Analisis Perbandingan Metode Teorema Bayes, Case-Based Reasoning, dan Dempster-Shafer untuk Mendiagnosis Penyakit Lambung
-
Bernadus Gunawan Sudarsono
*
Universitas Bhayangkara Jakarta Raya, Bekasi,
Indonesia
- Dwi Lestari Universitas Bung Karno, Jakarta Pusat, Indonesia (*) Corresponding Author
Abstract
Gastric diseases, such as gastritis, GERD, and peptic ulcers, are significant health problems with high prevalence in the community. The process of diagnosing these diseases is often hampered by symptoms that overlap with other health disorders, limited experience of medical personnel, and incomplete patient symptom data. This condition can lead to misdiagnosis and ineffective treatment. Therefore, a system is needed that can support the diagnosis process more accurately and efficiently. This study compares three intelligent system-based diagnostic methods, namely Bayes' Theorem, Case-Based Reasoning (CBR), and Dempster-Shafer Theory. Bayes' Theorem analyzes the probability of the relationship between symptoms and diseases, CBR compares new cases with previous cases, while Dempster-Shafer Theory handles data uncertainty to produce a level of diagnostic confidence. The analysis was carried out using gastric disease symptom data that has been collected from the literature and medical surveys. This study contributes by presenting a comparative analysis of the advantages and disadvantages of each method in diagnosing gastric disease. The aim is to determine the most effective method in improving diagnostic accuracy and the efficiency of the medical decision-making process. The preliminary results show a comparison between Bayes' Theorem, Case-Based Reasoning, and Dempster Shafer showing that Gastroesophageal Reflux Disease has the highest confidence level, followed by Gastritis, while Gastric Ulcer has the lowest confidence level in all methods.
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References
Y. E. B. Mawartika, “Implementasi Metode Case Based Reasoning untuk Mendiagnosa Penyakit Lambung,” Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Lubuklinggau, vol. 3, no. 2, pp. 39–46, 2021, doi: 10.52303/jb.v3i2.54.
E. S. Susanto, H. Herfandi, and M. Rizky, “Sistem Pakar Untuk Mendiagnosa Penyakit Asam Lambung,” Jurnal Mnemonic, vol. 5, no. 2, pp. 184–190, 2022, doi: 10.36040/mnemonic.v5i2.5192.
M. Ramadhan, B. Anwar, R. Gunawan, and R. Kustini, “Sistem Pakar Untuk Mendiagnosa Penyakit Pada Tanaman Kopi Menggunakan Metode Teorema Bayes,” Journal of Science and Social Research, vol. 4, no. 2, pp. 115–121, 2021, doi: 10.54314/jssr.v4i2.533.
B. Sapriatin and F. A. Sianturi, “Penerapan Teorema Bayes Mendeteksi Stunting pada Balita,” Jurnal Media Informatika, vol. 3, no. 1, pp. 24–37, 2021, doi: 10.55338/jumin.v3i1%20Desember.203.
H. Marfalino, T. Novita, and D. Djesmedi, “Sistem Pakar Diagnosa Penyakit Saluran Pencernaan Pada Manusia Dengan Metode Cased Based Reasoning,” Jurnal Sains Informatika Terapan, vol. 1, no. 2, pp. 83–88, 2022, doi: 10.62357/jsit.v1i2.65.
H. A. Rahman, “Sistem Pakar dalam Mendeteksi Kerusakan Laptop dengan Metode Case Based Reasoning,” Jurnal Sistim Informasi dan Teknologi, no. 3, pp. 71–76, 2020, doi: 10.37034/jsisfotek.v2i3.25.
H. Syahputra, “Perancangan Aplikasi Sistem Pakar Untuk Pengobatan Bekam Dengan Metode Dempster Shafer,” Jurnal Sains Informatika Terapan, vol. 2, no. 3, pp. 74–78, 2023, doi: 10.62357/jsit.v2i3.187.
N. Purnomo, R. M. Suri, D. Yuliana, and M. Rasyid, “Sistem Pakar Identifikasi Penyakit Kulit Melanoma dengan Metode Teorema Bayes,” Jurnal KomtekInfo, vol. 10, no. 2, pp. 56–63, 2023, doi: 10.35134/komtekinfo.v10i2.368.
