Open access Journal SINTA 3
MODELING POVERTY IN WEST JAVA PROVINCE USING NEGATIVE BINOMIAL REGRESSION WITH PENALIZED SMOOTHLY CLIPPED ABSOLUTE DEVIATION
BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 19 No. 4 (2025) · pp. 2557–2570
- ISSN
- 2615-3017, 1978-7227
- Published
- 2025-09-01
- Publisher
- PATTIMURA UNIVERSITY
- Language
- eng
Abstract
The number of poor people is an example of discrete or count data. One commonly used regression model for count responses is the Negative Binomial regression. Regression modeling with many predictor variables results in the problem of multicollinearity. This condition causes the parameter estimator to become unstable. One method to overcome this problem is to use the penalty function to optimize the selection of predictor variables. This study aims to analyze the factors influencing the number of poor people in West Java Province using Negative Binomial regression with the Smoothly Clipped Absolute Deviation (SCAD) penalty function. The research data was sourced from the Central Bureau of Statistics in 2022, covering 27 districts/cities in West Java Province with 21 predictor variables. The method applied selects variables and estimates parameters simultaneously in the Negative Binomial regression model. Based on the AIC value, it was found that the Negative Binomial penalized SCAD model (AIC = 628.12) had better performance than the Negative Binomial regression model (AIC = 634.34). The Negative Binomial penalized SCAD regression model yielded five significant predictor variables with value of 92.8%. This model is simpler than the Negative Binomial regression model with six predictor variables. The regional minimum wage, number of cooperatives, percentage of the population who have health insurance, the pure college enrollment rate, and non-food expenditure are important variables as factors affecting the number of poor people in West Java Province.
Collaboration network of the authors
26 authors · 90 co-authorship links · 42 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Jakarta
- IPB University
- Badan Pusat Statistik
- Al-Azhar University
- Politeknik Statistika STIS
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Bagus Sumargo | State University of Jakarta | 3 |
| Irman Firmansyah | IPB University | 2 |
| Nilam Novita Sari | State University of Jakarta | 2 |
| Bagus Sartono | IPB University | 1 |
| Khairil Anwar Notodiputro | IPB University | 1 |
| INDAHWATI INDAHWATI | IPB University | 1 |
| Rifa Kamilia | State University of Jakarta | 1 |
| Faroh Ladayya | State University of Jakarta | 1 |
| Rahadian Wahyu | State University of Jakarta | 1 |
| Ibnu Hadi | State University of Jakarta | 1 |
| Asep Anwar Nugraha | IPB University | 1 |
| Mulyono Mulyono | State University of Jakarta | 1 |
| Felia Aidah Nuriza | Badan Pusat Statistik | 1 |
| Kadir Kadir | Badan Pusat Statistik | 1 |
| Dena Safariza | State University of Jakarta | 1 |
| Munawar Asikin | Al-Azhar University | 1 |
| Danu Umbara | State University of Jakarta | 1 |
| Rizky Hilmianto | State University of Jakarta | 1 |
| Robert Kurniawan | Politeknik Statistika STIS | 1 |
| Endang Yuliani | State University of Jakarta | 1 |
| Citra Komang Sari | State University of Jakarta | 1 |
| Baihaqy Mahardika | State University of Jakarta | 1 |
| Khansa Salsabil Fadya | State University of Jakarta | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.