Implementasi Sistem Pakar Deteksi Dini Resiko Penyakit Jantung Koroner Menggunakan Metode Backward Chaining dan Certainty Factor pada Android
(1) Program Studi Informatika
(2) Program Studi Informatika
(3) Program Studi Teknik Elektro
(*) Corresponding Author
Abstract
lives, one of which is coronary heart disease. Coronary heart
disease is the chronic and acute heart's inability to pump
oxygenated blood due to a lack of blood supply in the heart's muscle
cells.
This research, using the backward chaining method, serves to trace
the facts and combine them with hypotheses that can strengthen
those facts. Certainty factor is the method used to measure the
certainty of the facts that have been made and provide results in the
form of scoring to determine the level of accuracy of the facts that
have been given by experts.
This research will produce an expert-system application that is
useful for early detection of coronary heart disease. Output will be
in the form of grouped results, which is the results of a person's
potential risk of coronary heart disease, along with a percentagebased risk potential of developing said disease. It is hoped that the
creation of this system will make it easier for a person to detect the
disease based on daily habits, so it can later be used as the initial
diagnosis whether or not a person has said disease.
Keywords
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Aji, A. H., Furqon, M. T., & Widodo, A. W. 2018. Sistem
Pakar Diagnosa Penyakit Ibu Hamil Menggunakan Metode
Certainty Factor ( CF ). Jurnal Pengembangan Teknologi
Informasi Dan Ilmu Komputer, 3(5), 2127–2134. http://jptiik.ub.ac.id/index.php/j-ptiik/article/view/1556
Fiano, D. S. I., & Purnomo, A. S. 2017. Sistem Pakar Untuk
Mendeteksi Tingkat Resiko Penyakit Jantung Dengan Fuzzy
Inferensi (Mamdani). INFORMAL : Informatics Journal, 2(2),
–78
Hoendarto, G., Iskandar, R. J., & Avio, D. 2020. Penerapan
Metode Backward Chaining Dalam Perancangan Sistem Pakar
Pendiagnosa Penyakit Jantung. Jurnal Informasi Teknologi
Dan Sistem, 7(1), 1.
http://journal.widyadharma.ac.id/index.php/inteksis/article/vie
w/726/791
Irianto, K. 2014. Memahami Berbagai Macam Penyakit.
Alfabeta.
Jahangiry, L., Farhangi, M. A., & Rezaei, F. 2017. Framingham
risk score for estimation of 10-years of cardiovascular diseases
risk in patients with metabolic syndrome. Journal of Health,
Population and Nutrition, 36(1), 36.
Jaroji, J., Sianturi, A. H., Masinta, M., & Nilamsari, M. K.
Sistem Pakar Pedia Untuk Pertanian Indonesia Berbasis
Android Dengan Menerapkan Metode Naïve Bayes. Sistemasi,
(3), 436. https://doi.org/10.32520/stmsi.v8i3.539
Kabo, P. 2008. Mengungkap pengobatan penyakit jantung
koroner (179th ed.). Gramedia Pustaka Utama
Kemenkes RI. 2019. Hasil Riset Kesehatan Dasar Tahun 2018.
Kementrian Kesehatan RI, 53(9), 1689–1699.
Kusumadewi, S. 2003. Artificial Intelligence (Teknik dan
Aplikasinya) (Cet.1). Graha Ilmu. Yogyakarta.
Kusumawaty, J., Hidayat, N., & Ginanjar, E. 2016. Hubungan
Jenis Kelamin dengan Intensitas Hipertensi pada Lansia di
Wilayah Kerja Puskesmas Lakbok Kabupaten Ciamis. Jurnal
Mutiara Medika, 16(2), 46–51.
PERKENI. 2011. Konsensus Diabetes Mellitus. Perkeni,
(1994), 1–27. http://eprints.ums.ac.id/37501/6/BAB II.pdf
Price, L. M. W. L. M. W. 2006. PATOFISIOLOGI : Konsep
Klinis Proses - Proses Penyakit. Edisi 6.Vol. II.
Raharjo, Joko S Dwi, D Damiyana, S. L. 2017. Perancangan
sistem pakar diagnosa penyakit jantung dengan metode forward
chaining berbasis android. Jurnal Sisfotek Global, 7(2),102–
https://stmikglobal.ac.id/journal/index.php/sisfotek/article/vie
wFile/159/163
Rilantono, L. l. 2013. Penyakit Jantung Kardiovaskuler (PKV).
Badan Penerbit Fakutas Kedokteran Universitas Indonesia.
Rodriguez, F., Leonard, D., Defina, L., Barlow, C. E., Willis,
B. L., Haskell, W. L., & Maron, D. J. 2019. Association of
Educational Attainment and Cardiovascular Risk in Hispanic
Individuals: Findings from the Cooper Center Longitudinal
Study. JAMA Cardiology, 4(1), 43–50.
https://doi.org/10.1001/jamacardio.2018.4294
Sabah, K. M. N., Chowdhury, A. W., et al. 2014. Body mass
index and waist/height ratio for prediction of severity of
coronary artery disease. BMC Research Notes, 7(1)(1 -7.).
Shiel Jr., W. C. 2020. Definition of stress. MedicineNet.
https://www.medicinenet.com/stress/definition.htm
Tutorialspoint. 2021. Artificial Intelligence - Expert Systems Tutorialspoint. Tutorialspoint.Com.
https://www.tutorialspoint.com/artificial_intelligence/artificial
_intelligence_expert_systems.htm
WHO. 2015. Cardiovascular diseases (CVDs).
https://www.who.int/news-room/factsheets/detail/cardiovascular-diseases-(cvds)
WHO. 2017. Cardiovascular diseases (CVDs).
https://www.who.int/news-room/factsheets/detail/cardiovascular-diseases-(cvds)
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