dc.contributor.advisor | Nurhasanah, Rossy | |
dc.contributor.advisor | Purnamawati, Sarah | |
dc.contributor.author | Muflihza, Tsabitah | |
dc.date.accessioned | 2025-02-04T04:19:41Z | |
dc.date.available | 2025-02-04T04:19:41Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/100834 | |
dc.description.abstract | Rupiah is a legal payment method in Indonesia and serves as a national symbol for the
entire nation. One of the challenges faced in managing Rupiah currency is the
circulation of counterfeit bills. Counterfeit Rupiah are currencies produced without
legal permission from the state or government, with the intent to mimic official currency
to deceive intended recipients. Most people cannot distinguish between genuine and
counterfeit money because the 2022 emission Rupiah closely resembles fake money.
Therefore, this research was conducted to enable the public to more easily detect
counterfeit money in their surroundings by performing self-checks through their
smartphones also implementing and analyzing the YOLO version 8 performance to
detect the authenticity of Rupiah. This research focuses on detecting 2022 emission
Rupiah bills, specifically the 50,000 and 100,000 denominations, which have colorchanging
ink with flower images and glossy Bank Indonesia logos that alter colors
depending on the viewing angle. The study implements the You Only Look Once version
8 method to create a system for detecting the authenticity of Rupiah bills. YOLOv8
demonstrates excellent performance in terms of detection accuracy and speed, while
also producing lightweight models that are compatible with mobile applications. The
model developed was then integrated into an Android-based mobile application. Using
the YOLOv8 method to detect counterfeit and genuine 2022 emission Rupiah bills
achieved a precision of 97%, recall of 97%, F1-score of 95%, and accuracy of 97%. | en_US |
dc.language.iso | id | en_US |
dc.publisher | Universitas Sumatera Utara | en_US |
dc.subject | Rupiah | en_US |
dc.subject | Counterfeit Rupiah | en_US |
dc.subject | Color Shifting Ink | en_US |
dc.subject | YOLOv8 | en_US |
dc.title | Deteksi Keaslian Rupiah pada Uang Kertas Rupiah Tahun Emisi 2022 Menggunakan Metode You Only Look Once Versi 8 | en_US |
dc.title.alternative | Authenticity Detection of 2022 Emission Indonesian Rupiah Banknotes Using You Only Look Once Version 8 Method | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM201402070 | |
dc.identifier.nidn | NIDN0001078708 | |
dc.identifier.nidn | NIDN0026028304 | |
dc.identifier.kodeprodi | KODEPRODI59201#Teknologi Informasi | |
dc.description.pages | 77 Pages | en_US |
dc.description.type | Skripsi Sarjana | en_US |
dc.subject.sdgs | SDGs 9. Industry Innovation And Infrastructure | en_US |