首页|Universitas Islam Indonesia Researchers Add New Study Findings to Research in Su pport Vector Machines (K-Medoids and Support Vector Machine in Predicting the Le vel og Building Damage in Earthquake Insurance Modeling)
Universitas Islam Indonesia Researchers Add New Study Findings to Research in Su pport Vector Machines (K-Medoids and Support Vector Machine in Predicting the Le vel og Building Damage in Earthquake Insurance Modeling)
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Investigators publish new report on . According to news reporting out of Yogyakarta, Indonesia, by NewsRx editors, res earch stated, "Yogyakarta, an Indonesian province prone to earthquakes, frequent ly suffers extensive damage to buildings, necessitating insurance coverage to mi tigate potential losses." The news reporters obtained a quote from the research from Universitas Islam Ind onesia: "This study aims to forecast earthquake insurance premiums by predicting building damage levels resulting from earthquakes. Utilizing data from building s affected by the June 30, 2023, earthquake in Yogyakarta, we employ K-Medoids C lustering and Support Vector Machine (SVM) to predict two categories of building damage: minor (labelled as 1) and heavy (labelled as 2). The total premiums for minor damage range from approximately USD 86.55 to USD 288.50, while for heavy damage, they range from USD 120.05 to USD 400.18 using the K-Medoids algorithm."
Universitas Islam IndonesiaYogyakartaIndonesiaAsiaEmerging TechnologiesMachine LearningSupport Vector Machin esVector Machines
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