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In Indonesia, the number of people who dead from suffered kidney disease has increasing. It’s
happens because many people has less knowledge about the early symptoms of this disease. Kidney is
one of the important organ in human body, which’s it performs to filtrating excess salt, water, and
acid. Information technology utilization could be a great solution for this case. Build an expert
system application based on instant messenger for early diagnose check of kidney disease is expect
to do the initial diagnose process to be faster and could engage more people who curious about this
disease. The system method that was used in this research is forward chaining method who based on
multiplatforms using Telegram instant messanger application. This application could solves the
problem which is it application can displaying the diagnosis result quickly and accurately based on
the symptoms that will be asked by the system. In black box testing, this application has functions
that have been successful. And based on the results of usabilty scale system testing (SUS),
score of 78 which means this application can run well on Telegram Messaging.
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