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Sistem Pendeteksi Gejala Awal Tantrum Pada Anak Autisme Melalui Ekspresi Wajah Dengan Convolutional Neural Network Novani, Nefy Puteri; Salsabila, Dini Ramadhani; Aisuwarya, Ratna; Arief, Lathifah; Afriyeni, Nelia
JITCE (Journal of Information Technology and Computer Engineering) Vol. 5 No. 02 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.02.93-106.2021

Abstract

Tantrums are outbursts of anger and they can occur at any age. An attitude tantrum or what is commonly referred to as a temper tantrum is a child's outburst of anger that often occurs when a child shows negative behavior. Emotional outbursts of tantrums that occur in children with autism are not only to seek the attention of adults, but also as an outlet for a child's feelings for parents and those around him on a whim or feeling he is feeling, but the child cannot convey it. For this reason, researchers propose a system for detecting early symptoms of tantrums in children with autism through facial expressions with CNN. The CNN method is one of the deep learning methods that can be used to recognize and classify an object in a digital image. Then the preprocessing process is carried out using labeling on the data. Then the CNN architecture is designed with input containing 48x48x1 neurons. The data was then trained using 357 epochs with an accuracy rate of 72.67%%. Then tested using test data for children with autism to get an average accuracy value of 72.67%%.
Sistem Pemberian Pakan Hamster Otomatis berbasis Mikrokontroler Nurul Aulia, Farah; Aisuwarya, Ratna
CHIPSET Vol. 5 No. 01 (2024): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.5.01.35-39.2024

Abstract

This research aims to create an automatic hamster feeder system at night following the nocturnal nature of hamsters. The system will be given a command in the form of a message via the Telegram messaging application to fill the hamster's weight which will be calculated as a calculation of the hamster's daily feed portion. The nature of hamsters which are generally nocturnal, in contrast to humans who usually rest at night, makes it difficult for humans to feed their hamsters at night regularly. The daily portion of hamster food is around 0.11 times the hamster's body weight and this provision must be appropriate not to cause obesity in the hamster. Based on these circumstances, this research is proposed as a solution to this problem. After filling the hamster's weight information, the system will calculate the hamster's daily food weight and when the sensor catches that the hamster approaching the system, the system will immediately open the servo motor to pour the hamster food.