@thesis{thesis,
		author={Asri  Yessy and Djamain  Yasni and Kencana  Ramadhan Adi},
		title ={RANCANG BANGUN SISTEM PAKAR DETEKSI DINI DIABETES MELITUS DENGAN METODE FORWARD CHAINING DI PUSKESMAS NGEMPIT PASURUAN},
		year={2019},
		url={http://156.67.221.169/4455/},
		abstract={Diabetes mellitus is one of the diseases that classified as non-communicable
diseases. This disease have the highest number of sufferers and always
increasing in each year. In Puskesmas Ngempit Pasuruan, the number of people
with Diabetes Mellitus was ranked first. Hence,, the Puskesmas increasing the
awareness about this Diabetes in the community. However, Puskesmas is not
every time to intervene in the community while the Puskesmas only had 3 doctors
who handled many other patients who had a higher importance than Diabetes,
which made the Puskesmas unable facilitate the community. This study aims to
design a web-based application of Diabetes Melitus early detection with HTML
and PHP programming languages. The design of the application uses an expert
system method that is forward chaining that traces the facts to a final decision.
This application using the waterfall software development method and application
design using the Unified Modeling Language (UML). After being tested with the
black box method, the white box, and the accuracy test by the user through
questionnaire, it was found that the accuracy rate of the results by the system
was 75% and some people admitted that this application was efficient to cut the
diagnostic time to less than 5 minutes.}
		}