?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=KLASIFIKASI+ASETILASI+DAN+METILASI+PADA+DNA+HISTON+RAGI+MENGGUNAKAN+METODE+CONVOLUTIONAL+NEURAL+NETWORK++&rft.creator=MUHAMAD+SEPRYAN+%2C+ASTRAYESA+&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Penelitian++ini++menyajikan++studi++eksperimental++tentang++klasifikasi++DNA++ragi+menggunakan++Convolutional++Neural++Network++(CNN)++dengan++pengkodingan++one-+hot++pada++data++DNA.++Tujuannya++adalah++untuk++menyelidiki++kinerja++model++CNN+dalam++mengklasifikasikan++urutan++DNA++ragi++secara++akurat.++Tiga++percobaan+dilakukan%2C++masing-masing++dengan++variasi++arsitektur++model++dan++teknik++pelatihan.+Hasilnya+dievaluasi+berdasarkan+metrik+akurasi%2C+daya+ingat%2C+dan+presisi.+Di+antara+ketiga++eksperimen++tersebut%2C++Eksperimen++3++menunjukkan++hasil++yang++paling+menjanjikan.+Model+yang+dilatih+mencapai+akurasi+rata-rata+84%2C10%25%2C+recall+83%2C27%25%2C+dan++presisi++86%2C87%25++selama++fase++pelatihan.++Namun++pada++tahap++pengujian%2C++model+menunjukkan++penurunan++performa++yang++sedang%2C++menghasilkan++akurasi++rata-rata+65%2C32%25%2C+recall+65%2C13%25%2C+dan+presisi+69%2C51%25.+Meskipun+terlihat+penurunan+performa+selama+pengujian%2C+Eksperimen+3+mengungguli+eksperimen+lain+dalam+hal+akurasi+klasifikasi.++Temuan++menunjukkan++potensi++model++CNN++untuk++secara++akurat+mengklasifikasikan++urutan++DNA++ragi.++Penelitian++lebih++lanjut++diperlukan++untuk+mengatasi+kesenjangan+kinerja+antara+fase+pelatihan+dan+pengujian%2C+dengan+fokus+pada++pengoptimalan++arsitektur++model++dan++teknik++pelatihan++untuk++meningkatkan+kemampuan+generalisasi+sistem+klasifikasi.%0D%0AKata++Kunci%3A++Klasifikasi++DNA%2C++Jaringan++Saraf++Konvolusi%2C++pengkodean++one-hot%2C+metilasi%2C+asetilasi.%0D%0A%0D%0A%0D%0AThis++study++presents++an++experimental++investigation++into++the++classification++of++yeast+DNA++sequences++using++Convolutional++Neural++Networks++(CNNs)++with++one-hot+encoding++applied++to++the++DNA++data.++The++primary++objective++is++to++evaluate++the+performance+of+CNN+models+in+accurately+classifying+yeast+DNA+sequences.+Three+experiments+were+conducted%2C+each+employing+variations+in+model+architecture+and+training++techniques.++The++outcomes++were++assessed++based++on++accuracy%2C++recall%2C++and+precision++metrics.++Among++the++three%2C++Experiment++3++yielded++the++most++promising+results.++During++the++training++phase%2C++the++model++achieved++an++average++accuracy++of+84.10%25%2C+recall+of+83.27%25%2C+and+precision+of+86.87%25.+However%2C+in+the+testing+phase%2C+the+model+exhibited+a+moderate+performance+decline%2C+with+an+average+accuracy+of+65.32%25%2C++recall++of++65.13%25%2C++and++precision++of++69.51%25.++Despite++the++observed+performance++drop++during++testing%2C++Experiment++3++outperformed++the++other+configurations++in++terms++of++classification++accuracy.++These++findings++highlight++the+potential++of++CNN-based++models++to++effectively++classify++yeast++DNA++sequences.+Further+research+is+necessary+to+bridge+the+performance+gap+between+training+and+testing+phases%2C+focusing+on+model+architecture+optimization+and+training+strategies+to+enhance+the+generalization+capabilities+of+the+classification+system.++Keywords%3A+DNA+classification%2C+Convolutional+Neural+Network%2C+one-hot+encoding%2C+methylation%2C+acetylation.++&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+&rft.date=2023-03-31&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F89289%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F89289%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F89289%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++MUHAMAD+SEPRYAN+%2C+ASTRAYESA+++(2023)+KLASIFIKASI+ASETILASI+DAN+METILASI+PADA+DNA+HISTON+RAGI+MENGGUNAKAN+METODE+CONVOLUTIONAL+NEURAL+NETWORK.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+%2C+UNIVERSITAS+LAMPUNG+.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F89289%2F