IMPLEMENTASI
CASE BASED REASONING (CBR) UNTUK
MENGIDENTIFIKASI KERUSAKAN FUSELAGE DAN
INSTRUMENT PESAWAT CESSNA C208 B DENGAN ALGORITMA JACCARD SIMILARITY
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Institusion
INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO
Author
Alvianty. S, Elsa
Subject
Q Science (General)
Datestamp
2024-02-27 03:20:18
Abstract :
Airworthiness is very influential to support the comfort and safety of a flight, so as not to bring material or non-material losses. This Cessna C208-B fuselage and instrument malfunctions identification system was built with the Case-Based Reasoning (CBR) method, because this method produces a similarity value of a case with the previous case by remembering similar events that have occurred before, then performs the process of calculating the similarity value between the new case and the case base using the Jaccard Similarity algorithm and applying knowledge or information that aims to solve a new case by adopting similar events that have been used before. This research has successfully tested calculations using the Jaccard Similarity algorithm with test case data and produced 1 case as the main answer and several other cases that are close, as well as cases that have absolutely no similarities.
Airworthiness is very influential to support the comfort and safety of a flight, so as not to bring material or non-material losses. This Cessna C208-B fuselage and instrument malfunctions identification system was built with the Case-Based Reasoning (CBR) method, because this method produces a similarity value of a case with the previous case by remembering similar events that have occurred before, then performs the process of calculating the similarity value between the new case and the case base using the Jaccard Similarity algorithm and applying knowledge or information that aims to solve a new case by adopting similar events that have been used before. This research has successfully tested calculations using the Jaccard Similarity algorithm with test case data and produced 1 case as the main answer and several other cases that are close, as well as cases that have absolutely no similarities.
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