Regrei Ridge : Pemodelan Data Indeks Pembangunan Manusia (IPM) di Provinsi Lampung

Siti Ulfa Nabila, Novian Riskiana Dewi, Wahyu Hidayat Tullah

Abstract


The Human Development Index (HDI) is a measure of the success of human development in a region, both between countries and within regions. To identify the factors influencing HDI, regression analysis can be used. Regression analysis has several assumptions that must be met, one of which is the assumption of multicollinearity. owelvelr, in practicel, mullticollinelarity issulels arel ofteln foulnd in relgrelssion analysis. Mullticollinelarity is a situlation whelrel thelrel is a strong correllation beltweleln indelpelndelnt variablels. Thelrelforel, analysis is neleldeld to addrelss this mullticollinelarity issulel. In this stuldy, ridgel relgrelssion analysis is ulseld to addrelss mullticollinelarity issulels in HDI of Lampulng. In addition, ridgel relgrelssion is also ulseld to deltelrminel how mulch thel indelpelndelnt variablels ulseld affelct HDI in Lampulng. Thel relsullts of this stuldy show that ridgel relgrelssion can ovelrcomel mullticollinelarity issulels in indelpelndelnt variablels of HDI in Lampulng. Factors sulch as lifel elxpelctancy, lelngth of schooling, avelragel schooling, and pelr capita elxpelnditulrel havel a significant positivel elffelct on increlasing HDI in Lampulng.


Keywords


Mullticollinelarity, relgrelssion, ridgel relgrelssion

Full Text:

PDF

References


Badan Pusat Statistik (BPS), Indeks Pembangunan Manusia 2020. Badan Pusat Statistik, 2021.

S. L. Hasibuan, Rujiman, and Sukardi, “Analisis Determinan Indeks Pembangunan Manusia (IPM) di Indonesia,” Jurnal Penelitian Pendidikan Sosial Humaniora, vol. 5, no. 2, pp. 139–141, 2020.

E. K. Kiha, S. Seran, and H. T. Lau, “Pengaruh Jumlah Penduduk, Pengangguran, dan Kemiskinan terhadap Indeks Pembangunan Manusia (IPM) di Kabupaten Belu,” Intelektiva: Jurnal Ekonomi, Sosial & Humaniora, vol. 2, no. 7, pp. 60–84, 2021.

UNDP, Human Development Report 1990. United Nations Development Programme (UNDP), 1990. [Online]. Available: https://doi.org/10.21003/EA.V184-03

B. Mahlberg and M. Obersteiner, “The Human Development Index revisited,” 2001.

S. Anand and A. Sen, “Human development and economic sustainability,” World Dev, vol. 28, no. 12, pp. 2029–2049, 2000.

Badan Pusat Statistik (BPS), Berita Resmi Statistik Indeks Pembangunan Manusia (IPM) Tahun 2022. Badan Pusat Statistik, 2022.

BPS Provinsi Lampung, Berita Resmi Statistik Indeks Pembangunan Manusia (IPM) Lampung Tahun 2022. Badan Pusat Statistik, 2022.

E. A. Hanushek and L. Woessmann, The Economic Impacts of Learning Outcomes: How Education Quality Matters for Growth and Development. Oxford University Press, 2020.

G. K. Uyanık and N. Güler, “A Study on Multiple Linear Regression Analysis,” Procedia Soc Behav Sci, vol. 106, pp. 234–240, 2013, [Online]. Available: https://doi.org/10.1016/j.sbspro.2013.12.027

N. Herawati, K. Nisa, D. Azis, and Nabila, “Ridge Regression for Handling Different Levels of Multicollinearity,” Sci. Int. (Lahore), vol. 30, no. 4, pp. 597–600, 2018.

J. H. Kim, “Multicollinearity and misleading statistical result,” Korean Journal of Aneshesiol, vol. 72, no. 6, pp. 558–559, 2019.

G. Khalaf and M. Iguernane, “Ridge Regression and Ill-conditioning,” Journal of Modern Applied Statistical Methods, vol. 13, no. 2, pp. 355–363, 2014.

A. Bager, M. Roman, M. Algelidh, and B. Mohammed, “Addressing Multicollinearity in Regression Models: A Ridge Regression Application,” 2017. [Online]. Available: https://mpra.ub.uni-muenchen.de/81390/

E. Sulistianingsih, S. Suparti, and D. Ispriyanti, “Pemodelan Indeks Pembangunan Manusia Di Jawa Tengah Menggunakan Metode Regresi Ridge Dan Regresi Stepwise,” Jurnal Gaussian, vol. 11, no. 3, pp. 468–477, 2023, doi: 10.14710/j.gauss.11.3.468-477.

E. Yektiningsih, “Analisis Indeks Pembangunan Manusia (IPM) Kabupaten Pacitan Tahun 2018,” Jurnal Ilmiah Sosio Agribis, vol. 18, no. 2, pp. 32–50, 2018.

L. Anselin, Spatial Econometrics: Methods and Models. Dordrecht, Netherlands: Kluwer Academic Publishers, 1988.

R. K. Paul, “Multicollinearity: Causes, Effects and Remedies.”

N. Zaynun and A. I. Achmad, “Pemodelan Penerimaan Pajak Hotel di Indonesia Tahun 2019 dengan Menggunakan Analisis Regresi Ridge,” Prosiding Statistika, pp. 549–556, 2019.

D. Z. Belsley, E. Kuh, and R. E. Welsch, Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. New York, NY: John Wiley & Sons, 1980.

D. E. Farrar and R. R. Glauber, “Multicollinearity in Regression Analysis: The Problem Revisited,” The Review of Economics and Statistics, vol. 49, no. 1, p. 92, 1967, doi: 10.2307/1937887.

A. Bager, M. Roman, M. Algelidh, and B. Mohammed, “Archive Addressing multicollinearity in regression models : a ridge regression application,” Munich Personal RePEc Archive (MPRA), no. 81390, 2017.

D. C. Montogomery, E. A. Peck, and G. G. Vining, “Introduction to Linear Regression Analysis,” Fifth Edit., Canada: John Wiley & Sons.




DOI: https://doi.org/10.15548/jostech.v4i2.8590

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 JOSTECH Journal of Science and Technology

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