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Febriani, Widya
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Pemodelan Faktor-Faktor Kemiskinan di Indonesia Menggunakan Pendekatan Regresi LASSO febriani, widya
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 3 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i3.27085

Abstract

In September 2024, the percentage of poor people in Indonesia reached 8.57 percent. This figure shows a decrease of 0.46 percentage points compared to March 2024. However, this poverty rate is still far from the national target. This study aims to analyze the factors that influence the percentage of poor people (P0) in order to provide a reference for the government to optimize policies on the dominant factors that have a strong impact on the percentage of poor people (P0). The research method uses LASSO regression due to the high multicollinearity problem in the data used. The analysis results show that the poverty depth variable (P1) and poverty severity variable (P2) have a dominant influence on the percentage of poor people (P0). The coefficient of determination value of 95% on the training data and 96% on the testing data indicates that the model has a very good ability to explain the percentage of poor people (P0).
Co-Authors Aisyah Aisyah Alfarizi, Habib Angriani, Ria Anhar Anhar Azahrah, Anissya Edwar Rosman Fadhila Supari fradana, aldi Frima, Rini Gaputra, Ideva Gunadi Widi Nurcahyo Gustia, Ririn Ikhbal Salam, Riyan Katrina Flomina G Lasmi Yupita Miftahul Hasanah Miftahul Hasanah, Miftahul Purwo Wibowo, Wasis Puter, Sherin Auliya Ryndu, Aisyah Bunga Sumijan Sumijan Ulfa, Ulia Ulia Ulfa Yudho Bawono Yupita, Lasmi