?url_ver=Z39.88-2004&rft_id=1517051159&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IDENTIFIKASI+KERUSAKAN+POHON+%0D%0AMENGGUNAKAN+COMPUTER+VISION%0D%0A&rft.creator=ZUHRI+NOPRIYANTO%2C+1517051159&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.description=Trees+are+ecosystem+organisms+that+have+many+functions+for+life+around+them.+Healthy+trees+play+an+essential+role+in+maintaining+the+global+cycle.+Therefore+it+is+vital+to+know+the+condition+of+damaged+trees.+Tree+damage+can+eliminate+its+functionality+and+cause+losses.+Efforts+to+overcome+detection+are+needed+to+prevent+the+loss+of+tree+function%2C+and+computer+vision+has+it.+Computer+vision+is+a+method+of+data+acquisition%2C+analysis%2C+and+understanding+of+images+and+has+advantages+in+accuracy+in+terms+of+detection.+This+study+aims+to+prove+that+the+Convolutional+Neural+Network+(CNN)+algorithm+is+capable+of+being+part+of+computer+vision+in+identifying+tree+damage+based+on+Forest+Health+Monitoring+(FHM).+The+stages+of+this+research+are+dataset+collection%2C+dataset+(preprocessing)%2C+distribution+of+datasets%2C+training+and+testing+of+models+on+datasets%2C+and+evaluation+of+model+results.+The+result+of+the+research+is+a+model+that+can+identify+tree+damage+with+two+different+architectures%2C+namely+LeNet-5+and+MobileNet%2C+with+1600+datasets+image+or+photos+LeNet-5+has+an+accuracy+rate+of+89.99%25+in+the+model+training+time+of+5122+seconds%2C+while+MobileNet+99.06%25+in+the+model+training+time+of+654+seconds.+MobileNet+can+provide+greater+accuracy+because+it+has+more+feature+extraction+layers+than+LeNet-5.+Besides+that%2C+the+dataset+used+has+a+lot+of+color+similarity%2C+allowing+for+false+detection.+Thus%2C+it+can+be+concluded+that+the+Convolutional+Neural+Network+(CNN)+algorithm%2C+as+part+of+computer+vision%2C+can+identify+tree+damage.%0D%0A%0D%0AKeywords%3A+Computer+Vision%2C+Convolutional+Neural+Network+(CNN)%2C+Forest+Health+Monitoring+(FHM)%2C+Tree+Damage%0D%0A%0D%0A%0D%0A%0D%0A%0D%0APohon+merupakan+organisme+ekosistem+yang+memiliki+banyak+fungsional+bagi+kehidupan+disekitarnya.+Pohon+yang+sehat+berperan+penting+dalam+menjaga+siklus+global%2C+oleh+karena+itu+kondisi+pohon+yang+mengalami+kerusakan+menjadi+penting+diketahui.+Kerusakan+pohon+dapat+menghilangkan+fungsionalitasnya+sehingga+menyebabkan+kerugian%2C+untuk+mengatasi+hal+tersebut+dibutuhkan+pendeteksian+untuk+mencegah+hilangnya+fungsi+pohon+dan+computer+vision+memilikinya.+Computer+vision+merupakan+metode+perolehan+data%2C+analisis%2C+dan+mengerti+gambar+serta+memiliki+kelebihan+pada+tingkat+akurasinya+dalam+hal+pendeteksian.+Tujuan+penelitian+ini+adalah+membuktikan+bahwa+algoritma+Convolutional+Neural+Network+(CNN)+mampu+sebagai+bagian+computer+vision+dalam+mengidentifikasi+kerusakan+pohon+berbasis+Forest+Health+Monitoring+(FHM).+Tahapan+penelitian+ini+adalah+pengumpulan+dataset%2C+pengolahan+dataset+(preprocessing)%2C+pembagian+dataset%2C+training+dan+pengujian+model+terhadap+dataset%2C+dan+evaluasi+hasil+model.+Hasil+penelitian+berupa+model+yang+dapat+mengidentifikasi+kerusakan+pohon+dengan+dua+arsitektur+berbeda+yaitu+LeNet-5+dan+MobileNet+dengan+1600+dataset+gambar+atau+foto.+LeNet-5+memiliki+tingkat+akurasi+sebesar+89.99%25+dalam+waktu+pelatihan+model+5122+detik%2C+sedangkan+MobileNet+99.06%25+dalam+waktu+pelatihan+model+654+detik.+MobileNet+mampu+memberikan+akurasi+lebih+besar+dikarenakan+lapisan+ekstraksi+cirinyanya+lebih+banyak+dibandingkan+LeNet-5%2C+selain+itu+dataset+yang+digunakan+memiliki+banyak+kemiripan+warna+yang+memungkinkan+terjadinya+salah+deteksi.+Dengan+demikian%2C+dapat+disimpulkan+bahwa+algoritma+Convolutional+Neural+Network+(CNN)+sebagai+bagian+computer+vision+mampu+dalam+mengidentifikasi+kerusakan+pohon.+%0D%0A%0D%0AKata+Kunci%3A+Computer+Vision%2C+Convolutional+Neural+Network+(CNN)%2C+Forest+Health+Monitoring+(FHM)%2C+Kerusakan+Pohon%0D%0A&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2022-07-06&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F65732%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F65732%2F3%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F65732%2F2%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++ZUHRI+NOPRIYANTO%2C+1517051159++(2022)+IDENTIFIKASI+KERUSAKAN+POHON+MENGGUNAKAN+COMPUTER+VISION.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F65732%2F