Sistem Pakar Diagnosa Distrofi Otot Berbasis Web Menerapkan Metode Tsukamoto

Authors

  • Ishak Zalukhu Universitas Budi Darma, Medan

Keywords:

Expert System; Diagnosis; Muscular Dystrophy; Tsukamoto; Web

Abstract

Muscular dystrophy is a group of diseases that cause muscles to become weak, lose mass, and lose function. A common problem that occurs in the general public is the difficulty of knowing the diagnosis of muscular dystrophy in the body based on the symptoms experienced due to the limited number of specialist doctor consultation services in the neighborhood where they live. Overcoming the problem of difficulty in knowing the diagnosis of muscular dystrophy that has been described above, in this study the authors built a web-based expert system for diagnosis of muscular dystrophy using the Tsukamoto method. If a patient with a severity status of exactly 5 is given a diagnosis of moderate severity muscular dystrophy. The results of this study indicate that the application of the Tsukamoto method in the process of diagnosing Muscular Dystrophy gives effective results to solve the problem of diagnosing Muscular Dystrophy in accordance with expert knowledge.

References

A. Ada Udi Firmansyah, “Tes Multiple Intelligence Untuk Mengetahui Minat Dan,” vol. 4307, no. February, pp. 49–54, 2021.

U. Athiyah et al., “Diagnosa Resiko Penyakit Jantung Menggunakan Logika Fuzzy Metode Tsukamoto,” vol. 11, no. 1, 2021.

D. Sitanggang et al., “Diagnosing chicken diseases using fuzzy Tsukamoto web-based expert system,” IOP Conf. Ser. Mater. Sci. Eng., vol. 505, no. 1, 2019, doi: 10.1088/1757-899X/505/1/012086.

I. Mustiadi, “Klasifikasi sinyal emg berbasis jaringan syaraf tiruan dan Dan Discrete Wavelet Transform,” Teknoin, vol. 23, pp. 223–240, 2017.

S. M. Hardi, A. Triwiyono, and Amalia, “Expert System for Diagnosing Osteoarthritis with Fuzzy Tsukamoto Method,” J. Phys. Conf. Ser., vol. 1641, no. 1, 2020, doi: 10.1088/1742-6596/1641/1/012107.

M. Niki Ratama, “Implementasi Metode Fuzzy Tsukamoto Untuk Deteksi Dini Autisme Pada Balita Berbasis Android,” vol. 3, no. 2, 2020.

R. Permana, R. Sovia, and H. P. Putra, “Sistem Pakar Certainty Factor Dalam Mendiagnosis Indikasi Penyakit Katarak Pada Anak,” Sebatik, vol. 24, no. 1, pp. 136–142, 2020.

E. Agusriadi, “Sistem Pakar dalam Menganalisis Penyakit Organ dan Jaringan Tubuh dengan Metode Perceptron dan Fitur Augmented Reality.” Universitas Putra Indonesia YPTK, 2022.

I. S. Batubara, “Induced pluripotent stem cells and genome editing technology as therapeutic strategies for Duchenne muscular dystrophy,” J. thee Med. Sci. (Berkala Ilmu Kedokteran), vol. 53, no. 1, pp. 87–102, 2021, doi: 10.19106/jmedsci005301202109.

Annisa, A. Aulianur, F. Luthfiyah, and A. Mahdi, “Tomat Bike (Automatic Bike) untuk Stimulasi pada Gangguan SistemGerak,” J. Penelit. Pendidik. Khusus, vol. 7, no. 2, pp. 91–96, 2019.

I. Anggraeni and Y. Yanti, “Sistem Pemantauan Pertumbuhan Batita Menggunakan Metode Fuzzy Tsukamoto,” Komputasi J. Ilm. Ilmu Komput. dan Mat., vol. 17, no. 1, pp. 346–353, 2020, doi: 10.33751/komputasi.v17i1.1749.

J. Salendah, P. Kalele, A. Tulenan, and J. S. R. Joshua, “Penentuan Beasiswa Dengan Metode Fuzzy Tsukamoto Berbasis Web Scholarship Determination Using Web Based Fuzzy Tsukamoto Method,” in Seminar Nasional Ilmu Komputer (SNASIKOM), 2022, vol. 2, no. 1, pp. 81–90.

D. O. Kurniawati and T. F. Efendi, “Penerapan Metode Fuzzy Tsukamoto Dalam Diagnosa Penyakit Demam Berdarah,” J. Inform. Komput. dan Bisnis, vol. 1, no. 02, pp. 68–77, 2021.

F. D. Ragestu and A. J. P. Sibarani, “Penerapan Metode Fuzzy Tsukamoto Dalam Pemilihan Siswa Teladan di Sekolah,” Teknika, vol. 9, no. 1, pp. 9–15, 2020.

S. Maryam, E. Bu’Ulolo, and E. Hatmi, “Penerapan Metode Fuzzy Mamdani dan Fuzzy Tsukamoto Dalam Menentukan Harga Mobil Bekas,” J. Informatics, Electr. Electron. Eng., vol. 1, no. 1, pp. 10–14, 2021.


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Published

2024-06-29

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