The Expert System of Determining the Type of Malaria by using Dempster-Shafer Method

  • Ronal Maruli Marusaha Universitas Medan Area, Indonesia
  • Dian Noviandri Universitas Medan Area, Indonesia
  • Andre Hasudungan Lubis * Mail Universitas Medan Area, Indonesia
Keywords: Dempster Shafer; Expert System; Malaria; Types of Malaria; Disease

Abstract

Malaria is the most dominant disease in Asia and Africa and may become a life-threatening disease for it suffers. The types of malaria such as Plasmodium Vivax, Plasmodium Ovale, Plasmodium Malariae, and Plasmodium Falciparum are mostly infected people around the world. These types of malaria have certain symptoms that drives difficulties for some patients to confirm which malaria that their infected. A clinical testing and medical diagnostic assessments may be performed to determine the types of malaria, but utilizing a system also brings some benefits for rural areas which lack of medical facilities. The study develops a system by implementing the Dempster Shafer method to determine types of malaria. We collected the knowledge from the experts including 18 possible symptoms along with the density value. This paper present 5 cases of sufferers and provide the system result with the possibilities of malaria types. The result pointed out a various percentage of malaria types that may infected to the patients.

References

J. Talapko, I. Škrlec, T. Alebić, M. Jukić, and A. Včev, “Malaria: the past and the present,” Microorganisms, vol. 7, no. 6, p. 179, 2019.

World Health Organization, World Malaria Report 2022. World Health Organization, 2022.

S. Dhiman, “Are malaria elimination efforts on right track? An analysis of gains achieved and challenges ahead,” Infect. Dis. poverty, vol. 8, pp. 1–19, 2019.

A. Kamau et al., “Malaria infection, disease and mortality among children and adults on the coast of Kenya,” Malar. J., vol. 19, no. 1, pp. 1–12, 2020.

Y. P. Bria, C.-H. Yeh, and S. Bedingfield, “Significant symptoms and nonsymptom-related factors for malaria diagnosis in endemic regions of Indonesia,” Int. J. Infect. Dis., vol. 103, pp. 194–200, 2021.

S. Kho et al., “Diagnostic performance of a 5-plex malaria immunoassay in regions co-endemic for Plasmodium falciparum, P. vivax, P. knowlesi, P. malariae and P. ovale,” Sci. Rep., vol. 12, no. 1, p. 7286, 2022.

J. Hawadak, R. R. Dongang Nana, and V. Singh, “Global trend of Plasmodium malariae and Plasmodium ovale spp. malaria infections in the last two decades (2000--2020): a systematic review and meta-analysis,” Parasites & vectors, vol. 14, no. 1, p. 297, 2021.

Y. Cui, L. Zhang, Z. Xia, H. Zhou, and F. Huang, “Epidemiological characterization of imported recurrent Plasmodium vivax and Plasmodium ovale in China, 2013--2020,” Infect. Dis. Poverty, vol. 10, no. 1, pp. 1–10, 2021.

N. Y. Savera, “Stages and Levels of Plasmodium Falciparum Parasitemia in Malaria Blood Preparations,” Jar. Lab. Medis, vol. 1, no. 1, pp. 22–26, 2019.

P. B. S. Asih et al., “Efficacy and safety of dihydroartemisinin--piperaquine for the treatment of uncomplicated Plasmodium falciparum and Plasmodium vivax malaria in Papua and Sumatra, Indonesia,” Malar. J., vol. 21, no. 1, p. 95, 2022.

S. Dick, “Artificial intelligence,” Harvard Data Sci. Rev., vol. 1, no. 1, pp. 1–8, 2019.

K. Zhao, L. Li, Z. Chen, R. Sun, G. Yuan, and J. Li, “A survey: Optimization and applications of evidence fusion algorithm based on Dempster-Shafer theory,” Appl. Soft Comput., p. 109075, 2022.

Y. Yunitasari, A. Voutama, and N. Sulistiyowati, “Perbandingan Metode Certainty Factor dan Dempster Shafer untuk Sistem Pakar Depresi Pasca Melahirkan,” Techno. Com, vol. 20, no. 3, pp. 362–371, 2021.

N. A. Hasibuan and A. Fau, “Sistem Pakar Kombinasi Metode Certainty Factor dan Dempster Shafer,” J. Inf. Syst. Res., vol. 3, no. 2, pp. 85–90, 2022.

A. R. MZ, I. G. P. S. Wijaya, and F. Bimantoro, “Sistem pakar diagnosa penyakit kulit pada manusia dengan metode dempster shafer,” J. Comput. Sci. Informatics Eng., vol. 4, no. 2, pp. 129–138, 2020.

Y. Wiguna, F. Taufik, and A. H. Nasyuha, “Sistem Pakar Mendiagnosa Penyakit Batu Karang Menggunakan Metode Dempster Shafer,” J. Teknol. Sist. Inf. dan Sist. Komput. TGD, vol. 5, no. 1, pp. 66–75, 2022.

F. Nugroho and A. U. Bani, “Penerapan metode dempster shafer pada sistem pakar diagnosa penyakit usus halus,” J. Media Inform. Budidarma, vol. 6, no. 1, pp. 243–250, 2022.

O. Yuliardi, I. Zufria, and M. D. Irawan, “Sistem Pakar Mendiagnosis Nutrisi Tanaman Hidroponik Menggunakan Metode Dempster Shafer,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 2, no. 3, pp. 425–432, 2023.

D. S. Lumbanbatu, B. Anwar, and M. Dahria, “Sistem Pakar Mendiagnosa Penyakit Tanaman Solanum Betaccum Menggunakan Metode Dempster Shafer,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 1, no. 1, pp. 1–9, 2022.

T. E. Togatorop, A. Azlan, and I. Mariami, “Sistem Pakar Mendiagnosa Penyakit Pada Tanaman Kopi Robusta Menggunakan Metode Dempster Shafer,” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 21, no. 1, pp. 32–39, 2022.

S. B. Mishra and S. Alok, “Handbook of research methodology.” Educreation publishing, 2022.

N. Walliman, Research methods: The basics. Routledge, 2021.

E. Sagala, J. Hutagalung, S. Kusnasari, and Z. Lubis, “Penerapan Sistem Pakar Dalam Mendiagnosis penyakit Tanaman Carica Papaya di UPTD. Perlindungan Tanaman Pangan dan Hortikultura Menggunakan Metode Dempster Shafer,” J. Cyber Tech, vol. 1, no. 1, 2021.

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Published
2023-09-26
How to Cite
Marusaha, R. M., Noviandri, D., & Lubis, A. H. (2023). The Expert System of Determining the Type of Malaria by using Dempster-Shafer Method. Bulletin of Information Technology (BIT), 4(3), 377 - 383. https://doi.org/10.47065/bit.v4i3.887
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Articles