Perbandingan Metode Dempster Shafer, Case-Based Reasoning dan Certainty Factor dalam Diagnosis Penyakit Craniopharyngioma
Abstract
Craniopharyngioma is a rare benign brain tumor that originates from embryonic tissue of the pituitary gland. It is a type of brain tumor that develops near the pituitary gland at the base of the skull. Its prevalence is approximately 2-4% of all brain tumor cases. Collaboration among the medical team is crucial in providing optimal perioperative care. In diagnosing craniopharyngioma, an expert system can be utilized. The Expert System aids in identifying problems and providing appropriate solutions. Its existence can expedite the process of problem identification and system repair. Additionally, the Expert System can also help reduce consultation costs with experts, as it can provide solutions comparable to those given by experts. This study aims to compare the results of the Dempster-Shafer, Case-Based Reasoning, and Certainty Factor methods in diagnosing craniopharyngioma. The study will determine the percentage results of the Dempster-Shafer, Case-Based Reasoning, and Certainty Factor methods in diagnosing craniopharyngioma to ascertain which method is most accurate in diagnosing the disease. The percentage results from the application of the DS and CF methods yielded the same result of 99.8%, whereas the CBR method only achieved a diagnosis percentage of 51.4% for craniopharyngioma. Hence, it can be observed that the CBR method yields the lowest percentage diagnosis for craniopharyngioma.
Downloads
References
A. F. Q. Haq, “Deteksi tumor otak menggunakan Modification LU-NET berbasis CITRA MRI.” Universitas Islam Negeri Maulana Malik Ibrahim, 2022.
W. HELDA, “ASUHAN KEPERAWATAN PADA Tn. S DENGAN DIAGNOSA MEDIS PRE OP TUMOR SEREBRI DI RUANG H1 RSPAL Dr. RAMELAN SURABAYA.” STIKES HANG TUAH SURABAYA, 2022.
A. Metrisiawan, N. Juwita, and I. P. P. Suarjaya, “Manajemen Perioperative pada Pasien Tumor Craniopharygioma,” Maj. Anest. Crit. Care, vol. 41, no. 1, pp. 42–50, 2023.
A. NOVITA, “ASUHAN KEPERAWATAN PADA PASIEN DENGAN POST OPERASI EKSISI TUMOR OTAK DIRUANG H1 RSPAL Dr. RAMELAN SURABAYA.” STIKES HANG TUAH SURABAYA, 2022.
I. Sagewa, “Perbandingan Metode Learning Vector Quantization 2.1 (Lvq 2.1) Dan Learning Vector Quantization 3 (Lvq 3) Untuk Klasifikasi Sel Tumor Otak,” Repos. Uin Suska Riau, 2019.
Y. P. Pasrun and A. T. Sumpala, “Sistem Pakar Diagnosis Penyakit Kulit Wajah Menggunakan Metode Dempster Shafer,” J. Sains dan Sist. Teknol. Inf., vol. 5, no. 1, pp. 103–108, 2023.
B. D. Meilani, F. Nuryansyah, and R. Arief, “Penerapan Sistem Pakar Menggunakan Metode Certainty Factor pada Penyakit Ibu Hamil,” in Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK), 2023, vol. 1, no. 1, pp. 416–422.
A. Suprika, “SISTEM PAKAR DIAGNOSA PENYAKIT INFEKSI SALURAN PENCERNAAN MENGGUNAKAN METODE CERTAINTY FACTOR,” J. Teknol. Pint., vol. 3, no. 3, 2023.
S. Novita, H. Aspriyono, and L. Elfianty, “Sistem Pakar Identifikasi Penyakit Hipertensi Pada Ibu Hamil Menggunakan Metode Certainty Factor,” JUKI J. Komput. dan Inform., vol. 5, no. 1, pp. 43–51, 2023.
H. Amnur, I. Rahmayuni, and Y. Aldi, “Perbandingan Metode Certainty Factor Dengan Forward Chaining Pada Sistem Pakar Skrining Kehamilan Resiko Tinggi,” JITSI J. Ilm. Teknol. Sist. Inf., vol. 4, no. 1, pp. 23–27, 2023.
L. Sitinjak, P. sari Ramadhan, and A. Syahputri, “Sistem Pakar Mendiagnosa Penyakit Demam Berdarah Dengue (DBD) Pada Anak Metode Dempster Shafer,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 2, no. 1, pp. 49–56, 2023.
