Research Article
Forecasting the Number of Tuberculosis (TBC) Using Fuzzy Prey Predator
@INPROCEEDINGS{10.4108/eai.30-7-2019.2287558, author={Subaidah Subaidah and Putri Ukhrowi and Achmad Alam and Tony Yulianto}, title={Forecasting the Number of Tuberculosis (TBC) Using Fuzzy Prey Predator}, proceedings={Proceedings of the 1st Asian Conference on Humanities, Industry, and Technology for Society, ACHITS 2019, 30-31 July 2019, Surabaya, Indonesia}, publisher={EAI}, proceedings_a={ACHITS}, year={2019}, month={9}, keywords={tuberculosis (tbc) forecasting fuzzy prey predator}, doi={10.4108/eai.30-7-2019.2287558} }- Subaidah Subaidah
Putri Ukhrowi
Achmad Alam
Tony Yulianto
Year: 2019
Forecasting the Number of Tuberculosis (TBC) Using Fuzzy Prey Predator
ACHITS
EAI
DOI: 10.4108/eai.30-7-2019.2287558
Abstract
Tuberculosis (TB or TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis. Tuberculosis (TB) is still a major health problem in the world, so from this it is necessary to forecast to determine the increase in the number of TB diseases, and later can be taken in prevention. This study uses the Fuzzy prey predator method. The data source used is data on TB patients at Batumarmar Health Center. From the results of this study, it was found that the population of Prey and Predator was sought for stability, so that after applying the fuzzy prey predator model, convergent results were obtained. Prey population and Predator population decreased for one month, afterwards covergen.
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