Pengenalan Aktivitas Berkendara Berbasis Sensor Accelerometer dengan Fitur Auto Feedback Menggunakan Algoritma K-Nearest Neighbor
No Thumbnail Available
Date
2016-12-13
Authors
Anbeni, Reipki
Journal Title
Journal ISSN
Volume Title
Publisher
Politeknik Negeri Batam
Abstract
Nowadays, the use of mobile phones is one of the causes of traffic accidents. It is
very alarming considering the use of mobile phones is one of the human activities
which nowadays are often performed. This study is trying to give a solution to
reduce the causes of traffic accident caused by the use of mobile phone while
driving by utilizing the accelerometer sensor contained on smartphones. Data on
accelerometer sensor is classified using K-Nearest Neighboar algorithm to
determine whether mobile phone users are driving or not driving. This study also
make auto feedback application that can automaticaly reply the messages when
mobile phone users are driving so that is expected to create safe driving conditions.
In order to determine the accuracy of the algorithm to classify the activity of
driving, then conducted testing on “auto feedback” application by sending several
messages while mobile phone users are driving and when not driving.
Description
Keywords
Teknik Informatika, Informatika, Computer Sciences, Knowledge, Systems (Ilmu Komputer, Pengetahuan, Sistem), Computer Science, Computer Programming, Programs Data, Special Computer Methods (Ilmu Komputer, Pemrograman Komputer, Program Data, Metode Komputer Khusus), Engineering and Allied Operations (Teknik dan Ilmu yang Berkaitan)