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Halimatusa’idah, Najmah
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Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Library & Information Science

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Predictive Analytics of Dental and Oral Health Using Dempster Shafer Parameters at Pelita Bunda Clinic Halimatusa’idah, Najmah; Komarudin, Komarudin; Syukri, Muhammad; Rohpandi, Dani
Electronic, Business, Management and Technology Journal Vol. 2 No. 1 (2024): Electronic, Business, Management and Technology Journal
Publisher : P3M, STIE Pasundan, Bandung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/ebmtj.v2i1.138

Abstract

This study aims to provide a precise and analytical approach to predicting dental and oral health. This condition will be achieved by utilizing the Dempster-Shafer parameters at the Pelita Bunda Clinic. Maintaining dental and oral health is crucial for overall well-being. Nevertheless, making treatment decisions is frequently challenging due to aspects that need clarification and cannot be measured. The Dempster-Shafer method is a highly efficient approach for handling situations with uncertainty. This strategy can employ data in the form of hypotheses and leverage probability theory to amalgamate and analyze unclear information. The study demonstrates the effectiveness of the analytical prediction approach for dental and oral health utilizing the Dempster-Shafer parameters at Pelita Bunda Clinic in forecasting patients' dental and oral health state. Employing this approach can assist dentists in making treatment decisions with greater accuracy and efficiency.
Co-Authors Dani Rohpandi Heni Pujiastuti Komarudin Komarudin