Rosfendik, Rosfendik (2024) Pemanfaatan Algoritma CNN Untuk Validasi Pemesanan E-Tiket Berbasis Face Recognition. (Utilizing The CNN Algorithm For Validation Of Face Recognition Based E-Ticket Orders). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.
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Abstract
Rapid technological advances, one of which is online transactions, have provided convenience and become an important part of everyday life. One form is purchasing tickets online. Unfortunately, along with this accessibility, the phenomenon of ticket scalper activity has emerged which can be detrimental to service providers and consumers. Apart from that, a similar problem in the case of purchasing online tickets is the use of multiple devices by utilizing other people's IDs or ID cards as well as the use of auto-click bots which are able to speed up the process of purchasing online tickets. In this context, research on the implementation of a Convolutional Neural Network (CNN) algorithm based on facial recognition technology is expected to be a solution to this problem. This aims to increase validation during transactions or ticket purchases to a better level in order to minimize the activity of ticket scalpers. The resulting CNN algorithm model will be applied to a website platform that can be accessed on desktop or mobile devices as a simulation of facial recognition technology for ticket scalper problems.
| Item Type: | Thesis (Undergraduate) |
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| Uncontrolled Keywords: | CNN, face recognition, artificial intelligence, online ticket, dataset public |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Teknik > Program Studi Teknik Informatika |
| Depositing User: | 1462000090 Rosfendik Rosfendik |
| Date Deposited: | 05 Sep 2001 19:07 |
| Last Modified: | 05 Oct 2001 20:56 |
| URI: | http://repository.untag-sby.ac.id/id/eprint/33334 |
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