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Control and Monitoring Automatic Floodgate based on NodeMCU and IOT with Fuzzy Logic Testing

Satriya Ramahdika Utama, Ahmad Firdausi, Galang Persada Hakim

Abstract


Flood is still a problem that always been a mayor obstacle in several big cities in Indonesia such as DKI Jakarta. If the rainfall so high and river can be accommodate the rainfall, there will be flooding. So that river water doesn’t overflow, it is necessary to make a floodgate in the river flow. One of the previous studies that has been carried out regarding the control and monitoring of water dam gates is researched by Fahruddin. 2014 from the Faculty of Science and Technology, Makassar State Islamic University: Describes the design of a device capable of monitoring the height of water activity in the reservoir and controlling the floodgates automatically according to the height of water activity. The research that the writer is currently carrying out is the design method which consists of a series of sensors, NodeMCU microcontrollers, and Stepper Motors. The workflow of this system is when the water rises or falls, it send a signal to the sensor. And then the signal will be input for the microcontroller which is then processed to turn on the motor, so that it can open or close the floodgates, and send information to the indicator screen and Telegram application. After the experiment is carried out, it can be said that the system can work properly, namely when the ultrasonic sensor experiment, it was found that the sensor has been sent an output signal that was in accordance with the water level in actual condition. Based on testing using the fuzzy method, it was found that opening value at the floodgate obtained during the test had an average accuracy rate of 91% with an error difference of 9%.

Keywords


Floodgate; Water Level; Ultrasonic Sensor; Microcontroller; nodeMCU; Rainfall; Fuzzy Logic

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References


A. Arjianto, “Rancang Bangun Model Mekanisme Buka-Tutup Pintu Air Otomatis,” Universitas Muhammadiyah Surakarta, 2004.

L. S. Vamvakeridou-Lyroudia et al., “Assessing and visualising hazard impacts to enhance the resilience of Critical Infrastructures to urban flooding,” Science of the Total Environment, 2020, doi: 10.1016/j.scitotenv.2019.136078.

M. Pregnolato, A. Ford, S. M. Wilkinson, and R. J. Dawson, “The impact of flooding on road transport: A depth-disruption function,” Transportation Research Part D: Transport and Environment, 2017, doi: 10.1016/j.trd.2017.06.020.

M. Pregnolato, A. Ford, V. Glenis, S. Wilkinson, and R. Dawson, “Impact of Climate Change on Disruption to Urban Transport Networks from Pluvial Flooding,” Journal of Infrastructure Systems, 2017, doi: 10.1061/(asce)is.1943-555x.0000372.

D. Arif and B. Suprianto, “Rancang Bangun Kendali Level Air Otomatis Pada Tangki Dengan Servo Valve Berbasis Fuzzy Logic Controller Menggunakan Arduino,” Jurnal Teknik Elektro, vol. 8, no. 1, 2019.

R. A. Mel, D. P. Viero, L. Carniello, and L. D’Alpaos, “Optimal floodgate operation for river flood management: The case study of Padova (Italy),” Journal of Hydrology: Regional Studies, 2020, doi: 10.1016/j.ejrh.2020.100702.

Fahruddin, “Sistem Pemantau dan Kendali Pintu Air Otomatis,” Universitas Islam Negeri Makassar, 2014.

I. A. Guna, “Sistem Monitoring Penetasan Telur Penyu Menggunakan Mikrokontroller NodeMCU Esp8266 Dan Protocol MQTT Dengan Notifikasi Berbasis Telegram Messenger,” J-COSINE, vol. 2, no. 2, 2018.

Y. Saragih, J. H. Prima Silaban, H. Aliya Roostiani, and A. S. Elisabet, “Design of Automatic Water Flood Control and Monitoring Systems in Reservoirs Based on Internet of Things (IoT),” 2020, doi: 10.1109/MECnIT48290.2020.9166593.

F. Hendajani, “Visualisasi Pintu Air Otomatis Menggunakan Sensor Ultrasonik Memanfaatkan NUVUTON NUC140VE3CN,” STMIK Jakarta, 2017.

T. Mantoro and W. Istiono, “Saving water with water level detection in a smart home bathtub using ultrasonic sensor and Fuzzy logic,” 2018, doi: 10.1109/IAC.2017.8280602.

R. E. Bellman and L. A. Zadeh, “Decision-Making In A Fuzzy Environment Report No ERL-69-8 National Aeronautics And Space Administration,” 1970.

L. A. Zadeh, “Fuzzy Sets,” Information and Control, vol. 8, pp. 338–353, 1965.

L. A. Zadeh, “The Concept of a Linguistic Variable and its Application to Approximate Reasoning,” Information Sciences, vol. 8, 1975.

Q. Song and B. S. Chissom, “Forecasting enrollments with fuzzy time series - Part I,” Forecasting enrollments with fuzzy time series - part II, vol. 62, no. 1, pp. 1–8, 1994, doi: 10.1016/0165-0114(93)90355-L.

S.-M. Chen, “Fuzzy forecasting with DNA computing,” Forecasting enrollments based on fuzzy time series, vol. 81, pp. 311–319, 1996, doi: 10.1007/11925903_25.

