Enhanced degree of injury classification model: determination critical indicator and criteria degree of injury from Visum et Repertum (Ver) in Pekanbaru, Indonesia

Abstract

Abstract Background This study aims to obtain criteria and indicator as parameters to determine the degree of injury from Visum et Repertum (VeR). The approach is done by adopting quantitative descriptive learning from VeR data. This study is conducted to retrieve the independent variable, either one variable or more. The techniques applied in this study are (Analytical Hierarchy Process) AHP and (Logistic Regession) LR to the opinion of experts according to the VeR data for a new knowledge discovery. Survey methods used in Bhayangkara Hospital Pekanbaru in the period from 2013 until 2016. The data sample used in this study is secondary data which are injury data from VeR. Result The finding of this study reveals that the model developed using the AHP and LR has good ability to determine and analyze the parameters for the degree of injury from VeR based on experts’ opinion. Conclusions The LR results also showed the physical factors that influence the degree of injury. Which are Respiration Rate (RR) and Systolic Blood Pressure (SBP). The higher Respiration Rate (RR) indicated the degree of injury is lighter. On the contrary, the lower Respiration Rate (RR) indicated the degree of injury is rising. While, the higher Systolic Blood Pressure (SBP) explained the degree of injury is lighter, and the lower level of Systolic Blood Pressure (SBP) explained the degree of injury level increase