?url_ver=Z39.88-2004&rft_id=1917051028&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IMPLEMENTASI+METODE+CONVOLUTIONAL+NEURAL+NETWORK+(CNN)+PADA+KLASIFIKASI+CITRA+SERAT+KAYU&rft.creator=ZAHARA+%2C+LIZA+MULYANI+&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=005+Pemrograman+komputer%2C+program+dan+data&rft.description=Kayu+merupakan+bahan+terpenting+dalam+industri+konstruksi+dan+manufaktur%2C+seperti+kayu+bayur%2C+damar+dan+sengon.+Selain+kayu+olahan%2C+terdapat+juga+kayu+yang+pengolahannya+terbatas%2C+sehingga+jenis+kayu+harus+diidentifikasi+untuk+mencegah+pembalakan+liar.+Klasifikasi+jenis+kayu+digunakan+oleh+perusahaan+industri+untuk+memilah+bahan+baku+dan+digunakan+oleh+polisi+kehutanan+untuk+mencegah+pembalakan+liar.+Proses+klasifikasi+kayu+umumnya+dilakukan+secara+manual+sehingga+tidak+efisien.+Proses+klasifikasi+jenis+kayu+berdasarkan+citra+kayu+dapat+diterapkan+dalam+teknologi+dengan+menggunakan+metode+Convolutional+Neural+Network+(CNN).+Data+citra+serat+kayu+bayur%2C+damar+dan+sengon+yang+digunakan+sebagai+dataset+masing-masing+sebanyak+300+data%2C+sehingga+total+dataset+sebanyak+900+data.+Pelatihan+model+CNN+menggunakan+data+latih+dan+data+validasi+dengan+perbandingan+80%3A20+dari+dataset%2C+yang+berisi+total+900+data.+Pengujian+model+CNN+menggunakan+30+data+uji+baru.+Proses+pelatihan+model+CNN+dengan+5-Fold+Cross+Validation+memberikan+akurasi+rata-rata+sebesar+82%2C12%25.+Proses+pengujian+model+CNN+memberikan+akurasi+80%25.+Berdasarkan+penelitian+yang+dilakukan+dapat+disimpulkan+bahwa+identifikasi+jenis+kayu+dari+citra+serat+kayu+menggunakan+model+CNN+berhasil+dilakukan+dan+dapat+diimplementasikan+ke+dalam+bentuk+website+Sistem+Klasifikasi+Citra+Serat+Kayu.%0D%0AKata+Kunci+%3A+Citra+Serat+Kayu%2C+Convolutional+Neural+Network%2C+CNN%2C+Jenis+Kayu%2C+Klasifikasi+Citra.%0D%0A%0D%0AWood%2C+such+as+bayur%2C+damar%2C+and+sengon%2C+is+the+primary+material+used+in+the+construction+and+industrial+industries.+In+addition+to+processable+wood%2C+there+are+forests+with+processing+restrictions%2C+thus+it+is+vital+to+identify+the+types+of+wood+to+prevent+unlawful+logging.+Manufacturing+businesses+use+wood+classification+to+categorize+raw+materials%2C+and+forestry+police+use+it+to+prevent+unlawful+logging.+Wood+classification+is+typically+done+manually%2C+which+is+inefficient.+The+Convolutional+Neural+Network+(CNN)+method+can+be+used+to+implement+the+process+of+classifying+wood+types+based+on+wood+images+in+technology.+Bayur%2C+Damar%2C+and+Sengon+wood+fiber+image+data+used+as+datasets+are+300+data+each%2C+so+the+total+dataset+is+900+data.+CNN+model+training+uses+training+data+and+validation+data+with+a+ratio+of+80%3A20+from+the+dataset%2C+which+contains+a+total+of+900+data.+30+new+test+data+are+used+in+the+CNN+model+testing+process.+Using+5-Fold+Cross+Validation%2C+the+CNN+model+training+process+yielded+an+average+accuracy+of+82.12%25.+The+accuracy+of+the+CNN+model+testing+method+was+80%25.+Based+on+the+findings%2C+it+is+possible+to+conclude+that+the+identification+of+wood+types+using+wood+fiber+images+has+been+successfully+accomplished+using+the+CNN+model+and+implemented+in+the+Wood+Fiber+Image+Classification+System+website.%0D%0AKeywords+%3A+Convolutional+Neural+Network%2C+CNN%2C+Image+Classification%2C+Wood+Fiber+Image%2C+Wood+Type.&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2023-06-26&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F73929%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F73929%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F73929%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++ZAHARA+%2C+LIZA+MULYANI+++(2023)+IMPLEMENTASI+METODE+CONVOLUTIONAL+NEURAL+NETWORK+(CNN)+PADA+KLASIFIKASI+CITRA+SERAT+KAYU.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F73929%2F