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All Journal IJoICT (International Journal on Information and Communication Technology)
Raden Muhamad Yuda Pradana Kusumah
Telkom University
Computer Science & IT

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Basement Flood Control with Adaptive Neuro Fuzzy Inference System Using Ultrasonic Sensor Raden Muhamad Yuda Pradana Kusumah; Maman Abdurohman; Aji Gautama Putrada
International Journal on Information and Communication Technology (IJoICT) Vol. 5 No. 2 (2019): December 2019
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2019.52.482

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.
Co-Authors Aji Gautama Putrada Maman Abdurohman