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All Journal FORUM STATISTIKA DAN KOMPUTASI Jurnal Sains Matematika dan Statistika BERNAS: Jurnal Pengabdian Kepada Masyarakat ESTIMASI: Journal of Statistics and Its Application Journal of Applied Data Sciences Jurnal Diferensial Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Griya Journal of Mathematics Education and Application MATHunesa: Jurnal Ilmiah Matematika Jurnal Cakrawala Ilmiah Journal of Innovation Research and Knowledge Jurnal Pengabdian Kepada Masyarakat (JPKM) VARIANSI: Journal of Statistics and Its Application on Teaching and Research Jurnal Lembaga Pengabdian Kepada Masyarakat Undana PEDAMAS (Pengabdian Kepada Masyarakat)
Robertus Dole Guntur
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Generalized Poisson Regression Model on factors influencing the number of poor people in South Central Timor Regency 2024 Sisilia Ome; Robertus Dole Guntur; Maria Agustina Kleden; Keristina Br. Ginting
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 02 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v14n02.p307-316

Abstract

Poverty remains a major issue in Timor Tengah Selatan Regency (TTS), which has a relatively high poverty rate in East Nusa Tenggara Province. This condition is not only caused by low household income but also reflects limitations in meeting basic needs. The number of poor people is categorized as count data, which in statistical analysis often exhibits overdispersion, making the standard Poisson regression model less appropriate. Therefore, this study applies the Generalized Poisson Regression (GPR) approach to examine the effects of various factors on the number of poor people, using secondary data from 2024 covering 32 sub-districts in Timor Tengah Selatan Regency. The independent variables in this study include the open unemployment rate, total population, labor force, population density, and population growth rate. The results show that all independent variables have a significant effect on the number of poor people. Specifically, the open unemployment rate has a coefficient of -0.07289, total population is 1.11417, labor force is 1.44963, and population density is 0.00094, while population growth rate has a coefficient of -0.03301, indicating that an increase in this variable can reduce the number of poor people by approximately 3.25 percent.
Co-Authors Albert Mario Kumanireng Amal, Yulius Santana Anugrah Jordan Arista Marlince Tamonob Arto, Kamilus Bere Mau, Patricia Ivonia Berek, Joseph F Seran Bija Dauki, Marlina Selimanda Rambu Brian Juned Septory Brian Juned Septory Cindy Andini, Priscilia Damai Kusumaningrum Damai Kusumaningrum Damai Kusumaningrum, Damai Dappa, Jelita Susanti Bili Efraim Kurniawan Dairo Kette Elisabeth Brielin Sinu Elisabeth E. Wutun Emiliana Metan Meolbatak Farly Oktriany Haning Fek, Faldarika Ganesha L Putra Ginting, Keristina Br. Helga J Ndun Irvandi Gorby Pasangka Irvandi Gorby Pasangka Jaiman, Maria Fatima Jeanete Y Nenabu Jeharu, Bernadinus Jusrry Rosalina Pahnael Keristina Br. Ginting Klau, Yohana Danawinda Koehuan, Shingly Mariana Lais, Maria Febriana Maria Agustina Kleden Maria Lobo MARIA LOBO maria selviana Mira Wadu Naben, Maria Novalina Natalia Magdalena Rafu Mamulak Nitte, Yulsy Marselina Palapessy, Lionny Gabriela Alesandra Pangaribuan, Rapmaida M Paskalis Andrianus Nani Rapmaida Megawaty Pangaribuan Resi, Edmund Ridwanto Alfian Ronaldus Lahi Sira, Rendi Arwadi Sisilia Daeng Bakka Mau Sisilia Ome Sulche Ifone Nafi Yolanda, Katarina Yovinia Carmeneja Hoar Siki Yulianti Paula Bria