Main Article Content

Abstract

If someone feels unwell, they will usually make a diagnosis and find the solutions before deciding to consult a doctor. As with joint disease with symptoms of pain that are still mild, there is no time to go to the doctor, fees, or other reasons. Especially now through information via the internet can be easily obtained. To assist in identifying and improving the accuracy of diagnosis, it is necessary to have a web-based expert system application to diagnose joint disease using certainty factor methods. The research method used is using SDLC (Software Development Life Cycle). An expert system that has been made can be used as early detection and get solutions for joint diseases and preventive measures to treatment

Keywords

Expert System Certainty Factor Waterfall

Article Details

References

  1. W. D. Septiani, “Dan Naive Bayes Untuk Prediksi Penyakit Hepatitis,” vol. 13, no. 1, pp. 76–84, 2017.
  2. D. Novianti, “Implementasi Algoritma Naïve Bayes Pada Data Set Hepatitis Menggunakan Rapid Miner,” Paradig. J. Komput. dan Inform. Univ. Bina Sarana Inform., vol. XXI, no. 1, pp. 49–54, 2019, [Online]. Available: https://ejournal.bsi.ac.id/ejurnal/index.php/paradigma/article/view/4979/pdf.
  3. A. Herliana, V. A. Setiawan, and R. T. Prasetio, “Penerapan Inferensi Backward Chaining Pada Sistem Pakar Diagnosa Awal Penyakit Tulang,” J. Inform., vol. 5, no. 1, pp. 50–60, 2018, doi: 10.31311/ji.v5i1.2818.
  4. S. Arlis, “Diagnosis Penyakit Radang Sendi Dengan Metode Certainty Factor,” SATIN - Sains dan Teknol. Inf., vol. 3, no. 1, p. 42, 2017, doi: 10.33372/stn.v3i1.215.
  5. I. Muliawan, T. Hariyanto, and R. C. Adi, “Efektifitas Managemen Nyeri Non Farmakologi Kompres Hangat Dan Massage Punggung Terhadap Penurunan Skala Nyeri Sendi Pada Lansia Di Panti Wreda Pangesti Lawang,” Univ. Tribhuwana Tunggadewi Malang, vol. 2, no. 3, pp. 653–662, 2017, [Online]. Available: publikasi.unitri.ac.id.
  6. S. Halim and S. Hansun, “Penerapan Metode Certainty Factor dalam Sistem Pakar Pendeteksi Resiko Osteoporosis dan Osteoarthritis,” J. Ultim. Comput., vol. 7, no. 2, pp. 59–69, 2016, doi: 10.31937/sk.v7i2.233.
  7. F. Bawarodi, J. Rottie, and R. Malara, “Faktor-faktor yang Berhubungan dengan Kekambuhan Penyakit Rematik di Wilayah Puskesmas Beo Kabupaten Talaud,” e-Journal Keperawatan (e-KP), vol. 5, no. 1, pp. 1–7, 2017.
  8. R. G. A. R. E. Yuwanto, “RA Jadi Penyakit Sendi Paling Sering Terjadi di Indonesia,” 2019. https://gayahidup.republika.co.id/berita/gaya-hidup/info-sehat/pnr87w438/ra-jadi-penyakit-sendi-paling-sering-terjadi-di-indonesia.
  9. B. Wijonarko, “Perbandingan Algoritma Data Mining Naive Bayes Dan Bayes Network Uuntuk Mengidentifikasi Penyakit Tiroid,” Pilar, vol. 14, no. 1, pp. 21–26, 2018.
  10. Syahriani and D. A. Dirgantoro, “Sistem Pakar Online Pendeteksi Penyakit Tanaman Adenium Dengan Metode Prototyping,” Tek. Komput., vol. V, no. 1, pp. 51–58, 2019, doi: 10.31294/jtk.v4i2.
  11. J. Rahmah and R. A. Saputra, “Penerapan Certainty Factor Pada Sistem Pakar Diagnosa Penyakit Saluran Pencernaan Ayam Broiler,” J. Inform., vol. 4, no. 1, pp. 94–102, 2017.
  12. A. Supiandi and D. B. Chandradimuka, “Sistem Pakar Diagnosa Depresi Mahasiswa Akhir Dengan Metode Certainty Factor Berbasis Mobile,” J. Inform., vol. 5, no. 1, pp. 102–111, 2018, doi: 10.31311/ji.v5i1.2872.
  13. R. Annisa, “Sistem Pakar Metode Certainty Factor Untuk Mendiagnosa Tipe Skizofrenia,” IJCIT (Indonesian J. Comput. Inf. Technol., vol. 3, no. 1, pp. 40–46, 2018.
  14. L. Septiana, “Perancangan Ssistem Pakar Diagnosa Penyakit Ispa Dengan Metode Certainty Faktor Berbasis Aandroid,” Techno, vol. XIII, no. 2, pp. 1–6, 2016.