
*corresponding author
AbstractThe development of artificial intelligence technology that has occurred has allowed expert systems to be applied in detecting disease using programming languages. One in terms of providing information about a variety of disease problems that have recently been feared by Indonesian society, namely stroke. Expert system method used is dempster shafer and certainty factor method is used to analyze the comparison of both methods in stroke.Based on the analysis result, it is found that certainty factor is better than demster shafer and more accurate in handling the knowledge representation of stoke disease according to the symptoms of disease obtained from one hospital in medan city, uniqueness of algorithm that exist in both methods.
Keywordsfactor, demstershafer, expert system, expert system method comparison analysis
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DOIhttps://doi.org/10.29099/ijair.v2i1.53 |
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References
Abdul Fadlil, 2014. Expert System Diagnose Stroke Disease Using Certainty Factor Method Bachelor of Informatics Engineering, 2 (1) , 691-700).
Budiman, Cucu Suhery, Tery Rismawan,’ Expert System Application for Diagnosing Diseases with Demster Shafer Android Based Method Coding’, Computer Systems Untan, 2016, 4 (3), 64-74)
Giarratano, J. and Riley G., 2005, Expert Systems; Principles and Programming, PWS Publishing Company, Boston.
Gupta. S dan Singhal. R, “Fundamentals and Characteristics of an Expert System”. International Journal on Recent and Innovation Trends in Computing and Communication volume 1 issue: 3, 2013.
Heckerman, David. The Certainty-Factor Model. Los Angeles: Department of Computer Science and Pathology, University of Southern California.
Kusrini, 2011, Understanding Expert System, Blue Book, Jogjakarta.
Iswanti.S and Hartati.S, 2017,’Expert System and Development’, Jogjakarta.
Joko Minardi, Suyatno,”Sistem Pakar Untuk Diagnosa Penyakit Kehamilan Menggunakan Metode Dempster-Shafer Dan Decision Tree”,Fakultas Sains dan Teknologi, Program Studi Sistem Informasi Universitas Islam Nahdlatul Ulama Jepara, Jurnal SIMETRIS, Vol 7 No 1 April 2016 ISSN: 2252-4983.
Yasidah Nur Istiqomah , Abdul Fadlil, Prof. Dr. Soepomo, S.H., Janturan, Umbulharjo,”Sistem Pakar Untuk Mendiagnosa Penyakit Saluran Pencernaan Menggunakan Metode Dempster Shafer”, Program Studi Teknik Informatika,Program Studi Teknik Elektro, Universitas Ahmad Dahlan, Jurnal Sarjana Teknik Informatika e-ISSN: 2338-5197 Volume 1 Nomor 1, Juni 2013.
Maura Widyaningsih, Rio Gunadi,”Dempster Shafer Untuk Sistem Diagnosa Kulit Pada Kucing”, Jurusan Teknik Informatika, STMIK Palangkaraya, Jl. G. Obos No.114, Palangka Raya 73112, Kalimantan Tengah, Jurnal Saintekom, Vol.7 , No.1 , Maret 2017.
Fitri Wulandari, Ihsan Yuliandri, “Diagnosa gangguan gizi menggunakan metode certainty factor”, Teknik Informatika UIN SUSKA Riau, Jurnal Sains, Teknologi dan Industri, Vol. 11, No. 2, Juni 2014, pp. 305 – 313 ISSN 1693-2390 print/ISSN 2407-0939 online.
Aryu Hanifah Aji, M. Tanzil Furqon, Agus Wahyu Widodo ,”Sistem Pakar Diagnosa Penyakit Ibu Hamil Menggunakan Metode Certainty Factor (CF)”, Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Brawijaya, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer e-ISSN: 2548-964X Vol. 2, No. 5, Mei 2018, hlm. 2127-2134 http://j-ptiik.ub.ac.id.
Ricky Hamidi, Hengky Anra, Helen Sasty Pratiwi, “Analisis perbandingan sistem pakar dengan metode certainty factor dan metode dempster-shafer pada penyakit kelinci”,Program Studi Teknik Informatika Universitas Tanjungpura, Jurnal Sistem dan Teknologi Informasi (JUSTIN) Vol. 1, No. 2, (2017).
Ellyza Gustri Wahyuni dan Widodo Prijodiprojo,“Prototype Sistem Pakar untuk Mendeteksi Tingkat Resiko Penyakit Jantung Koroner dengan Metode Dempster-Shafer (Studi Kasus: RS. PKU Muhammadiyah Yogyakarta)”, Program Studi S2 Ilmu Komputer,Jurusan Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta, Jurnal Berkala MIPA, 23(2), Mei 2013.
Mikha Dayan Sinaga, Nita Sari Br. Sembiring,”Penerapan metode dempster shafer untuk mendiagnosa penyakit dari akibat bakteri salmonella”, Program Studi Teknik Informatika Fakultas Teknik Universitas Potensi Utama,Jl. K.L.Yos Sudarso Km 6,5 No. 3A Tanjung Mulia Medan Sumatera Utara 20241 Indonesia, Cogito Smart Journal/VOL. 2/NO. 2/DESEMBER 2016.

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