Rancang Bangun Aplikasi Sistem Pakar Diagnosis Penyakit Jantung: Studi Kasus pada Klinik Siaga Menggunakan Metode Case-Based Reasoning (CBR) Berbasis Web
DOI:
https://doi.org/10.58477/dj.v2i2.182Keywords:
Expert System, Case-Based Reasoning, Heart Disease, Web-Based SystemAbstract
In the era of modernization, technological advancements are developing rapidly and play an essential role in various aspects of life, including healthcare. Technology enables people to easily access information in fields such as business, education, and health. In the medical field, computer-based expert systems assist professionals in diagnosing diseases and solving specific problems. This study focuses on developing an expert system application for diagnosing heart diseases using the Case-Based Reasoning (CBR) method, implemented as a web-based system with PHP and MySQL. The heart, a vital organ responsible for pumping blood, is slightly larger than a fist (around 200–425 grams). According to Dr. Helmanu Kurniadi and Ulfa Nurrahmani, S.Kep., smoking is identified as one of the contributing factors to heart disease. The developed application consists of five primary elements, with several menus such as the homepage, user data, disease information, disease list, and login page. Based on black box testing, the application has been thoroughly tested to ensure it functions correctly and is free from coding errors. Additionally, acceptance testing was conducted eight times, resulting in a 100% accuracy rate, aligning with the intended design. Thus, the application is ready to be deployed and is expected to assist both the public and healthcare professionals in diagnosing heart diseases effectively.
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Aldisa, R. T., Azizah, A., & Abdullah, M. A. (2022). Analisis sentimen mengenai vaksin Sinovac di media sosial Twitter menggunakan metode Naïve Bayes classification. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 6(3), 448–452. https://doi.org/10.35870/jtik.v6i3.479
Arundy, V. A., Fitri, I., & Mardiani, E. (2021). Implementasi metode penalaran CBR dalam mengidentifikasi gejala awal penyakit jantung menggunakan algoritma Sorensen coefficient. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(3), 306–313. https://doi.org/10.35870/jtik.v5i3.220
Astrawinata, Y. F., Triono, J., & Utomo, P. (2021). 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, 2(2), 90–104. https://doi.org/10.51519/journalita.volume2.isssue2.year2021.page90-104
Booch, G., Jacobson, I., & Rumbaugh, J. (1996). The unified modeling language. Unix Review, 14(13), 5.
Dona, D., Maradona, H., & Masdewi, M. (2021). Sistem pakar diagnosa penyakit jantung dengan metode Case-Based Reasoning (CBR). ZONAsi: Jurnal Sistem Informasi, 3(1), 1–12.
Legito, Wattimena, F. Y., Yulianto Umar Rofi’i, & Munawir. (2023). E-commerce product recommendation system using Case-Based Reasoning (CBR) and K-means clustering. International Journal Software Engineering and Computer Science (IJSECS), 3(2), 162–173. https://doi.org/10.35870/ijsecs.v3i2.1527
Maulana, S. R., Affandi, L., & Haniah, M. (2023). Sistem pakar diagnosa penyakit paru-paru menggunakan metode Case-Based Reasoning. Jurnal Informatika Polinema, 9(2), 193–200. https://doi.org/10.33795/jip.v9i2.1225
Muharni, S., & Andriyanto, S. (2021). Sistem diagnosa penyakit jantung berbasis Case-Based Reasoning (CBR). Prosiding Seminar Nasional Darmajaya, 1, 1–11. https://jurnal.darmajaya.ac.id/index.php/PSND/article/view/2910
Nugroho, C., Wiranata, A. D., & Aldisa, R. T. (2022). Sistem pakar untuk mendeteksi gejala awal penyakit apendisitis dengan metode Case-Based Reasoning (CBR) berbasis mobile Android. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 6(4), 543–547. https://doi.org/10.35870/jtik.v6i4.553
Nugroho, F. A. (2018). Perancangan sistem pakar diagnosa penyakit jantung dengan metode forward chaining. Jurnal Informatika Universitas Pamulang, 3(2), 75.
Pinheiro da Silva, P., & Paton, N. W. (2000, October). UML i: The unified modeling language for interactive applications. In International Conference on the Unified Modeling Language (pp. 117–132). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-40011-7_9
Relahat, F. R. (2021). Sistem pakar diagnosa penyakit jantung pada masyarakat menggunakan metode forward chaining berbasis Android. Jurnal TransIT, 9(12), 73–80.
Sait, M. I., & Putri, R. A. (2023). Expert system diagnose eye diseases using Case-Based Reasoning method with Jaccard 3W algorithm. International Journal Software Engineering and Computer Science (IJSECS), 3(2), 79–87. https://doi.org/10.35870/ijsecs.v3i2.1464
Salam, A., Albahri, F. P., & Fathurrahmad. (2022). Sistem rekomendasi tugas akhir mahasiswa pada AMIK Indonesia untuk mendukung Merdeka Belajar-Kampus Merdeka menggunakan metode collaborative filtering (CF). Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 6(2), 281–288. https://doi.org/10.35870/jtik.v6i2.420.
Siau, K., & Cao, Q. (2001). Unified modeling language: A complexity analysis. Journal of Database Management (JDM), 12(1), 26–34. https://doi.org/10.4018/jdm.2001010103
Try Pangestu, L., Mubarok, H., & Kurniati, N. I. (2018). Case-Based Reasoning diagnosa penyakit jantung korespondensi. Scientific Articles of Informatics Students, 1(2), 159–166. https://publikasi.unsil.ac.id/index.php/sais.
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