| dc.contributor |
Fakultas Matematika dan Ilmu Pengetahuan Alam |
|
| dc.creator |
Rofifah, Hanifah Nur |
|
| dc.creator |
Suwanda, Suwanda |
|
| dc.date |
2021-01-22 |
|
| dc.date.accessioned |
2021-03-15T03:45:35Z |
|
| dc.date.available |
2021-03-15T03:45:35Z |
|
| dc.identifier |
http://karyailmiah.unisba.ac.id/index.php/statistika/article/view/26308 |
|
| dc.identifier |
10.29313/.v7i1.26308 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/28877 |
|
| dc.description |
Abstract. This research discusses the functional model between variables the percentage of the poor and the rate of economic growth, human development index, and population growth rate in Banten Province. The analysis used in this study was the Regression of Data Panel. The results showed that the best model with panel data regression is with fixed effect model estimation with fixed slope coefficient and different interception in individual and time. From the model that has been obtained is every addition of one percent of the rate of economic growth, it will increase the percentage of the poor by 0.543650 percent. Each addition of one percent of the human development index, it will reduce the percentage of the poor by 0.806963 percent. Each addition of one percent of the population growth rate, it will increase the percentage of the poor population by 9.316902 percent. Variables that have a significant effect on the percentage of poor people are variable rates of population growth.Keywords: Data Panel, Regression Method, Fixed Effect Model, percentage of the poorAbstrak. Penelitian ini membahas model fungsional antara variabel persentase penduduk miskin dengan laju pertumbuhan ekonomi, indeks pembangunan manusia, dan laju pertumbuhan penduduk di Provinsi Banten. Analisis yang digunakan dalam penelitian ini adalah Regresi Data Panel. Hasil penelitian menunjukkan bahwa model terbaik dengan regresi data panel yaitu dengan estimasi Fixed Effect Model dengan koefisien slope tetap dan intersep berbeda pada individu dan waktu. Dari model yang telah didapatkan adalah setiap penambahan satu persen laju pertumbuhan ekonomi, maka akan memperbesar persentase penduduk miskin sebesar 0,543650 persen. Setiap penambahan satu persen indeks pembangunan manusia, maka akan memperkecil persentase penduduk miskin sebesar 0,806963 persen. Setiap penambahan satu persen laju pertumbuhan penduduk, maka akan memperbesar persentase penduduk miskin sebesar 9,316902 persen. Variabel yang berpengaruh secara signifikan terhadap persentase penduduk miskin adalah variabel laju pertumbuhan penduduk.Kata Kunci: Data Panel, Metode Regresi, Model Fixed Effect, Persentase Penduduk Miskin |
|
| dc.format |
application/pdf |
|
| dc.language |
eng |
|
| dc.publisher |
Universitas islam Bandung |
|
| dc.relation |
http://karyailmiah.unisba.ac.id/index.php/statistika/article/view/26308/pdf |
|
| dc.rights |
Copyright (c) 2021 Prosiding Statistika |
|
| dc.source |
Prosiding Statistika; Vol 7, No 1, Prosiding Statistika (Februari,2021); 270-274 |
|
| dc.source |
Prosiding Statistika; Vol 7, No 1, Prosiding Statistika (Februari,2021); 270-274 |
|
| dc.source |
2460-6456 |
|
| dc.source |
10.29313/.v7i1 |
|
| dc.subject |
Statistika |
|
| dc.subject |
Data Panel, Metode Regresi, Model Fixed Effect, Persentase Penduduk Miskin |
|
| dc.title |
Pemodelan Faktor Kemiskinan dengan Regresi Data Panel di Provinsi Banten |
|
| dc.type |
info:eu-repo/semantics/article |
|
| dc.type |
info:eu-repo/semantics/publishedVersion |
|
| dc.type |
Peer-reviewed Article |
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| dc.type |
Kuantitatif |
|