IMPLEMENTASI SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT TULANG PADA MANUSIA MENGGUNAKAN METODE FORWARD CHAINING
Keywords:
Root System, Forward chaining
Abstract
Bone disease is a condition that damages the skeleton and makes bones weak and vulnerable to fractures. The high disease is caused by ignorance and lack of knowledge about the disease. Therefore, an expert system was created to diagnose bone disease in humans. The method used in making this expert system is the forward chaining method, forward chaining method using the PHP programming language and MySQL database. The results of this study are the application of expert systems to diagnose human bone disease using a forward chaining method that can be accessed by the public at large to diagnose early symptoms of bone disease without limited distance and time used.
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References
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[3] Nina Rahayu. 2014. “ Perancangan Executive Informasi System (EIS) Dalam Bidang Penjualan pada Karinda Cafe dan Resto”. Laporan Skripsi, AMIK Raharja, Tangerang.
[4] Rahmi Ras Fanny, dkk. 2017. “Perancangan Sistem Pakar Diagnosa Penyakit Asidosis Tubulus Renalis Menggunakan Metode Certainly Factor dengan Penelusuran Forward Chaining”. Jurnal Media Informatika Budidarma, Vol 1, No 1, ISSN 2548-8368 (Media Online), Hal: 13-16.
[2] Budiharto, W. dan Suhartono, D. (2014), ARTIFICIAL INTELLLIGENCE Konsep dan Penerapanya. Andi Offset, Yogyakarta.
[3] Nina Rahayu. 2014. “ Perancangan Executive Informasi System (EIS) Dalam Bidang Penjualan pada Karinda Cafe dan Resto”. Laporan Skripsi, AMIK Raharja, Tangerang.
[4] Rahmi Ras Fanny, dkk. 2017. “Perancangan Sistem Pakar Diagnosa Penyakit Asidosis Tubulus Renalis Menggunakan Metode Certainly Factor dengan Penelusuran Forward Chaining”. Jurnal Media Informatika Budidarma, Vol 1, No 1, ISSN 2548-8368 (Media Online), Hal: 13-16.
Published
2019-04-16
How to Cite
[1]
F. Ardhy, R. Romadon, and N. Oktaliasari, “IMPLEMENTASI SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT TULANG PADA MANUSIA MENGGUNAKAN METODE FORWARD CHAINING”, Jurnal Informasi dan Komputer, vol. 7, no. 1, pp. 29-34, Apr. 2019.
