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Muslimin, Selamat
Politeknik Negeri Sriwijaya
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Journal : Jurnal Teknologi Informasi dan Pendidikan

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Multi-task Cascaded Convolutional Neural Network Face Recognition in Robot SAR (Socially Assistive Robot) Prihatini, Ekawati; Muslimin, Selamat; Thoriq, Noval Al
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.v17i1.734

Abstract

This study intends to create a Face Recognition system for a Socially Assistive Robot (SAR) created especially for autistic youngsters. Autism is a developmental disease that has varied degrees of impact on social interaction, speech, and behavior. In order to address the developmental deficits in autistic children, early intervention is essential. Children with autism require the right kind of therapy to help them manage their anxiety, develop their social skills, and sharpen their concentration. In this study, Multi-task Cascaded Multi-task Cascaded Convolutional Neural Network(MTCNN) facial recognition technology is used to classify and identify the emotions of autistic children. The technology has the ability to record and recognize children's faces, gauge a child's level of autism, categorize their emotions, and offer the proper support. Previous studies have indicated that it is possible to identify children with autism through their facial expressions. It is anticipated that by using Face Recognition technology on a SAR, autistic youngsters will make progress in their treatment and will feel better emotionally and be more motivated. This research serves as a foundational step in the creation of technologies that can improve the quality of life for kids with autism.
Pemantauan Suhu Air Kolam Ikan Real-time Dengan Teknologi Internet of Things (IoT) Muslimin, Selamat; Wijanarko, Yudi; Bibrosi, Nur Alif Zaki
Jurnal Teknologi Informasi dan Pendidikan Vol. 17 No. 2 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i2.824

Abstract

The quality of pond water is an important factor in ensuring the health and sustainability of the organisms within it. Internet of Things (IoT) technology has enabled the development of sophisticated and effective monitoring systems to monitor water quality in real-time. One important parameter that needs to be monitored is the temperature of the pond water, as unstable temperatures can harm aquatic organisms. To obtain good quality and disease-free fish at normal times, the optimal temperature for catfish fry is around 28˚C - 30˚C. Manual monitoring or using thermometer measuring instruments is still very traditional and limited to the ability of supervisors to carry out continuous monitoring and may cause delays in detecting significant temperature changes. This research aims to analyze the monitoring system of pool water quality based on temperature by utilizing IoT technology. The proposed system uses a DS18B20 temperature sensor that is wirelessly connected to the IoT network. The temperature data collected in real time will be uploaded to Firebase for storage and further analysis. Through the development of this IoT-based pond water quality monitoring system, it is expected to increase efficiency and reliability in monitoring pond water quality. From the monitoring conducted for approximately 24 hours, the temperature in the fishpond is 28°-30°. After analyzing with direct monitoring, the good temperature is at night at 18.00-00.00 WIB. In conjunction with a standard thermometer, resulted in an average temperature sensor error rate of less than 5%, highlighting the reliability of the IoT technology in real-time environmental monitoring.
Co-Authors Amperawan Amperawan, Amperawan Andika Pratama, Destra Bibrosi, Nur Alif Zaki Caesandra, Wahyu Dewi Permata Sari Dira, Arbi Pratam Faisal Damsi, Faisal Iskandar Iskandar Marniati, Yessi Nyayu Latifah Husni, Nyayu Latifah Permata Sari, Dewi Pola Risma Prihatini, Ekawati Ramadhan, M. Daffa Rasyad, Sabilal Renny Maulidda, Renny Savitri, Nurul Thoriq, Noval Al Yaksyah, Rafi Yudi Wijanarko, Yudi