?url_ver=Z39.88-2004&rft_id=1857051001+&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=HIGH+PERFORMANCE+COMPUTING+UNTUK+KLASIFIKASI+IMAGE+TUMBUHAN+OBAT+SIRIH+DAN+BINAHONG+MENGGUNAKAN+METODE+CONVOLUTIONAL+NEURAL+NETWORK+(CNN)&rft.creator=AZZAH+%2C+ROUDHOH+&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=600+Teknologi+(ilmu+terapan)&rft.description=%0D%0A%0D%0A%0D%0ATumbuhan++obat++merupakan++tumbuhan++yang++bermanfaat++bagi++kesehatan%2C++yaitu+untuk+menyembuhkan+suatu+penyakit.+Salah+satu+tumbuhan+obat+yang+sering+digunakan+adalah+daun+sirih+dan+daun+binahong.+Untuk+mengelompokkan+kedua+jenis+daun+tersebut+dapat+dilakukan+dengan+cara+klasifikasi.+Proses+klasifikasi+dilakukan+berdasarkan+bentuk+daun.+Metode+CNN+merupakan+metode+yang+umum+digunakan+untuk+klasifikasi+data+image+karena+metode+ini+menghasilkan+akurasi+yang+paling+signifikan+dalam+pengenalan+citra.+Klasifikasi+image+menggunakan+Central+Processing+Unit+(CPU)+akan+memerlukan+waktu+eksekusi+yang+cukup+lama+dalam+proses+training.+Oleh+karena+itu%2C+dengan+perkembangan+perangkat+yang+ada+sekarang+masalah+dapat+diatasi+menggunakan+Graphics+Processing+Unit+(GPU)++dengan++CUDA++untuk++mempercepat++waktu++proses+++training.++Dalam+penelitian+ini+menggunakan+data+yang+berjumlah+900+data+image+tanaman+obat+yang+dibagi+menjadi+3+data%2C+yaitu+data+training%2C+data+testing%2C+dan+data+validation+dengan+rasio+perbandingan+8+%3A+1+%3A+1.+Berdasarkan+hasil+yang+diperoleh+menggunakan+GPU+dapat+mempersingkat+waktu+sebesar+kurang+lebih+2+kali+lebih+cepat+dari+pengunaan+CPU.%0D%0A%0D%0AKata+kunci%3A+Tumbuhan+Obat%2C+Convolutional+Neural+Network%2C+Klasifikasi%2C+Central%0D%0AProcessing+Unit%2C+Graphics+Processing+Unit+%0D%0A%0D%0A%0D%0A%0D%0AMedicinal+plants+are+plants+that+are+useful+to+health%2C+specifically+to+cure+a+disease.+One+of+the+medicinal+plants+that+are+often+used+are+betel+leaves+and+binahong+leaves.+To+classify+the+two+types+of+leaves+can+be+done+by+way+of+classification.+The+classification+process+is+carried+out+based+on+the+shape+of+the+leaves.+The+CNN+method+is+a+commonly+used+method+for+classifying+image+data+because+this+method+produces+the+most+significant+accuracy+in+image+recognition.+Image+classification+using+the+Central+Processing+Unit+(CPU)+will+require+a+long+execution++time++in++the++training++process.++Therefore%2C++with++the++development++of+existing+devices%2C+this+problem+can+be+overcome+by+using+the+Graphics+Processing+Unit+(GPU)+with+CUDA+to+speed+up+the+training+process+time.+In+this+study%2C+900+medicinal+plant+image+data+were+used+which+were+divided+into+3+data%2C+namely+training+data%2C+testing+data%2C+and+validation+data+with+a+ratio+of+8+%3A+1+%3A+1.+Based+on+the+results+obtained+using+the+GPU%2C+it+can+shorten+the+time+by+approximately+2+times+faster+than+CPU+usage.%0D%0A%0D%0AKeywords%3A+Medical+Plant%2C+Convolutional+Neural+Network%2C+Classification%2C+Central%0D%0AProcessing+Unit%2C+Graphics+Processing+Unit%0D%0A&rft.publisher=MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2023-02-03&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F69843%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F69843%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F69843%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++AZZAH+%2C+ROUDHOH+++(2023)+HIGH+PERFORMANCE+COMPUTING+UNTUK+KLASIFIKASI+IMAGE+TUMBUHAN+OBAT+SIRIH+DAN+BINAHONG+MENGGUNAKAN+METODE+CONVOLUTIONAL+NEURAL+NETWORK+(CNN).++MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F69843%2F