Open AccessFuzzy Logic and Simple Additive Weighting Implementation on River Flow Controlling System
Author(s) -
Mochammad Hannats Hanafi Ichsan,
Adven Edo Prasetya
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1789/1/012006
Subject(s) - sluice , weighting , fuzzy logic , hydrology (agriculture) , servo , environmental science , computer science , water level , marine engineering , engineering , geography , artificial intelligence , geotechnical engineering , archaeology , radiology , cartography , medicine
Floods are natural disasters that are very difficult to predict and come from a variety of factors. One of the causes of flooding is an increase in the amount of water discharge. The water discharge comes from various sources, among which the most is high water in rivers and high rainfall. While the river is a system of water that flows from upstream to highlands to downstream in the lowlands with a very long and has branched routes. Fuzzy logic is logic that can overcome ambiguous matters, in this case, rainfall and water discharge. In river branching, river opening and closing systems are needed to prevent rain, so the Simple Additive Weighting (SAW) algorithm is used. In this research prototyping was carried out to implement Fuzzy Logic and SAW for sluice control, using the Water Level Sensor and the Rain Sensor Module to control the Servo Motor. Servo Motor is used to control the opening and height of sluice openings. This study as a whole system has an error of 0.099% so that the prototype system can be categorized quite well and can be applied for further research.