Expert System For Early Diagnosis Of Dog Skin Diseases Using The Dempster-Shafer Method

Adie Wahyudi Oktavia Gama; Putri Prema Paramitha; Ni Made Widnyani

Authors

Adie Wahyudi Oktavia Gama Information Technology Department, Universitas Pendidikan Nasional, Indonesia, 80244
Putri Prema Paramitha Information Technology Department, Universitas Pendidikan Nasional, Indonesia, 80244
Ni Made Widnyani Program Studi bisnis digital, Universitas Bali Internasional

Keywords:

Dempster-Shafer, Dog Skin Disease, Early Diagnosis, Expert System

Abstract

This study developed a web-based expert system for the early diagnosis of canine skin diseases, utilizing the Dempster-Shafer method. The close bond between humans and dogs, the high rate of dog ownership, and the prevalence of skin diseases among dogs in Bali Province highlight the need for an effective solution, particularly given dog owners' limited knowledge of diagnosis and treatment options. The research involved interviews with veterinary experts and an extensive literature review, resulting in the creation of a knowledge base comprising 12 common canine skin diseases and 23 associated symptoms. The Dempster-Shafer method was employed to address uncertainty in decision-making by calculating belief and plausibility values, ensuring accurate diagnostic results. The system's database design enables efficient management of disease, symptom, patient, and diagnosis information. Testing demonstrated an accuracy rate of 86.36% and a user satisfaction score of 89.09%, indicating that the system is both reliable and user-friendly. This expert system provides a practical tool for dog owners in Bali, supporting early diagnosis and appropriate management of canine skin diseases.

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References

D. P. dan K. P. P. B. Pemerintah Provinsi Bali, “Memasuki Era Baru, Bali Dicanangkan Segera Bebas Rabies,” Memasuki Era Baru, Bali Dicanangkan Segera Bebas Rabies. [Online]. Available: https://www.baliprov.go.id/web/memasuki-era-baru-bali-dicanangkan-segera-bebas-rabies/

A. Pradana, “Insidensi Pyometra Pada Anjing Di Rumah Sakit Hewan Universitas Airlangga Surabaya,” 2020.

Hakim, A. M. "TA: Sistem Pakar Identifikasi Penyakit Kulit Anjing Menggunakan Metode Certainty Factor", (Doctoral dissertation, Institut Bisnis dan Informatika Stikom Surabaya), 2018.

Harbigantara, Mikael Dionito. "Sistem Pakar Berbasis Android Untuk Diagnosis Penyakit Pada Kulit Anjing Dengan Metode Certainty Factor," Diss. STMIK AKAKOM Yogyakarta, 2021.

R. Damanik, M. B. Sirait, S. Yolanda, E. Ketaren, I. P. Sinaga, and M. Harahap, “Diagnosa Penyakit Kulit Pada Anjing Dengan Algoritma Multilayer Perceptron,” 2019.

N. Firnateris, G. Susilo, and F. Yunita, “Sistem Pakar Diagnosa Penyakit Kulit Pada Anjing Rumahan Berbasis Web,” JT, vol. 18, no. 1, Jun. 2022.

S. Ramadhoni, E. P. W. Mandala, and M. Afdhal, “Sistem Pakar Diagnosa Penyakit Kulit Pada Anjing Menggunakan Metode Bayes,” 2019.

A. Wahyudi, O. Gama, and D. A. P. A. G. Putri, "Sistem Pakar Menggunakan Metode Pembobotan Gejala Penyakit Mata," JURNAL RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 4, no. 3, pp. 601-607, 2020.

A. R. Lumbantoruan and D. Y. Niska, “Perancangan Sistem Pakar Diagnosis Penyakit Pada Hewan Peliharaan Anjing Berbasis Web Menggunakan Metode Forward Chaining” 2024.

G. Shafer, “Dempster-Shafer Theory”.

Philippe SMETS “What is Dempster-Shafer's model?”

R. Rizky, “Sistem Pakar Untuk Mendeteksi Penyakit Infeksi Saluran Pernafasan dengan Metode Dempster Shafer di Kabupaten Pandeglang Provinsi Banten,” 2018.

Edward H. Shortliffe “The Dempster-Shafer theory of evidence.”

S. Simanungkalit, W. R. Maya, and Y. H. Syahputra, “Sistem Pakar Mendiagnosa Penyakit Penyakit Kulit Pada Anjing Bichon Frise Dengan Menggunakan Metode Dempster Shafer,” 2020.

Indri Susilawati , Rahma Yuni Simanullang “Sistem Pakar untuk Mengidentifikasi Penyakit ITP (Idiopathic Thrombocytopenic Purpura) melalui Pendekatan Dempster Shafer.” Jurnal Ilmu Komputer dan Teknologi Informasi, 2023.

A. WOG, I. W. Sukadana, and G. H. Prathama, "Sistem Pakar Diagnosa Awal Penyakit Mata (Penelusuran Gejala dengan Metode Backward Chaining)," J-Eltrik, vol. 1, no. 2, pp. 71, Nov. 2019. E-ISSN: 2656-9396; P-ISSN: 2656-9388.