Ismaiba and Riries Rulaningtyas and Katherine and Ernawati (2020) Expert system for risk prediction of cesarean section delivery with Dempster Shafer method. In: The 2nd International Conference on Physical Instrumentation and advanced Materials 2019. AIP Conference Proceedings, 2314 (1). AIP Publishing, Surabaya, pp. 1-4. ISBN 978-0-7354-4056-2

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Abstract

The maternal mortality rate in Indonesia is related to the lack of knowledge of mothers regarding high-risk pregnancies, especially with cesarean delivery. In this case, the prediction system designed is done as an effort to increase the awareness of mothers or women who were preparing for high-risk pregnancies. In this article, an Android-based prediction application will be presented using an expert system with the Dempster Shafer method. This method is based on a mathematical theory which consists of a combination of belief function and plausible reasoning from the risk parameters of each labor class by representing the knowledge obtained from experts. This study uses 16 risk parameters as input based on Poejo Rochati's high-risk pregnancy card with 2 outputs, with risk or no risk of having cesarean delivery. The result obtained from this system is 85%, concludes that the prediction system is able to predict the risk of cesarean delivery.

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