?url_ver=Z39.88-2004&rft_id=1917051058&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IMPLEMENTASI+K-NEAREST+NEIGHBORS+(KNN)+DAN+FUNGSI%0D%0AKEANGGOTAAN+FUZZY+UNTUK+IMPUTASI+MISSING+VALUES%0D%0APADA+KLASIFIKASI+DATA&rft.creator=REVITA+%2C+SETIANINGSIH+&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=Missing+values+merupakan+suatu+keadaan+dimana+terdapat+nilai+yang+kosong+atau%0D%0Ahilang+dalam+sebuah+dataset.+Nilai+yang+hilang+ini+dapat+terjadi+karena+kesalahan%0D%0Aresponden+yang+tidak+menjawab+semua+pertanyaan+dalam+kuesioner%2C+pengukuran+dan%0D%0Aeksperimen+yang+salah+ketika+input+data+secara+manual%2C+adanya+beberapa+data+yang%0D%0Adisensor%2C+dan+lainnya.+Terdapat+3+cara+untuk+mengatasi+missing+values+yaitu+listwise%0D%0Adeletion%2C+pairwise+deletion%2C+dan+imputasi.+Pada+penelitian+ini+dilakukan+imputasi%0D%0Amenggunakan+KNN+dan+fungsi+keanggotaan+fuzzy+untuk+mengetahui+apakah+metode%0D%0Aini+dapat+menangani+missing+values+dengan+lebih+baik+dibanding+dengan+metode%0D%0Aimputasi+konvensional.%0D%0AFungsi+keanggotaan+fuzzy+segitiga+dan+Gaussian+digunakan+dalam+algoritma+imputasi%0D%0Adata+untuk+menghitung+bobot+nilai+data+tetangga+terdekat+sebelum+digunakan+selama%0D%0Aproses+imputasi.+Adapun+data+penelitian+pada+penelitian+ini+menggunakan+jenis+data%0D%0Aklasifikasi+yang+diperoleh+dari+UCI+Machine+Learning+Repository+yang+berjumlah+5%0D%0Adataset.+Hasil+yang+diperoleh+menunjukkan+bahwa+fungsi+keanggotaan+fuzzy+memiliki%0D%0Anilai+akurasi+yang+lebih+tinggi+dibandingkan+dengan+imputasi+konvensional+dimana%0D%0Afungsi+keanggotaan+fuzzy+segitiga+lebih+unggul+dari+fungsi+keanggotaan+fuzzy%0D%0AGaussian+berdasarkan+rata-rata+akurasinya.+Sehingga%2C+fungsi+keanggotaan+fuzzy+lebih%0D%0Abaik+untuk+menangani+missing+values+dalam+meningkatkan+akurasi.%0D%0AKata+kunci%3A+Missing+Values%2C+K-Nearest+Neighbor+(KNN)%2C+Fungsi+Keanggotaan+Fuzzy%2C%0D%0ALogika+Fuzzy%0D%0A%0D%0AA+missing+value+is+a+condition+where+there+are+any+values+that+blank+or+missing+in+the%0D%0Adataset.+This+missing+value+can+occur+due+to+respondents'+errors+in+not+answering+all%0D%0Aquestions+in+the+questionnaire%2C+incorrect+measurements+and+experiments+when+entering%0D%0Adata+manually%2C+the+presence+of+some+censored+data%2C+and+others.+There+are+3+ways+to%0D%0Aovercome+missing+values%2C+namely+listwise+deletion%2C+pairwise+deletion%2C+and+imputation.%0D%0AIn+this+research%2C+imputation+was+carried+out+using+KNN+and+fuzzy+membership%0D%0Afunctions+to+find+out+whether+this+method+can+handle+missing+values+better+than%0D%0Aconventional+imputation+methods.%0D%0AThe+triangular+and+Gaussian+fuzzy+membership+functions+are+used+in+data+imputation%0D%0Aalgorithms+to+calculate+the+weight+for+the+data+values+of+the+nearest+neighbor%E2%80%99s+before%0D%0Athey+are+used+during+the+imputation+process.+The+research+data+in+this+study+used+the%0D%0Atype+of+classification+data+obtained+from+the+UCI+Machine+Learning+Repository+which%0D%0Aamounted+to+5+datasets.+The+results+obtained+show+that+the+fuzzy+membership+function%0D%0Ahas+a+higher+accuracy+value+compared+to+conventional+imputation+where+the%0D%0Atriangular+fuzzy+membership+function+is+superior+to+the+Gaussian+fuzzy+membership%0D%0Afunction+based+on+its+average+accuracy.+Thus%2C+the+fuzzy+membership+function+is+better%0D%0Afor+handling+missing+values+in+improving+accuracy.%0D%0AKeywords%3A+Missing+Values%2C+K-Nearest+Neighbor+(KNN)%2C+Fuzzy+Membership+Function%2C%0D%0AFuzzy+Logic&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2023-07-28&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F75264%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F75264%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F75264%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++REVITA+%2C+SETIANINGSIH+++(2023)+IMPLEMENTASI+K-NEAREST+NEIGHBORS+(KNN)+DAN+FUNGSI+KEANGGOTAAN+FUZZY+UNTUK+IMPUTASI+MISSING+VALUES+PADA+KLASIFIKASI+DATA.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F75264%2F