PEMODELAN FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA DI SUMATERA UTARA MENGGUNAKAN REGRESI SPASIAL

Authors

  • Asmita Tumanggor universitas negeri medan
  • Elmanani Simamora Universitas Negeri Medan

DOI:

https://doi.org/10.55606/jurrimipa.v2i2.822

Keywords:

Spatial Dependence, Human Development Index, Spatial Regression, Spatial Autoregressive Model (SAR).

Abstract

The quality of life in North Sumatra currently still needs improvement, where poverty rates and human development are still lagging. These problems can be reflected in the community welfare indicator, namely the Human Development Index (IPM). One of these problems can be solved by knowing the factors that determine the Human Development Index in North Sumatra. The Human Development Index is suspected to contain elements of spatial dependency, therefore in this study the spatial regression method will be used with a spatially dependent effect model. The results of the analysis and discussion obtained are that the SAR model is the appropriate model in the case of the Human Development Index in North Sumatra. Predictor variables that significantly influence the Human Development Index in North Sumatra are Pure Enrollment Rate (APM) at Senior High School level , Poverty Rate , Open Unemployment Rate , and PDRB on the basis of price .

References

Anselin, L. (1998). Spatial Econometrics: Methods and Models. Dordrecht: Kluwer.

Arbia, G. (2014). A Primer for Spatial Econometrics With Application in R. New York : St Martin's Press LLC.

BPS. (2021). Indeks Pembangunan Manusia Sumatera Utara 2021. Medan: BPS.

Case, A. (1992). Neighborhood Influence and Techological Change. Regional Science and Urban Economics, 22(3) : 491 – 508.

Dewanto, T. F. (2018). Model Regresi Probit Spasial dengan Pendekatan Recursive Importance Sampling (Studi Kasus: Indeks Kesehatan Tahun 2016 di Pulau Papua).Tesis, Ilmu Statistika, Institut Teknologi Sepuluh Nopember, Surabaya.

Djuraidah, Anik. (2020). Monograph Penerapan dan Pengembangan Regresi Spasial dengan Studi Kasus pada Kesehatan, Sosial, dan Ekonomi. Bogor : IPB Press.

Fahmi, E. F. F. (2016). Model Regresi Probit Spasial pada Indeks Pembangunan Manusia (IPM) di Jawa Timur. Tesis, Ilmu Statistika, Institut Teknologi Sepuluh Nopember, Surabaya.

Inna, F. F., Hari, W. & Agus M. S. (2017). Analisis Regresi Spasial dan Pola Penyebaran pada Kasus Demam Berdarah Dengue (DBD) di Provinsi Jawa Tengah. Media Statistika, 10(2): 95-105.

LeSage, J. P. (1999). The Theory and Practice of Spatial of Spatial Econometrics. Ohio Asia pacific Press.

McMillen, D. P. (1992). Probit with Spatial Autocorrelation. Journal of Regional

Science, 32(3): 335-348.

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Published

2023-10-30

How to Cite

Asmita Tumanggor, & Elmanani Simamora. (2023). PEMODELAN FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA DI SUMATERA UTARA MENGGUNAKAN REGRESI SPASIAL. JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM, 2(2), 01–16. https://doi.org/10.55606/jurrimipa.v2i2.822