SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

 (*)Siti Nurhena Mail (Program Studi Teknik Informatika STMIK Budi Darma Medan, —)
 Nelly Astuti Hasibuan (Program Studi Teknik Informatika STMIK Budi Darma Medan, —)
 Kurnia Ulfa (Program Studi Teknik Informatika STMIK Budi Darma Medan, —)

(*) Corresponding Author

Abstract

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.

Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.

Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

Full Text:

PDF


Article Metrics

Abstract view : 551 times
PDF - 294 times

References

Fadilla Zennifa, et al. “Prototipe Alat Deteksi Dini dan Mandiri Penyakit Jantung Menggunakan Sistem Pakar, Arduino dan Handphone Android”, Teknik Elektro Universitas Ansalas, 2014.

A. Desiani dan M, Arhami. “Konsep Kecerdasan Buatan”, Yogyakarta, Andi, 2006.

T. Sutojo,S.Si.,M.Kom. et al. ”Kecerdasan Buatan”, Yogyakarta, Andi, 2011.

Muhammad Arhami. “Konsep Dasar Sistem Pakar” , Yogyakarta, Andi, 2005.

Kusrini, M.Kom. “Aplikasi Sistem Pakar”, Yogyakarta, Andi, 2008.

Nita M, M.Kom dan Rahmat H, S.Kom. ”Perancangan Sistem Pakar”, Bogor, Ghalia Indonesia, 2012.

Sandra Brunini, et al. “High Frequency of Mayora virus Igm among febrile patients, central Brazil”, Emerging Infectious Diseases, Vol.23, No.6, 2017.

Irfan subakti, M.Sc.Eng, “Variable Intelligent Rule System”, Information and Communication Technology Seminar, 2006.

Stepani Halim, et al. “Penerapan Metode Certainty Factor Dalam Sistem Pakar Pendeteksi Resiko Osteoporosis Dan Osteoarthritis”, Universitas Multimedia Nusantara, 2016.

Rosa A.S dan M. Shalahudin, “Rekayasa Perangkat Lunak Terstruktur dan Berorintasi Objek, Bandung, 2016.

Rahmat Priyanto, “Langsung Bisa Visual Basic.Net 2008”, yogyakarta, Andi, 2009.

R.P. Tanjung, M. Mesran, SISTEM PAKAR MENDETEKSI KERUSAKAN MESIN LAS INVERTER DENGAN METODE CERTAINTYFACTOR, Maj. Ilm. INFOTEK. 2 (2017) 62–64.

N.A. Hasibuan, H. Sunandar, S. Alas, Suginam, Sistem Pakar Mendiagnosa Penyakit Kaki Gajah Mengguanakan Metode Certainty Factor, J. Ris. Sist. Inf. Dan Tek. Inform. 2 (2017) 29–39.

R.R. Fanny, N.A. Hasibuan, E. Buulolo, PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT ASIDOSIS TUBULUS RENALIS MENGGUNAKAN METODE CERTAINTY FACTOR DENGAN PENULUSURAN FORWARD CHAINING, MEDIA Inform. BUDIDARMA. 1 (2017).

I. Sumatorno, D. Arisandi, A.P.U. Siahaan, M. Mesran, Expert System of Catfish Disease Determinants Using Certainty Factor Method, Int. J. Recent Trends Eng. Res. 3 (2017) 202–209. doi:10.23883/IJRTER.2017.3405.TCYZ2.

Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

Refbacks

  • There are currently no refbacks.


Copyright (c) 2018 KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)




KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
P3M STMIK Budi Darma
Sekretariat Jln. Sisingamangaraja No. 338 Telp 061-7875998
email: komik@univ-bd.ac.id, komik.budidarma@gmail.com

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.