A. Sidiq Purnomo

Universitas Mercu Buana Yogyakarta

You are here: » Sistem Pakar Untuk Mendeteksi Tingkat Resiko Penyakit Jantung Dengan Fuzzy Inferensi (Mamdani)

Sistem Pakar Untuk Mendeteksi Tingkat Resiko Penyakit Jantung Dengan Fuzzy Inferensi (Mamdani)

Dany Suktiawan Irman Fiano, Agus Sidiq Purnomo

Abstract

The development of information technology is needed to help and support in all areas one of the health field. Use of information technology in the field of health to reduce problems in clinical and non-clinical action. One of the problems encountered in the field of health is heart disease. The heart is one of the vital organs for humans. Because of the importance of this heart role, heart health must be maintained in order to function properly. Cardiac examination can be done in the hospital by handled by an internist. However, due to limited access and time for consultation with a medical specialist, it has to wait a relatively long time to find out the results of the examination. So it is necessary media to be able to help detect the risk of heart disease more easily and quickly. In this study will be designed an expert system to detect the risk of heart disease by implementing fuzzy inference (mamdani). Where this system will provide information about the level of risk of heart disease based on risk variables of heart disease that is blood pressure, blood sugar, cholesterol, Body Mass Index (BMI) and history of heart disease family. So it can help people in anticipating the risk of heart disease. Based on 20 data that have been tested against experts and systems, for patients detected having a small risk of heart disease have a percentage of 30%, for a moderate risk level has a percentage of 50%, for a large risk level has a percentage of 20%. As for the level of compliance based on the validation results of experts (doctors) and the system, obtained a percentage of 80% of the appropriate test data, and 20% of the test data is not appropriate.

Keyword : Heart Disease, Expert System, Fuzzy Inference, Mamdani

Full Text :

PDF

References

  • Abata, Q. ‘. (2014). Ilmu Penyakit Dalam. Madiun: Yayasan PP Al-Furqon.
  • Arhami, M. (2004). Konsep Dasar Sistem Pakar. Yogyakarta: Penerbit Andi Yogyakarta.
  • Assegaf, Y. N., & Estri, M. N. (2012). Aplikasi Fuzzy Inference System Metode Mamdani Untuk Rekomendasi Pemilihan Bidang Kajian Pada Mahasiswa Program Studi Matematika Unsoed. JMP : Volume 4 Nomor 2, Desember 2012, 253-264.
  • Budiharto, W., & Suhartono, D. (2014). Artificial Intelligence Konsep dan Penerapannya. Yogyakarta: Penerbit Andi.
  • Dewi, D. P. (2014). Sistem Pakar Diagnosa Penyakit Jantung dan Paru dengan Fuzzy Logic dan Certainty Factor. Merpati Vol. 2, No. 3, Desember 2014, 361-370.
  • IGCSEICT. (2015, April 25). Expert Systems. Diambil kembali dari igcseict.info: http://www.igcseict.info/theory/7_2/expert/
  • Joewono, B. S. (2003). Ilmu Penyakit Jantung. Surabaya: Airlangga University Press.
    Jota, S. (2002). Diagnosis Penyakit Jantung. Jakarta: Penerbit Widya Medika.
  • Kusumadewi, S., & Purnomo, H. (2013). Aplikasi Logika Fuzzy untuk Pendukung Keputusan Edisi 2. Yogyakarta: Graha Ilmu.
  • Nurhayati, H., & Nugroho, F. (2012). Implementasi Fuzzy Expert System Untuk Diagnosis Penyakit Jantung. Seminas Competitive Advantage II.
  • Parhusip, J., H. Pranatawijaya, V., & Putrisetiani, D. (2012). Sistem Pakar Diagnosa Penyakit Jantung Menggunakan Metode Certainty Factor Berbasis Web. Seminar Nasional Informatika 2012 , C54-C61.
  • Rodiah, Haryatmi, E., Fitrianingsih, & Mashuri, M. Y. (2015). Penerapan Fuzzy Logic Inference System Metode Mamdani Sebagai Penunjang Diagnosis Kanker Paru. Forum Informatika Kesehatan Indonesia, 98-104.
  • Wahyuni, E. G., & Prijodiprojo, W. (2013). Prototype Sistem Pakar untuk Mendeteksi Tingkat Resiko Penyakit Jantung Koroner dengan Metode DempsterShafer (Studi Kasus: RS. PKU Muhammadiyah Yogyakarta). IJCCS, Vol.7, No.2, July 2013, 133-144.
  • Zendrato, N. E., Darnius, O., & Sembiring, P. (2014). Perencanaan Jumlah Produksi Mie Instan Dengan Penegasan (Defuzzifikasi) Centroid Fuzzy Mamdani (Studi Kasus: Jumlah Produksi Indomie di PT. Indofood CBP Sukses Makmur, Tbk Tanjung Morawa). Saintia Matematika, Vol. 2, No. 2 (2014), 115–126.
Print Friendly, PDF & Email
Posted by 0 Responses
 

Free Email Newsletter

Stay Updates with this Blog. Get Free email newsletter updates..

And then confirm your email subcription

   

No Comment to “Sistem Pakar Untuk Mendeteksi Tingkat Resiko Penyakit Jantung Dengan Fuzzy Inferensi (Mamdani)”

  1. Comments are closed.
Oct
7
2017