Pemodelan Regresi Global (Glm) dan Regresi Spasial (Sar Dan Sdm) Pada Kasus Indeks Pembangunan Manusia Di Provinsi Kalimantan Selatan

Ana Marliana

Abstract


The Human Development Index (HDI) is a parameter that functions to assess the success of the quality of human life. The factors used in the research are the severity of poverty, population density and net participation rate. The research carried out aims to see what factors influence the HDI in South Kalimantan Province in 2022, the HDI value for South Kalimantan Province is below the Indonesian HDI value and quite a few regencies/cities in South Kalimantan Province have HDI values below the HDI value. Indonesia. The statistical analysis used is a spatial approach, where the SAR and HR spatial regression models will be searched. The Global Regression Model (GLM) obtained in this study is  ,  while the Spatial Autoregressive (SAR) model is   and Spatial Durbin Model is The best model that can be obtained is the Spatial Durbin Model (SDM) with an AIC value of 52,82654 and an  value of 95,86%.


Full Text:

PDF

References


United Nations Development Programme (UNDP), U. N. (1990). Global Human Development Report. Human Resources Department.

Anselin, L. (1999). Spatial Econometrics. Dallas: University of Texas.

Breusch, T., & Pagan, A. R. (1979). A Simple Test of Heteroscedasticity and Random Coefficient Variation. J.Econ.Soc, 1287-1294.

Draper, N. R., & Smith, H. (1992). Analisis Regresi Terapan (Terjemahan Bambang Sumantri). Jakarta: Gramedia.

Fatati, I. F., Wijayanto, H., & Soleh, A. M. (2017). Analisis Regresi Spasial dan Pola Penyebaran pada Kasus Demam Berdarah Dengue (DBD) di provinsi Jawa Tengah. Media Statistika, 95-105.

Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression:The Analysis of Spatially Varying Relationships. USA: Wiley.

LeSage, J. P. (1999). The Theory and Practice of Spatial Econometrics. University of Taledo.

LeSage, J., & Pace, R. K. (2009). Spatial Econometrics. Boca Ration: R Press.

Lokang, Y. P., & Dwiatmoko, I. A. (2019). Analisis Regresi Spasial Durbin untuk Menganalisis Faktor-Faktor yang berhubungan dengan Persentase Penduduk Miskin. Jurnal Ilmiah Matrik, 118-127.

Nor, M., & Nasruddin. (2019). Analisis Pengaruh Pengeluaran Pemerintah di Sektor Pendidikan dan Kesehatan terhadap Indeks Pembangunan Manusia Provinsi Kalimantan Selatan. Jurnal Ilmu Ekonomi dan Pembangunan (JIEP), 2(1), 33-45.

Rosa, M., Maiyastri, & Yozza, H. (2020). Pemodelan Indeks Pembangunan Manusia Menggunakan Analsisi Regresi Spasial Di Provinsi Jawa Timur. Jurnal Matematika UNAND, 347-356.

Suyono. (2015). Analisis Regresi untuk Penelitian. Yogyakarta: Deepublish.

Walpole, R. E., Myers, R. H., Myers, S. L., & Ye, K. (2012). Probability & Statistics for Engineers Scientists. Boston: Prentice Hall.

Widarjono. (2009). Ekonometrika Pengantar dan Aplikasinya, Edisi Ketiga. Yogyakarta: Ekonisia.

Wuryandari, T., Hoyyi, A., Kusumawardani, D. S., & Rahmawati, D. (2014). Identifikasi Autokorelasi Spasial Pada Jumlah pengangguran Di Jawa Tengah Menggunakan Indeks Moran. Media Statistika, 7(1), 1-10.

Yasin, H., Warsito, B., & Hakim, A. R. (2020). Regresi Spasial (Aplikasi dengan R). Pekalongan: Wade Group.




DOI: https://doi.org/10.20527/ragam.v2i2.11614

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

RAGAM: Journal of Statistics and Its Application 

Program Studi Statistika, Fakultas MIPA, Universitas Lambung Mangkurat
Jalan A. Yani Km.36, Kampus ULM Banjarbaru, Kalimantan Selatan, Indonesia 70714

e-mail: [email protected]
website: https://ppjp.ulm.ac.id/journals/index.php/ragam

 

Lisensi Creative Commons


RAGAM: Journal of Statistics and Its Application is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.