?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PEMODELAN+REGRESI+DATA+PANEL+RANDOM+EFFECT+PADA%0D%0AFAKTOR-FAKTOR+YANG+MEMPENGARUHI+TINGKAT+KEMISKINAN%0D%0ADI+PULAU+SUMATERA+MENGGUNAKAN+METODE+GENERALIZED%0D%0A%0D%0ALEAST+SQUARE&rft.creator=SISILIA%2C+AMARA&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.subject=510+Matematika&rft.description=Model+regresi+data+panel+adalah+model+yang+digunakan+untuk+mengetahui+pengaruh%0D%0Asatu+atau+beberapa+peubah+independen+terhadap+suatu+peubah+dependen+dengan%0D%0Astruktur+data+berupa+data+panel.+Data+panel+merupakan+kombinasi+dari+data+cross%0D%0Asection+dan+time+series.+Tujuan+penelitian+ini+adalah+untuk+menganalisis+pengaruh%0D%0Adari+Pengeluaran+Perkapita+disesuaikan%2C+Tingkat+Pengangguran+Terbuka%2C+dan+Rata%0D%0ARata+Lama+Sekolah+terhadap+Tingkat+kemiskinan+di+Pulau+Sumatera.+Setiap%0D%0Avariabel+independen+pada+masing-masing+provinsi+dilakukan+peramalan%0D%0Amenggunakan+analisis+trend.+Hasil+peramalan+tersebut+disubstitusikan+ke+dalam%0D%0Amodel+regresi+data+panel+yang+telah+diperoleh+untuk+meramalkan+tingkat%0D%0Akemiskinan+pada+tahun+2023-2025.+Hasil+dari+penelitian+ini+didapatkan+model%0D%0Aregresi+data+panel+untuk+memodelkan+Tingkat+Kemiskinan+di+Pulau+Sumatera+tahun%0D%0A2015-2022+adalah+Random+Effect+Model+(REM)+dengan+estimasi+GLS+dimana%0D%0Avariabel+Pengeluaran+Perkapita+disesuaikan%2C+variabel+Tingkat+Tengangguran%0D%0ATerbuka%2C+dan+variabel+Rata-Rata+Lama+Sekolah+mampu+menjelaskan+variabel%0D%0Atingkat+kemiskinan+di+Pulau+Sumatera+sebesar+73%2C38%25+sedangkan+sisanya+sebesar%0D%0A26%2C62%25+dijelaskan+oleh+variabel+lain+diluar+model.+Dengan+model+persamaan+hasil%0D%0Aestimasi+yaitu+%C5%B6%0D%0A%0D%0Ait+%3D+25%2C7186+%E2%88%92+0%2C0008X1it+%2B+0%2C1125X2it+%E2%88%92+0%2C7977X3it.+Hasil%0D%0Aperamalan+menunjukan+bahwa+tingkat+kemiskinan+pada+tahun+2023-2025%0D%0Amengalami+penurunan+pada+beberapa+provinsi+dan+juga+mengalami+kenaikan+di%0D%0Aprovinsi+lainnya.%0D%0A%0D%0AKata+kunci%3A+data+panel%2C+tingkat+kemiskinan%2C+random+effect+model%2C+analisis+trend%0D%0A%0D%0AThe+panel+data+regression+model+is+a+model+used+to+determine+the+influence+of+one%0D%0Aor+several+independent+variables+on+a+dependent+variable+with+a+data+structure+in+the%0D%0Aform+of+panel+data.+Panel+data+is+a+combination+of+cross+section+and+time+series+data.%0D%0AThe+aim+of+this+research+is+to+analyze+the+influence+of+adjusted+per+capita%0D%0Aexpenditure%2C+open+unemployment+rate%2C+and+average+length+of+schooling+on+the%0D%0Apoverty+level+on+the+island+of+Sumatra.+Each+independent+variable+in+each+province%0D%0Ais+forecasted+using+trend+analysis.+The+forecasting+results+are+substituted+into+the%0D%0Apanel+data+regression+model+that+has+been+obtained+to+predict+the+poverty+level+in%0D%0A2023-2025.+The+results+of+this+research+obtained+a+panel+data+regression+model+to%0D%0Amodel+the+level+of+poverty+on+the+island+of+Sumatra+in+2015-2022%2C+namely+the%0D%0ARandom+Effect+Model+(REM)+with+GLS+estimation+where+the+Per+Capita%0D%0AExpenditure+variable+is+adjusted%2C+the+Open+Unemployment+Rate+variable%2C+and+the%0D%0AAverage+Years+of+Schooling+variable+are+able+to+explain+The+poverty+level+variable%0D%0Aon+Sumatra+Island+is+73%2C38%25+while+the+remaining+26.62%25+is+explained+by+other%0D%0Avariables+outside+the+model.+With+the+equation+model%2C+the+estimation+results%0D%0Aare%3A%C5%B6%0D%0Ait+%3D+25%2C7186+%E2%88%92+0%2C0008X1it+%2B+0%2C1125X2it+%E2%88%92+0%2C7977X3it.+The+forecasting%0D%0Aresults+show+that+the+poverty+rate+in+2023-2025+has+decreased+in+some+provinces%0D%0Aand+also+increased+in+others.%0D%0A%0D%0AKata+kunci+%3A+panel+data%2C+poverty+level%2C+random+effect+model%2C+trend+analysis&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-07-09&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F84569%2F1%2F1.%2520ABSTRAK%2520-%2520ABSTRACT%2520-%2520Ema%2520Waty.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F84569%2F2%2F2.%2520SKRIPSI%2520FULL%2520-%2520Ema%2520Waty.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F84569%2F3%2F3.%2520SKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN%2520-%2520Ema%2520Waty.pdf&rft.identifier=++SISILIA%2C+AMARA++(2024)+PEMODELAN+REGRESI+DATA+PANEL+RANDOM+EFFECT+PADA+FAKTOR-FAKTOR+YANG+MEMPENGARUHI+TINGKAT+KEMISKINAN+DI+PULAU+SUMATERA+MENGGUNAKAN+METODE+GENERALIZED+LEAST+SQUARE.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F84569%2F