Dynamic Simulation of Doctor Needs in East Java Province By Using iThink

This study compares the calculation of doctor needs in East Java Province using two dynamic simulations, namely iThink and Python. The purpose of this study is to identify differences in results between the two simulation platforms in estimating the need and availability of doctors based on population growth and the number of medical graduates. The methodology used involves modeling population dynamics and the flow of active doctors by considering the inflow of medical students and the WHO ratio. The results of the iThink simulation show an increase in the number of active doctors from 42,000 to 63,793 in 10 years, approaching the ideal WHO ratio, while the Python simulation shows a significant gap between the need and the number of doctors, with the need reaching 257,680 doctors in 2029, but the number of active doctors only reaching 21,686. This difference is due to variations in the methodology and approach of each platform. The conclusion of this study shows the importance of policy interventions to meet the need for doctors in the future and reduce the gap between the need and availability of doctors.

Authors

Publication Details

Journal
Operations Research International Conference Series
Published
2025-04-23
DOI
https://doi.org/10.47194/orics.v6i1.370
Primary Topic
Edcuational Technology Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic Simulation of Doctor Needs in East Java Province By Using iThink

Victor Ilyas Sugara, Kotim Subandi, Siti Zabrina, Hesti Nasyifa et al.
Operations Research International Conference Series
Edcuational Technology Systems
article

Dynamic Simulation of Doctor Needs in East Java Province By Using iThink

Victor Ilyas Sugara, Kotim Subandi, Siti Zabrina, Hesti Nasyifa, Calvin Febryan, Tita Tosida
article en

Abstract

This study compares the calculation of doctor needs in East Java Province using two dynamic simulations, namely iThink and Python. The purpose of this study is to identify differences in results between the two simulation platforms in estimating the need and availability of doctors based on population growth and the number of medical graduates. The methodology used involves modeling population dynamics and the flow of active doctors by considering the inflow of medical students and the WHO ratio. The results of the iThink simulation show an increase in the number of active doctors from 42,000 to 63,793 in 10 years, approaching the ideal WHO ratio, while the Python simulation shows a significant gap between the need and the number of doctors, with the need reaching 257,680 doctors in 2029, but the number of active doctors only reaching 21,686. This difference is due to variations in the methodology and approach of each platform. The conclusion of this study shows the importance of policy interventions to meet the need for doctors in the future and reduce the gap between the need and availability of doctors.

Operations Research International Conference SeriesVol. 6(1)
Openalex Percentile: Top 72%
Edcuational Technology Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.