An Expert System Diagnosis Human Eye Diseases Using Certainty Factor Method Web-Based
DOI:
10.33395/sinkron.v5i1.10579Keywords:
Expert System, Eye deseases, Eyes, Certainty Factor, WebAbstract
Eye is the important senses. If the eye is disrupted then ignore it, it will disturb. In fact, many people delay to checked eye diseases that them suffered, due to the lack of knowledge society, the cost is quite expensive and the imbalance between patients and doctors so that should be queued if will check the eye health. It is necessary for the expert system that can diagnose eye diseases, so a people can checking their eye diseases suffered without have to go to the doctors. This expert system is based on web with the programming language PHP and MySQL database. In the process of withdrawal conclusion, system using the certainty factors method that use a value to assume degree of confidence from an expert to a data. Expert system provides results in the form of the possibility of illness suffered, the value of the percentage of beliefs from the illness and the treatment solution based on the value of confidence that given and system is able to know the type of eye disease experienced by the user based on the symptoms chosen by the user. So, it can help the people to know the eye disease their suffered and the action can be done faster.
Downloads
References
D. P. S. Setyohadi, R. A. Octavia, and T. D. Puspitasari.2018. An Expert System for Diagnosis of Broiler Diseases using Certainty Factor. Journal of Physics: Conference Series pp. 1–5.
Fahrul Agus. 2017. Expert System With Certainty Factor For Early Diagnosis Of Red Chili Peppers Diseases. Journal of Applied Intelligent System Vol.2 No. 2 - December 2017.
Gama, Adie & Sukadana, I & Prathama, Gede. (2019). Sistem Pakar Diagnosa Awal Penyakit Mata (Penelusuran Gejala Dengan Metode Backward Chaining). Jurnal Elektronika, Listrik, Telekomunikasi, Komputer, Informatika, Sistem Kontro
Hartatik. 2016. “Diagnosa Penyakit pulmonary Tuberculosis Dan Extrapulmonary Tuberculosis Menggunakan Algoritma Certainty Factor (CF)”. Teknik Informatika Vol 8 No.1 - Februari 2016.
M. Haris Qamaruzzaman, Sam’ani. 2016. “Sistem Pakar Untuk Mendiagnosa Penyakit Mata Pada Manusia Menggunakan Teorema Bayes”. Vol 5 No. 4 – Oktober 2016.
Hayadi, BH. 2017. “Visualisasi Konsep Umum Sistem Pakar Berbasis Multimedia”. Riau Journal Of Computer Science Vol.3 No.1. 17
Munaiseche, Cindy & Kaparang, Daniel & Rompas, Parabelem. 2018. An Expert System for Diagnosing Eye Diseases using Forward Chaining Method. IOP Conference Series: Materials Science and Engineering. 306. 012023. 10.1088/1757-899X/306/1/012023.
Pasaribu Johni S. 2015. “Implementasi Sistem Pakar Untuk Diagnosa Penyakit Mata Pada Manusia”. ISSN : 2089-9815.
Permana, Yogi & Wijaya, I Gede Pasek Suta & Bimantoro, Fitri. 2018. Sistem Pakar Diagnosa Penyakit Mata Menggunakan Metode Certainty Factor Berbasis Android. Journal of Computer Science and Informatics
Engineering (J-Cosine). 1. 1. 10.29303/jcosine.v1i1.11.
Priehartini dan dr. Yekti Mumpuni. 2016. “45 Penyakit Mata – Berbagai Jenis Penyakit & Kelainan Mata”. Yogyakarta : Rapha Publishing.
Rosa A.S., M. Shalahuddin. 2013. “Rekayasa Perangkat Lunak Terstruktur dan Berorientasi Objek”. Bandung : Informatika.
S. Mujilahwati. 2014. Diagnosa Penyakit Tanaman Hias Menggunakan Metode Certainty Factor Berbasis Web. J. Tek., Vol. 6, No. 2.
Sutojo, T., Edy Mulyanto, Vincent Suhartono. 2011. “Kecerdasan Buatan”. Yogyakarta : Andi.
Suyanto. 2014. “Artificial Intelligence”. Bandung : Informatika.