?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PENERAPAN+METODE+GEOGRAPHICALLY+WEIGHTED+PANEL%0D%0AREGRESSION+PADA+INDEKS+PEMBANGUNAN+MANUSIA%0D%0A%0D%0ADI+INDONESIA+TAHUN+2017-2022&rft.creator=%09Deta+%2C+Erviana+%09&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Linear+regression+is+a+statistical+method+to+examine+the+interaction+between+a%0D%0Aresponse+variable+as+well+as+one+or+more+predictor+variables.+In+a+research%2C+a+unit%0D%0Aof+observation+should+be+studied+over+multiple+time+periods%2C+as+studying+one+unit%0D%0Ain+one+time+period+is+not+enough.+Therefore%2C+a+statistical+approach+called+panel%0D%0Aregression+analysis+was+created+to+integrate+cross-section+data+and+time+series%0D%0Adata.+But+in+reality%2C+differences+in+conditions+between+locations+are+influenced+by%0D%0Aspatial+effects+that+cause+spatial+heterogeneity.+The+Geographically+Weighted%0D%0ARegression+(GWR)+method+was+developed+to+overcome+the+problem+of+spatial%0D%0Aheterogeneity.+Based+on+the+advantages+of+both+methods%2C+a+method+that+combines%0D%0Apanel+data+regression+and+GWR+was+developed%2C+namely+Geographically+Weighted%0D%0APanel+Regression+(GWPR).+The+purpose+of+this+study+is+to+determine+the+factors%0D%0Athat+affect+the+human+development+index+(HDI)+in+Indonesia+in+2017-2022+and%0D%0Adetermine+the+best+model+by+comparing+global+regression+and+GWPR+models.%0D%0AThe+GWPR+model+with+adaptive+bisquare+weights+is+the+best+model+with+the%0D%0Asmallest+AIC+value+and+the+largest%0D%0A%0D%0A.+Overall%2C+all+predictor+variables+used+in+this%0D%0Astudy+have+a+significant+effect+on+HDI+at+the+significance+level+of+.+The%0D%0Amodel+equations+and+variables+that+have+a+significant+effect+generated+in+GWPR%0D%0Amodeling+are+different+for+each+province.+Based+on+the+similarity+of+variables%0D%0Aaffecting+HDI+in+provinces+that+are+located+close+together%2C+8+groups+were+formed.%0D%0A%0D%0AKeywords%3A+panel+data+regression%2C+GWR%2C+GWPR%2C+HDI%0D%0ARegresi+linier+merupakan+metode+statistik+untuk+memeriksa+hubungan+antara%0D%0Avariabel+respons+dan+satu+atau+lebih+variabel+prediktor.+Dalam+sebuah+penelitian%2C%0D%0Asatu+unit+observasi+harus+diteliti+selama+beberapa+periode+waktu%2C+karena%0D%0Amempelajari+satu+unit+dalam+satu+periode+waktu+tidaklah+cukup.+Oleh+karena+itu%2C%0D%0Asebuah+pendekatan+statistik+yang+disebut+analisis+regresi+panel+diciptakan+untuk%0D%0Amengintegrasikan+data+cross-section+dan+data+time+series.+Namun+pada%0D%0Akenyataannya%2C+perbedaan+kondisi+antar+lokasi+dipengaruhi+oleh+efek+spasial+yang%0D%0Amenyebabkan+terjadinya+heterogenitas+spasial.+Dikembangkanlah+metode%0D%0AGeographically+Weighted+Regression+(GWR)+untuk+mengatasi+masalah%0D%0Aheterogenitas+spasial.+Berdasarkan+kelebihan+kedua+metode+tersebut+maka%0D%0Aberkembanglah+suatu+metode+yang+menggabungkan+antara+regresi+data+panel+dan%0D%0AGWR+yaitu+Geographically+Weighted+Panel+Regression+(GWPR).+Tujuan+dari%0D%0Apenelitian+ini+adalah+untuk+mengetahui+faktor-faktor+yang+mempengaruhi+indeks%0D%0Apembangunan+manusia+(IPM)+di+Indonesia+tahun+2017-2022+dan+menentukan%0D%0Amodel+terbaik+dengan+membandingkan+model+regresi+global+dan+GWPR.+Model%0D%0AGWPR+dengan+pembobot+adaptive+bisquare+merupakan+model+terbaik+dengan%0D%0Anilai+AIC+terkecil+dan%0D%0A%0D%0Aterbesar.+Secara+keseluruhan+semua+variabel+prediktor%0D%0Ayang+digunakan+dalam+penelitian+berpengaruh+signifikan+terhadap+IPM+pada+taraf%0D%0Asignifikansi+.+Persamaan+model+dan+variabel+yang+berpengaruh%0D%0Asignifikan+yang+dihasilkan+dalam+pemodelan+GWPR+berbeda+untuk+setiap%0D%0Aprovinsi.+Berdasarkan+kesamaan+variabel+yang+mempengaruhi+IPM+di+provinsi%0D%0Ayang+letaknya+berdekatan+membentuk+8+kelompok.%0D%0AKata+kunci%3A+regresi+data+panel%2C+GWR%2C+GWPR%2C+IPM&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+&rft.date=2024-03-25&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83460%2F1%2F1.%2520ABSTRAK%2520-%2520Deta%2520Erviana.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83460%2F2%2F2.%2520SKRIPSI%2520FULL%2520-%2520Deta%2520Erviana.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83460%2F3%2F3.%2520SKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN-1%2520-%2520Deta%2520Erviana.pdf&rft.identifier=+++Deta+%2C+Erviana+++(2024)+PENERAPAN+METODE+GEOGRAPHICALLY+WEIGHTED+PANEL+REGRESSION+PADA+INDEKS+PEMBANGUNAN+MANUSIA+DI+INDONESIA+TAHUN+2017-2022.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F83460%2F