Implementasi logika fuzzy mamdani dan simple additive weighting (saw) pada sistem pakar berbasis web untuk deteksi dini gangguan neurologis
DOI:
https://doi.org/10.37859/coscitech.v6i3.10130
Abstract
Neurological disorders such as low back pain, vertigo, ischemic stroke, epilepsy, and peripheral neuropathy affect the central and peripheral nervous systems and have the potential to reduce quality of life and be fatal if not detected early. In Indonesia, the high prevalence is not balanced with access to early diagnosis due to limited medical personnel, costs, and waiting times. This study developed a web-based expert system for early detection of five neurological disorders using the Mamdani Fuzzy Method for inference and Simple Additive Weighting (SAW) for symptom ranking. The diagnosis process includes fuzzification, rule evaluation, aggregation, centroid defuzzification, and SAW calculation. The system was tested through black box testing and accuracy evaluation using MAE, RMSE, and F1 Score. The results showed an MAE value of 2.8%, RMSE 2.83%, and F1 Score 0.75, which proves the system is accurate, consistent with manual calculations, and easy to use. With a user-friendly interface, this system has the potential to be a pre-diagnosis tool that increases public awareness and supports medical personnel in decision-making.
Downloads
References
DAFTAR PUSTAKA
A. Masrukhan, “Sistem Pakar Untuk Mendiagnosa Penyakit Sistem Saraf Pusat Pada Manusia Berbasis Android Dengan Menggunakan Metode Forward Chaining,” Appl. Sci. Technol. Reaserch J., vol. 1, no. 1, pp. 20–25, 2022, doi: 10.31316/astro.v1i1.3208.
N. Sitinjak, “Implementasi Expert System Metode Case Based Reasoning Diagnosa Penyakit Ikan Cupang Berbasis Web,” Hello World J. Ilmu Komput., vol. 2, no. 4, 2024, doi: 10.56211/helloworld.v2i4.472.
K. A. Mastuti and F. Husain, “Gambaran Kejadian Low Back Pain pada Karyawan CV. Pacific Garment,” J. Ilmu Kesehat. Mandira Cendikia, vol. 2, no. 8, pp. 297–305, 2023.
L. Dewi and E. Fitraneti, “Scientific Stroke Iskemik,” no. Vol. 3 No. 6 (2024): SCIENA Volume III No 6, November 2024, pp. 379–388, 2024, doi: https://doi.org/10.56260/sciena.v3i6.173.
M. L. Siagian, “Vertigo Pada Lansia Di Posyandu Lansia Bestari Maharani Pondok Benowo Indah Surabaya,” M. Siagian, 2022, [Online]. Available: jurnal.stikeswilliambooth.ac.id
P. P. D. Fitriyani and R. W. Januarti, “Diagnosis Dan Tatalaksana Epilepsi,” Meduia, vol. 13, no. 6, pp. 941–944, 2023.
M. M. Labib Bima, F. Rahmayani, and H. Mutiara, “Diagnostik, Faktor Risiko, dan Tatalaksana Neuropati Diabetik,” Diagnosis, Fakt. Risiko, dan Tatalaksana Medula |, vol. 13, no. April, p. 59, 2023.
W. R. Maya, F. A. Saragih, E. Elfitriani, and S. Murniyanti, “Sistem Pakar Mendiagnosa Penyakit Spacelona Fawcetti Jenkins Pada Tanaman Jeruk Menggunakan Metode Dempster Shafer,” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 23, no. 1, 2024, doi: 10.53513/jis.v23i1.9590.
H. Sirait, E. U. P. Simanihuruk, and R. Tambun, “Elemen Dasar dan Kharakteristik Membangun Sistem Pakar,” J. Bisantara Inform., vol. 7, no. 1, 2023, [Online]. Available: https://www.bisantara.amikparbinanusantara.ac.id/index.php/bisantara/article/view/90
U. L. Usnul and Zaenal Alamsyah, “Implementasi fuzzy mamdani sebagai pendukung keputusan pada sistem monitoring air layak konsumsi,” J. CoSciTech (Computer Sci. Inf. Technol., vol. 4, no. 1, pp. 15–24, 2023, doi: 10.37859/coscitech.v4i1.4479.
Sylfanie Sekar Mayang and Ade Eviyanti, “Expert System for Diagnosing Early Symptoms of Stroke Using the Fuzzy Mamdani Method,” Procedia Eng. Life Sci., vol. 1, no. 2, 2021, doi: 10.21070/pels.v1i2.969.
Y. Fatma, R. Gunawan, and Edi Rian Kartiko, “Sistem pakar kerusakan honda beat street 2021 menggunkan metode forward chaining dan certainty factor,” J. CoSciTech (Computer Sci. Inf. Technol., vol. 3, no. 3, pp. 259–266, 2022, doi: 10.37859/coscitech.v3i3.4377.
B. Prasetyo, “Sistem Pakar Diagnosis Penyakit Saraf Motorik Menerapkan Metode Fuzzy Mamdani,” TIN Terap. Inform. Nusant., vol. 2, no. 11, 2022, doi: 10.47065/tin.v2i11.1030.
