Proceedings of the 1st Asian Conference on Humanities, Industry, and Technology for Society, ACHITS 2019, 30-31 July 2019, Surabaya, Indonesia

Research Article

Forecasting the Number of Tuberculosis (TBC) Using Fuzzy Prey Predator

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  • @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
Subaidah Subaidah1,*, Putri Ukhrowi1, Achmad Alam1, Tony Yulianto1
  • 1: Mathematics Department, Mathemathics and Science Faculty, Islamic University of Madura, Pamekasan, Madura, Indonesia
*Contact email: subaidah@gmail.com

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.