Basement Flood Control with Adaptive Neuro Fuzzy Inference System Using Ultrasonic Sensor

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Abstract

This paper proposes a basement flood management system based on Adaptive Neuro Fuzzy Inference System (ANFIS). Basement is one of the main parts of a building that has a high potential for flooding. Therefore, the existence of a flood control system in the basement can be a solution to this threat. Water level control is the key to solving the problem. Fuzzy Inference System (FIS) has proven to be a reliable method in the control system but this method has limitations, that is, it needs to have a basis or a reference when determining the fuzzy set. When there is no basis or reference, Adaptive Neuro FIS (ANFIS) can be a solution. The Neuron aspect in ANFIS determines fuzzy sets through training data. In terms of the Internet of Things (IoT), this system uses an ultrasonic sensor, Node Red IoT platform, and Matlab Server.  Then the water pump will turn on to control the water level when there is rainfall. By undergoing a comparative test with the FIS method, ANFIS provides a lower Root Mean Square Error (RMSE) and is recommended for use in basement flood management systems.

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Author Biographies

Raden Muhamad Yuda Pradana Kusumah, Telkom University
School of Computing, Telkom University
Bandung, Indonesia
Maman Abdurohman, Telkom University
School of Computing, Telkom University
Bandung, Indonesia
Aji Gautama Putrada, Telkom University

School of Computing, Telkom University
Bandung, Indonesia

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Published
2020-06-10
How to Cite
Kusumah, R. M. Y. P., Abdurohman, M., & Putrada, A. G. (2020). Basement Flood Control with Adaptive Neuro Fuzzy Inference System Using Ultrasonic Sensor. International Journal on Information and Communication Technology (IJoICT), 5(2), 11-19. https://doi.org/10.21108/IJOICT.2019.52.482
Section
Embeded System