?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PENERAPAN+METODE+GEOGRAPHICALLY+WEIGHTED+REGRESSION%0D%0A(GWR)+PADA+PERTUMBUHAN+EKONOMI+SUMATERA+UTARA+TAHUN%0D%0A%0D%0A2022&rft.creator=AFRA+%2C+NABILLA+ZURY&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.subject=570+Biologi&rft.description=Regresi+yang+baik+memenuhi+uji+asumsi+klasik+dan+menghasilkan+Best%0D%0ALinear+Unbiased+Estimator+(BLUE)%2C+tetapi+metode+Ordinary+Least+Square+(OLS)%0D%0Atidak+mampu+mempertimbangkan+variasi+spasial+antar+wilayah%2C+sehingga%0D%0Aparameter+yang+dihasilkan+konstan+untuk+semua+lokasi.+Data+spasial+menunjukkan%0D%0Abahwa+variabel+prediktor+yang+sama+dapat+menghasilkan+respon+berbeda+di+lokasi%0D%0Aberbeda+(heterogenitas+spasial).+Geographically+Weighted+Regression+(GWR)%0D%0Amengatasi+keterbatasan+ini+dengan+mempertimbangkan+faktor+letak+geografis%0D%0Auntuk+mengeksplorasi+heterogenitas+spasial%2C+memberikan+parameter+yang+berlaku%0D%0Asecara+lokal+dan+lebih+akurat.%0D%0APenelitian+ini+membahas+penggunaan+GWR+dalam+analisis+kinerja%0D%0Apertumbuhan+ekonomi+Sumatera+Utara+tahun+2022+dengan+menggunakan+Produk%0D%0ADomestik+Regional+Bruto+(PDRB)+sebagai+indikator+utama.+Penelitian+ini%0D%0Amembandingkan+hasil+analisis+GWR+dengan+fungsi+pembobot+fixed+bisquare%0D%0Adengan+regresi+linear+berganda+berdasarkan+hasil+uji+signifikansi%2C+nilai+AIC%2C+dan%0D%0Aadjusted-R2.%0D%0AHasil+penelitian+menunjukkan+bahwa+empat+variabel+independen%2C+yaitu%0D%0Arata-rata+lama+sekolah%2C+tingkat+partisipasi+angkatan+kerja%2C+pendapatan+asli+daerah%2C%0D%0Adan+jumlah+distribusi+bahan+bakar+minyak+memiliki+dampak+besar+terhadap%0D%0Aperkembangan+ekonomi+di+Sumatera+Utara.+Penelitian+ini+mengindikasikan+bahwa%0D%0Amodel+GWR+dengan+kernel+fixed+bisquare+lebih+efektif+dalam+memodelkan+PDRB%0D%0Adi+Provinsi+Sumatera+Utara+pada+tahun+2022+karena+terbukti+signifikan+pada+uji%0D%0ABFC02%2C+memiliki+nilai+AIC+yang+lebih+kecil%2C+serta+adjusted-R2+sebesar+99%2C28%25.%0D%0A%0D%0AABSTRACT%0D%0A%0D%0AAPPLICATION+OF+THE+GEOGRAPHICALLY+WEIGHTED+REGRESSION%0D%0A(GWR)+METHOD+TO+THE+ECONOMIC+GROWTH+OF+NORTH+SUMATRA%0D%0A%0D%0AIN+2022%0D%0A%0D%0ABy%0D%0A%0D%0AAFRA+NABILLA+ZURY%0D%0A%0D%0AA+good+regression+model+meets+the+classical+assumption+tests+and%0D%0Aproduces+the+Best+Linear+Unbiased+Estimator+(BLUE).+However%2C+the+Ordinary%0D%0ALeast+Square+(OLS)+method+cannot+account+for+spatial+variation+between+regions%2C%0D%0Aresulting+in+constant+parameters+for+all+locations.+Spatial+data+shows+that+the+same%0D%0Apredictor+variables+can+produce+different+responses+in+different+locations+(spatial%0D%0Aheterogeneity).+Geographically+Weighted+Regression+(GWR)+addresses+this%0D%0Alimitation+by+considering+geographic+factors+to+explore+spatial+heterogeneity%2C%0D%0Aproviding+locally+applicable+and+more+accurate+parameters.%0D%0AThis+study+discusses+the+use+of+GWR+in+analyzing+the+economic+growth%0D%0Aperformance+of+North+Sumatra+in+2022%2C+using+Gross+Regional+Domestic+Product%0D%0A(GRDP)+as+the+main+indicator.+The+study+compares+the+results+of+GWR+with+a%0D%0Afixed+bisquare+weighting+function+to+multiple+linear+regression+based+on%0D%0Asignificance+tests%2C+AIC+values%2C+and+adjusted-R2.%0D%0AThe+results+show+that+four+independent+variables%2C+namely+average+years+of%0D%0Aschooling%2C+labor+force+participation+rate%2C+local+revenue%2C+and+the+amount+of+fuel%0D%0Adistribution%2C+have+a+significant+impact+on+economic+development+in+North%0D%0ASumatra.+This+study+indicates+that+the+GWR+model+with+a+fixed+bisquare+kernel+is%0D%0Amore+effective+in+modeling+GRDP+in+North+Sumatra+Province+in+2022+because+it%0D%0A%0D%0Ais+proven+significant+in+the+BFC02+test%2C+has+a+smaller+AIC+value%2C+and+an+adjusted-%0D%0AR2+of+99.28%25.&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-06-13&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F84225%2F1%2F1.%2520ABSTRAK%2520-%2520Afra%2520Nabilla.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F84225%2F2%2F2.%2520SKRIPSI%2520FULL%2520-%2520Afra%2520Nabilla.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F84225%2F3%2F3.%2520SKRISPSI%2520TANPA%2520BAB%2520PEMBAHASAN%2520-%2520Afra%2520Nabilla.pdf&rft.identifier=++AFRA+%2C+NABILLA+ZURY++(2024)+PENERAPAN+METODE+GEOGRAPHICALLY+WEIGHTED+REGRESSION+(GWR)+PADA+PERTUMBUHAN+EKONOMI+SUMATERA+UTARA+TAHUN+2022.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F84225%2F