Penerapan Metode Hybrid Case Base Pada Sistem Pakar Diagnosa Penyakit Jantung
Abstract
Many people have died of sudden heart attacks. The role of a specialist doctor is very necessary to overcome this, but the role of the doctor is also bumped due to limitations in terms of numbers and hours worked. In addition, in general, people with heart disease often ignore and do not understand the causes and symptoms of heart disease. Most patients are reluctant to have their heart health checked because they are constrained by expensive medical expenses, as well as a lack of service to patients. In the process of consulting for heart disease, the patient must come to the hospital and do an examination in person which of course must go through a series of procedures starting from registration onwards to get results. To overcome this problem, an expert system application is needed for the early diagnosis of heart disease. The purpose of this study was to build a web-based system of heart disease diagnosis expert applications. This expert system application uses the Hybrid Case Base method which is a combination of the Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR) systems. The RBR system and the CBR system have their advantages and disadvantages. The analysis and design of the systems used are UML and Entity Relationship Diagrams. In this expert system application, patients will consult by answering several questions about the symptoms of heart disease displayed by the system by checking the symptoms they experience. Then the system will provide diagnostic results based on the symptoms experienced by the patient. The results of this study can diagnose the type of heart disease experienced by patients and their treatment solutions and what percentage of the patient is likely to suffer from the disease quickly
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References
D. I. W. Yuanita and D. O. Marleen, “PEMBUATAN SITUS SISTEM PAKAR UNTUK MENDIAGNOSA GANGGUAN SISTEM PENCERNAAN PADA MANUSIA,” 2014.
A. P. Purnama and R. Kurniawan, “Kajian Literatur Metode Sistem Pakar pada Penanganan Kesehatan Gigi dan Mulut,” 2019.
A. Imran, “IMPLEMENTASI SISTEM PAKAR DIAGNOSA PENYAKIT EPISTAKSIS PADA MANUSIA MENGGUNAKAN METODE HYBRID CASE BASED DAN RULE BASED REASONING,” J. Maj. Ilm. Inf. dan Teknol. Ilm., vol. 7, no. 1, pp. 85–92, 2019.
N. FAJAR, AGUNG, “PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT JANTUNG DENGAN METODE FORWARD CHAINING,” J. Inform. Univ. PAMULANG, vol. 3, no. 2, pp. 75–79, 2018.
Dona, H. Maradona, and Masdewi, “SISTEM PAKAR DIAGNOSA PENYAKIT JANTUNG DENGAN METODE CASE BASED REASONING (CBR),” Zo. Junarl Sist. Inf., vol. 3, no. 1, pp. 1–12, 2021.
M. Cindy, Pamela Cornelia, R. Vivi, Peggie, M. Hiskia, Kamang, and B. Nancy, Silvia, “Implementasi Sistem Pakar Diagnosa Penyakit Jantung Pada Manusia,” J. Sains dan Teknol., vol. 1, no. 2, pp. 201–206, 2018.
M. Fauzan, “Sistem Pakar Mendiagnosa Penyakit Kandungan Kemih Dengan Menerapkan Metode Hybrid Case Base,” J. Inf. DAN Teknol. Ilm., vol. 7, no. 3, pp. 264–268, 2020.
A. L. SP, “Sistem Pakar Mendiagnosa Penyakit Kolera Menerapkan Metode Hybrid Case Based,” Heal. Contemp. Technol. J., vol. 1, no. 1, pp. 13–19, 2020.
Rizky Delilah Rambe, “Sistem Pakar Mendiagnosa Penyakit Kanker Usus Besar Pada Manusia Dengan Menerapkan Metode Hybrid Case Based,” J. Ris. Komput., vol. 6, no. 6, pp. 606–611, 2019.
R. Wahyuni, “Jurnal APLIKASI SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT CAMPAK DAN PENCEGAHAN DENGAN METODE FORWARD CHAINING BERBASIS WEB,” J. Ilmu Komput., vol. 8, no. 2, 2019.
D. Aldo, “Sistem Pakar Diagnosis Hama Dan Penyakit Bawang Merah Menggunakan Metode Dempster Shafer,” KOMPUTIKA J. Sist. Komput., vol. 9, no. 2, 2020.
S. Nelly Astuti Hasibuan, Hery Sunandar, Senanti Alas, “SISTEM PAKAR MENDIAGNOSA PENYAKIT KAKI GAJAH MENGGUNAKAN METODE CERTAINTY FACTOR,” JURASIK (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 2, no. 1, 2017.
N. Lannywati, Ghani; Made, Dewi, Susilawati; Harli, “Faktor Risiko Dominan Penyakit Jantung Koroner di Indonesia,” Bul. Penelit. Kesehat., vol. 44, no. 3, pp. 153–164, 2016.
A. Vicky, Agnes, F. Iskandar, and M. Eri, “Implementasi Metode Penalaran CBR dalam Mengidentifikasi Gejala Awal Penyakit Jantung menggunakan Algoritma Sorensen Coeffient,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 5, no. 306–313, 2021.
M. Sita and A. Sigit, “Sistem Diagnosa Penyakit Jantung Berbasis Case Based Reasoning (CBR),” in Seminar Nasional Hasil Penelitian dan Pengabdian Masyarakat 2021, 2021, pp. 1–11.
A. Romadhony, S. Saadhah, and M. A. Irfandi, “Implementasi Sistem Pakar Diagnosa Penyakit Gigi Dan Mulut Menggunakan Metode Hybrid Case Based dan Rule Based Reasoning,” in Indonesia Symposium On Computing, 2015, pp. 2460–3295.
E. D. Simanjuntak, H. Sunandar, and R. K. Hondro, “Implementasi Metode Hybrid Case-Based Reasoning Untuk Mendiagnosa Pengidap Penyakit Post-Traumatic Stress Disorder(PTSD),” JURIKOM (Jurnal Ris. Komputer), vol. 7, no. 2, pp. 256–263, 2020.
P. Tarigan, “Sistem Pakar Untuk Mendiagnosa Penyakit Disentri Dengan Menggunakan Metode Hybrid Case Based,” J. Tek. Inform. Kaputama, vol. 2, no. 1, 2018.
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