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Aplikasi Terapi Digital Anak Penyandang Autism di Komunitas Forkesi Chapter Surabaya Mahmudah, Hani'ah; Pratiarso, Aries; Saleh, Akuwan; Yuliana, Mike; Kristalina, Prima; Samsono Hadi, Moch. Zen; Dutono, Titon; Anisah, Ida; Sa’adah, Nihayatus
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 4, No 2 (2022): BUDIMAS : VOL. 04 NO. 02, 2022
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v4i2.5906

Abstract

Many parents in the Surabaya Chapter Forkesi Community (Indonesian Special Children's Parents Communication Forum) do not understand how to care for and teach children with autism, despite the fact that 50 percent of the members of this community are parents of children with autism. This service aims to assist parents in dealing with their autistic children on a daily basis. Furthermore, to address the issue of disadvantaged children with autism who are unable to participate in therapy or seek treatment from psychologists on a regular basis due to the high expense of doing so. The development of an augmented reality-based android mobile application using the marker method will include learning materials for build a match and WH questions, as well as games to help deepen learning, and will be used in conjunction with the ABA method and DTT technique. In May-July 2021, this service activity was carried out in the Surabaya Chapter Forkesi community. Data collecting, interactions with community members, and direct implementation were the strategies used in this service. According to the findings of the Usability Testing, which received a score of 54.6, parents of children with autism agree on the use of digital therapy via Android mobile app.
Aplikasi Terapi Digital Anak Penyandang Autism di Komunitas Forkesi Chapter Surabaya Mahmudah, Hani'ah; Pratiarso, Aries; Saleh, Akuwan; Yuliana, Mike; Kristalina, Prima; Samsono Hadi, Moch. Zen; Dutono, Titon; Anisah, Ida; Sa’adah, Nihayatus
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 4 No. 2 (2022): BUDIMAS : VOL. 04 NO. 02, 2022
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Many parents in the Surabaya Chapter Forkesi Community (Indonesian Special Children's Parents Communication Forum) do not understand how to care for and teach children with autism, despite the fact that 50 percent of the members of this community are parents of children with autism. This service aims to assist parents in dealing with their autistic children on a daily basis. Furthermore, to address the issue of disadvantaged children with autism who are unable to participate in therapy or seek treatment from psychologists on a regular basis due to the high expense of doing so. The development of an augmented reality-based android mobile application using the marker method will include learning materials for build a match and WH questions, as well as games to help deepen learning, and will be used in conjunction with the ABA method and DTT technique. In May-July 2021, this service activity was carried out in the Surabaya Chapter Forkesi community. Data collecting, interactions with community members, and direct implementation were the strategies used in this service. According to the findings of the Usability Testing, which received a score of 54.6, parents of children with autism agree on the use of digital therapy via Android mobile app.
Face Recognition System for Prevention of Car Theft with Haar Cascade and Local Binary Pattern Histogram using Raspberry Pi Abdurrahman, Muhammad Hanif; Amran Darwito, Haryadi; Saleh, Akuwan
EMITTER International Journal of Engineering Technology Vol 8 No 2 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i2.534

Abstract

In this era, the occurrence of vehicle theft has become a fairly frequent problem, especially in big cities like Jakarta and Surabaya. Although the technology for car security is very sophisticated (e.g. keyless system), but there are many cases that thieves still can break into the system. Once a car was stolen, the whereabouts of the car was unknown and the thief was on the loose. The goal of this research is to overcome this problem. As a device, this research works on Raspberry Pi 3 that connected with the Raspberry Pi Camera. Using the OpenCV library, with the Haar Cascade method for face detection, and Local Binary Pattern Histogram for face recognition. The device must be connected to the internet in order to send the information using a Telegram message. The research results show the success of the device system in face-recognizing between the car owner and car thief with optimal conditions in the morning until the afternoon with the light intensity around 660 to 1000 lux, and best recognizing distance at 50 cm. The success rate for obtaining the car’s location for the outdoor condition is 100%. Even if there is a slope or an error data, it can be tolerated because the difference was not too high, about 0.1-1.0 m.