M. Mustaqim, A. G. Ramadhan, and A. Iskandar, “Perbandingan Metode Certainty Factor dan Case Based Reasoning Dalam Mendeteksi Penyakit Arteritis Takayasu,” KLIK: Kajian Ilmiah Informatika dan Komputer, vol. 4, no. 4, pp. 2188–2196, 2024, doi: 10.30865/klik.v4i4.1735.
M. Syahputra, “Sistem pakar mendiagnosa penyakit ensefalitis menggunakan metode Dempster Shafer,” Jurnal SANTI-Sistem Informasi dan Teknik Informasi, vol. 2, no. 1, pp. 1–9, 2022, doi: 10.58794/santi.v2i1.39.
H. Hafizah, “Sistem Pakar Untuk Pendiagnosaan Karies Gigi Menggunakan Teorema Bayes,” Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD, vol. 4, no. 1, pp. 103–111, 2021, doi: 10.53513/jsk.v4i1.2625.
S. Nainggolan and F. A. Sianturi, “Sistem Pakar Mendiagnosa Penyakit Kulit Menggunakan Metode Metode Teorema Bayes,” Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI), vol. 3, no. 1.1, pp. 192–196, 2020, doi: 10.9767/jikomsi.v3i1.1.115.
R. Risdiana, H. Manurung, and M. Simanjuntak, “Penerapan Metode Teorema Bayes untuk Memprediksi Penyakit Tifus,” Saturnus: Jurnal Teknologi dan Sistem Informasi, vol. 2, no. 4, pp. 307–316, 2024, doi: 10.61132/saturnus.v2i4.365.
S. J. Siregar and K. Sari, “Sistem Pakar Menggunakan Teorema Bayes Dalam Rekomendasi Penentuan Jenis Anestesi Pada Pasien,” Building of Informatics, Technology and Science (BITS), vol. 4, no. 2, pp. 1104–1110, 2022, doi: 10.47065/bits.v4i2.2226.
Y. F. Astrawinata, J. Triono, and P. Utomo, “Sistem Pakar Penentuan Penempatan Karyawan Terhadap Bidang Pekerjaan Berbasis Web Dengan Metode Case Based Reasoning Studi Kasus CV. Mitra Tehnik,” Journal of Information Technology Ampera, vol. 2, no. 2, pp. 90–104, 2021, doi: 10.51519/journalita.volume2.isssue2.year2021.page90-104.
S. A. Rahman and S. Sumijan, “Sistem Pakar Menggunakan Metode Case Based Reasoning dalam Akurasi Penyakit Disebabkan oleh Bakteri Staphylococcus Aureus,” Jurnal Sistim Informasi dan Teknologi, no. 1, pp. 13–19, 2021, doi: 10.37034/jsisfotek.v3i1.38.
S. Pulungan, M. Fakhriza, and A. M. Harahap, “Sistem Pakar Mendiagnosa Penyakit Kanker Nasofaring Sejak Dini Menggunakan Metode Dempster Shafer Berbasis Web,” Jurnal ilmiah Sistem Informasi dan Ilmu Komputer, vol. 3, no. 2, pp. 59–86, 2023, doi: 10.55606/juisik.v3i2.486.
M. T. Hidayatuloh and T. N. Suharsono, “Sistem Pakar Diagnosis Penyakit Infeksi Saluran Pernapasan Akut (ISPA) Menggunakan Metode Dempster Shafer,” Digital Transformation Technology, vol. 3, no. 2, pp. 489–498, 2023, doi: 10.47709/digitech.v3i2.2894.
R. Ardiansyah, F. Fauziah, and A. Ningsih, “Sistem pakar untuk diagnosa awal penyakit lambung menggunakan metode dempster-shafer berbasis web,” Jurnal Ilmiah Teknologi Dan Rekayasa, vol. 24, no. 3, pp. 182–196, 2020, doi: 10.35760/tr.2019.v24i3.2395.
S. Setiyani and P. T. Prasetyaningrum, “Penerapan Metode Naive Bayes Classifier Pada Sistem Pakar Diagnosa Penyakit Lambung,” Jurnal Sistem Informasi Dan Bisnis Cerdas (SIBC) Vol, vol. 14, no. 2, 2021, doi: 10.33005/sibc.v14i2.2631.
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