?url_ver=Z39.88-2004&rft_id=1817031078&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=GENERATED+TEXT+DALAM+RESTRUKTURISASI+KETIDAKSEIMBANGAN+DATASET+JUDUL+BERITA+COVID-19+DENGAN+MENGGUNAKAN+MODEL+DEEP+LEARNING&rft.creator=FEBI+SITI+SUTRIA+NINGSIH%2C+1817031078&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.subject=510+Matematika&rft.description=Imbalanced+data+is+a+problem+that+often+occurs+in+classifying.+This+has+the+potential+to+cause+bias+against+the+majority+class.+Oversampling+or+text+generation+is+one+of+the+methods+used+to+overcome+imbalanced+data.+This+study+proposes+the+creation+of+a+synonym-based+text+to+restructure+the+imbalanced+covid-19+online+news+dataset.+Deep+learning+models+(CNN+and+LSTM)+use+the+word+embedding+feature+and+validated+using+the+k-fold+cross+validation+method+for+imbalanced+and+balanced+data.+The+results+showed+that+using+both+imbalanced+and+balanced+data%2C+CNN+achieved+significantly+higher+performance+by+7%25+-+9%25+in+accuracy%2C+precision%2C+recall%2C+and+f1-score+than+LSTM.+Although+the+text+generation+method+is+proven+to+be+able+to+overcome+the+problem+of+data+imbalance%2C+the+text+generation+method+has+a+drawback%2C+namely+that+there+is+often+a+loss+of+semantic+meaning.%0D%0AKeywords%3A+Text+Generation%2C+Imbalanced+Dataset%2C+Deep+Learning%2C+k-Fold+Cross+Validation.%0D%0A%0D%0A%0D%0AImbalanced+data+merupakan+suatu+permasalahan+yang+sering+terjadi+dalam+melakukan+klasifikasi.+Hal+ini+berpotensi+menyebabkan+bias+terhadap+kelas+mayoritas.+Oversampling+atau+text+generation+adalah+salah+satu+metode+yang+digunakan+untuk+mengatasi+imbalanced+data.+Penelitian+ini+mengusulkan+pembuatan+teks+berbasis+sinonim+untuk+merestrukturisasi+dataset+berita+online+covid-19+yang+tidak+seimbang.+Model+deep+learning+(CNN+dan+LSTM)+yang+menggunakan+fitur+word+embedding+dan+divalidasi+menggunakan+metode+k-fold+cross+validation+untuk+imbalanced+dan+balanced+data.+Hasil+penelitian+menunjukkan+bahwa+baik+dengan+menggunakan+data+imbalanced+dan+balanced+data%2C+CNN+mencapai+kinerja+yang+secara+signifikan+lebih+tinggi+sebesar+7%25+-+9%25+dalam+akurasi%2C+presisi%2C+recall%2C+dan+f1-score+daripada+LSTM.+Meskipun+metode+text+generation+terbukti+dapat+mengatasi+masalah+ketidakseimbangan+data%2C+tetapi+metode+text+generation+memiliki+kekurangan+yaitu+sering+terjadi+kehilangan+makna+semantik.%0D%0AKeywords%3A+Text+Generation%2C+Ketidakseimbangan+Data%2C+Deep+Learning%2C+k-Fold+Cross+Validation.&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2022-10-05&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F67757%2F1%2F1.%2520ABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F67757%2F2%2F2.%2520SKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F67757%2F3%2F3.%2520SKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++FEBI+SITI+SUTRIA+NINGSIH%2C+1817031078++(2022)+GENERATED+TEXT+DALAM+RESTRUKTURISASI+KETIDAKSEIMBANGAN+DATASET+JUDUL+BERITA+COVID-19+DENGAN+MENGGUNAKAN+MODEL+DEEP+LEARNING.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F67757%2F