Sistem Evaluasi Pelanggaran Lalu Lintas Ntmc Polri Dengan Algoritma Fuzzy Logic Berbasis Python
Year: 2024
Type: article
Abstract: This research aims to build a traffic violation system using a fuzzy logic algorithm based on the Python language. By utilizing input components to receive traffic violation data and output components to produce traffic understanding level values. This method is used to process data based on traffic violations, system test results show the system's accuracy. To confirm the system's capabilities in traffic violations provides a baseline assessment of the level of accurate understanding of police law. The implications of this system show its potential as an effective detection tool for measuring existing legal violations from various levels of a person's understanding, especially in the legal field. Taking this research into account could provide a strong foundation for the development of similar systems in a variety of future comprehension evaluation contexts
Source: Jurnal Media Akademik (JMA)
DOI: 10.62281/8cc69294
Institution: Universitas Teknologi Bandung
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4392632644