?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PENERAPAN+MODEL+GENERALIZED+SPACE+TIME+AUTOREGRESSIVE%0D%0A(GSTAR)+PADA+DATA+INFLASI+BEBERAPA+KOTA&rft.creator=ULFA+PUTRI+RAHMANI%2C+1517031135&rft.subject=QA+Mathematics&rft.description=The+most+commonly+used+models+for+space+time+data+are+Vector+autoregressive%0D%0A(VAR)%2C+Space+Time+Autoregressive+(STAR)%2C+and+Generalized+Space+Time%0D%0AAutoregressive+(GSTAR)+models.+For+locations+that+have+different+characteristics%0D%0A(heterogeneous)%2C+GSTAR+model+was+better+used+than+STAR+model.+The+aim+of%0D%0Athis+study+is+to+apply+GSTAR+model+on+time+series+data+from+three+different%0D%0Alocations.+The+data+used+in+this+study+are+the+inflation+data+of+Palembang%2C+Bandar%0D%0ALampung%2C+and+DKI+Jakarta+from+January+2012+to+June+2019.+The+location+weight%0D%0Aused+are+inverse+distance+and+normalized+cross-correlation.+In+this+research%0D%0Aparameter+estimation+was+done+by+the+Generalized+Least+Square+(GLS)+method.%0D%0AFrom+the+analysis+results+obtained+the+best+model+is+GSTAR(11)+with+the+weight%0D%0Aof+inverse+distance+because+it+has+the+smallest+average+RMSE+that+is+0.467767.%0D%0AKeywords+%3A+space+time%2C+VAR%2C+GSTAR%2C+STAR%2C+inflation%2C+GLS%0D%0AModel+yang+umum+digunakan+untuk+data+space+time+adalah+model+Vector%0D%0Aautoregressive+(VAR)%2C+Space+Time+Autoregressive+(STAR)%2C+dan+Generalized%0D%0ASpace+Time+Autoregressive+(GSTAR).+Untuk+lokasi+yang+memiliki+karakteristik%0D%0Ayang+berbeda+(heterogen)%2C+model+GSTAR+lebih+baik+digunakan+dibandingkan%0D%0Amodel+STAR.+Tujuan+dari+penelitian+ini+adalah+menerapkan+model+GSTAR+pada%0D%0Adata+time+series+dari+tiga+lokasi+berbeda.+Data+yang+digunakan+pada+penelitian+ini%0D%0Aadalah+data+inflasi+Palembang%2C+Bandar+Lampung%2C+dan+DKI+Jakarta+bulan+Januari%0D%0A2012+hingga+Juni+2019.+Bobot+Lokasi+yang+digunakan+adalah+bobot+lokasi+invers%0D%0Ajarak+dan+bobot+lokasi+normalisasi+korelasi+silang.+Pada+penelitian+ini+pendugaan%0D%0Aparameter+dilakukan+dengan+metode+Generalized+Least+Square+(GLS).+Dari+hasil%0D%0Aanalisis+diperoleh+model+yang+terbaik+adalah+model+GSTAR(11)+dengan+bobot%0D%0Alokasi+invers+jarak+karena+memiliki+rata-rata+RMSE+terkecil+yaitu+0.467767.+Kata+kunci+%3A+space+time%2C+VAR%2C+GSTAR%2C+STAR%2C+inflasi%2C+GLS&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2019&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F54750%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F54750%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F54750%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++ULFA+PUTRI+RAHMANI%2C+1517031135++(2019)+PENERAPAN+MODEL+GENERALIZED+SPACE+TIME+AUTOREGRESSIVE+(GSTAR)+PADA+DATA+INFLASI+BEBERAPA+KOTA.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F54750%2F