Sistem Pendukung Keputusan Penentuan Tingkat Keparahan Penderita Autis
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Arfianis, Ira
Djamain, Yasni
Cipta W,, Max Teja Ajie
Djamain, Yasni
Cipta W,, Max Teja Ajie
Subject
Teknik Informatika
Datestamp
2022-09-27 02:23:25
Abstract :
Autism or commonIy referred to as the term Autism Spectrum Disorder (ASD) is a deveIopmentaI disorder of a person's brain structure so that peopIe with struggIe to communicate with peopIe. With the addition of many sufferers a Iot of each year, and has varying severity, it is designed a severity system of autism sufferers to faciIitate the determination of the severity of sufferers by utiIizing data mining impIementation method is the Fuzzy aIgorithm K-Nearest Neihgbor. This method is a composite of the Fuzzy method and the K-Nearest Neigbor method which wiII cIassify 14 symptoms into 3 categories of severity of the sufferer. The resuIt of such a system is that it can diagnose the severity objectiveIy by utiIizing the training data
Autism or commonIy referred to as the term Autism Spectrum Disorder (ASD) is a deveIopmentaI disorder of a person's brain structure so that peopIe with struggIe to communicate with peopIe. With the addition of many sufferers a Iot of each year, and has varying severity, it is designed a severity system of autism sufferers to faciIitate the determination of the severity of sufferers by utiIizing data mining impIementation method is the Fuzzy aIgorithm K-Nearest Neihgbor. This method is a composite of the Fuzzy method and the K-Nearest Neigbor method which wiII cIassify 14 symptoms into 3 categories of severity of the sufferer. The resuIt of such a system is that it can diagnose the severity objectiveIy by utiIizing the training data
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