OPTIMASI DAYA PENERANGAN PADA SMART LIGHTING DENGAN
METODE FUZZY LOGIC CONTROLLER
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Institusion
INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO
Author
HAGI SULISTYO, MUHAMMAD
Subject
T Technology (General)
Datestamp
2024-05-30 01:46:55
Abstract :
Nowadays the high end technology have to be an environmental friendly and based on Green Concept. As well as in lighting term that known as smart lighting, to gain the most efficient energy by reducing the amount off power emission in artificial resources and collaborating it with natural resources, a system control based on fuzzy logic controller is needed to engineering the lighting power. To obtain the corresponding and desirable output value there are 3 ways to controlling fuzzy logic process. That is by engineering one or some processes in fuzzification, Rulebase or defuzzification, which in this research the process that will be eximinated is by engineering the fuzzification in combining the natural lighting system and the artificial one to get to comply the lumination satisfaction value and to obtained the best power emission optimization. The combined lighting system with fuzzy logic control?s result shows that the amount off power emission decrease to ± 54% and the effectivity off the lighting increase to ± 44,72%.
Nowadays the high end technology have to be an environmental friendly and based on Green Concept. As well as in lighting term that known as smart lighting, to gain the most efficient energy by reducing the amount off power emission in artificial resources and collaborating it with natural resources, a system control based on fuzzy logic controller is needed to engineering the lighting power. To obtain the corresponding and desirable output value there are 3 ways to controlling fuzzy logic process. That is by engineering one or some processes in fuzzification, Rulebase or defuzzification, which in this research the process that will be eximinated is by engineering the fuzzification in combining the natural lighting system and the artificial one to get to comply the lumination satisfaction value and to obtained the best power emission optimization. The combined lighting system with fuzzy logic control?s result shows that the amount off power emission decrease to ± 54% and the effectivity off the lighting increase to ± 44,72%.
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