?url_ver=Z39.88-2004&rft_id=1955031008&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IDENTIFIKASI+JENIS+KAIN+DASAR+BERDASARKAN+TEKSTUR+MENGGUNAKAN+METODE+EKSTRAKSI+FITUR+TEKSTUR+GRAY+LEVEL+CO-OCCURRENCE+MATRICES+(GLCM)+DAN+K-NEAREST+NEIGHBOR%0D%0A(K-NN)+&rft.creator=MUTIA%2C+AINI+LUTFIA&rft.subject=620+Ilmu+teknik+dan+ilmu+yang+berkaitan&rft.description=Perkembangan+++teknologi+saat+ini+sudah+berkembang+sangat+pesat%2C+dan+sudah+memasuki+ke++berbagai++sektor++dalam+kehidupan++manusia.++Contoh++++perkembangan+teknologi+nyata+saat+ini+adalah+adanya+sebuah+machine+learning+yang+mampu+membantu+pekerjaan+manusia+baik+dalam+++menentukan+sebuah+keputusan+sampai+dengan+mengklasifikasikan+suatu+permasalahan.+Salah+satu+sektor+yang+penting+dalam+kehidupan++manusia++adalah++sandang++berupa++kain%2C++yang++merupakan++salah++satu+kebutuhan+primer+manusia%2C+sebagai+contoh+penggunaan+kain+tidak+hanya+dijadikan+sebagai+pakaian%2C+namun+juga+sebagai+peralatan+lainnya.+Namun+pada+kenyataannya%2C+sampai+saat+ini%2C+khususnya+masyarakat+Indonesia+masih+menggunakan+indra+peraba+atau+bahkan+perkiraan+dalam+mengklasifikasikan+jenis+kain+berdasarkan+teksturnya.+Penelitian+ini+memanfaatkan+salah+satu+machine+learning+yaitu+K-NN+dan+metode+ekstraksi+GLCM+untuk+mengidentifikasi+serta+mengklasifikasikan+jenis+kain+berdasarkan+teksturnya.+Penelitian+ini+menggunakan+5+jenis+kain+yaitu+drill%2C+katun%2C+polyester%2C+satin%2C+dan+wool.+Ekstraksi+fitur+tekstur+yang+digunakan+sebagai+variable+independen+penelitian+ini+yaitu+dissimilarity%2C+homogeneity%2C+correlation%2C+ASM%2C+dan%0D%0Aenergy+dengan+masing+masing+menggunakan+orientasi+sudut+4+arah+yaitu++0o%2C+45o.+90o%2C%0D%0Adan+135o+.+Adapun+tingkat+akurasi+yang+diperoleh+yaitu+78%25+untuk+pengujian+dengan%0D%0A250+data+latih+dengan+rata+rata+waktu+komputasinya+0%2C047+detik%2C+dan+akurasi+80%25+untuk+pengujian+dengan+750+data+latih%2C+dengan+rata+rata+waktu+komputasi+dalam+mengidentifikasi+yang+diperoleh+adalah+selama+0%2C052+detik.%0D%0A%0D%0AKata+Kunci+%3A+Machine+Learning%2C+Klasifikasi%2C+Kain%2C+GLCM%2C+K-NN.%0D%0A%0D%0AThe+development+of+technology+today+has+grown+very+rapidly+and+has+entered+various+sectors+of+human+life.+An+example+of+real+technological+development+today+is+the+existence+of+machine+learning+that+can+help+human+work+in+determining+a+decision+to+classify+a+problem.+One+of+the+important+sectors+in+human+life+is+clothing+in+the+form+of+cloth%2C+which+is+one+of+the+primary+human+needs%2C+for+example%2C+the+use+of+cloth+is+not+only+used+as+clothing+but+also+as+other+equipment.+But+in+reality%2C+until+now%2C+especially+Indonesian+people+still+use+the+sense+of+touch+or+even+estimates+in+classifying+fabric+types+based+on+their+texture.+This+research+utilizes+one+of+the+machine+learning+methods%2C+namely+K-NN+and+GLCM+extraction+methods+to+identify+and+classify+fabric+types+based+on+their+texture.+This+research+uses+5+types+of+fabric+namely+drill%2C+cotton%2C+polyester%2C+satin%2C+and+wool.+The+extraction+of+texture+features+used++as++independent++variables++of++this++research++are++dissimilarity%2C++homogeneity%2C%0D%0Acorrelation%2C+ASM%2C+and+energy+with+each+using+a+4-way+angle+orientation+of+0o%2C+45o.%0D%0A90o%2C+and+135o.+The+accuracy+rate+obtained+is+78%25+for+testing+with+250+training+data+with+an+average+computation+time+of+0.047+seconds%2C+and+80%25+accuracy+for+testing+with+750+training+data%2C+with+an+average+computation+time+of+0.047+seconds.%0D%0A%0D%0AKeywords%3A+Machine+Learning%2C+Classification%2C+Fabric%2C+GLCM%2C+K-NN.%0D%0A&rft.publisher=FAKULTAS+TEKNIK&rft.date=2023-07-11&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74008%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74008%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74008%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++MUTIA%2C+AINI+LUTFIA++(2023)+IDENTIFIKASI+JENIS+KAIN+DASAR+BERDASARKAN+TEKSTUR+MENGGUNAKAN+METODE+EKSTRAKSI+FITUR+TEKSTUR+GRAY+LEVEL+CO-OCCURRENCE+MATRICES+(GLCM)+DAN+K-NEAREST+NEIGHBOR+(K-NN).++FAKULTAS+TEKNIK%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F74008%2F