?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IMPLEMENTASI+METODE+SUPPORT+VECTOR+MACHINE+(SVM)%0D%0ADALAM+KLASIFIKASI+JUDUL+BERITA+HOAKS+POLITIK&rft.creator=CINDY%2C+ANISYA&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.subject=510+Matematika&rft.description=Support+Vector+Machine+(SVM)+is+a+method+in+machine+learning+with+the+concept%0D%0Aof+finding+the+optimal+hyperplane+in+the+input+space+so+that+it+can+classify+binary%0D%0Aor+multiclass+classification+problems.+This+study+aims+to+apply+the+SVM+method%0D%0Ato+the+classification+of+political+hoax+news+titles%2C+and+determine+the+level+of%0D%0Aaccuracy+in+each+kernel+function+used+in+the+SVM+method.+The+kernel+function%0D%0Aused+in+this+research+is+linear+kernel%2C+Radial+Basis+Function+(RBF)+kernel%2C%0D%0Apolynomial+kernel%2C+and+sigmoid+kernel+with+a+comparison+between+training+data%0D%0Aand+testing+data+of+80%25%3A+20%25%2C+90%25%3A+10%25%2C+and+95%25%3A+5%25.+The+results+of+this+study%0D%0Ashow+that+the+best+accuracy+value+in+the+classification+process+is+to+use+the+RBF%0D%0Akernel+function+at+a+ratio+of+80%25%3A20%25%2C+and+95%25%3A5%25+with+an+accuracy+value+of%0D%0A92%25.%0D%0A%0D%0AKeywords%3A+Classification%2C+Machine+Learning%2C+Machine+Vector+Support%2C+News%0D%0AHeadline.%0D%0A%0D%0ASupport+Vector+Machine+(SVM)+merupakan+sebuah+metode+dalam+machine%0D%0Alearning+dengan+konsep+menemukan+hyperplane+optimal+dalam+ruang+input%0D%0Asehingga+dapat+mengklasifikasikan+masalah+klasifikasi+biner+atau+multikelas.%0D%0APenelitian+ini+bertujuan+menerapkan+metode+SVM+pada+klasifikasi+judul+berita%0D%0Ahoaks+politik%2C+serta+mengetahui+tingkat+akurasi+pada+setiap+fungsi+kernel+yang%0D%0Adigunakan+pada+metode+SVM.+Adapun+fungsi+kernel+yang+diguakan+adalah+kernel%0D%0Alinear%2C+kernel+Radial+Basis+Function+(RBF)%2C+kernel+polinomial%2C+dan+kernel+sigmoid%0D%0Adengan+perbandingan+antara+data+training+dan+data+testing+sebesar+80%25%3A20%25%2C%0D%0A90%25%3A10%25%2C+dan+95%25%3A5%25.+Hasil+dari+penelitian+ini+menunjukkan+bahwa+nilai%0D%0Aakurasi+terbaik+pada+proses+klasifikasi+yaitu+dengan+menggunakan+fungsi+kernel%0D%0ARBF+pada+perbandingan+80%25%3A20%25%2C+dan+95%25%3A5%25+dengan+nilai+akurasi+sebesar%0D%0A92%25.%0D%0A%0D%0AKata+kunci%3A+Klasifikasi%2C+Machine+Learning%2C+Support+Vector+Machine%2C+Judul%0D%0ABerita.&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-07-12&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F84680%2F1%2FABSTRAK%2520-%2520Cindy%2520Anisya.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F84680%2F2%2FSKRIPSI%2520FULL%2520-%2520Cindy%2520Anisya.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F84680%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN%2520-%2520Cindy%2520Anisya.pdf&rft.identifier=++CINDY%2C+ANISYA++(2024)+IMPLEMENTASI+METODE+SUPPORT+VECTOR+MACHINE+(SVM)+DALAM+KLASIFIKASI+JUDUL+BERITA+HOAKS+POLITIK.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F84680%2F