Jaringan Syaraf Tiruan dengan Metode Learning Vector Quantization (LVQ) dalam Menentukan Klasifikasi Jenis Tilang Berdasarkan Kendaraan

Abstract

Learning Vector Quantization (LVQ) is a method of classifying patterns in which each output represents a particular category or class. The author uses the LVQ method to classify the type of ticket based on the vehicle that his research had previously conducted at the Simalungun District Prosecutor's Office. In this study, the author provides a solution to facilitate the filing of ticket data in the Simalungu District Prosecutor's Office, so that the data that has existing tickets can be classified according to their respective types. The results of this study indicate that LVQ is able to classify with an accuracy rate of 76.0%.