Sistem Pakar Mendiagnosa Penyakit Pada Tumor Otak Menggunakan Metode Case Based Reasoning (CBR)
Studi Kasus : RSUD Dr.R.M. Djoelham
DOI:
https://doi.org/10.62951/modem.v2i4.253Keywords:
Expert System, Brain Tumor, Case Based Reasoning, Medical Diagnosis, Knowledge BaseAbstract
This research aims to develop an expert system that can diagnose diseases related to brain tumors using the Case Based Reasoning (CBR) method. The CBR method works by comparing new cases with previous cases that have been stored in the database to provide appropriate diagnoses and treatment recommendations. This system is designed to assist medical personnel in analyzing patient symptoms, thus speeding up the process of identifying the type of brain tumor. In addition, the system is also equipped with a knowledge base obtained from real cases that have been validated by medical experts. Test results show that the diagnostic accuracy of this system reaches a fairly high level, especially in detecting frequently encountered types of brain tumors. Thus, this system has the potential to be an effective tool in the medical diagnosis process, especially in patients who show symptoms of brain tumors.
Downloads
References
Andre, R., Wahyu, B., & Purbaningtyas, R. (2021). Klasifikasi tumor otak menggunakan convolutional neural network dengan arsitektur EfficientNet-B3. Jurnal Just IT, 11(3). https://jurnal.umj.ac.id/index.php/just-it/index
Budiman, O. I., Saori, S., Anwar, R. N., Pangestu, M. Y., Administrasi Bisnis, J., Ilmu Administrasi dan Humaniora, F., & Muhammadiyah Sukabumi, U. (2021). Analisis pengendalian mutu di bidang industri makanan (Studi kasus: UMKM Mochi Kaswari Lampion Kota Sukabumi).
Hendriani, S., Nurcahyo, G. W., & Yuhandri, Y. (2021). Sistem pakar dalam mengidentifikasi penanda minat karakteristik ekstrakurikuler berbasis case based reasoning. Jurnal Informasi dan Teknologi, 209–214. https://doi.org/10.37034/jidt.v3i4.154
Neyman, Andreswari, D., Purnama Sari, J., Asmika, V., Studi Informatika, P., Teknik, F., Bengkulu, U., Supratman Kandang Limun Bengkulu, J. W., & Indonesia, A. (2022). Implementasi case based reasoning untuk mendiagnosis gangguan pada sistem pencernaan manusia menggunakan algoritma similaritas. Jurnal Rekursif, 10(1). http://ejournal.unib.ac.id/index.php/rekursif/12
Rosmini, R., Syafiqoh, U., & Asmah, A. (2023). Implementasi case based reasoning (CBR) untuk pengembangan sistem pakar diagnosa penyakit gigi. Jurnal Media Informatika Budidarma, 7(3), 1455. https://doi.org/10.30865/mib.v7i3.6261
Suharni, Susilowati, E., & Pakusadewa, F. (2023). Perancangan website rumah makan Ninik sebagai media promosi menggunakan unified modelling language.
Yanuardi. (2019). Rancang bangun aplikasi diagnosa penyakit umum berbasis android pada Klinik Citra Raya Medika.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Modem : Jurnal Informatika dan Sains Teknologi.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.