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All Journal Jurnal Matematika Sains dan Teknologi Indonesian Journal of Education and Mathematical Science Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Journal of Engineering and Science Application Jurnal Ilmu Komputer dan Matematika
Findasari Findasari
Universitas Muhammadiyah Kudus
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Modeling Outpatient Visits Using Poisson and Negative Binomial Regression at Sarkies Aisyiyah Kudus Hospital Nur Hakimah; Ade Ima Afifa Himayati; Findasari Findasari
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.50

Abstract

Outpatient visits are an important indicator of healthcare service utilization and play a significant role in hospital service planning and resource management. This study aims to model the number of outpatient visits at Sarkies Aisyiyah Kudus Hospital using Poisson and Negative Binomial regression and to identify the factors influencing outpatient visits. This study used secondary data consisting of 41 daily observations from November 1 to December 12, 2025. The response variable was the daily number of outpatient visits, while the predictor variables were the number of BPJS patients, the number of operating clinics, and the number of doctors on duty. Data analysis was performed using RStudio. The results showed that all three predictor variables had a positive relationship with outpatient visits in the Poisson regression model. However, the overdispersion test produced a dispersion value of 10.04, indicating that the Poisson assumption of equidispersion was not satisfied. The Negative Binomial regression model showed that the number of BPJS patients and the number of clinics had a positive and significant effect on outpatient visits, while the number of doctors had a positive but non-significant effect. The Negative Binomial model provided a better fit, with an AIC of 435.58, compared with 673.48 for the Poisson model. Therefore, the Negative Binomial regression model was selected as the more appropriate model for outpatient visit data at Sarkies Aisyiyah Kudus Hospital.
Co-Authors Ade Ima Afifa Himayati Alfarezi Khulafa Haq Alif Miftachul Nasikhah Alifna Zhillan Zhalila Alisa Apriliani Alkhawarizmi Alianda Widyasalam Asya Nurfadilah Azizatuz Zahro Azzizatuz Zahro Erik Maurten Firdaus Erik Maurten Firdaus Farel Bayone Meijabar Fitriana Kartikasari Irma Latifah Ivanna Isty Nursani Ivanna Isty Nursani M. Adib Jauhari Dwi Putra M. Adib Jauhari Dwi Putra Melvin Dewi Rosita Mita Puspita Sari Muhamad Annafi Anwar Nabilah Amaalina Syafa Nur Alisa Nur Hakimah Purnami, Ndaru Atmi