Analysis of the Effectiveness of the Fuzzy Sugeno and Mamdani Methods in an Arduino-Based Automatic Fish Feeder

DOI

10.2991/978-2-38476-374-0_13How to use a DOI?

Keywords

Analysis Effectiveness; Fuzzy Sugeno and Mamdani Methods; Arduino-Based Automatic Fish Feeder

Abstract

The aquaculture and marine sectors are important for the economy of South Kalimantan Province with fish farming in cages as one of the contributing factors. However, the practices associated with floating net cages in the rivers of the Banjarmasin City have polluted the environment, much of which was linked to excess feeding, benzoyl-bait builds up, and drug outflow. In this case, this research designed and demonstrated automatic fish feeders powered by the Arduino board. The research focused on two fuzzy logic control methods, namely Sugeno and Mamdani, in optimizing the feeding process. These were prototype users used in swallowing prototypes as small scale tests for operational feeding, environmental and overall functional parameters of the system. The findings indicated that the control mechanisms and strategies for the feeding processes scarcities up to and culturing activities downstream wastes were achieved using both methods. But it turned out that the Sugeno method was stronger than the Mamdani’s, and Australian’s method was superior to Soug’s in computational efficiency and strength, so there are tighter control of the computer system. This study supports the feasibility of automated feeding systems for fish farming in regards to their ability to reduce the impact on the environment while being effective in their overall operation. Takeaways from these studies may be beneficial for the introduction of Moore Strains’ technology for the development of the sustainable equipment for fisheries’ activities in South Kalimantan.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Adi Pratomo
AU  - Mey Risa
PY  - 2025
DA  - 2025/03/13
TI  - Analysis of the Effectiveness of the Fuzzy Sugeno and Mamdani Methods in an Arduino-Based Automatic Fish Feeder
BT  - Proceedings of the 2nd International Conference on Environmental Learning Educational Technologies (ICELET 2024)
PB  - Atlantis Press
SP  - 139
EP  - 154
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-374-0_13
DO  - 10.2991/978-2-38476-374-0_13
ID  - Pratomo2025
ER  -