?url_ver=Z39.88-2004&rft_id=1917051037&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=CLUSTERING+CITRA+TANAMAN+OBAT+MENGGUNAKAN%0D%0AMETODE+K-MEANS&rft.creator=VIRA+%2C+VERINA+&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Tanaman+obat+memiliki+manfaat+besar+dalam+menyembuhkan+berbagai+penyakit.%0D%0ABanyak+masyarakat+yang+menggunakan+tanaman+obat+sebagai+sumber+tanaman+obat%0D%0Akeluarga+(TOGA).+Bagian+tanaman+yang+dapat+dimanfaatkan+sebagai+obat+adalah%0D%0Adaun.+Daun+sulit+diidentifikasi+karena+banyak+daun+yang+memiliki+bentuk+dan%0D%0Awarna+yang+mirip.+Oleh+karena+itu%2C+pengolahan+citra+dengan+K-Means+Clustering%0D%0Aditerapkan+untuk+membantu+mengidentifikasi+daun+tanaman+obat.+Citra+akan%0D%0Adiscaling+menjadi+600+x+800+piksel.+Ciri+tekstur+pada+citra+akan+dihitung%0D%0Amenggunakan+Gray+Level+Co-occurrence+Matrix+(GLCM).+GLCM+menghasilkan%0D%0Anilai+numerik+yang+kemudian+digunakan+untuk+proses+K-Means+Clustering.+KMeans%0D%0AClustering+akan+mengelompokkan+citra+berdasarkan+kesamaan+nilai+fitur%0D%0Adan+centroid+terdekatnya.+Jumlah+cluster+optimal+yaitu+k%3D3+berdasarkan%0D%0Aperhitungan+nilai+SSE.+Hasil+penelitian+900+dataset+citra+daun+terbagi+menjadi+3%0D%0Acluster+dengan+akurasi+tertinggi+51%2C54%25+pada+cluster+2+yang+memprediksi+daun%0D%0Abinahong.+Proses+K-Means+Clustering+kurang+baik+dikarenakan+penetuan+nilai%0D%0Acentroid+berpengaruh+terhadap+hasil+cluster.+K-Means+Clustering%0D%0Adiimplementasikan+ke+dalam+sistem+web+menggunakan+flask.%0D%0AKata+Kunci%3A+K-Means+Clustering%2C+Gray+Level+Co-occurrence+Matrix+(GLCM)%2C%0D%0ATanaman+Obat%2C+Flask%0D%0A%0D%0AMedicinal+plants+have+significant+benefits+in+treating+various+diseases.+Many%0D%0Acommunities+utilize+medicinal+plants+as+a+source+of+family+herbal+medicine%0D%0A(TOGA).+The+part+of+the+plant+that+is+often+used+for+medicinal+purposes+is+the+leaves.%0D%0AIdentifying+leaves+can+be+challenging+as+many+of+them+have+similar+shapes+and%0D%0Acolors.+Therefore%2C+image+processing+with+K-Means+Clustering+is+applied+to+aid+in%0D%0Athe+identification+of+medicinal+plant+leaves.+The+leaf+images+are+scaled+to+600+x+800%0D%0Apixels.+The+texture+features+of+the+images+are+computed+using+the+Gray+Level+Cooccurrence%0D%0AMatrix+(GLCM)+method.+GLCM+generates+numerical+values+that+are%0D%0Alater+used+in+the+K-Means+Clustering+process.+K-Means+Clustering+method+groups%0D%0Athe+images+based+on+the+similarity+of+their+feature+values+and+their+closest+centroids.%0D%0AThe+optimal+number+of+clusters+is+determined+to+be+k%3D3+based+on+the+calculation+of%0D%0Athe+Sum+of+Squared+Errors+(SSE).+The+results+show+that+out+of+900+leaf+image%0D%0Adatasets%2C+the+K-Means+Clustering+divides+them+into+3+clusters%2C+with+the+highest%0D%0Aaccuracy+of+51.54%25+achieved+in+cluster+2%2C+which+predicts+the+binahong+leaves.+KMeans%0D%0AClustering+process+is+less+effective+due+to+the+influence+of+centroid%0D%0Ainitialization+on+the+clustering+results.+K-Means+Clustering+is+implemented+into+a%0D%0Aweb-based+system+using+Flask.%0D%0AKeywords%3A+K-Means+Clustering%2C+Gray+Level+Co-occurrence+Matrix+(GLCM)%2C%0D%0AMedicinal+Plant%2C+Flask&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2023-08-03&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74981%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74981%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74981%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++VIRA+%2C+VERINA+++(2023)+CLUSTERING+CITRA+TANAMAN+OBAT+MENGGUNAKAN+METODE+K-MEANS.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F74981%2F