Model Spasial Autoregresif (SAR) Durbin pada Anak Putus Sekolah (APS) yang Mengikuti Ujian Paket C Jenjang SMA Sederajat di Kota Makassar

Nurahdawati, Nurahdawati and Ruliana, Ruliana and Ansari Saleh, Ahmar (2020) Model Spasial Autoregresif (SAR) Durbin pada Anak Putus Sekolah (APS) yang Mengikuti Ujian Paket C Jenjang SMA Sederajat di Kota Makassar. VARIANSI: Journal of Statistics and Its Application on Teaching and Research, 2 (2).

	Text 14630-36951-2-PB Model Spasial Autoregresif (SAR) Durbin.pdf Download (1MB)
	Text Ansari Reviewer_SAR Durbin APS Paket C Makassar.pdf Download (1MB)

Abstract

This research is applied statistical research which aims: (i) To find out the average number of school dropouts (APS) taking the C exam package of high school level in Makassar City; (ii) To find out the SAR Durbin Model of school dropouts (APS) taking the C exam package of high school level in Makassar City; and (iii) To determine the factors that influence of school dropouts (APS) taking the C exam package of high school level in Makassar City. This study used SAR Durbin method (Spatial Autoregressive Durbin method). The results of this study are: (i) APS taking the C exam package of high school level in Makassar City; there are spatial dependencies between sub-districts one with the other unit sub-districts; (ii) APS taking the C exam package of high school level in Makassar City, and (iii) APS taking the C exam package of high school level in Makassar City with the results of the analysis Spatial Durbin Model obtained predictor variables, namely the School Teacher Ratio (X2), and amount of school (X5). While the spatial Lag parameter is obtained by the predictor variable namely Lag School Student Ratio (X1), Lag Poverty level (X4), and Lag amount of school (X5).

Item Type:	Article
Subjects:	KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions:	KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN
Depositing User:	Ansari Saleh Ahmar
Date Deposited:	08 May 2023 10:49
Last Modified:	08 May 2023 10:49
URI:	http://eprints.unm.ac.id/id/eprint/28638

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