?url_ver=Z39.88-2004&rft_id=1917051022&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PERBANDINGAN+KINERJA+ARSITEKTUR+CONVOLUTIONAL+NEURAL+NETWORK+(CNN)+LENET+DAN+MOBILENET+PADA+IDENTIFIKASI+CITRA+BATIK+LAMPUNG&rft.creator=HANS+CHRISTIAN+%2C+HERWANTO&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.description=Tujuan+dari+penelitian+ini+adalah+untuk+menilai+ketepatan+dan+efektivitas+beberapa+arsitektur+CNN+dalam+mengidentifikasi+pola-pola+rumit+yang+terlihat+dalam+berbagai+motif+Batik+Lampung.+Sebanyak+500+foto+Batik+Lampung+dikumpulkan%2C+yang+terdiri+dari+sepuluh+kategori+yang+berbeda.+Dataset+ini+kemudian+dikenakan+prosedur+augmentasi%2C+termasuk+rotasi%2C+penyesuaian+kecerahan%2C+dan+teknik+zoom.+Dataset+dibagi+menjadi+subset+yang+berbeda%2C+yaitu+set+pelatihan%2C+set+validasi%2C+dan+set+uji.+Desain+LeNet-5+dan+MobileNet+dilatih+menggunakan+platform+mesin+Tesla+K80%2C+dengan+menggunakan+hyperparameter+standar.+Hasil+evaluasi+menunjukkan+bahwa+LeNet-5+menunjukkan+tingkat+akurasi+yang+lebih+tinggi+sebesar+99%2C33%25+dibandingkan+dengan+MobileNet%2C+yang+mencapai+tingkat+akurasi+sebesar+98%2C00%25.+Model+LeNet-5+menunjukkan+tingkat+precision+dan+recall+yang+tinggi%2C+dengan+rata-rata+masing-masing+sebesar+99%2C40%25+dan+99%2C30%25.+LeNet-5+telah+menunjukkan+efektivitas+yang+lebih+tinggi+dalam+mengidentifikasi+motif+Batik+Lampung+meskipun+memiliki+jumlah+parameter+yang+lebih+besar%2C+dengan+demikian+menunjukkan+potensinya+untuk+pengenalan+motif+batik+lampung.+Hasil+penelitian+ini+memberikan+kontribusi+berharga+terhadap+penggunaan+arsitektur+Convolutional+Neural+Network+(CNN)+untuk+tujuan+pelestarian+dan+pengenalan+warisan+budaya+yang+beragam+di+Indonesia%2C+secara+khusus%2C+penelitian+ini+berfokus+pada+identifikasi+motif+Batik.%0D%0A%0D%0AKata+kunci%3A+Batik+Lampung%2C+Convolutional+Neural+Network%2C+LeNet%2C+MobileNet.%0D%0A%E2%80%83%0D%0A%0D%0A%0D%0A%0D%0A%0D%0A%0D%0A%0D%0A%0D%0AABSTRACT%0D%0A%0D%0AThe+objective+of+this+research+is+to+assess+the+accuracy+and+effectiveness+of+various+CNN+architectures+in+identifying+complex+patterns+observed+in+various+Batik+Lampung+motifs.+A+total+of+500+Batik+Lampung+photos+were+collected%2C+consisting+of+ten+different+categories.+This+dataset+underwent+augmentation+procedures%2C+including+rotation%2C+brightness+adjustment%2C+and+zooming+techniques.+The+dataset+was+divided+into+different+subsets%2C+namely+the+training+set%2C+validation+set%2C+and+test+set.+The+LeNet-5+and+MobileNet+designs+were+trained+using+the+Tesla+K80+machine+platform%2C+employing+standard+hyperparameters.+Evaluation+results+indicate+that+LeNet-5+demonstrated+a+higher+accuracy+rate+of+99.33%25+compared+to+MobileNet%2C+which+achieved+an+accuracy+rate+of+98.00%25.+The+LeNet-5+model+exhibited+high+precision+and+recall+rates%2C+averaging+99.40%25+and+99.30%25%2C+respectively.+Despite+having+a+larger+number+of+parameters%2C+LeNet-5+has+shown+higher+effectiveness+in+identifying+Batik+Lampung+motifs%2C+thus+indicating+its+potential+for+recognizing+these+patterns.+The+findings+of+this+research+contribute+significantly+to+the+use+of+Convolutional+Neural+Network+(CNN)+architectures+for+the+preservation+and+recognition+of+diverse+cultural+heritage+in+Indonesia.+Specifically%2C+this+study+focuses+on+the+identification+of+Batik+motifs.%0D%0A%0D%0AKeywords%3A+Lampung+batik%2C+Convolutional+Neural+Network%2C+LeNet%2C+MobileNet.&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+&rft.date=2023-10-23&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F77303%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F77303%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F77303%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++HANS+CHRISTIAN+%2C+HERWANTO++(2023)+PERBANDINGAN+KINERJA+ARSITEKTUR+CONVOLUTIONAL+NEURAL+NETWORK+(CNN)+LENET+DAN+MOBILENET+PADA+IDENTIFIKASI+CITRA+BATIK+LAMPUNG.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F77303%2F