?url_ver=Z39.88-2004&rft_id=1817031024&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=VECTOR+AUTOREGRESSIVE+EXOGENOUS+UNTUK+PERAMALAN+INDEKS+STANDAR+PENCEMARAN+UDARA+PROVINSI+DKI+JAKARTA%0D%0A%0D%0A&rft.creator=FARICHA+SALSABILA+AZZAHRA%2C+1817031024&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.description=Vector+Autoregressive+Exogenous+(VARX)+is+a+multivariate+time+series+data+model+for+modeling+interconnected+endogenous+variables+and+there+are+exogenous+variables+that+affect+endogenous+variables.++The+data+used+in+VARX+is+data+stationary%2C+if+the+data+is+not+stationary%2C+differencing+is+done.+This+study+aims+to+obtain+the+best+model+and+to+forecast+the+standard+index+of+air+pollution+using+VARX+with+endogenous+variables+Ozone+and+Particulate+and+exogenous+variables+Carbon+monoxide+and+Nitrogen+dioxide.+The+results+obtained+are+the+best+model+based+on+the+smallest+AIC%2C+namely+VARX+(2+2)%2C+then+predict+through+the+best+model.%0D%0AKeywords%3A+VARX%2C+Stationary%2C+Endogenous%2C+Exogenous%2C+AIC%0D%0A%0D%0AVector+Autoregressive+Exogenous+(VARX)+adalah+model+data+deret+waktu+multivariate+untuk+memodelkan+variabel+endogen+yang+saling+berhubungan+dan+terdapat+variabel+eksogen+yang+mempengaruhi+variabel+endogen.++Data+yang+digunakan+adalah+data+yang+stasioner%2C+jika+data+tidak+stasioner+dilakukan+differencing.++Penelitian+ini+bertujuan+untuk+memperoleh+model+terbaik+dan+untuk+meramalkan+indeks+standar+pencemaran+udara+menggunakan+VARX+dengan+variabel+endogen+Ozon+dan+Partikulat+serta+variabel+eksogen+Karbon+monoksida+dan+Nitrogen+dioksida.++Hasil+yang+di+dapat+yaitu+model+terbaik+berdasarkan+AIC+terkecil+yaitu+VARX+(2+2)%2C+selanjutnya+meramalkan+melalui+model+terbaik.%0D%0AKata+kunci%3A+VARX%2C+Stasioner%2C+Endogen%2C+Eksogen%2C+AIC%0D%0A&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2022-06-17&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63772%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63772%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63772%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++FARICHA+SALSABILA+AZZAHRA%2C+1817031024++(2022)+VECTOR+AUTOREGRESSIVE+EXOGENOUS+UNTUK+PERAMALAN+INDEKS+STANDAR+PENCEMARAN+UDARA+PROVINSI+DKI+JAKARTA.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F63772%2F