Implementasi Metode Fuzzy Mamdani pada Sistem Pakar Mendiagnosis Penyakit Demam Berdarah
DOI:
https://doi.org/10.62951/bridge.v3i1.378Keywords:
Dengue Fever, Diagnosis, Fuzzy Mamdani, Expert SystemAbstract
Indonesian people mostly tend to ignore health, especially dengue fever because the symptoms that arise are similar to common fever, this causes people with common fever symptoms to be reluctant to see a doctor. This study aims to help the public recognize the symptoms of dengue fever early by using the implementation of the fuzzy method in the dengue fever disease diagnosis system that uses specific datasets as a reference. Mamdani's fuzzy method, which is based on linguistic frameworks and fuzzy concepts, allows for the management of knowledge from experts for intuitive decision-making. The test results using the Confusion Matrix, the system showed an accuracy of 92.8%, an average precision of 90.6%, a recall of 95.8%, and an F1-Score of 92.6%, with an effectiveness value of 100%. This study proves that the system is able to provide information about dengue fever, diagnose based on symptoms, and offer solutions for its treatment.
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References
Athiyah, A. Handayani, M. Aldean, N. Putra, and R. Ramadhani. (2021). “Sistem Inferensi Fuzzy : Pengertian, Penerapan, dan Manfaatnya,” Journal of DINDA (Data Science, Information Technology, and Data Analytics), vol. 1, pp. 12–21. doi: 10.31940/matrix.v10i2.1841
Bacin, S. (2021). “Sistem Pakar Untuk Mendiagnosa Penyakit Diabetes Menggunakan Metode Inferensi Fuzzy Mamdani,” Media Online), vol. 1, no. 3, pp. 188–194. [Online]. Available: https://djournals.com/resolusi
Fitriyani. (2007). Penentuan Wilayah Rawan Demam Berdarah Dengue Di Indonesia Dan Analisis Pengaruh Curah Pola Hujan Terhadap Tingkat Serangan (Studi Kasus : Kabupaten Indramayu). Departemen Geofisika Dan Metereologi. FMIPA. IPB. Skripsi
Istiadi, Emm, B., Rudy, J., Anik, V., and Affi, N. (2022). “Mamdani Fuzzy Expert System for Online Learning to Diagnose Infectious Diseases,” Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 6, no. 6, pp. 1047–1056. doi: 10.29207/resti.v6i6.4656
Kemenkes RI, Membuka Lembaran Baru; Laporan Tahunan 2022: Demam Berdarah Dengue, Jakarta, 2023.
Kemenkes RI, PENCEGAHAN DAN PEMBERANTASAN DEMAM BERDARAH DENGUE DI INDONESIA, JAKARTA: BAKTI HUSADA.
Maida O.P. (2022). “Sistem Pakar Diagnosa Penyakit Porfiria Menerapkan Metode Fuzzy Mamdani,” Journal Global Tecnology Computer, vol. 2, no. 1, pp. 1–7.
Maradona, H., Yasdomi, K., & Desiyanti, V. (2022). SISTEM PAKAR DIAGNOSA PENYAKIT DEMAM BERDARAH DENGAN METODE NAIVE BAYES CLASSIFIER. RJOCS (Riau Journal of Computer Science), 8(2), 109-115.
Nesi, Y. R. Kaesmetan, and M. O. Meo,. (2019). Sistem Pakar Diagnosa Penyakit Ikan Gurame Dengan Menggunakan Fis Mamdani,” Hoaq: Jurnal Teknologi Informasi, vol. 11, pp. 73–80.
Pneumonia,” Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi, vol. 7, no. 2, p. 94. doi: 10.24014/coreit.v7i2.15085
SAHULATA, H. J. Wattimanela, and M. S. Noya Van Delsen. (2020). “Penerapan Fuzzy Inference System Tipe Mamdani Untuk Menentukan Jumlah Produksi Roti Berdasarkan Data Jumlah Permintaan Dan Persediaan (Studi Kasus Pabrik Cinderela Bread House Di Kota Ambon),” Barekeng: Jurnal Ilmu Matematika dan Terapan, vol. 14, no. 1, pp. 079– 090. doi: 10.30598/barekengvol14iss1pp079-090.
Sinaga, M. N., Hasibuan, N. A., & Sihite, A. H. (2020). Sistem Pakar Diagnosa Kifosis Menerapkan Metode Fuzzy Mamdani. KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), 4(1).
Triana, N. (2021) “Sistem Pakar Diagnosa Penyakit Pada Tanaman Seledri Menggunakan Metode ANFIS,” Terapan Informatika Nusantara, vol. 1, no. 8, pp. 418–423. [Online]. Available: https://ejurnal.seminarid.com/index.php/tin
Umar, S. Asria, P. and S. Handayani. (2020). “IMPLEMENTASI METODE FUZZY MAMDANI PADA SISTEM PAKAR UNTUK DIAGNOSIS PENYAKIT TANAMAN PADI,” vol. 6, no. 2, pp. 1–5. doi: 10.5281/zenodo.4395858.
Wahyuni, G. (2022). “Membandingkan Tingkat Efisiensi Metode Tsukamoto dan Sugeno untuk kasus8, pp. 418–423, 2021, [Online]. Available: https://ejurnal.seminarid.com/index.php/tin
Wijaya, R. (2021) “Penggunaan Sistem Pakar dalam Pengembangan portal Informasi untuk Spesifikasi Jenis Penyakit Infeksi.”
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