?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=KINERJA+MOBILENET+UNTUK+KLASIFIKASI+NILAI+KERAPATAN%0D%0ADAN+TRANSPARANSI+TAJUK+DALAM+METODE+FOREST+HEALTH%0D%0AMONITORING+(FHM)+PADA+TAJUK+POHON+JENIS+DAUN+LEBAR&rft.creator=%09Fanirizki+%2C+Sofiyana%09&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Kesehatan+hutan+merupakan+keadaan+hutan+yang+mampu+menjalankan+keseluruhan%0D%0Afungsinya.+Pemantauan+kesehatan+hutan+dengan+Forest+Health+Monitoring+(FHM)%0D%0Amenilai+beberapa+parameter+salah+satunya+kerapatan+dan+transparansi+tajuk.%0D%0APengukuran+kerapatan+dan+transparansi+tajuk+saat+ini+menggunakan+kartu+magic%0D%0Acard.+Penggunaan+deep+learning+untuk+mengklasifikasikan+nilai+kerapatan+dan%0D%0Atransparansi+tajuk+pohon+memiliki+potensi+untuk+mempermudah+dan+meningkatkan%0D%0Aefektivitas+kerja.+Penelitian+ini+bertujuan+untuk+mengukur+kinerja+MobileNet+dalam%0D%0Amengklasifikasi+nilai+kerapatan+dan+transparansi+tajuk+pohon+jenis+daun+lebar+dalam%0D%0Ametode+Forest+Health+Monitoring+(FHM).+Dataset+yang+terdiri+dari+2.965+gambar%0D%0Adari+empat+jenis+pohon+daun+lebar+(pohon+cokelat%2C+pohon+durian%2C+pohon+karet%2C+dan%0D%0Apohon+kemiri)+dikumpulkan+dan+dibagi+menjadi+10+kelas.+Kelas+tersebut+diperoleh%0D%0Adari+kartu+nilai+kerapatan+dan+transparansi+tajuk+(magic+card).+Metode+yang%0D%0Adigunakan+pada+penelitian+ini%2C+yaitu+arsitektur+MobileNet+dengan+tuning%0D%0Ahyperparameter+seperti+epoch+dengan+fungsi+callback+early+stopping%2C+batch+size%2C%0D%0Alearning+rate%2C+dan+optimizer.+Hasil+akurasi+pada+proses+pengujian+model+klasifikasi%0D%0Anilai+kerapatan+dan+transparansi+tajuk+pohon+cokelat+sebesar+61%2C36%25%3B+pohon+durian%0D%0Asebesar+90%2C96%25%3B+pohon+karet+sebesar+65%2C87%25%3B+dan+pada+pohon+kemiri+sebesar%0D%0A80%2C95%25.+Model+MobileNet+klasifikasi+nilai+kerapatan+dan+transparansi+tajuk+pohon%0D%0Ajenis+daun+lebar+mengalami+overfitting.+Overfitting+ditunjukkan+dengan+perbedaan%0D%0Ayang+signifikan+antara+hasil+akurasi+pada+proses+pelatihan+dan+pengujian.+Hasil%0D%0Akinerja+model+yang+mengalami+overfitting+tersebut+menunjukkan+bahwa+model%0D%0AMobileNet+tidak+dapat+diimplementasikan+secara+langsung+untuk+mengklasifikasi%0D%0Anilai+kerapatan+dan+transparansi+tajuk+pohon+dalam+metode+Forest+Health%0D%0AMonitoring+(FHM)+untuk+pohon+jenis+daun+lebar.%0D%0AKata+kunci%3A+deep+learning%2C+forest+health+monitoring%2C+nilai+kerapatan+dan%0D%0Atransparansi+tajuk%2C+mobilenet%0D%0AForest+health+is+a+condition+of+the+forest+that+can+carry+out+all+its+functions.+Forest%0D%0AHealth+Monitoring+(FHM)+assesses+several+parameters%2C+one+of+which+is+crown%0D%0Adensity+(CD)+and+foliage+transparency+(FT).+Measurement+of+crown+density+and%0D%0Afoliage+transparency+currently+uses+magic+cards.+The+use+of+deep+learning+to+classify%0D%0Atree+CD+and+FT+values+has+the+potential+to+simplify+and+increase+work+effectiveness.%0D%0AThis+research+aims+to+measure+the+performance+of+MobileNet+in+classifying+the+CD%0D%0Aand+FT+values+of+broadleaf+trees+using+the+FHM+method.+Dataset+consisting+of+2%2C965%0D%0Aimages+from+four+types+of+broadleaf+trees+(Theobroma+cacao%2C+Durio+zibethinus%2C%0D%0AHevea+brasiliensis%2C+and+Aleurites+moluccana)+was+collected+and+divided+into+10%0D%0Aclasses.+This+class+is+obtained+from+the+magic+cards+of+CD-FT.+The+method+used+in%0D%0Athis+research+is+the+MobileNet+architecture+with+hyperparameter+tuning+such+as%0D%0Aepoch+with+early+stopping+callback+function%2C+batch+size%2C+learning+rate%2C+and%0D%0Aoptimizer.+The+accuracy+results+in+the+testing+process+for+classification+model+of%0D%0Acrown+density+and+foliage+transparency+value+of+Theobroma+cacao+by+61.36%25%3B%0D%0ADurio+zibethinus+by+90.96%25%3B+Hevea+brasiliensis+by+65.87%25%3B+and+Aleurites%0D%0Amoluccana+by+80.95%25.+The+MobileNet+model+for+classifying+broad+leaf+trees'+CD%0D%0Aand+FT+values+experiences+overfitting.+Overfitting+is+indicated+by+a+significant%0D%0Adifference+between+accuracy+results+in+the+training+and+testing+processes.+The%0D%0Aperformance+results+of+the+overfitting+model+indicate+that+the+MobileNet+model%0D%0Acannot+be+implemented+directly+to+classify+crown+density+and+foliage+transparency%0D%0Avalues+in+the+FHM+method+for+broadleaf+trees.%0D%0AKeyword%3A+deep+learning%2C+forest+health+monitoring%2C+crown+density+and+foliage%0D%0Atransparency%2C+mobilenet&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+&rft.date=2024-05-08&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F87237%2F1%2FFanirizki%2520Sofiyana_Abstrak%2520-%2520Fanirizki%2520Sofiyana.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F87237%2F2%2FFanirizki%2520Sofiyana_SKRIPSI%2520FULL%2520-%2520Fanirizki%2520Sofiyana.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F87237%2F3%2FFanirizki%2520Sofiyana_TANPA%2520PEMBAHASAN%2520-%2520Fanirizki%2520Sofiyana.pdf&rft.identifier=+++Fanirizki+%2C+Sofiyana+++(2024)+KINERJA+MOBILENET+UNTUK+KLASIFIKASI+NILAI+KERAPATAN+DAN+TRANSPARANSI+TAJUK+DALAM+METODE+FOREST+HEALTH+MONITORING+(FHM)+PADA+TAJUK+POHON+JENIS+DAUN+LEBAR.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F87237%2F