Arman Syah Putra

Work place: STMIK Insan Pembangunan, Indonesia

E-mail: armansp892@gmail.com

Website:

Research Interests: Database Management System, Data Mining, Information Systems

Biography

Arman Syah Putra born in Jakarta, August 31, 1985. Is the first son of two children of Mr. Agus Sumpeno and Mrs. Sulasmi. Completing his education at SDN 01 Kramat South Jakarta, Junior High School at Yanusa Middle School South Jakarta, Senior High School at SMUN 29 South Jakarta. In 2007 completed his undergraduate studies (S1) at the Faculty of Computer Science, Budi Luhur University, Jakarta. In 2009, Graduated with a Masters in Management from Bhayangkara University, Jakarta Raya in 2009 and in 2018 began his doctoral degree majoring in Computer Science at Bina Nusantara University. Recorded from 2010 to 2020 as a lecturer at various campuses. Lecturers in Computer Science courses such as Computer Networking courses, Data mining concepts, Management information systems.

Author Articles
Application of Greedy Algorithm on Traffic Violation Enforcement

By Nur Kumala Dewi Arman Syah Putra

DOI: https://doi.org/10.5815/ijeme.2021.01.01, Pub. Date: 8 Feb. 2021

The background of this research is how the application of the algorithm in traffic control systems, with the Greedy algorithm, the system will decide what action and what punishment will be given to traffic offenders on the highway, with the Greedy algorithm, the decisions taken will be based on data and facts. based on existing laws, so decisions made based on law and the human side cannot influence the decisions to be taken by the system based on the application of the Greedy algorithm. The research method used in this study uses literature reviews by reading many previous research journals, it will be able to add knowledge and deepen the research we are doing this time, with the literature review method, we will be able to find new problems and can be used as new research because The literature review is very helpful for our research this time. The system that is being used is using CCTV and can determine what decisions and punishments will be given to traffic offenders, through evidence based on images taken by cameras placed at red lights or corners of the capital's highway, the system this has been active effectively but with the implementation of the algorithm will increase. This research will produce a system proposal and be able to find out whether the application of the Greedy algorithm is correct and can help the current system by implementing the algorithm, so the existing system is more perfect. The main contribution of this research is that the use of the Greedy algorithm can help control the traffic system to enforce the law. 

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