Automation of Distribution Tank Water Monitoring Using Ultrasonic Sensors with Fuzzy Logic
DOI:
https://doi.org/10.33795/jartel.v16i2.10135Keywords:
Monitoring, Water Tank, Ultrasonic, Fuzzy Logic, LoRaAbstract
Air Water plays a vital role in supporting industrial activities, ranging from production processes to operational needs such as cooling systems and restrooms. Unstable water availability, particularly in locations with limited access, often poses challenges in monitoring water levels in distribution tanks, a task that is still performed manually. This study aims to design an automated monitoring system for distribution tanks that displays water levels, categories, and percentages without requiring on-site inspections. The system uses a JSN-SR04T ultrasonic sensor to measure water levels, and the data is processed by an Arduino Uno microcontroller using Fuzzy Logic to determine water categories and percentages. The resulting data is sent via the SX1278 LoRa module to an ESP32 microcontroller and forwarded to a WhatsApp Bot via the CallMeBot API as a notification for employees. The research methodology includes hardware and software design, Fuzzy Logic implementation, and system testing. Test results show that the ultrasonic sensor is capable of reading water levels with high accuracy after calibration, specifically 99.5%, and the Fuzzy Logic system successfully classified the data according to the established rules. Data transmission via LoRa remains stable up to a distance of 150 meters with 100% effectiveness and no data packet loss. This system has proven effective, with an overall success rate of 99.73% in helping employees automatically monitor water availability.
References
I. Desti and A. Ula, “Analisis Sumber Daya Alam Air,” J. Sains Edukatika Indones., vol. 3, no. 2, pp. 17–24, 2021.
A. A. Poetra, R. Nandika, and T. K. Wijaya, “Prototipe Sistem Monitoring Ketinggian Air Pada Tangki Berbasis Internet of Things,” Sigma Tek., vol. 6, no. 1, pp. 097–108, 2023, doi: 10.33373/sigmateknika.v6i1.5148.
I. Adi, G. W. Nurcahyo, and J. Santoni, “Pendeteksi Volume Air Secara Otomatis Menggunakan Fuzzy,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 3, no. 1, pp. 11–16, 2019, doi: 10.29207/resti.v3i1.738.
Y. P. Nadib, Wahyuni, and M. Fahmi, “Rancang Bangun Sistem Alat Monitoring Ketinggian Air Dalam Tangki Berbasis Internet of Things Menggunakan Aplikasi Blynk Android,” J. Sebatik, vol. 28, no. 2, pp. 1–6, 2024, doi: 10.46984/sebatik.v28i2.0000.
P. I. Azizah, M. Arman, and A. Setyawan, “Monitoring Suhu dan Kelembapan Menggunakan LoRa Arduino dan ESP32 Berbasis Internet of Things melalui Aplikasi Mobile,” Pros. Ind. Res. Work. Natl. Semin., vol. 14, no. 1, pp. 401–405, 2023, doi: 10.35313/irwns.v14i1.5418.
F. Azmi, I. Fawwaz, Muhathir, and N. P. Dharshinni, “Design of Water Level Detection Using Ultrasonic Sensor Based on Fuzzy Logic,” J. Inf. Technol. Educ. Res., vol. 3, no. 1, pp. 142–149, 2019, doi: 10.31289/JITE.V3I1.2668.
L. Hakim, “Reverse Engineering Pada Komponen Otomotif Dengan Metode Photogrammetry,” J. Tek. Mesin S-1, vol. 11, no. 1, pp. 150–155, 2023.
A. F. Silvia, E. Haritman, and Y. Muladi, “Rancang Bangun Akses Kontrol Pintu Gerbang Berbasis Arduino dan Android,” Electrans, vol. 13, no. 1, pp. 1–10, 2014.
M. Zaini, S. Safrudin, and M. Bachrudin, “Perancangan Sistem Monitoring Tegangan, Arus dan Frekuensi Pada Pembangkit Listrik Tenaga Mikrohidro Berbasis IoT,” TESLA J. Tek. Elektro, vol. 22, no. 2, p. 139, 2020, doi: 10.24912/tesla.v0i0.9081.
D. Purwanto, H., “Komparasi Sensor Ultrasonik HC-SR04 dan JSN-SR04T untuk Aplikasi Sistem Deteksi Ketinggian Air,” J. SIMETRIS, vol. 10, no. 2, pp. 717–724, 2020.
D. E. Susilo, A. E. Jayati, and P. Muliandhi, “Simulasi Perencanaan Jaringan Long Range (LoRa),” vol. 12, no. 3, 2023.
M. H. Reza and K. Erwansyah, “Monitoring Tangki Air Berbasis Internet of Things,” vol. 2, pp. 139–146, 2023.
P. S. Matematika, F. Sains, U. I. N. Sultan, and S. Kasim, “Penerapan Metode Fuzzy Tsukamoto dalam Menentukan Jumlah Produksi Tahu,” vol. 18, no. 1, pp. 120–125, 2020.
M. Kastina et al., “Logika Fuzzy Metode Mamdani dalam Sistem Keputusan Fuzzy Produksi Menggunakan MATLAB,” pp. 171–181, 2016.
M. Y. Simargolang, Y. H. Siregar, and H. S. Tamba, “Sistem Pendukung Keputusan Menggunakan Metode Fuzzy,” vol. 2, no. 2, pp. 122–128, 2018.
