Road Flood Warning Detection Using Wireless Sensors and Fuzzy Logic to Support Gresik Smart City

Angga Debby Frayudha

Abstract


In this paper, we study how to overcome the urgency of flooding that occurs suddenly around the city of Gresik using wireless sensors with fuzzy logic to support Gresik smart city. The process of making flood alarm detection is very difficult to solve. To overcome this, we propose the use of wireless sensors using fuzzy logic in flood-prone areas. Fuzzy logic is used to process sensor data to find more accurate results to improve accuracy and efficiency. Two sensors are installed at the flood warning test point, using Wemos D1 MINI / NodeMCU so that the IoT network can be connected to the server. The data obtained from the measurement results are processed using fuzzy logic. Fuzzy will provide flood warnings automatically when the height is 30 cm and above. The method used is qualitative and product development research. The results after conducting 100 trials showed that there were six cases of errors in reading the water level, so that from the trial an error of 6% was obtained from the sensor made and a success accuracy of 94% was obtained. The research conducted concluded that the research results were as expected. In this way, public safety against sudden flood events will increase.

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References


B. Arshad, R. Ogie, J. Barthelemy, B. Pradhan, N. Verstaevel, and P. Perez, “Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review,” Sensors, vol. 19, no. 22, p. 5012, Nov. 2019, doi: 10.3390/s19225012.

Preethi Rajan, “Integrating IoT Analytics into Marketing Decision Making: A Smart Data-Driven Approach,” International Journal of Data Informatics and Intelligent Computing, vol. 3, no. 1, pp. 12–22, Feb. 2024, doi: 10.59461/ijdiic.v3i1.92.

T. T. N. Huynh et al., “Estimating disease burden of rotavirus in floodwater through traffic in the urban areas: A case study of Can Tho city, Vietnam,” J Flood Risk Manag, vol. 17, no. 1, Mar. 2024, doi: 10.1111/jfr3.12955.

W. A. Wicaksono and L. M. Silalahi, “Rancang Bangun Alat Pendeteksi Banjir Menggunakan Arduino Dengan Metode Fuzzy Logic,” Jurnal Teknologi Elektro, vol. 11, no. 2, p. 93, Jun. 2020, doi: 10.22441/jte.2020.v11i2.005.

N. S. Irbah and L. M. Jaelani, “Permanent & Non-Permanent Water Identification Based on Image Fusion of Sentinel 1 & 2 Data (Case Study: Lamongan Regency),” IOP Conf Ser Earth Environ Sci, vol. 1276, no. 1, p. 012039, Dec. 2023, doi: 10.1088/1755-1315/1276/1/012039.

I. Handayani, A. Setiadi, and F. N. Iman, “Alat Pengukur Ketinggian Air Berbasis Microcontroller Sebagai Peringatan Banjir Dengan Notification,” Technomedia Journal, vol. 4, no. 1, pp. 84–97, May 2019, doi: 10.33050/tmj.v4i1.896.

Y. I. Hatmojo and S. M. Azis, “Development Mobile Application Android Based for Sensor and Transducer,” J Phys Conf Ser, vol. 2111, no. 1, p. 012010, Nov. 2021, doi: 10.1088/1742-6596/2111/1/012010.

A. A. A’ziziyyah, I. I. Nugroho, R. Sabillillah, B. A. S. Aji, and K. Amiroh, “Perbandingan Sistem Deteksi Banjir Menggunakan Algoritma Naive Bayes Dan K-NN Berbasis IOT,” IJCIT (Indonesian Journal on Computer and Information Technology), vol. 7, no. 1, Jul. 2022, doi: 10.31294/ijcit.v7i1.12394.

A. Muzakky, A. Nurhadi, A. Nurdiansyah, and G. Wicaksana, “Prefix-RT Seminar Nasional Hasil Riset PERANCANGAN SISTEM DETEKSI BANJIR BERBASIS IoT,” 2018.

A. D. Frayudha, S. Suhartono, and S. Suyono, “Simulasi 3D Pertumbuhan Kedelai Pada Pemberian Variasi Dosis Formula Pupuk Organik Cair Dan Urea Menggunakan Anfis Berbasis XL System,” MATICS, vol. 12, no. 1, p. 61, Apr. 2020, doi: 10.18860/mat.v12i1.8150.

J. Jot and Prof. L. Sen Sharma, “Study of Anomaly Detection in IoT Sensors,” Int J Res Appl Sci Eng Technol, vol. 11, no. 8, pp. 767–774, Aug. 2023, doi: 10.22214/ijraset.2023.55226.

B. Raj, K. Kalgaonkar, C. Harrison, and P. Dietz, “Ultrasonic Doppler Sensing in HCI,” IEEE Pervasive Comput, vol. 11, no. 2, pp. 24–29, May 2012, doi: 10.1109/MPRV.2012.17.

G. Wang, C. Gu, J. Rice, T. Inoue, and C. Li, “Highly accurate noncontact water level monitoring using continuous-wave Doppler radar,” in 2013 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet), IEEE, May 2013, pp. 19–21. doi: 10.1109/WiSNet.2013.6488620.

R. Sulistyowati et al., SISTEM PENDETEKSI BANJIR BERBASIS SENSOR ULTRASONIK DAN MIKROKONTROLER DENGAN MEDIA KOMUNIKASI SMS GATE WAY.

W. Yang, X. Zheng, and Y. Yang, “Impact of Environmental Regulation on Export Technological Complexity of High-Tech Industries in Chinese Manufacturing,” Economies, vol. 12, no. 2, p. 50, Feb. 2024, doi: 10.3390/economies12020050.

