Sistem Pakar Mendiagnosa Penyakit Pada Tumor Otak Menggunakan Metode Case Based Reasoning (CBR): Studi Kasus : RSUD Dr.R.M. Djoelham

Mhd Arif Permata ; Yani Maulita ; Victor Maruli Pakpahan
Modem : Jurnal Informatika dan Sains Teknologi 📅 2024 Vol 2, No 4 🔗 DOI: 10.62951/modem.v2i4.253
Abstract
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.
Keywords
Expert System; Brain Tumor; Case Based Reasoning; Medical Diagnosis; Knowledge Base
How to Cite

Mhd Arif Permata, et al. (2024). Sistem Pakar Mendiagnosa Penyakit Pada Tumor Otak Menggunakan Metode Case Based Reasoning (CBR): Studi Kasus : RSUD Dr.R.M. Djoelham. Modem : Jurnal Informatika dan Sains Teknologi, 2(4). https://doi.org/10.62951/modem.v2i4.253

Mhd Arif Permata; Yani Maulita; Victor Maruli Pakpahan, "Sistem Pakar Mendiagnosa Penyakit Pada Tumor Otak Menggunakan Metode Case Based Reasoning (CBR): Studi Kasus : RSUD Dr.R.M. Djoelham," Modem : Jurnal Informatika dan Sains Teknologi, vol. 2, no. 4, 2024.

Mhd Arif Permata; Yani Maulita; Victor Maruli Pakpahan. "Sistem Pakar Mendiagnosa Penyakit Pada Tumor Otak Menggunakan Metode Case Based Reasoning (CBR): Studi Kasus : RSUD Dr.R.M. Djoelham." Modem : Jurnal Informatika dan Sains Teknologi, vol. 2, no. 4, 2024.

Mhd Arif Permata; Yani Maulita; Victor Maruli Pakpahan. "Sistem Pakar Mendiagnosa Penyakit Pada Tumor Otak Menggunakan Metode Case Based Reasoning (CBR): Studi Kasus : RSUD Dr.R.M. Djoelham." Modem : Jurnal Informatika dan Sains Teknologi 2, no. 4 (2024).

Mhd Arif Permata, et al. (2024) 'Sistem Pakar Mendiagnosa Penyakit Pada Tumor Otak Menggunakan Metode Case Based Reasoning (CBR): Studi Kasus : RSUD Dr.R.M. Djoelham', Modem : Jurnal Informatika dan Sains Teknologi, 2(4). doi: 10.62951/modem.v2i4.253.

Mhd Arif Permata; Yani Maulita; Victor Maruli Pakpahan. Sistem Pakar Mendiagnosa Penyakit Pada Tumor Otak Menggunakan Metode Case Based Reasoning (CBR): Studi Kasus : RSUD Dr.R.M. Djoelham. Modem : Jurnal Informatika dan Sains Teknologi. 2024;2(4).

Artikel Terkait

Pengembangan Sistem Informasi Pengelolaan Arsip Program Pembangunan Desa Kalembu Kanaika Kecamatan Wewewa Barat

Nimrod Renda Dadi; Stefanus D.I. Mau; Alexander Adis

Penerapan Aplikasi Penjadwalan Mata Pelajaran di SMPK Flos Carmeli Menggunakan Algoritma MVC

Maria Anita Bili; Stefanus D.I. Mau; Diana Reby Sabawaly

Sistem Informasi Perpustakaan SMK N 3 Kendal Berbasis QR Code

B. Suhartono; Fella Fella

Deteksi Rambu Lalu Lintas Indonesia Menggunakan Transfer Learning

Anini Nihayah; Ghozi Murtadho; Ika Marlisa Raharjo

Perancangan dan Implementasi Human Resource Information System (HRIS)

Martono Martono

Analisis dan Evaluasi Kredit Macet Anggota Koperasi pada Koperasi Simpan Pinjam Cu Mera Ndi Ate

Marjelin Putri Ndaparoka; Stefanus D.I. Mau; Sihang Gregorius Bali Mema
Tren Sitasi Jurnal