R. Hannum, M. A. P. Siregar, and N. I. Syaputri, “Penerapan metode dempster shafer untuk mendiagnosis penyakit pada tanaman kol,” J. Bayesian J. Ilm. Stat. dan Ekon., vol. 3, no. 1, 2023.
A. Iskandar, “Sistem Pakar Dalam Mendiagnosa Penyakit Parkinson Menerapkan Metode Dempster-Shafer,” J. Inf. Syst. Res., vol. 4, no. 3, pp. 847–854, 2023.
U. Salamah and R. Ramadhan, “Analisis Perbandingan Metode Dempster Shafer Dan Certainty Factor Dalam Mendeteksi Penyakit Anemia,” JSAI (Journal Sci. Appl. Informatics), vol. 6, no. 2, pp. 138–146, 2023.
S. Pulungan, M. Fakhriza, and A. M. Harahap, “Sistem Pakar Mendiagnosa Penyakit Kanker Nasofaring Sejak Dini Menggunakan Metode Dempster Shafer Berbasis Web,” J. Ilm. Sist. Inf. dan Ilmu Komput., vol. 3, no. 2, pp. 59–86, 2023.
M. Furqan, Y. R. Nasution, and A. N. Siregar, “PENERAPAN SISTEM PAKAR DIAGNOSIS PERADANGAN PULPA GIGI DENGAN METODE CERTAINTY FACTOR,” Technol. J. Ilm., vol. 14, no. 2, pp. 152–156, 2023.
A. Irawan, “SISTEM PAKAR DIAGNOSIS PENYAKIT KELAMIN MENGGUNAKAN METODE CERTAINTY FACTOR (CF),” J. Teknol. Pint., vol. 3, no. 2, 2023.
P. A. Suherman and F. Tahel, “Metode Case-Based Reasoning Dalam Diagnosa Penyakit Stunting Pada Balita,” Inf. Syst. Data Sci., vol. 2, no. 1, pp. 90–97, 2023.
E. Sutanty and D. K. Astuti, “Kombinasi Case-Based Reasoning dan Rule-Based Reasoning Pada Sistem Pakar Deteksi Awal Covid-19: Combination of Case-Based Reasoning and Rule-Based Reasoning in Expert Systems For Early Detection of Covid-19,” Decod. J. Pendidik. Teknol. Inf., vol. 3, no. 1, pp. 94–105, 2023.
R. A. Pamungkas and L. D. Farida, “Implementasi dempster shafer untuk deteksi dini gizi buruk pada balita,” J. Pseudocode, vol. 10, no. 1, pp. 21–29, 2023.
T. Lerisa, B. Sembiring, A. Alhafiz, and T. Syahputra, “Sistem Pakar Mendiagnosa Radang Usus Pada Pencernaan Manusia Dengan Metode Dempster Shafer,” J. Sist. Inf. TGD, vol. 2, no. 3, pp. 443–451, 2023.
A. H. Nasyuha, Y. Syahra, M. I. Perangin-angin, and D. R. Habibie, “Sistem Pakar Dalam Mendiagnosis Penyakit Leishmaniasis Menerapkan Metode Case-Based Reasoning ( CBR ),” J. MEDIA Inform. BUDIDARMA, vol. 7, no. April, pp. 747–755, 2023, doi: 10.30865/mib.v7i2.6057.
A. Wijayanti, F. N. Arifah, D. E. Putri, M. D. Satriyanto, and S. Sallu, “Sistem Pakar Dalam Mendiagnosa Penyakit Tubercolosis dengan mengimplementasikan Metode Case Based Reasoning,” J. Comput. Syst. Informatics, vol. 4, no. 3, p. 570−577, 2023, doi: 10.47065/josyc.v4i3.3409.
N. Sigani, B. A. Masse, and N. Nurdin, “Sistem Pakar Untuk Mendiagnosa Penyakit Mata Manusia Menggunakan Metode Fuzzy Logic,” J. Elektron. Sist. Inf. dan …, vol. 2, no. 10, pp. 1–14, 2022, [Online]. Available: http://www.jesik.web.id/index.php/jesik/article/view/94%0Ahttp://www.jesik.web.id/index.php/jesik/article/download/94/69
S. Andi, “Sistem Pakar Identifikasi Penyakit Paru-Paru Menggunakan Metode Certainty Factor,” IT J., vol. 4, no. 2, pp. 2252–746X, 2011.
A. Yolla and K. Puspita, “Sistem Pakar Mendiagnosa Penyakit Pada Hati Menggunakan Metode Certainty Factor (CF) Berbasis Web,” Inf. Syst. Data Sci., vol. 2, no. 1, pp. 98–107, 2023.
