Archive | 2019
Implementation of E-Bird Competition Based on Artificial Intelligence In Pressing Fraud on Organizer Management Birdsong Contest In The District Banyuwangi
Abstract
This research aims to design an operational information system e-bird competition using an integration website and online applications as well as ultrasonic sensor-based technology uses artificial intelligence in the detection of the fraud conducted by participants or members of the judges of birdsong contest. The methodology used was qualitative research with a descriptive analytical method. Meanwhile, the data used in this study using primary data through interviews with relevant sources and field observation to analyze the source of the problem that occurs such as the weak implementation of standards and the mechanism of birds chirping competition. The contribution of this his research has succeeded in drafting the operational information system by integrating website management data or online application for effectiveness and efficiency of birdsong competition with fraud detection data through artificial intelligence technology based on ultrasonic sensor analysis. The process of integration of the data displayed in the form of draft data flow diagrams, entity relationship diagram, and flowchart. The output of the proposed operating system reports on the readiness needs of the race, the report analyses the tastes of chirping mania, recapitulation the results of ticket sales, the report on the web activity and the competition application, the fraud and sanction reports of the participants, the fraud and sanction reports of the jury, the recapitulation of the winning points and the report of the winner. While from the proposed output side efficiency of the designing system there is a notification for participants and