?url_ver=Z39.88-2004&rft_id=1917031072&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PENERAPAN+METODE+BACKPROPAGATION+NEURAL+NETWORK+(BNN)+UNTUK+MEMPREDIKSI+HARGA+MIYAK+DUNIA%0D%0A&rft.creator=DINDA+AYU+%2C+RACHMADINA&rft.subject=510+Matematika&rft.description=Jarigan+Syaraf+Tiruan+(JST)+merupakan+sistem+pemrosesan+informasi+yang+memiliki+karakteristik+sama+dengan+cara+kerja+sistem+saraf+biologis+manusia.++Salah+satu+JST+yang+sering+digunakan+dalam+melakukan+analisis+prediksi+atau+peramalan+data+runtun+waktu+yaitu+algoritma+Backpropagation+Neural+Network+(BNN).++BNN+adalah+metode+penurunan+gradien+untuk+meminimalkan+galat+yang+memiliki+dua+tahap+perhitungan.++Dengan+menggunakan+metode+BNN+dapat+dilatih+untuk+menganalisa+pola+data+masa+lalu+dengan+output+yang+diinginkan+saat+ini.++Pada+penelitian+ini%2C+metode+BNN+digunakan+untuk+melihat+sebaran+data+masa+lalu+yang+selanjutnya+akan+digunakan+untuk+melihat+harga+minyak+dunia+berdasarkan+sebaran+data+pada+pola+data+masa+lalu.++Berdasarkan+hasil+yang+didapatkan%2C+terlihat+bahwa+metode+BNN+memiliki+peforma+yang+cukup+baik+untuk+menganalisis+data+harga+minyak+dunia.+Ditandai+dengan+adanya+nilai+MSE+yang+didapat+sebesar+0.019.%0D%0A%0D%0AKata+kunci%3A+jaringan+syaraf+tiruan%2C+backpropagation%2C+harga+minyak%0D%0A%0D%0A%0D%0A%0D%0A%0D%0A%0D%0Aabstract%0D%0A%0D%0AArtificial+Neural+Network+(ANN)+is+an+information+processing+system+that+has+the+same+characteristics+as+the+workings+of+the+human+biological+nervous+system.++One+of+them+ANN+that+is+often+used+in+carriying+out+predictive+analysis+or+forecasting+time+series+data+is+the+Backpropagation+Neural+Network+(BNN)+algorithm.++BNN+is+a+gradient+drop+method+to+minimize+errors+that+have+two+calculation+stages.++Using+the+BNN+method+can+be+trained+ti+analyze+past+data+patterns+with+the+desired+output+at+the+present+moment.++In+this+research%2C+BNN+method+is+used+to+see+the+distribution+of+past+data+which+will+then+be+used+to+see+world+oil+prices+based+on+the+distribution+of+data+in+past+data+patterns.++Based+on+the+result+obtained%2C+it+appears+that+the+BNN+method+has+quite+good+performance+for+analyzing+world+oil+price+data.++This+is+indicated+by+the+MSE+value+obtained+at+0.019.%0D%0A%0D%0AKeywords%3A+artificial+neural+network%2C+backpropagation%2C+oil+prices&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-01-19&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F79306%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F79306%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F79306%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++DINDA+AYU+%2C+RACHMADINA++(2024)+PENERAPAN+METODE+BACKPROPAGATION+NEURAL+NETWORK+(BNN)+UNTUK+MEMPREDIKSI+HARGA+MIYAK+DUNIA.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F79306%2F