?url_ver=Z39.88-2004&rft_id=1817051033&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Klasifikasi+Post+Translational+Modification+N+Glikosilasi+pada+Sequence+Protein+menggunakan+Algoritma+Random+Forest&rft.creator=Suci+Hikmawati%2C+1817051033&rft.subject=005+Pemrograman+komputer%2C+program+dan+data&rft.description=Modifikasi+protein+merupakan+protein+yang+strukturnya+mengalami+perubahan.+Glikosilasi+adalah+salah+satu+modifikasi+protein+yang+paling+rumit+dalam+sel+eukariotik.+Glikosilasi+berperan+penting+dalam+fungsi+biologis%2C+seperti+pengenalan+antigen%2C+komunikasi+sel-sel%2C+ekspresi+gen%2C+dan+pelipatan+protein.+Dalam+melakukan+identifikasi+situs+glikosilasi+pada+sekuens+protein+dapat+dilakukan+secara+eksperimental%2C+namun+merupakan+tantangan+yang+sulit+karena+memerlukan+waktu+yang+lama+dan+biaya+yang+mahal.+Beberapa+peneliti+mengusulkan+menggunakan+metode+komputasi+untuk+identifikasi+situs+glikosilasi%2C+sehingga+pada+penelitian+ini+dilakukan+pengklasifikasian+untuk+mengidentifikasi+situs+glikosilasi+pada+sekuens+protein+dengan++menggunakan+metode+pendekatan+machine+learning+yaitu+algoritma+random+forest.++Data+yang+digunakan+adalah+situs+n+glikosilasi+yang+terdiri+dari+data+positif+berjumlah+11.601+sekuens+dan+data+negatif+12.160+sekuens.+Tahapan+yang+dilakukan+pada+penelitian+ini%2C+diantaranya+%3A+cleaning+data+yaitu+menghapus+sekuens+yang+tidak+termasuk+ke+dalam+jenis+asam+amino%2C+fitur+yang+berkaitan+dengan+situs+modifikasi+pasca+translasi+di+ekstraksi%2C+fitur+tersebut+terdiri+dari+statistical+moment+dan+fitur+position+and+composition+dengan+total+fitur+berjumlah+153%2C+pemodelan+random+forest%2C+hingga+pengujian+klasifikasi+menggunakan+10-fold+cross+validation+dan+confusion+matrix.+Setelah+dilakukan+beberapa+percobaan%2C+diperoleh+hasil+pengujian+klasifikasi+random+forest+dengan+akurasi+tertinggi+sebesar+92%2C29%25%2C+sensitivitas+97%2C71%25%2C+spesifisitas+87%2C12%25%2C+serta+MCC+sebesar+85%2C12%25.%0D%0A%0D%0A%0D%0AModified+protein+is+a+protein+whose+structure+has+changed.+Glycosylation+is+one+of+the+most+complex+protein+modifications+in+eukaryotic+cells.+Glycosylation+plays+an+important+role+in+biological+functions%2C+such+as+antigen+recognition%2C+cell-cell+communication%2C+gene+expression%2C+and+protein+folding.+In+identifying+glycosylation+sites+on+protein+sequences+can+be+done+experimentally%2C+but+it+is+a+difficult+challenge+because+it+requires+a+long+time+and+is+expensive.+Several+researchers+have+proposed+using+computational+methods+to+identify+glycosylation+sites%2C+so+that+in+this+study+a+classifier+was+carried+out+to+identify+glycosylation+sites+in+protein+sequences+using+a+machine+learning+approach%2C+namely+the+random+forest+algorithm.+The+data+used+is+site+n+glycosylation+consisting+of+positive+data+totaling+11%2C601+sequences+and+negative+data+12%2C160+sequences.+The+stages+carried+out+in+this+study%2C+including%3A+cleaning+data%2C+namely%3A+delete+sequences+that+do+not+belong+to+this+type+of+amino+acid%2C+features+related+to+post-translation+modification+sites+are+extracted%2C+these+features+consist+of+statistical+moment+and+position+and+composition+features+with+a+total+of+153+features%2C+random+forest+modeling%2C+to+classification+testing+using+10-fold+cross+validation+and+confusion+matrix.+After+several+experiments%2C+the+results+of+the+random+forest+classification+test+were+obtained+with+the+highest+accuracy+of+92.29%25%2C+sensitivity+of+97.71%25%2C+specificity+of+87.12%25%2C+and+MCC+of+85.12%25.&rft.publisher=Matematika+dan+Ilmu+Pengetahuan+Alam&rft.date=2022-09-28&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F67034%2F1%2FABSTRAK%2520%2528ABSTRACT%2529.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F67034%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F67034%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++Suci+Hikmawati%2C+1817051033++(2022)+Klasifikasi+Post+Translational+Modification+N+Glikosilasi+pada+Sequence+Protein+menggunakan+Algoritma+Random+Forest.++Matematika+dan+Ilmu+Pengetahuan+Alam%2C+Universitas+Lampung.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F67034%2F