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All Journal Jurnal Aplikasi Statistika & Komputasi Statistik
E. R. Wuritimur
Universitas Pattimura
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Analisis Jumlah Penduduk Miskin di Provinsi Maluku dengan Menggunakan Pendekatan Regresi Spasial Salmon Notje Aulele; V. Y. I. Ilwaru; E. R. Wuritimur; M. Y. Matdoan
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 13 No 2 (2021): Jurnal Aplikasi Statistika dan Komputasi Statistik
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v13i2.294

Abstract

Maluku Province is in the 4th poorest province in Indonesia with a poverty rate of 18.45% of the total population in Maluku. The spatial aspect needs to be studied because the characteristics of each area or region are different so that information about the characteristics of this location can be captured using a spatial regression model. The purpose of this study is to examine the characteristics of poverty in Maluku Province, then determine the factors that affect poverty in Maluku province using spatial regression, and get the best model to model poverty in Maluku Province. The results showed that the average percentage of poor people in Maluku province is 22.71%, where Southwest Maluku Regency has the highest percentage of 31.01% and Kota Ambon has the lowest percentage of 4.64%. While the significant factors affecting poverty in Maluku province by using spatial regression are the percentage of households (rt) whose cooking fuel from wood (X1), percentage of non-school-aged 7 - 24 years (X2) (X3), percentage of the unemployed (TP) (X4) and percentage of labor force participation rate (X5) and the best model obtained to model poverty in Maluku Province is Spatial Lag Model.
Co-Authors Aulele, Salmon Notje M. Y. Matdoan V. Y. I. Ilwaru