SISTEM PAKAR DIAGNOSA PENYAKIT REFRAKSI MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB

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Published Apr 28, 2022
https://doi.org/10.56708/progres.v14i1.300
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Vol 14 No 1 (2022): April

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Edha Jenny Cahyani
STMIK Pontianak
Sandy Kosasi
STMIK Pontianak

Abstract

Refractive diseases often occur in the community. Many people are not aware of the symptoms, some are aware that they are reluctant to consult directly with a doctor for reason that they are afraid of spending a large amount of money just to diagnose refractive disease. Based on some these problems, system that can adopt ability of an expert is an expert system. With this expert system, it can be a solution for community in diagnosing refractive diseases. Expert system diagnose refractive disease was built using the forward chaining method. Software designed using prototype method by using Design Science Research method. Software testing uses black-box testing method, program code units with boundary value testing techniques. Results of this software design in the form of software that’s named "Expert system for diagnosing refractive diseases". This software is designed using web-based programming language, HTML, CSS, PHP with MySQL database. Results displayed by system in the form of diagnostic results containing the disease diagnosed. These results are based on symptoms that have been filled in by user. This expert system software can provide references and assist users in providing information about their illness, initial treatment solutions and prevention of refractive diseases.

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

How to Cite
Jenny Cahyani, E., & Kosasi, S. (2022). SISTEM PAKAR DIAGNOSA PENYAKIT REFRAKSI MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB. Jurnal Informatika Progres, 14(1), 1-10. https://doi.org/10.56708/progres.v14i1.300

References

[1] Ilyas S, 2006, Kelainan Refraksi dan Koreksi Pengelihatan. Jakarta. FKUI; 2006.
[2] Lukman,F., Lindra, A., Heriana, C. 2016, Skrining Kelainan Refraksi Mata Pada Siswa Sekolah Dasar Menurut Tanda dan Gejala. Journal of Health Education.
[3] Kusrini, 2004, Sistem Pakar Teori dan Aplikasi, ANDI.
[4] Sihotang, H.T., Panggabean, E., Zebua, H., 2018. Sistem Pakar Mendiagnosa Penyakit Herpes Zoster dengan Menggunakan Metode Teorema Bayes. Journal of Informatic Pelita Nusantara.
[5] Sandy Kosasi, 2015. Perancangan Sistem Pakar Mendiagnosa Penyakit Ikan Hias Menggunakan Shell Exsys Corvid. CSRID.
[6] Suwarsito., H. Mustafidah, 2011. Diagnosa Penyakit Ikan Menggunakan Sistem Pakar. JUITA.
[7] David, 2016. Sistem Pakar Diagnosa Penyakit Gangguan Jiwa Dengan Demster Shafer. KNSI 2016.
[8] Cut Fiarnia, A.S, 2015. Automated Scheduling System For Thesis and Project Presentation Using Forward Chaining Method With Dynamic Allocation Resource. Pocedia Computer Science.
[9] David., Eric, A., dan Taufik, S., 2021. Penerapan Metode Forward Chaining Untuk Mediagnosa Penyakit Jantung Berbasis Android. Prosiding Seminar Nasional CORISINDO 2021.
[10] David., 2018. Penerapan Rule Based Forward Chaining Pada Sistem Pakar Untuk Diagnosa Penyakit Kulit. KNSI 2018.
[11] Sandy Kosasi., 2014. Sistem Pakar Diagnosa Penyakit Ikan Komet Menggunakan Forward Chaining. TECHSI Jurnal Penelitian Teknik Informatika Universitas Malikussaleh.
[12] Sandy Kosasi., 2014. Sistem Pakar Tes Psikometri Kepribadian Manusia Menggunakan Metode Forward Chaining. Seminar Nasional Informatika 2013.
[13] Dahlan, A., Muslem., 2015. Implementasi Sistem Pakar Mendiagnosa Penyakit Sakit Kepala Dengan Menggunakan Metode Forward Chaining. TECHSI Jurnal Penelitian Teknik Informatika Universitas Malikussaleh.
[14] Roger S. Pressman, 2002. Rekayasa Perangkat Lunak Pendekatan Praktisi (Buku Satu). ANDI Yogyakarta.
[15] Jaya, T. S. (2018). Pengujian Aplikasi dengan Metode BlackBox Testing Boundary Value Analysis (Studi Kasus: Kantor Digital Politeknik Negeri Lampung). Jurnal Informatika: Jurnal Pangembangan IT(JPIT).