Jurnal Komputer, Informasi dan Teknologi
Vol. 3 No. 2 (2023): Desember

Classification Of Accident Proposed Road Data Traffic In Bengkulu City Using K-Means Algorithm

Anggara, Muhammad Andre (Unknown)
Sonita , Anisya (Unknown)
Rifqo, Muhammad Husni (Unknown)
Wijaya, Ardi (Unknown)



Article Info

Publish Date
15 Dec 2023

Abstract

A traffic accident is an event where a motorized vehicle collides with another object and causes damage. Traffic accident data at the Bengkulu City Police LAKA LANTAS (Traffic Accident) Unit is only used as data reporting where the accident data can actually help to reduce the number of traffic accidents by grouping to facilitate the police in proper handling efforts to reduce the number of traffic accidents. traffic accidents by classifying accident-prone roads. One of the approaches used in developing the clustering method is the K-Means Clustering method, where this method is a data grouping method that attempts to partition data into two or more groups (clusters) with the same characteristics into the same group. The results and discussion of the research obtained a system capable of classifying accident-prone roads using the k-means method. From the tests carried out this system can be used by the POLRESTA in helping these problems.

Copyrights © 2023






Journal Info

Abbrev

KOMITEK

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

KOMITEK Journal (Computer, Information and Technology) journal was founded in 2021. It is an interesting and useful national journal for all parties with an interest in research in various fields of, or closely related to, the disciplines of Computer, Information and Technology. KOMITEK Journal aims ...