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ANALYSIS OF THE EXISTENCE OF THE AGRICULTURAL SECTOR IN MODELING POVERTY IN BENGKULU PROVINCE USING GAUSSIAN COPULA MARGINAL REGRESSION
BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 19 No. 2 (2025) · pp. 1251–1262
- ISSN
- 2615-3017, 1978-7227
- Published
- 2025-04-01
- Publisher
- PATTIMURA UNIVERSITY
- Language
- eng
Abstract
Bengkulu Province ranks second in the category of the highest percentage of poor people in the Sumatra region, at 14.62% in March 2022, and sixth in Indonesia, which is undoubtedly one of the fundamental problems that requires mutual attention. The phenomenon of high poverty in Bengkulu Province is inseparable from the lives of people whose main livelihood is in the agricultural sector, especially tenant farmers. Therefore, in this study, the Copula and Gaussian Copula Marginal Regression (GCMR) methods are applied to determine how the agricultural sector affects poverty in Bengkulu Province using secondary data obtained from the Bengkulu Provincial Statistics Agency (Susenas 2022). The results show that the Copula model can identify various types of dependency between the number of poor households in each district/city in Bengkulu Province in 2022 and each of the variables, namely the Number of Agricultural Business Households, the Growth Rate of the Agricultural Sector, the Human Development Index, and the Open Unemployment Rate ( ) by considering the different characteristics of dependency such as top-tail, bottom-tail, or negative dependency. Meanwhile, the GCMR model can provide the direction of influence of the independent variables on the dependent variable Y, where it can be seen that the variables,, and have a negative influence on the variable, whie the variable has a positive impact on the variable. Therefore, in general, it can be concluded that either positive or negative dependencies identified by the Copula model can influence the resulting GCMR model by providing more profound complexity regarding the relationship between the variables analyzed.
Collaboration network of the authors
27 authors · 80 co-authorship links · 8 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Bengkulu
- National Research and Innovation Agency
- IPB University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Idhia Sriliana | University of Bengkulu | 2 |
| Winalia Agwil | University of Bengkulu | 2 |
| Cinta Rizky Oktarina | Affiliation unknown | 2 |
| Sigit Nugroho | University of Bengkulu | 2 |
| Tommy Jomecho | Affiliation unknown | 2 |
| Stevy Cahya Pratiwi | University of Bengkulu | 2 |
| Wina Ayu Lestari | University of Bengkulu | 1 |
| Firdaus Firdaus | National Research and Innovation Agency | 1 |
| Raditya Janaloka Natisharevi | University of Bengkulu | 1 |
| José Rizal | University of Bengkulu | 1 |
| Bagus Sartono | IPB University | 1 |
| Herlin Fransiska | University of Bengkulu | 1 |
| Eni Meylisah | University of Bengkulu | 1 |
| Esther Damayanti Sihombing | University of Bengkulu | 1 |
| Cinta Rizki Oktarina | University of Bengkulu | 1 |
| Etis Sunandi | University of Bengkulu | 1 |
| Nurul Hidayati | University of Bengkulu | 1 |
| Anggun Permatasari | University of Bengkulu | 1 |
| Alya Saputri | University of Bengkulu | 1 |
| Lutfiah Firlian | University of Bengkulu | 1 |
| Indah Srilita Asmuyana | University of Bengkulu | 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.