?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PERBANDINGAN+KINERJA+ARSITEKTUR+MOBILENET+V2+DAN%0D%0AINCEPTION+V3+PADA+KLASIFIKASI+AKSARA+LAMPUNG&rft.creator=BOBBY+MALELA%2C+HUTAGALUNG&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Aksara+Lampung+yang+juga+dikenal+sebagai+Had+Lampung%2C+adalah+salah+satu%0D%0Awarisan+budaya+indonesia+yang+berakar+di+Provinsi+Lampung.+Namun%2C%0D%0Apenggunaannya+semakin+menurun.+Salah+satu+cara+untuk+melestarikan+aksara%0D%0ALampung+yang+diusulkan+oleh+peneliti+adalah+dengan+menjadikannya+subjek%0D%0Apenelitian+dengan+menerapkannya+ke+dalam+Convolutional+Neural+Network+(CNN)%0D%0Adengan+membandingkan+arsitektur+MobileNet+V2+dan+Inception+V3+untuk%0D%0Amengklasifikasikan+gambaran+Aksara+Lampung.+Melalui+penelitian+ini%2C+diperoleh%0D%0Ahasil+akurasi+untuk+setiap+arsitektur+yang+dapat+menjadi+dasar+untuk+pengembangan%0D%0Aaplikasi+dan+penelitian+selanjutnya.+Pendekatan+ini+memiliki+potensi+untuk%0D%0Amempertahankan+dan+memperkuat+warisan+budaya+Lampung%2C+serta%0D%0Amengintegrasikannya+ke+dalam+budaya+modern.+Penelitian+ini+dibagi+menjadi+8%0D%0Askema+yang+mengoptimalkan+hyperparameter+dengan+ukuran+batch+16%2F32%2C+epoch%0D%0A10%2F20+dan+learning+rate+0.001%2F0.0001.+Penelitian+ini+melibatkan+32.140+data+gambar%0D%0Adari+18+kelas.+Hasil+akurasi+terbaik+diperoleh+dari+arsitektur+MobileNet+V2+pada%0D%0Askema+3+dengan+tingkat+akurasi+98%25%2C+sedangkan+Inception+V3+mencapai+akurasi%0D%0Atertinggi+pada+skema+3+dengan+tingkat+akurasi+yang+sama+yaitu+98%25.%0D%0AKata+kunci%3A+Aksara+Lampung%2C+Inception+V3%2C+Klasifikasi%2C+MobileNet+V2%2C%0D%0APerbandingan.%0D%0A%0D%0ALampung+script%2C+also+known+as+Had+Lampung%2C+is+one+of+Indonesia%E2%80%99s+cultural%0D%0Aheritage+that+has+it%E2%80%99s+roots+in+Lampung+Province.+However%2C+it%E2%80%99s+use+has+decreased%0D%0Ain+interest.+one+of+the+way+preserve+the+Lampung+script+proposed+by+the+researcher%0D%0Ato+make+it+a+research+subject+by+appliying+it+into+Convolutional+Neural+Network%0D%0A(CNN)+by+comparing+MobileNet+V2+and+Inception+V3+architectures+to+classify%0D%0ALampung+script+images.+Through+this+research%2C+accuracy+result+for+each%0D%0Aarchitectures+were+obtained+which+can+be+the+base+for+application+development+and%0D%0Afuture+research.+This+approach+has+the+potential+to+maintain+and+strengthen%0D%0ALampung%E2%80%99s+cultural+heritage+and+integrate+it+into+modern+culture.+This+research+is%0D%0Adivided+into+8+schemes+that+optimize+hyperparameters+with+batch+size+16%2F32.+Epoch%0D%0A10%2F20%2C+and+learning+rate+0.001%2F0.0001.+This+research+involved+32.140+data+images%0D%0Afrom+18+classes.+The+best+accuracy+result+were+obtained+from+the+MobileNet+V2%0D%0Aarchitecture+in+scheme+3+with+an+accuracy+level+of+98%25+while+Inception+V3%0D%0Aachieved+the+highest+accuracy+in+scheme+3+with+the+same+accuracy+level+of+98%25.%0D%0AKeywords%3A+Classification%2C+Comparison%2C+Inception+V3%2C+Lampung+Script%2C+Mobile%0D%0ANet+V2.&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2023-09-08&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83779%2F1%2FABSTRAK%2520-%2520BOBBY%2520MALELA%2520HUTAGALUNG%252049.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83779%2F2%2FSKRIPSI%2520FULL%2520-%2520BOBBY%2520MALELA%2520HUTAGALUNG%252049.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83779%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN%2520-%2520BOBBY%2520MALELA%2520HUTAGALUNG%252049.pdf&rft.identifier=++BOBBY+MALELA%2C+HUTAGALUNG++(2023)+PERBANDINGAN+KINERJA+ARSITEKTUR+MOBILENET+V2+DAN+INCEPTION+V3+PADA+KLASIFIKASI+AKSARA+LAMPUNG.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F83779%2F