REVENUE MODELLING IN INDONESIA EYE GOVERNMENT HOSPITAL: A SYSTEM DYNAMIC MODELLING APPROACH

• Main Author: Fahrul Ridho /29116013, Wahyu
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/31532
• Institution: Institut Teknologi Bandung

The government through BPJS targets the participation of JKN to be 100% by 2019. Therefore, the government since 2014 seeks to improve the accessibility of health services by increasing the number of hospitals. For investment, the government diverts operational funds from major hospitals, and advocates hospitals to be financially independent. National Eye Center Cicendo Eye Hospital (CEH) is a government hospital affected by the policy. Since 2014, the proportion of operational government fund for hospitals has been slowly reduced, but the government fund remains a crucial component for CEH, especially in hospital funding planning. CEH plans to financially independent due in 2030. This study aims to build a System Dynamic forecasting model that is able to assist CEH in financial planning to be financially independent. <br /> <br /> This research analyzes internal and external aspects of CEH and looks for the root cause of the problem. Furthermore, build a Causal Flow Diagram to map the causal relationship between the variables. Next step, build the Stock Flow Diagram for the construct of the model to serve as an forecasting tool for CEH. Model that have been built is validated. Validation methods used include the use of structural tests, behavior test and Mean Average Percentage Error Test (MAPE). <br /> <br /> The study finds that the root of the CEH problem in trying to become financially independent is the lack of forecasting tools for long-term financial planning. System Dynamic model built consists of two forms. Causal Flow Diagrams have been established and based on expert opinion, there are several variables that influence and interact with each other. There is a loop on the Causal Flow Diagram formed that represents a reciprocal system between the operational amount of the government fund and hospital revenue. Validation results from the stock flow diagram using MAPE obtained the results for the entry of services income, APBN fund, total income and expenditure showed 1.15%, 0.57%, 3.16% and 1.44% respectively. It can be concluded that this model is accurate in CEH revenue forecast. Recommendations include implementing prospective planning system, application of System Dynamic model, Improvisation and adjustment of model in the future. <br />