H. Liu, X. Deng, and W. Jiang, “Risk evaluation in failure mode and effects analysis using fuzzy measure and fuzzy integral,” Symmetry, 2017, doi: 10.3390/sym9080162.

J.-S. R. Jang, C.-T. Sun, and E. Mizutani, Neuro-Fuzzy and Soft Computing A Computational Approach to Learning and Machine Intelligence. Prentice Hall, 1997.

C.-L. HWANG, Y.-J. LAI, and T.-Y. LIU, “A New Approach For Multiple Objective,” Computers Ops Res. Vol. 20, vol. 20, no. 8, pp. 889–899, 1993.

A. Firdausi, I. R. F. Arif, and G. P. N. Hakim, “Time Control Nebulizer Operation Using Fuzzy Sugeno Method,” Journal of Robotics and Control (JRC), 2021, doi: 10.18196/jrc.2259.

N. Wulandari and A. G. Abdullah, “Design and Simulation of Washing Machine using Fuzzy Logic Controller (FLC),” IOP Conference Series: Materials Science and Engineering, vol. 384, no. 1, 2018, doi: 10.1088/1757-899X/384/1/012044.

Mardlijah, A. Mahatir Najar, and D. Khusnul Arif, “Comparison between PID controller and fuzzy sliding mode control (FSMC) on super heater system,” Journal of Physics: Conference Series, vol. 1218, no. 1, 2019, doi: 10.1088/1742-6596/1218/1/012055.

E. K. Zavadskas, J. Antucheviciene, and P. Chatterjee, Multiple-criteria decision-making (MCDM) techniques for business processes information management, vol. 10, no. 1. 2018.

D. Arini, “Analisis Pemilihan Vendor Dengan Menggunakan Pendekatan Metode Fuzzy Topsis Di Pt. Tripatra Engineers And Constructors,” Jurnal Ilmiah Teknik Industri, vol. 3, no. 1, pp. 53–58, 2015.

D. Septiyana and G. P. N. Hakim, “Penerapan Fuzzy Topsis Untuk Pemilihan Pemasok Pada Manajemen Rantai Pasok Di Pt Aetra Tangerang,” Journal of Industrial Manufacturing, vol. 3, no. 2, 2018.

G. P. N. Hakim, A. Firdausi, M. Alaydrus, and S. Budiyanto, “Dynamic Traffic Light Timing Control System using Fuzzy TOPSIS Algorithm,” 2018.

T. Widianti and H. Firdaus, “Pengujian Suhu Lemari Es Dengan Metode Terintegrasi Fuzzyfailure Mode and Effect Analysis (Fuzzy-Fmea),” Jurnal Standardisasi, vol. 18, no. 1, p. 9, 2018, doi: 10.31153/js.v18i1.693.

E. Adar, M. Ince, B. Karatop, and M. S. Bilgili, “The risk analysis by failure mode and effect analysis (FMEA) and fuzzy-FMEA of supercritical water gasification system used in the sewage sludge treatment,” Journal of Environmental Chemical Engineering, 2017, doi: 10.1016/j.jece.2017.02.006.

T. Immawan, W. Sutrisno, and A. K. Rachman, “Operational risk analysis with Fuzzy FMEA (Failure Mode and Effect Analysis) approach (Case study: Optimus Creative Bandung),” MATEC Web of Conferences, vol. 154, 2018, doi: 10.1051/matecconf/201815401084.

S. B. Karwade and M. S. Ali, “Review Paper on Load Forecasting Using Neuro Fuzzy System,” IOSR Journal of Electrical and Electronics Engineering, vol. 10, no. 3, pp. 38–42, 2015, doi: 10.9790/1676-10323842.

E. Safwani, A. Firdausi, and G. Hakim, “Tower Planning And Arrangements Mobile Telecommunication District Central Aceh With Methode Fuzzy Clustering,” Journal of Robotics and Control (JRC), 2020, doi: 10.18196/jrc.2144.

Y. Feng, H. Lu, W. Xie, H. Yin, and J. Bai, “An Improved Fuzzy C-Means Clustering Algorithm Based on Multi-chain Quantum Bee Colony Optimization,” Wireless Personal Communications, vol. 102, no. 2, pp. 1421–1441, 2018, doi: 10.1007/s11277-017-5203-2.

G. P. N. Hakim, A. Firdausi, and M. Hafidz, “Wireless Sensor Network Routing Using Fuzzy Topsis Algorithm to Provide Best Path Quality of Service,” Technology Reports of Kansai University, vol. 62, no. 5, 2020.

S. K. S. L. Preeth, R. Dhanalakshmi, R. Kumar, and P. M. Shakeel, “An adaptive fuzzy rule based energy efficient clustering and immune-inspired routing protocol for WSN-assisted IoT system,” Journal of Ambient Intelligence and Humanized Computing, 2018, doi: 10.1007/s12652-018-1154-z.




DOI: https://doi.org/10.18196/jrc.v3i1.11199

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Copyright (c) 2021 SATRIYA RAMAHDIKA UTAMA, Ahmad Firdausi, Galang Persada Hakim

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Journal of Robotics and Control (JRC)

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