📅 02 May 2025
DOI: 10.52187/rdt.v6i1.297
Implementation of Machine Learning on Android Based Application for Classifying the Types of Injuries on Traffic Accident: Implementasi Machine Learning Menggunakan Aplikasi Android untuk Klasifikasi Jenis Luka Cedera pada Kecelakaan Lalu Lintas
RADIANT: Journal of Applied, Social, and Education Studies
Politeknik Assalaam Surakarta
📄 Abstract
This research implements a machine learning model to classify the types of injuries sustained in road accidents. Accidents can happen anywhere and at unexpected times, and not many drivers know how to provide first aid in the event of an accident. These problems encourage researchers to carry out machine learning-based research that can provide recommendations for action and first aid materials/equipment, as well as information on the nearest health facilities to facilitate the search for help in an emergency. The machine learning model created uses a variety of training datasets in the form of a set of images of road accident injuries. The transfer learning method is used to classify injuries and road conditions. The preliminary results of the machine learning model showed promising application potential, as evidenced by the relatively high retention rate and successful classification results. The implementation of machine learning can contribute to increased safety awareness and proactive measures to reduce road accidents and injuries.
🔖 Keywords
#Machine Learning; Transfer Learning; Android; Wound Type; Injuries
ℹ️ Informasi Publikasi
Tanggal Publikasi
02 May 2025
Volume / Nomor / Tahun
Volume 6, Nomor 1, Tahun 2025
📝 HOW TO CITE
Naury, Chairullah; Hastomo, Mursid Dwi; Saputra, Dhuha Ardha; Yovian, Vincent, "Implementation of Machine Learning on Android Based Application for Classifying the Types of Injuries on Traffic Accident: Implementasi Machine Learning Menggunakan Aplikasi Android untuk Klasifikasi Jenis Luka Cedera pada Kecelakaan Lalu Lintas," RADIANT: Journal of Applied, Social, and Education Studies, vol. 6, no. 1, May. 2025.
ACM
ACS
APA
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Download Citation
0
Sitasi
Cek Google Scholar