?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IDENTIFIKASI+INDEKS+DAN+STATUS+VEGETASI+MANGROVE+MELALUI%0D%0ACITRA+UDARA+MENGGUNAKAN+ALGORITMA+YOLO+(YOU+ONLY+LOOK+ONCE)&rft.creator=Vica+%2C+Acnia+Fratiwi%09&rft.subject=600+Teknologi+(ilmu+terapan)&rft.subject=620+Ilmu+teknik+dan+ilmu+yang+berkaitan&rft.description=Mangrove+merupakan+ekosistem+pesisir+yang+penting+untuk+melindungi+pantai%2C%0D%0Amenyediakan+habitat%2C+dan+menyerap+karbon.+Namun%2C+mangrove+rentan+terhadap%0D%0Aberbagai+ancaman%2C+sehingga+diperlukan+sistem+pemantauan+yang+akurat+dan+efektif.%0D%0APenelitian+ini+mengembangkan+program+menggunakan+algoritma+YOLO+untuk%0D%0Amengidentifikasi+status+dan+indeks+vegetasi+mangrove.+Sebagai+pembanding%0D%0Apendekatan+ini+juga+diaplikasikan+pada+pemantauan+lahan+kebun+sawit+dan+tebu.+Metode%0D%0AYOLOv5+dan+YOLOv8+digunakan+dalam+pelatihan+model+deteksi+mangrove%2C+sawit%2C+dan%0D%0Atebu+menggunakan+citra+udara.+Hasil+penelitian+menunjukkan+bahwa+model+YOLOv8%0D%0Amemiliki+kinerja+yang+lebih+baik+dibandingkan+dengan+YOLOv5%2C+dengan+nilai+mAP%0D%0Amencapai+85%25.+Pengujian+untuk+indeksasi+tanaman+di+Hutan+Mangrove+Petengoran%0D%0Amenunjukkan+bahwa+model+YOLOv8+memiliki+tingkat+akurasi+sekitar+95%25+di+kondisi%0D%0Alapangan.+Model+YOLOv8+juga+memberikan+kinerja+yang+baik+pada+pengujian+lahan%0D%0Asawit+dengan+nilai+mAP+94%25+dan+tingkat+akurasi+mencapai+97.5%25+di+kondisi+lapangan.%0D%0ANamun%2C+kinerja+model+YOLOv8+pada+pengujian+lahan+tebu+hanya+mencapai+nilai+mAP%0D%0A18%25+dengan+tingkat+akurasi+32-77%25+di+kondisi+lapangan.+Secara+keseluruhan%2C+hasil%0D%0Apenelitian+ini+memberikan+kontribusi+pada+pengembangan+sistem+pemantauan%0D%0Amangrove+dan+lahan+pertanian.+Namun%2C+masih+diperlukan+penelitian+lebih+lanjut+untuk%0D%0Amengatasi+tantangan+dalam+deteksi+lahan+tebu.%0D%0AKata+Kunci%3A+Mangrove%2C+Sawit%2C+Tebu%2C+YOLOv5%2C+YOLOv8%2C+Deteksi.%0D%0AMangroves+are+important+coastal+ecosystems+that+protect+coastlines%2C+provide+habitats%2C+and%0D%0Asequestering+carbon.+However%2C+mangroves+are+vulnerable+to+various+threats%2C+so+an+accurate+and%0D%0Aeffective+monitoring+system+is+needed.+This+study+developed+a+program+using+the+YOLO%0D%0Aalgorithm+to+identify+the+status+and+vegetation+index+of+mangroves.+For+the+comparison%2C+this%0D%0Aapproach+was+also+applied+to+the+monitoring+of+oil+palm+and+sugarcane+plantations.+The%0D%0AYOLOv5+and+YOLOv8+methods+were+used+to+train+models+to+detect+mangroves%2C+oil+palms%2C+and%0D%0Asugarcane+using+aerial+images.+The+results+showed+that+the+YOLOv8+model+had+better%0D%0Aperformance+than+YOLOv5%2C+with+the+mAP+value+of+85%25.+Testing+in+the+Petengoran+Mangrove%0D%0AForest+for+vegetation+index+showed+that+the+model+had+an+accuracy+rate+of+around+95%25+compare%0D%0Ato+the+actual+field+conditions.+The+model+also+provided+high+accuracy+detection+of+oil+palm%0D%0Aplantations%2C+reaching+97.5%25.+However%2C+the+detection+results+on+sugarcane+plantation+only%0D%0Areached+an+accuracy+rate+of+16-29%25.+Overall%2C+the+results+of+this+study+contribute+to+the%0D%0Adevelopment+of+mangrove+and+agricultural+land+monitoring+systems.+However%2C+further+research%0D%0Ais+needed+to+address+the+challenges+in+sugarcane+field+detection.%0D%0AKeywords%3A+Mangrove%2C+Oil+Palm%2C+Sugarcane%2C+YOLOv5%2C+YOLOv8%2C+Detection.&rft.publisher=TEKNIK&rft.date=2024-01-22&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86631%2F1%2FABSTRAK%2520-%2520Vica%2520Acnia%2520Fratiwi.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86631%2F2%2FFile%2520Full%2520Skripsi%2520-%2520Vica%2520Acnia%2520Fratiwi.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86631%2F3%2FFill%2520Full%2520Skripsi%2520Tanpa%2520BAB%25204%2520-%2520Vica%2520Acnia%2520Fratiwi.pdf&rft.identifier=++Vica+%2C+Acnia+Fratiwi+++(2024)+IDENTIFIKASI+INDEKS+DAN+STATUS+VEGETASI+MANGROVE+MELALUI+CITRA+UDARA+MENGGUNAKAN+ALGORITMA+YOLO+(YOU+ONLY+LOOK+ONCE).++TEKNIK%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F86631%2F