Rachmadi, Anandito Ridho (2022) Risk Analysis Of Covid-19 Vaccination Program Based On ISO 31000:2018 Using Healthcare Failure Mode And Effect Analysis (HFMEA) And Benefit Cost Ratio (Bcr) Approach. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
COVID-19 is an infectious disease caused by SARS-CoV-2 virus which can cause several health problems, ranging from fever, loss of taste or smell, until death. Vaccination is a simple, safe, dan effective way for human to protect themselves from harmful diseases before the diseases itself come into contact. Following government directives based on Peraturan Menteri Kesehatan Republik Indonesia Nomor 10 Tahun 2021 tentang Pelaksanaan Vaksinasi dalam Rangka Penanggulangan Pandemi Corona Virus Disease 2019 (COVID-19), RS X provides vaccination services that are useful to prevent the spread of the COVID-19 virus. Considering the urgency of COVID-19 Vaccination, a risk management is implemented to map out several potential risk that could happen on the COVID-19 Vaccination process. ISO 31000:2018 is used as the standard for risk management, with Healthcare Failure Mode and Effect Analysis (HFMEA) as the main method alongside Benefit Cost Ratio (BCR) as the supporting method. The output of this research would be actions for prioritized risks, along with the feasibility analysis. Operational activities identification is done using service blueprint tools. After that, risk management of COVID-19 Vaccination is done based on ISO 31000:2018 using Healthcare Failure Mode and Effect Analysis. There are 2 dimensions of risk used, which are severity and occurrence, with the severity used divided into two aspects, which are visitor and staff. The identified risk is the categorized into four levels, which are high, moderate, and low. The prioritized risk is determined using HFMEA Decision Tree which consider the hazard risk, criticality, control measure, and detectability of the risk. The risk treatment is done based on the result of prioritizing risk. Each proposed risk treatment for prioritized risks is then analyzed using Benefit Cost Ratio to determine ts feasibility based on engineering economics perspective, with risks that have more than one feasible treatment going to further analysis with Incremental benefit Cost Ratio. The result shows that from 4 processes and 20 activities, there are 30 identified operational risks. From 30 identified risks, 60 risk combinations are identified with 28% of risk combinations considered as high risk, 28% of risk combinations considered as moderate risk, and 44% of risk combinations considered as low risk. 16 risk combinations are identified based on HFMEA Decision Tree and 14 risk treatments for prioritized risk combinations are proposed. Based on engineering economics perspective using Benefit Cost Ratio, 10 risk treatments are considered feasible and 4 risk treatments are considered not feasible.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | COVID-19, Vaccination, ISO 31000:2018, HFMEA, BCR |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 11 Feb 2026 07:30 |
| Last Modified: | 11 Feb 2026 07:30 |
| URI: | http://repository.its.ac.id/id/eprint/132374 |
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