doi: 10.30738/st.vol8.no2.a13143.
[17] F. I. Pademui, K. Zuhri, and D. Brajannoto, “Sistem Kendali Dan Monitoring Tingkat Kekeruhan Air Pada Air PDAM Menggunakan Arduino Uno,” J. Teknol. dan Inform., vol. 3, no. 1, 2022, doi: 10.57084/jeda.v3i1.990.
[18] A. Hidayat, S. Suryadi, and D. Yendrial, “Pengontrolan Level Air Dan Pendeteksi Kekeruhan Kolam Ikan Berbasis Mikrokontroler,” Elektron J. Ilm., vol. 9, no. 1, 2017, doi: 10.30630/eji.9.1.79.
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2025-10-25
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