?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PERBANDINGAN+METODE+GATED+RECURRENT+UNIT+(GRU)+DAN%0D%0AEXTREME+GRADIENT+BOOSTING+(XGBOOST)+DALAM%0D%0AMEMPREDIKSI+PENUTUPAN+HARGA+SAHAM+PT+GARUDAFOOD%0D%0A%0D%0APUTRA+PUTRI+JAYA+TBK&rft.creator=HAPPY%2C+NUR+AZIZAH&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.subject=510+Matematika&rft.description=Time+series+analysis+has+become+an+important+method+in+understanding+and%0D%0Apredicting+stock+price+behavior+in+financial+markets.+GRU+and+XGBoost+are%0D%0Amethods+that+can+be+used+to+predict+stock+prices.+GRU+is+one+of+the+RNN+models%0D%0Athat+has+2+components+that+regulate+the+flow+of+information+called+the+gate%2C%0D%0Anamely+the+update+gate+and+the+reset+gate%2C+while+XGBoost+is+an+ensemble+learning%0D%0Athat+combines+several+decision+tree+models.+The+purpose+of+this+research+is+to%0D%0Acompare+the+two+methods+in+predicting+the+closing+stock+price+of+PT+Garudafood%0D%0APutra+Putri+Jaya+Tbk.+In+this+study%2C+data+splitting+was+carried+out+using+several%0D%0Aratios%2C+namely+90%3A10%2C+80%3A20%2C+and+70%3A30.+And+produced+the+best+model+in+the+GRU%0D%0Amethod+with+90%3A10+data+splitting+which+obtained+a+MAPE+value+of+1%25+and+RMSE%0D%0Aof+6.42.+So+it+can+be+concluded+that+the+use+of+the+GRU+method+is+better+than%0D%0AXGBoost+to+predict+the+closing+stock+price+of+PT+Garudafood+Putra+Putri+Jaya%0D%0ATbk.+because+it+produces+smaller+MAPE+and+RMSE+values.%0D%0A%0D%0AKeywords%3A+Time+Series+Analysis%2C+Stocks%2C+Gated+Recurrent+Unit%2C+Extreme%0D%0AGradient+Boosting%2C+Mean+Absolute+Persentage+Error%2C+Root+Mean%0D%0ASquared+Error.%0D%0A%0D%0AAnalisis+deret+waktu+telah+menjadi+metode+yang+penting+dalam+memahami+dan%0D%0Amemprediksi+perilaku+harga+saham+di+pasar+keuangan.+GRU+dan+XGBoost+adalah%0D%0Ametode+yang+dapat+digunakan+untuk+melakukan+prediksi+harga+saham.+GRU%0D%0Amerupakan+salah+satu+medel+RNN+yang+mempunyai+2+komponen+pengatur+alur%0D%0Ainformasi+yang+disebut+sebagai+gate+yaitu+update+gate+dan+reset+gate%2C+sedangkan%0D%0AXGBoost+merupakan+salah+satu+ensemble+learning+yang+mengkombinasikan%0D%0Abeberapa+model+decision+tree.+Tujuan+penelitian+ini+untuk+membandingkan+kedua%0D%0Ametode+tersebut+dalam+memprediksi+penutupan+harga+saham+PT+Garudafood+Putra%0D%0APutri+Jaya+Tbk.+Pada+penelitian+ini+dilakukan+splitting+data+dengan+menggunakan%0D%0Abeberapa+rasio+yaitu+90%3A10%2C+80%3A20%2C+dan+70%3A30.+Dan+menghasilkan+model+terbaik%0D%0Apada+metode+GRU+dengan+splitting+data+90%3A10+yang+memperoleh+nilai+MAPE%0D%0Asebesar+1%25+dan+RMSE+sebesar+6.42.+Maka+dapat+disimpulkan+penggunaan%0D%0Ametode+GRU+lebih+baik+dibandingkan+dengan+XGBoost+untuk+memprediksi%0D%0Apenutupan+harga+saham+PT+Garudafood+Putra+Putri+Jaya+Tbk.+karena%0D%0Amenghasilkan+nilai+MAPE+dan+RMSE+yang+lebih+kecil.%0D%0A%0D%0AKata+kunci%3A+Analisis+Deret+Waktu%2C+Saham%2C+Gated+Recurrent+Unit%2C+Extreme%0D%0AGradient+Boosting%2C+Mean+Absolute+Persentage+Error%2C+Root+Mean%0D%0ASquared+Error.&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-07-11&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83570%2F1%2F1.%2520ABSTRAK-ABSTRACT%2520-%2520Happy%2520Nur%2520Azizah.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83570%2F2%2F2.%2520SKRIPSI%2520FULL%2520-%2520Happy%2520Nur%2520Azizah.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83570%2F3%2F3.%2520SKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN%2520-%2520Happy%2520Nur%2520Azizah.pdf&rft.identifier=++HAPPY%2C+NUR+AZIZAH++(2024)+PERBANDINGAN+METODE+GATED+RECURRENT+UNIT+(GRU)+DAN+EXTREME+GRADIENT+BOOSTING+(XGBOOST)+DALAM+MEMPREDIKSI+PENUTUPAN+HARGA+SAHAM+PT+GARUDAFOOD+PUTRA+PUTRI+JAYA+TBK.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F83570%2F