| Summary: | Destruction or impairment of kidney causes problems on physical ability
and strength in such a way that body activities is distracted, so easily tired and
weak. For detecting kidney�s disorder, laboratory test on several internal organs is
required. On behalf of medical staff, particularly a doctor, data of the laboratory
tests are analyzed to come into conclusions or decisions pertaining to renal
patients. As an initial step of determining renal risk, an accurate analysis is
required to verify kidney condition
Bayes method is a statistical-mathematical approach enabling us to generate
a model of uncertainty for an event, meanwhile AHP (Analytical Hierarchy
Process) is a method enabling us to solve complicated problems with a
hierarchical structure and considerations to produce a relative priority scale so that
anyone is able to choose the best alternative based on his/her aims.
This research came to conclude that the Bayes method could accelerate
decision making in determining the risk of renal disease faced by patients.
Probability rate shows the confidence system level against the renal disease.
Meanwhile the AHP method enables decision makers in getting the information to
determine the level of renal disease risks. Thus, the system can be further
employed by the medical staff.
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