E. P. Dewi, M. Zunaidi, and F. Sonata, “Sistem Pakar Dalam Mendiagnosa Penyakit Abses Periodontal (Gusi Bernanah) Menggunakan Dempster Shafer,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 2, no. 2, pp. 219–228, 2023.
M. Z. RAZAK, “SISTEM PAKAR DIAGNOSA PENYAKIT DIFTERI PADA ANAK MENGGUNAKAN METODE DEMPSTER-SHAFER.” UNIVERSITAS ISLAM NEGERI SULTAN SYARIF KASIM RIAU, 2023.
D. Y. Niska, F. H. Harahap, N. A. Fitria, G. P. P. Sirait, and Y. T. P. Purba, “Sistem Pakar Deteksi Gangguan Kesehatan Akibat Tekanan Suhu Terhadap Tubuh Menggunakan Metode Dempster Shafer,” J. Teknol. Sist. Inf. dan Sist. Komput. TGD, vol. 6, no. 1, pp. 34–41, 2023.
R. M. Ndang and B. Imran, “RANCANG BANGUN SISTEM PAKAR DIAGNOSA PENYAKIT PADA TANAMAN CABAI DENGAN METODE CERTAINTY FACTOR,” J. Kecerdasan Buatan dan Teknol. Inf., vol. 2, no. 1, pp. 11–19, 2023.
Safri, “Sistem Pakar Mendiagnosa Penyakit Kraniofaringioma Dengan Menggunakan Metode Hybrid Case Based,” J. Maj. Ilm. Inf. dan Teknol. Ilm., vol. 7, no. 1, pp. 51–57, 2019.
D. Yulianto, “Sistem Pakar Diagnosa Penyakit THT Menggunakan Metode Dempster Shafer.” University of Muhammadiyah Malang, 2019.
R. Ardiansyah, F. Fauziah, and A. Ningsih, “Sistem Pakar Untuk Diagnosa Awal Penyakit Lambung Menggunakan Metode Dempster-Shafer Berbasis Web,” J. Ilm. Teknol. Dan Rekayasa, vol. 24, no. 3, pp. 182–196, 2020.
Y. Wiguna, F. Taufik, and A. H. Nasyuha, “Sistem Pakar Mendiagnosa Penyakit Batu Karang Menggunakan Metode Dempster Shafer,” J. Teknol. Sist. Inf. dan Sist. Komput. TGD, vol. 5, no. 1, pp. 66–75, 2022.
C. Nas, “Sistem Pakar Diagnosa Penyakt Tiroid Menggunakan Metode Dempster Shafer,” J. Teknol. Dan Open Source, vol. 2, no. 1, pp. 1–14, 2019.
A. M. Buna and C. Y. Gobel, “Penerapan Metode Certainty Factor untuk Sistem Pakar Diagnosa Penyakit Degeneratif,” JURIKOM (Jurnal Ris. Komputer), vol. 10, no. 2, pp. 627–632, 2023.
S. F. Dianti, “Sistem Pakar Diagnosa Penyakit Hipotermia Menggunakan Metode Certainty Factor,” J. Sist. Cerdas, vol. 6, no. 1, pp. 54–64, 2023.
N. S. Rahayu, J. Prayudha, and D. Suherdi, “Sistem Pakar Mendiagnosa Penyakit Appendicitis Menggunakan Metode Certainty Factor,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 2, no. 3, pp. 345–354, 2023.
S. R. Maulana, L. Affandi, and M. Haniah, “Sistem Pakar Diagnosa Penyakit Paru-Paru Menggunakan Metode Case Based Reasoning,” J. Inform. Polinema, vol. 9, no. 2, pp. 193–200, 2023.
D. T. Gunawan and W. Hadikurniawati, “Sistem Pakar Diagnosa Penyakit Sapi Menggunakan Metode Case Based Reasoning (CBR),” J. Tek. Inform. UNIKA St. Thomas, pp. 9–18, 2023.
M. F. Roji and M. Alamsyah, “SYSTEM PENDUKUNG KEPUTUSAN DIAGNOSA PENYAKIT LAMBUNG MENGGUNAKAN METODE CBR,” SPIRIT, vol. 15, no. 1, 2023.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Perbandingan Metode Dempster Shafer, Case-Based Reasoning dan Certainty Factor dalam Diagnosis Penyakit Craniopharyngioma
Pages: 1354-1363
Copyright (c) 2023 Agus Iskandar

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).






