J. Leng, “Do research software engineers have research methods?,” Open Access Government, vol. 42, no. 1, pp. 238–239, Apr. 2024, doi: 10.56367/OAG-042-10687.

T. A. Prasetya, C. T. Harjanto, A. Setiyawan, and A. D. Frayudha, “The analysis of student satisfaction in online learning with microsoft teams application,” 2023, p. 050015. doi: 10.1063/5.0114270.

R. Jain, “The Study on Security in Internet of Things (IoT),” INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, vol. 08, no. 04, pp. 1–5, Apr. 2024, doi: 10.55041/IJSREM32118.

A. D. Frayudha, T. Mulyono, H. Agung, R. Adya, E. N. Amalin, and I. Fitriana, “Predictive Analytics with IoT: Research Trends, Methods, and Architectures Using Systematic Literature Review,” International Journal of Advanced Engineering and Management Research, vol. 08, no. 06, pp. 25–37, 2023, doi: 10.51505/ijaemr.2023.8603.

Mao V. Ngo, Hakima Chaouchi, Tie Luo, and Tony Q.S. Queka, “Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing,” Association for the Advancement of Artificial Intelligence, vol. 4, no. 1, pp. 1–6, 2020.

S. Vongsingthong and S. Smanchat, “INTERNET OF THINGS: A REVIEW OF APPLICATIONS AND TECHNOLOGIES,” Suranaree J. Sci. Technol, vol. 21, no. 4, doi: 10.14456/sjst.2014.38.

G. Kulkarni, “Cloud Computing-Software as Service,” International Journal of Cloud Computing and Services Science (IJ-CLOSER), vol. 1, no. 1, Jan. 2012, doi: 10.11591/closer.v1i1.218.

H. Zhang et al., “Delay-reliability-aware protocol adaption and quality of service guarantee for message queuing telemetry transport-empowered electric Internet of things,” Int J Distrib Sens Netw, vol. 18, no. 5, p. 155013292210978, May 2022, doi: 10.1177/15501329221097815.

T. D. Saputra and Z. Budiarso, “RANCANG BANGUN SISTEM PINTU AIR OTOMATIS BERBASIS IOT,” JOUTICA, vol. 7, no. 2, p. 581, Sep. 2022, doi: 10.30736/informatika.v7i2.866.

F. Li and Q. Shen, “Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Inference Systems,” in Fuzzy Rule-Based Inference, Singapore: Springer Nature Singapore, 2024, pp. 1–15. doi: 10.1007/978-981-97-0491-0_1.

N. Syafitri N, “SIMULASI SISTEM UNTUK PENGONTROLAN LAMPU DAN AIR CONDITIONER DENGAN MENGGUNAKAN LOGIKA FUZZY,” Jurnal Informatika, vol. 10, no. 1, Jan. 2016, doi: 10.26555/jifo.v10i1.a3348.

M. K. M. Nasution, “Ulasan konsep tentang kecerdasan buatan”, doi: 10.13140/RG.2.2.20139.26409.

C. Chen, N. Mac Parthaláin, Y. Li, C. Price, C. Quek, and Q. Shen, “Rough-fuzzy rule interpolation,” Inf Sci (N Y), vol. 351, pp. 1–17, Jul. 2016, doi: 10.1016/j.ins.2016.02.036.

Angga debby frayudha, Aris Yulianto, and Fatmawatul Qomariyah, “PENGEMBANGAN SISTEM MANAJEMEN PENDUKUNG KEPUTUSAN PENILAIAN MUTU KEPEGAWAIAN DINAS PENDIDIKAN REMBANG MENGGUNAKAN ALGORITMA ANFIS (ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM),” Explore IT! : Jurnal Keilmuan dan Aplikasi Teknik Informatika, vol. 12, no. 1, pp. 6–17, Jun. 2020, doi: 10.35891/explorit.v12i1.2020.

D. R. Sope and F. Mitsuhiko, “On fuzzification and optimization problems of clustering indices,” International Journal of Mathematics for Industry, vol. 15, no. 01, Dec. 2023, doi: 10.1142/S2661335223500065.

T. H. Setiawan and L. Prihatini, “TSUKAMOTO FUZZY IN OPTIMIZING THE CREDITWORTHINESS ASSESSMENT PROCESS AT SAVINGS AND LOAN COOPERATIVES,” BAREKENG: Jurnal Ilmu Matematika dan Terapan, vol. 17, no. 2, pp. 0775–0786, Jun. 2023, doi: 10.30598/barekengvol17iss2pp0775-0786.

P. Meilina, N. Rosanti, and N. Astryani, “SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JUMLAH PRODUKSI BARANG DENGAN METODE FUZZY TSUKAMOTO BERBASIS ANDROID.”

A. E. Alabi, O. S. Ayoola, and O. A. Fakolujo, “Fuzzy Logic-based Data Controlled Wireless Sensor Network Routing Protocol for Flood Early Warning,” Nigerian Journal of Technological Development, vol. 18, no. 3, pp. 166–173, Nov. 2021, doi: 10.4314/njtd.v18i3.1.

K. Paradeshi et al., “IOT-based Flood Detection, Monitoring, Control & Alerting System using Fuzzy Logic IOT-based Flood Detection, Monitoring, Control & Alerting System using Fuzzy Logicin**,” International Journal for Research in Engineering Application & Management (IJREAM), vol. 08, p. 7, 2022, doi: 10.35291/2454-9150.2022.0458.




DOI: https://doi.org/10.18860/mat.v16i2.28380

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