?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=KINERJA+ALEXNET+UNTUK+IDENTIFIKASI+SKALA+KERAPATAN%0D%0ADAN+TRANSPARANSI+TAJUK+DALAM+METODE+FOREST+HEALTH%0D%0A%0D%0AMONITORING+(FHM)+JENIS+DAUN+JARUM&rft.creator=Diah+%2C+Adi+Sriatna%09&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Penggunaan+teknologi+citra+digital+dengan+Convolutional+Neural+Network+(CNN)%0D%0Ayaitu+arsitektur+AlexNet+dapat+mengidentifikasi+skala+kerapatan+dan+transparansi%0D%0Atajuk+pohon+jenis+daun+jarum+dalam+metode+Forest+Health+Monitoring+(FHM).%0D%0AKarena+selama+ini+pengukuran+skala+kerapatan+dan+transparasi+tajuk+pohon+jenis%0D%0Adaun+jarum+dalam+metode+FHM+dilaksanakan+secara+manual+menggunakan+magic%0D%0Acard.+Tujuan+dari+penelitian+ini+adalah+mengukur+kinerja+AlexNet+untuk%0D%0Amengidentifikasi+skala+kerapatan+dan+transparansi+tajuk+pohon+jenis+daun+jarum%0D%0Adalam+metode+FHM.+Jenis-jenis+pohon+daun+jarum+yang+digunakan+sebagai+dataset%2C%0D%0Ayaitu%3A+Araucaria+heterophylla%2C+Cupressus+retusa%2C+Pinus+merkusii%2C+dan+Shorea%0D%0Ajavanica.+Metode+penelitian+ini+antara+lain%3A+pengumpulan+dataset+citra+tajuk+pohon%0D%0Ajenis+daun+jarum%2C+preprocessing%2C+pembagian+dataset%2C+pelatihan+model+AlexNet+dan%0D%0Aevaluasi+model+AlexNet.+Dataset+yang+digunakan+berjumlah+1000+citra+untuk+setiap%0D%0Ajenis+pohon%2C+dengan+masing-masing+jenis+pohon+terbagi+ke+dalam+10+kelas.+Hasil%0D%0Apenelitian+ini+menunjukkan+bahwa+akurasi+dengan+model+AlexNet+menggunakan%0D%0Akomputer+tesla+k80+tajuk+pohon+jenis+daun+jarum+Araucaria+heterophylla+sebesar%0D%0A87.00%25%2C+Cupressus+retusa+sebesar+96.00%25%2C+Pinus+merkusii+sebesar+86.00%25+dan%0D%0AShorea+javanica+sebesar+95.00%25.+Model+AlexNet+memiliki+kemampuan+yang+baik%0D%0Adalam+mengklasifikasikan+citra%2C+meskipun+ada+beberapa+kesalahan+dalam%0D%0Amengklasifikasikan+citra+yang+memiliki+pola+dan+posisi+yang+hampir+serupa.%0D%0A%0D%0AKata+kunci%3A+AlexNet%2C+convolutional+neural+network%2C+daun+jarum%2C+tajuk%0D%0A%0D%0AThe+use+of+digital+image+technology+with+a+Convolutional+Neural+Network+(CNN)%2C%0D%0Anamely+the+AlexNet+architecture%2C+can+identify+the+scale+of+density+and+transparency%0D%0Aof+coniferous+tree+crown+in+the+Forest+Health+Monitoring+(FHM)+method.+So+far%2C%0D%0Ameasurements+of+the+density+scale+and+canopy+transparency+of+needle-leaf+trees+in%0D%0Athe+FHM+method+have+been+carried+out+manually+using+magic+cards.+The+aim+of%0D%0Athis+research+is+to+measure+the+performance+of+AlexNet+to+identify+the+scale+of%0D%0Adensity+and+transparency+of+coniferous+tree+crown+in+the+FHM+method.+The+types%0D%0Aof+needle+leaf+tree+crowns+used+as+datasets+are+Araucaria+heterophylla%2C+Cupressus%0D%0Aretusa%2C+Pinus+merkusii%2C+and+Shorea+javanica.+This+research+method+includes%3A%0D%0Acollecting+a+dataset+of+coniferous+tree+crown+images%3B+preprocessing%3B+dividing+the%0D%0Adataset%3B+training+the+AlexNet+model%3B+and+evaluating+the+AlexNet+model.+The+dataset%0D%0Aused+consists+of+1000+images+for+each+tree+type%2C+with+each+tree+type+divided+into+10%0D%0Aclasses.+The+results+of+this+research+show+that+the+accuracy+of+the+AlexNet+model%0D%0Ausing+a+Tesla+K80+computer+is+87.00%25+for+the+crown+of+the+needle-leaf+tree%0D%0AAraucaria+heterophylla%2C+96.00%25+for+Cupressus+retusa%2C+86.00%25+for+Pinus+merkusii%2C%0D%0Aand+95.00%25+for+Shorea+javanica.+The+AlexNet+model+has+good+abilities+in%0D%0Aclassifying+images%2C+although+there+are+several+errors+in+classifying+images+that+have%0D%0Aalmost+similar+patterns+and+positions.%0D%0A%0D%0AKata+kunci%3A+AlexNet%2C+convolutional+neural+network%2C+crown%2C+needle+leave&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-03-27&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F87412%2F1%2F1917051009-Abstrak%2520-%2520Diah%25202125.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F87412%2F2%2F1917051009-File%2520Full%2520SKRIPSI%2520-%2520Diah%25202125.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F87412%2F3%2F1917051009-File%2520Full%2520SKRIPSI%2520Tanpa%2520Bab%2520Pembahasan%2520-%2520Diah%25202125.pdf&rft.identifier=++Diah+%2C+Adi+Sriatna+++(2024)+KINERJA+ALEXNET+UNTUK+IDENTIFIKASI+SKALA+KERAPATAN+DAN+TRANSPARANSI+TAJUK+DALAM+METODE+FOREST+HEALTH+MONITORING+(FHM)+JENIS+DAUN+JARUM.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F87412%2F