Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Muhammad Arga Farrel Arkaan
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sistem Deteksi Permukaan Jalan pada Kursi Roda Pintar dengan Metode MobileNetV2 Muhammad Arga Farrel Arkaan; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 2 (2023): Februari 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

The problem of wheelchairs is becoming more serious now as many disabled people need wheelchairs for mobility. The varied condition of the road surface in Indonesia can cause discomfort and the risk of accidents for wheelchair users. Wheelchair users currently have to control speed manually, but the Image Recognition feature for automating electric motor speed can improve comfort and reduce the risk of accidents. Therefore, the proposed solution is to develop a smart wheelchair system that uses the MobileNetV2 Image Recognition method to control electric motor speed according to the condition of the road surface. The developed smart wheelchair system is able to identify the type of road surface traveled using the MobileNetV2 method and adjust the wheel's speed according to the needs. The results of the testing of this system in the form of percentage of prediction accuracy percentage of 97% with a computing time of 0.24-0.25 seconds.
Co-Authors Utaminingrum, Fitri