Published: 2025-04-01
Implementasi Sistem Pakar untuk Diagnosis Penyakit Lambung Menggunakan Pendekatan Fuzzy Mamdani Berbasis Website
DOI: 10.35870/jtik.v9i2.3534
Ilham Roni Yansyah, Dewi Marini Umi Atmaja, Arif Rahman Hakim, Niko Suwaryo
- Ilham Roni Yansyah: Universitas Telkom ,
- Dewi Marini Umi Atmaja: Universitas Telkom ,
- Arif Rahman Hakim: Universitas Telkom ,
- Niko Suwaryo: Universitas Medika Suherman ,
Abstract
This study aims to develop a more specific diagnostic approach for various gastric diseases in humans, such as gastritis, peptic ulcers, gastric cancer, gastric tumors or polyps, dyspepsia, gastroesophageal reflux disease (GERD), gastroparesis, and gastroenteritis. This approach seeks to enhance the accuracy of disease identification based on more detailed symptoms. An expert system utilizing the Fuzzy Mamdani method is designed to reduce reliance on internal medicine specialists, enabling patients to gain preliminary insights into the type of gastric disease they may have. This expert system is implemented on a web-based platform, leveraging information technology to integrate large-scale databases, supporting efficiency, accuracy, and relevance to the latest developments in medical science. By analyzing digestive disorder symptoms, the system can provide detailed diagnoses, offer insights into identified symptoms, and recommend appropriate treatment solutions.
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Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 9 No. 2 (2025)
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Section: Computer & Communication Science
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Published: April 1, 2025
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License: CC BY 4.0
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Copyright: © 2025 Authors
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DOI: 10.35870/jtik.v9i2.3534
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Ilham Roni Yansyah
Program Studi Sistem Informasi, Fakultas Rekayasa Industri, Universitas Telkom, Kabupaten Bandung, Provinsi Jawa Barat, Indonesia.
Dewi Marini Umi Atmaja
Program Studi Sistem Informasi, Fakultas Rekayasa Industri, Universitas Telkom, Kabupaten Bandung, Provinsi Jawa Barat, Indonesia.
Arif Rahman Hakim
Program Studi Sistem Informasi, Fakultas Rekayasa Industri, Universitas Telkom, Kabupaten Bandung, Provinsi Jawa Barat, Indonesia.
Niko Suwaryo
Program Studi Bisnis Digital, Fakultas Ilmu Sosial dan Teknologi, Universitas Medika Suherman, Kabupaten Bekasi, Provinsi Jawa Barat, Indonesia.
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Ariawan, W. E., & Widiana, P. I. M. A. (2023). Sistem Pakar Mendiagnosa Penyakit Tiroid Menggunakan Metode Certainty Factor Berbasis Web. Jurnal Sutasoma, 1(2), 104-110. https://doi.org/10.58878/sutasoma.v1i2.192.
-
Assyifa, M. N. (2020). Aplikasi Sistem Pakar Berbasis Android Untuk Diagnosis Penyakit Gastroesophageal Reflux Disease (Gerd) Dengan Metode Certainty Factor. Jurnal Ilmiah Teknologi dan Rekayasa, 24(2), 78-90. https://doi.org/10.35760/tr.2019.v24i2.2387.
-
Chaniago, D. S. (2021). Aplikasi Kesehatan Menentukan Jenis Penyakit Lambung Dengan Mengambil Beberapa Gejala Menggunakan Metode Fuzzy-Mamdani. Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD, 4(1), 32-37. https://doi.org/10.53513/jsk.v4i1.2604.
-
Febriani, H. A., Wijaya, D. P., Pramuntadi, A., & Prastowo, W. D. (2024). Expert System for Diagnosis of Gastric Diseases Using Web-Based Employment Factors Method Sistem Pakar Diagnosa Penyakit Lambung Menggunakan Metode Certainty Factor Berbasis Web. Journal Homepage: https://journal. irpi. or. id/index. php/malcom, 4(4), 1290-1300.
-
Ghoba, A. K., Neno, F. E., & Adis, A. (2024). PENERAPAN METODE CASE BASE REASONING UNTUK MENDIAGNOSA PENYAKIT LAMBUNG PADA MANUSIA DI PUSKESMAS DELLU DEPA. JATI (Jurnal Mahasiswa Teknik Informatika), 8(6), 11792-11795.
-
Gustin, G., & Marcos, H. (2024). Sistem Pakar Diagnosis Penyakit Lambung Berdasarkan Gejala dan Citra Endoskopi Menggunakan Metode Forward Chaining dan CNN. Jurnal Tekno Kompak, 18(2), 392-401. https://doi.org/10.33365/jtk.v18i1.3944.
-
Maulid, E., & Maulana, U. I. (2019). Sistem Pakar Diagnosa Penyakit Ikan Hias Menggunakan Metode Certainty Factor. SENTINEL, 2(2), 198-205.
-
Meilani, B. D., Febrianti, H., & Uttungga, R. (2022, November). Implementasi metode certainty factor pada diagnosa penyakit lambung. In Prosiding Seminar Nasional Sains dan Teknologi Terapan.
-
Muhamasri, C. (2023). Sistem Pakar Untuk Diagnosa Awal Penyakit Lambung Dempster-Shafer Berbasis Web. J. SANTI-Sist. Inf. dan Tek. Inf, 1(3), 9-13.
-
Nurkholis, A., Riyantomo, A., & Tafrikan, M. (2017). Sistem pakar penyakit lambung menggunakan metode forward chaining. Jurnal Ilmiah MOMENTUM, 13(1). http://dx.doi.org/10.36499/jim.v13i1.1757.
-
Pangestu, A. E., Sukmana, Y. F., Handyka, H., Ramadhany, Z. D., Aji, A. P., Agustin, V., ... & Lestari, M. (2024). Sistem Pakar Diagnosa Penyakit Lambung dengan Metode Forward Chaining. Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI), 5(2), 415-423. https://doi.org/10.30998/jrami.v5i2.11072.
-
Setiyani, S., & Prasetyaningrum, P. T. (2021). Penerapan Metode Naive Bayes Classifier Pada Sistem Pakar Diagnosa Penyakit Lambung. Jurnal Sistem Informasi Dan Bisnis Cerdas (SIBC) Vol, 14(2).
-
Sinaga, M. D. S. M. D., & Fajrin, A. (2022). Sistem Pakar Diagnosa Penyakit Asam Lambung Pada Orang Dewasa Menggunakan Metode Forward Chaining Berbasis Web. Computer and Science Industrial Engineering (COMASIE), 7(7), 28-35.
-
Susanto, E. S., Herfandi, H., & Rizky, M. (2022). Sistem Pakar Untuk Mendiagnosa Penyakit Asam Lambung. Jurnal Mnemonic, 5(2), 184-190. https://doi.org/10.36040/mnemonic.v5i2.5192.
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