Sistem Pakar Untuk Mendiagnosa Penyakit Sistem Saraf Pusat Berbasis Web Dengan Menggunakan Metode Forward Chaining (Studi Kasus : Rumah Sakit Hermina Serpong Tangerang)
Keywords:
Forward Chaining, Neurological Diseases, Twitter Expert SystemsAbstract
The nervous system is one of the organs that perform activities of a coordinating body. Central nervous system functions primarily to detect, analyze, process and deliver information. Sensory systems collect information which are processed in the brain and transmitted to the motor system to control the movement, visceral activity, and endocrine functions. All the action from the sensory and motor systems are controlled by nerves which are interconnected to form a network of signaling. Lack of information and knowledge about neurological causes many sufferers of neurological diseases. The methods used in this research is a method of Forward Chaining. The system to be built is a computer-based information system by utilizing the technology of artificial intelligence that serves as system tools or the giver of neurological diagnosis results to the user. Diagnoses generated by this system is equipped with a type of central nervous disease with pecegahan and the way of treatment. The system will analyze your answers to each question are given, so that the obtained results diagnoses based on the existing knowledge base in expert system. Research results in the form of expert system that can help users know what kind of diseases of the central nervous, giving information regarding central nervous disease and knowing how treatment and prevention.
References
Aini. Nurul. (2018). Sistem Pendukung Keputusan Diagnosa Penyakit Kanker Serviks Dengan Metode Certainty Factor Berbasis Web Studi Kasus: Rumah Sakit Labuang Baji Makassar. Jurnal Sistem Informasi Dan Teknologi Informasi. Vol. 7. No. 1. April 2018.
Akbar, I. M., Yunita, D., & Fansyuri, M. (2022). Designing A Website Application For Diagnosing Respiratory Tract Diseases Using Forward Chaining Method And Certainty Factor. Journal of Artificial Intelligence and Innovative Applications (JOAIIA), 3(1), 1-8.
Dahria. Muhammad. Sihombing. N.A.M. Eka. (2020). Implementasi Penggunaan Kecerdasan Buatan Dalam Pembentukan Peraturan Daerah. Jurnal Ilmiah Kebijakan Hukum. P-ISSN: 1978-2292. Volume 14, No 3. Novenber 2020.
Efendi. Idris. dkk. (2020). Penerapan Metode Certainty Factor Untuk Sistem Pakar Diagnosa Penyakit Burung Puyuh Berbasis Web. Seminar Nasional Inovasi Teknologi. e-ISSN: 2549-7952. 25 Juli 2020.
Andrianto, R. (2020, September). Sistem Diagnosa Penyakit Umum Pada Kucing Dengan Metode Forward Chaining (Studi kasus: Surga Kucing Bintaro). In PROSIDING SEMINAR INFORMATIKA DAN SISTEM INFORMASI (Vol. 3, No. 3, pp. 884-890).
Fathushahib.dkk. (2018). Perancangan Sistem Pakar Untuk Diagnosis Penyakit Ginjal Dengan Metode Certainty Factor Dan Forward Chaining. Jurnal Sistem Cerdas 2018 Volume 01 No 02 ISSN: 2622-8254. 2018.
Imannudin, I. I., Gunawan, M. E., Gunawan, D. G., Febrianty, H. F., Anjani, A. A., & Munawaroh, M. M. (2021). Penerapan Metode Forward Chaining Untuk Mendeteksi Perbedaan Print Digital Dan Sablon. Journal of Artificial Intelligence and Innovative Applications (JOAIIA), 2(3), 218-223.
Ratama, N. (2018). Analisa Dan Perbandingan Sistem Aplikasi Diagnosa Penyakit Asma Dengan Algoritma Certainty Factor Dan Algoritma Decision Tree Berbasis Android. Jurnal Informatika: Jurnal Pengembangan IT, 3(2), 177-183.