?url_ver=Z39.88-2004&rft_id=1857031009&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=ANALISIS+REGRESI+LOGISTIK+BINER+TERHADAP+DATA+INDEKS+KEDALAMAN+KEMISKINAN+DI+INDONESIA+TAHUN+2020&rft.creator=REGITA+ELZA+FITRI%2C+1857031009&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Kemiskinan+termasuk+persoalan+serius+yang+banyak+terjadi+di+suatu+negara%2C+baik+negara+berkembang+atau+maju.+Persoalan+ini+perlu+ditanggulangi+oleh+pemerintah%2C+terutama+di+negara+Indonesia+yang+memiliki+jumlah+penduduk+banyak%2C+dan+padat.+Ketimpangan+kemiskinan+yang+diukur+dari+indeks+kedalaman+kemiskinan+memperlihatkan+angka+condong+ke+stabil+setiap+tahunnya.+karenanya%2C+faktor+penyebab+yang+mempengaruhi+kedalaman+kemiskinan+yang+ada+di+Indonesia+perlu+diketahui.+Penelitian+ini+membahas+mengenai+indeks+kedalaman+kemiskinan+di+Indonesia+tahun+2020+yang+dipengaruhi+oleh+beberapa+faktor.+Analisis+regresi+logistik+biner+digunakan+untuk+menentukan+model+regresi+logistik+biner+terbaik+dan+mengetahui+besarnya+ketepatan+klasifikasi+terhadap+faktor+apa+saja+yang+mempengaruhi+indeks+kedalaman+kemiskinan+yang+ada+di+34+Provinsi+di+Indonesia+pada+tahun+2020.+Masalah+tersebut+dapat+diatasi+dengan+menggunkan+regresi+logistik+biner%2C+karena+variabel+respon+hanya+ada+dua+kategori%2C+yaitu+tingkat+kedalaman+kemiskinan+tinggi%2C+dan+rendah.+Berdasarkan+analisis+diperoleh+kesimpulan+bahwa+variabel+tingkat+pengangguran+terbuka+dan+rata-rata+pengeluaran+per+kapita+selama+satu+bulan+untuk+makanan+berpengaruh+secara+signifikan+pada+pengklasifikasian+indeks+kedalaman+kemiskinan+di+Indonesia+tahun+2020.%0D%0A%0D%0AKata+Kunci%3A+Indeks+Kedalaman+Kemiskinan%2C+Regresi+Logistik+Biner%0D%0A%0D%0A%0D%0A%0D%0A%0D%0AABSTRACT%0D%0A%0D%0APoverty+is+a+serious+problem+that+occurs+in+many+countries%2C+both+developing+and+developed+countries.+This+issue+needs+to+be+addressed+by+the+government%2C+especially+in+countries+with+large+and+dense+populations+such+as+Indonesia.+Poverty+inequality+as+measured+by+the+poverty+depth+index+shows+a+number+that+tends+to+be+stable+from+year+to+year.+Therefore%2C+it%E2%80%99s+necessary+know+the+causal+factors+that+affect+the+depth+of+poverty+in+Indonesia.+This+study+discusses+the+factors+that+affect+the+poverty+depth+index+in+Indonesia+2020+using+binary+logistic+regression+analysis+to+determine+the+best+binary+logistic+regression+model+and+find+out+the+magnitude+of+the+classification+accuracy+of+what+factors+affect+the+poverty+depth+index+in+34+provinces+in+Indonesia+2020.+This+problem+can+be+overcome+by+using+binary+logistic+regression+because+the+response+variable+only+consists+of+two+categories%2C+namely+high+and+low+poverty+depth.+Based+on+the+analysis%2C+it+can+be+concluded+that+the+open+unemployment+rate+variable+and+the+average+expenditure+per+capita+for+one+month+for+food+have+a+significant+effect+on+the+classification+of+the+poverty+depth+index+in+Indonesia+2020%0D%0A%0D%0AKeywords%3A+Underdeveloped+Region%2C+Binary+Logistic+Regression&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2022-06-06&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63363%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63363%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63363%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++REGITA+ELZA+FITRI%2C+1857031009++(2022)+ANALISIS+REGRESI+LOGISTIK+BINER+TERHADAP+DATA+INDEKS+KEDALAMAN+KEMISKINAN+DI+INDONESIA+TAHUN+2020.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F63363%2F