Open AccessJaringan Syaraf Tiruan Backpropagation untuk Klasifikasi Data Tilang Berdasarkan Jenis Pelanggaran
Author(s) -
Mhd. Denry Arusution,
Jaya Tata Hardinata,
Irfan Sudahri Damanik
Publication year - 2019
Publication title -
prosiding seminar nasional riset information science (senaris)
Language(s) - English
Resource type - Journals
ISSN - 2686-0260
DOI - 10.30645/senaris.v1i0.61
Subject(s) - ticket , backpropagation , schedule , computer science , attendance , minor (academic) , artificial intelligence , computer security , artificial neural network , operating system , economics , economic growth , political science , law
Proof of violation (ticketing) applies to every person who commits a violation in traffic. The high level of violations that occur also results in the ticket data stored at the Simalungun District Prosecutor's Office becoming obstacles such as the excess capacity of the courtroom.In the ticketing file there are several important points that explain the details of the ticket, such as the type of evidence, vehicle, article, attendance at the trial, and the type of operation performed.Classification can be used as an alternative in the division of the ticketing schedule.The ticket classification in this study uses the Backpropagation method.The target of the expected backpropagation classification is a type of minor and severe violation.The best level of accuracy obtained from this study is 95.0%.