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All Journal Jurnal Sistem Komputer dan Informatika (JSON)
Hermanto Hermanto
Universitas Qomaruddin, Gresik
Computer Science & IT Control & Systems Engineering

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Sistem Deteksi Jatuh dan Peringatan Dini Pada Manusia Berbasis Android Ade Hendi; Hermanto Hermanto; Abdur Rozaaq
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 3 (2022): Maret 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i3.3927

Abstract

Falling is an event that has often happened to humans in the surrounding environment, and almost every human being has experienced a fall. The condition of falling in humans can have very serious effects, such as injuries and may even increase the risk of death. The cause of death due to a fall can be caused by several factors, including the weakness of a person's ability to stand back up after a fall, when he falls there is no first aid, someone who falls has difficulty contacting his family or closest people. The purpose of this study is to build a fall detection system in humans. This system utilizes the accelerometer sensor on a smartphone to detect human movement. The fall detection system can run with various conditions of falling motion position with an accuracy level of 87.27% from a total of 110 trials, and a sensitivity of 77.5% so it is properly to use in detecting falling motion.
Co-Authors Abdur Rozaaq Ade Hendi