?url_ver=Z39.88-2004&rft_id=1957051003&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IMPLEMENTASI+K-NEAREST+NEIGHBOR+(KNN)+UNTUK%0D%0AKLASIFIKASI+CITRA+SERAT+KAYU&rft.creator=FINKA+%2C+MARISA+GEANANDA+SUFIE+&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=001+Ilmu+pengetahuan&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Kayu+adalah+bahan+mentah+yang+banyak+digunakan+diberbagai+bidang.+Di%0D%0AIndonesia%2C+industri+mebel+seringkali+mengidentifikasi+kayu+langsung+dengan+indra%0D%0Amanusia.+Kemampuan+dan+pengetahuan+manusia+yang+terbatas+menyebabkan%0D%0Aseringnya+terjadi+kesalahan+dan+membutuhkan+lebih+banyak+waktu.+Pembelajaran%0D%0Amesin+adalah+alternatif+untuk+membantu+industri+pengolah+kayu+mengidentifikasi%0D%0Aspesies+kayu+melalui+pembelajaran+berbasis+data.+Metode+K-Nearest+Neighbor%0D%0A(KNN)+mengurutkan+objek+(citra+serat+kayu)+berdasarkan+kemiripannya+dengan%0D%0Ajumlah+tetangga+terdekat+(k).+Hasil+dari+penelitian+ini+berupa+implementasi%0D%0Aalgoritma+KNN+dengan+percobaan+menggunakan+beberapa+k+tetangga+terhadap%0D%0Ahasil+ekstraksi+fitur+dari+citra+yaitu%2C+fitur+warna+HSV+dan+tekstur+GLCM.%0D%0APengujian+model+dengan+pembagian+data+latih+dan+data+uji+80%3A20+dilakukan%0D%0Amenggunakan+5-Fold+Cross+Validation.+Model+terbaik+dihasilkan+tetangga+k+%3D+7%0D%0Adengan+akurasi+76%2C9%25.%0D%0AKata+Kunci%3A+Kayu%2C+K-Nearest+Neighbor+(KKN)%2C+GLCM%2C+HSV%0D%0A%0D%0AWood+is+a+raw+material+that+is+widely+used+in+various+fields.+In+Indonesia%2C+the%0D%0Afurniture+industry+often+identifies+wood+directly+with+the+human+senses.+Limited%0D%0Ahuman+ability+and+knowledge+cause+frequent+errors+and+require+more+time.%0D%0AMachine+learning+is+an+alternative+to+helping+the+wood+processing+industry%0D%0Aidentify+wood+species+through+data-driven+learning.+The+K-Nearest+Neighbor%0D%0A(KNN)+method+sorts+objects+(wood+fiber+images)+based+on+their+similarity+with%0D%0Athe+number+of+nearest+neighbors+(k).+The+result+of+this+research+is+the%0D%0Aimplementation+of+the+KNN+algorithm+by+experimenting+with+several+k+neighbors%0D%0Aon+the+results+of+extracting+features+from+the+image%2C+namely%2C+HSV+color+and%0D%0AGLCM+texture.+Model+testing+with+a+division+of+training+data+and+test+data+of%0D%0A80%3A20+is+done+using+5-Fold+Cross+Validation.+The+best+model+was+generated+by+k%0D%0A%3D+7+neighbors+with+76.9%25+accuracy.%0D%0AKeywords%3A+Wood%2C+K-Nearest+Neighbor+(KKN)%2C+GLCM%2C+HSV&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2023-07-26&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74984%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74984%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74984%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++FINKA+%2C+MARISA+GEANANDA+SUFIE+++(2023)+IMPLEMENTASI+K-NEAREST+NEIGHBOR+(KNN)+UNTUK+KLASIFIKASI+CITRA+SERAT+KAYU.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F74984%2F