SISTEM PAKAR IDENTIFIKASI TUMBUH KEMBANG ANAK USIA DINI MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER

PUSPITASARI, INNEKE and Samsuryadi, Samsuryadi and Kurniati, Rizki (2022) SISTEM PAKAR IDENTIFIKASI TUMBUH KEMBANG ANAK USIA DINI MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER. Undergraduate thesis, Sriwijaya University.

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Abstract

Children’s growth disorder may happen continuously from conception to adulthood starting from in the womb to adulthood which is marked by the process of child development being disturbed or morbid, but until now the activeness of parents in observing the growth and development of their children has decreased, this can result in delays when parents realizing that their child has a growth disorder. Therefore, an expert system is needed to automatically identify early childhood developmental disorders based on behavioral symptoms in children an expert system for children’s growth and development disorder diagnosis is developed using Naïve Bayes Clasifier method that can produce a calculation of the Bayes value for each disorder, then from the calculation results, the disorder with the largest classification value is taken as a result of identifying developmental disorders in children. This method can identify each type of disturbance and the results are validated by experts, obtained an accuracy rate of 92%

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Gangguan tumbuh kembang anak, Naïve Bayes Classifier, Sistem Pakar
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Inneke Puspitasari
Date Deposited:	06 Sep 2022 02:45
Last Modified:	06 Sep 2022 02:45
URI:	http://repository.unsri.ac.id/id/eprint/78316

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