?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=https%3A%2F%2Fdigilib.uin-suka.ac.id%2Fid%2Feprint%2F66342%2F&rft.title=LAPORAN+PENELITIAN+DETEKSI+CITRA+WAJAH+PALSU+GENERATIVE+ADVERSARIAL+NETWORKS+MENGGUNAKAN+CONVOLUTIONAL+NEURAL+NETWORK+BERBASISKAN+ERROR+LEVEL+ANALYSIS&rft.creator=Maria+Ulfah+Siregar%2C+-&rft.creator=Nurochman%2C+-&rft.creator=Dwi+Larasati%2C+-&rft.creator=Anif+Hanifa+Setianingrum%2C+-&rft.subject=Tehnik+Informatika&rft.description=Generative+adversarial+networks+merupakan+algoritma+yang+sering+digunakan+untuk+melakukan+generate+gambar+menggunakan+AI.+Diperlukan+sebuah+algoritma+yang+mampu+melakukan+deteksi+apakah+sebuah+gambar+merupakan+hasil+kerja+generative+adversarial+networks+atau+gambar+nyata.+Pada+penelitian+ini%2C+kami+mengajukan+penggunaan+algoritma+Error+Level+Analysis+dan+convolutional+neural+network+untuk+mendeteksi+citra+manipulasi+yang+dihasilkan+oleh+generative+adversarial+networks.+Setelah+melakukan+training+data%2C+dapat+dibuktikan+bahwa+penggunaan+onvolutional+neural+network+dengan+kompresi+Error+Level+Analysis+dapat+meningkatkan+performa+keseluruhan+dari+model%2C+baik+itu+akurasi%2C+precision%2C+recall%2C+maupun+parametser+lainnya.+Berdasarkan+hasil+evaluasi%2C+didapatkan+bahwa+training+onvolutional+neural+network+terbaik+didapatkan+ketika+menggunakan+kompresi+Error+Level+Analysis+50%25+karena+dapat+mencapai+94%25+akurasi%2C+precision+93.3%25%2C+Recall+94.9%25%2C+F1+Score+94.1%25%2C+ROC-AUC+Score+98.7%25%2C+dan+AP+Score+98.8%25.+Penelitian+ini+diharapkan+dapat+menjadi+referensi+untuk+melakukan+proses+deteksi+gambar+antara+gambar+nyata+atau+gambar+palsu+hasil+generative+adversarial+networks.&rft.publisher=UIN+Sunan+Kalijaga+Yogyakarta&rft.date=2022&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=id&rft.identifier=https%3A%2F%2Fdigilib.uin-suka.ac.id%2Fid%2Feprint%2F66342%2F1%2FLAPORAN%2520PENELITIAN%2520DETEKSI%2520CITRA%2520WAJAH%2520PALSU%2520GENERA.pdf&rft.format=text&rft.language=id&rft.identifier=https%3A%2F%2Fdigilib.uin-suka.ac.id%2Fid%2Feprint%2F66342%2F2%2Fsurat-surat-pernyataan1722994376.pdf&rft.identifier=++Maria+Ulfah+Siregar%2C+-+and+Nurochman%2C+-+and+Dwi+Larasati%2C+-+and+Anif+Hanifa+Setianingrum%2C+-++(2022)+LAPORAN+PENELITIAN+DETEKSI+CITRA+WAJAH+PALSU+GENERATIVE+ADVERSARIAL+NETWORKS+MENGGUNAKAN+CONVOLUTIONAL+NEURAL+NETWORK+BERBASISKAN+ERROR+LEVEL+ANALYSIS.++Project+Report.+UIN+Sunan+Kalijaga+Yogyakarta%2C+Yogyakarta.+++++