A Dempster-Shafer Approach for Uncertainty Management in Diagnosing Eye Diseases

Luthfi Priyanto Aji; Suprapto

doi:10.69616/mcs.v1i2.200

Authors

Luthfi Priyanto Aji Universitas Gadjah Mada
Suprapto Universitas Gadjah Mada

DOI:

https://doi.org/10.69616/mcs.v1i2.200

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Keywords:

Conflict Resolution, Dempster Shafer, Diagnose, Eyes

Abstract

Expert system can be used as a consultant that could give an advice to users as well as an assistant to experts. One way to help diagnose eye disease is to create an expert system as a media consultation therefore the eye disease could be identified based on the symptoms. Expert system in this research is built using using forward chaining search method and dempster shafer method to handle the uncertainty. The dempster shafer method is a non monotonic method that is used to look for inconsistencies due to the addition or subtraction of the new facts that will change the existing rules. This research aims to handle the uncertainty of the diagnose eye disease with increase the accuracy of the system in determine the level of confidence of a disease that has been generated by the expert system. The expected results of this research is to provide a media consultation that is able to diagnose eye diseases and increasing the level of system confidence to diagnose an eye disease. This expert system is tested by comparing diagnose results from an expert and the comparasion results show accuracy rate is 96%.

Author Biographies

Luthfi Priyanto Aji, Universitas Gadjah Mada

Department of Computer Science and Electronics

Suprapto, Universitas Gadjah Mada

Department of Computer Science and Electronics

References

S. Ilyas and S. R. Yulianti, “Ilmu penyakit mata edisi kelima,” Fak. Kedokt. Univ. Indones., 2014.

N. Alfitry et al., “Increasing Public Awareness Through the Provision of Trash Bins and Information Boards at Karang Empat Beach,” MEKONGGA J. Pengabdi. Masy., vol. 1, no. 2, pp. 41–46, 2024.

M. M. Syiam, “A neural network expert system for diagnosing eye diseases,” in Proceedings of the tenth conference on Artificial Intelligence for Applications, IEEE, 1994, pp. 491–492.

L. G. Kabari and E. O. Nwachukwu, “Decision support system using decision tree and neural networks,” Comput. Eng. Intell. Syst., vol. 4, no. 7, pp. 8–20, 2013.

R. Kurniawan, N. Yanti, and M. Z. A. Nazri, “Expert systems for self-diagnosing of eye diseases using Naïve Bayes,” in 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA), IEEE, 2014, pp. 113–116.

A. Maseleno and M. Muslihudin, “Ebola virus disease detection using Dempster-Shafer evidence theory,” in 2015 IEEE International Conference on Progress in Informatics and Computing (PIC), IEEE, 2015, pp. 579–582.

D. Daniel and G. Virginia, “Implementasi sistem pakar untuk mendiagnosis penyakit dengan gejala demam menggunakan metode certainty factor,” J. Inform., vol. 6, no. 1, 2010.

W. O. N. Aisyah, A. T. Sumpala, Y. P. Pasrun, M. Muchtar, and A. Malik, “Implementation of the Dempster Shafer Method in an Expert System for Diagnosing Solanum Lycopersicum Pests and Diseases,” Media Inf. Teknol., vol. 1, no. 1, pp. 31–42, 2024.

M. I. S. Zay, R. Mustakim, W. T. Cahya, Z. Amelia, and P. Rosyani, “Analisa Perbandingan Metode Fuzzy Dalam Menentukan keakuratan mendiagnosa Penyakit Mata,” Bul. Ilm. Ilmu Komput. dan Multimed., vol. 1, no. 2, pp. 274–277, 2023.

I. Ismail, N. Nursakti, and S. Suwandi, “Sistem Pakar Mendiagnosa Penyakit Mata Menggunakan Metode Forward Chaining Pada Rusd Latemmamala Soppeng,” J. RISTER Ris. Sist. Cerdas, vol. 1, no. 1, pp. 1–6, 2024.

A. Prasetia and T. Ardiansah, “Sistem Pakar Diagnosa Penyakit Mata Menggunakan Metode Certainty Factor,” J. Inf. Syst. Res., vol. 5, no. 2, pp. 405–415, 2024.

M. N. Bagaskara, D. Hartanti, and V. Atina, “Sistem Pakar Diagnosa Penyakit Mata Dengan Metode Certainty Factor,” J. FASILKOM, vol. 14, no. 2, pp. 484–490, 2024.

D. Lin et al., “Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study,” Lancet Digit. Heal., vol. 3, no. 8, pp. e486–e495, 2021.

I. Asriani, M. Muchtar, R. R. Ismail, A. Paliling, K. Sya’ban, and R. Karim, “Expert System for Determining Diseases and Pests in Seaweed Using Forward Chaining (Case Study: Watorumbe Village, Mawasangka Tengah),” Media Comput. Sci., vol. 1, no. 1, pp. 47–60, 2024.

J. d Giarratano and G. Riley, “Expert System: Principles And Programming, edisi 3,” Thomson Course Technol., 2005.