Article Per Year (5 Year)
p-Index From 2019 - 2024
0.61
P-Index
This Author published in this journals
All Journal Teknika Jurnal Teknologi Informasi dan Pendidikan
Irdayanti, Yeni
Unknown Affiliation
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Teknologi Informasi dan Pendidikan

 1 
Aplikasi Fuzzy Logic Controller Untuk Pengukuran Suhu Tubuh Dan Detak Jantung Pada Anak Autism Spectrum Disorder Menggunakan Socially Assistive Robot Prihatini, Ekawati; Irdayanti, Yeni; Rafly, Muhammad
Jurnal Teknologi Informasi dan Pendidikan Vol 17 No 1 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i1.733

Abstract

In the development of electronic technology, especially robots, they have played an important role in the medical field, including for overcoming the anxiety of autistic children and their health. This study used a SAR (Socially Assistive Robot) robot equipped with a heart rate and body temperature sensor to help reduce and indicate the anxiety and also health of autistic children. The MAX30100 sensor was used to detect heart rate, while the GY906 sensor was used to detect body temperature. The robot's response resembled a hand movement, which was a sign that a child's body temperature and heart rate were out of the ordinary (abnormal). The aim was to provide assistance to autistic children in dealing with anxiety and their health, making it easier for teachers to supervise autistic children, which could affect their emotional and social development. By using a fuzzy logic controller to analyze the response of MAX30100 sensors and GY906 sensors working optimally or not, with servo motor output.
The Speech Recognition Approaches for Emotion Regulation in Socially Assistive Robot Prihatini, Ekawati; Irdayanti, Yeni; Susanto, Naziatul Husna
Jurnal Teknologi Informasi dan Pendidikan Vol 17 No 1 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i1.736

Abstract

Socially Assistive Robot (SAR) can be created and used to assist children with special needs specifically those with autism, to manage their emotions through the therapy they need, which is then programmed into the robot. The therapy used on the robot is Applied Behavioral Analysis (ABA) therapy in the form of a guessing game with pictures. This therapy utilizes one of the methods in the robot's program, which is Speech Recognition, to provide feedback from the child using the robot. Speech recognition plays a role in facilitating the interaction between the child and the robot. When the picture-guessing game starts, the robot displays an image on the LCD screen and asks the child to guess the name of the object shown in the picture. At that moment, Speech Recognition works by recording the child's voice and converting it into text, then comparing the child's answer with the correct answer. When the child answers correctly, the robot provides praise, while if the child answers incorrectly, the robot encourages the child to try answering correctly again. This system allows the Socially Assistive Robot to support children with autism in managing their emotions by combining the ABA therapy method with the program's interactive feature enabled by Speech Recognition. Speech Recognition enhances communication and interaction between the child and the robot, creating a supportive and engaging therapeutic experience.
Co-Authors Ade Silvia Handayani Alfarizal, Niksen Meranda, Arganda Nyayu Latifah Husni, Nyayu Latifah Pratama, Destra Andika Prihatini, Ekawati Rafly, Muhammad Susanto, Naziatul Husna