PEMANFAATAN ALGORITMA K-MEANS UNTUK PEMETAAN HASIL KLASTERISASI DATA KECELAKAAN LALU LINTAS
ABSTRACT: It is
a vital importance
to analyze road
traffic accidents in
order to improve
traffic security management. Currently,
most of the
traffic information analysis
is limited to
general statistical analysis, which is
hard to explore the rules hiding in its
dataset and also difficult to find the spatial distribution characteristics. This
paper aims to
analyze the road
traffic accidents dataset
based on data mining
method of K-Means
clustering and visualize
the result as
a map. Firstly,
data are extracted for clustering
road segments based on similar characteristics that lies on the dataset, i.e.
the number of accidents, the number vehicles involved, and the number
accidents’ victims. Secondly, the result
of clustering are
presented as a
map that aims
to assist the
police officer in
identifying and evaluating some
black spot areas
(accident prone areas)
in a monthly
period, hence monitoring
he safety of highways users can be anticipated earlier.
Penulis: Lizda Iswari, Ervina
Gita Ayu
Kode Jurnal: jptindustridd150358
