Sistem Pakar Diagnosa Penyakit ISPA dengan Metode Forward Chaining
Abstract
The development of computer technology today continues to experience many changes every year, which are often developed by artificial intelligence, such as expert system technology. An expert system is a computer-based application that can match or imitate the ability of an expert used to solve problems that cannot be solved by ordinary people. His knowledge is taken from books, experience and knowledge. Children often experience ISPA disease caused by viruses and bacteria because children's immune systems are still susceptible to being different from adults. This disease usually begins with a hot body temperature accompanied by symptoms such as sore throat or painful swallowing, runny nose, dry cough and others. So that many parents do not know the symptoms of ISPA disease, as for some ways to prevent ISPA disease are diligently washing hands, increasing consumption of foods containing vitamins, exercise. To make it easier for parents to detect ISPA disease, the authors made this study using the forward chaining method, using this method the resulting system is a system that provides a choice of several symptoms then based on the selected symptoms conclusions will be drawn. This ARI disease expert system uses blackbox testing because blackbox testing is a software testing technique that focuses on the functional specifications of the software or system. Blackbox testing is done on each submenu view, input, edit, print, delete data. So that it will produce an expert system to diagnose ISPA in children online
Downloads
References
H. Wahyono, “Pemanfaatan teknologi informasi dalam penilaian hasil belajar pada generasi milenial di era revolusi industri 4.0,” Proceeding Biol. Educ., vol. 3, no. 1, pp. 192–201, 2019.
R. S. Putra and Y. Yuhandri, “Sistem Pakar dalam Menganalisis Gangguan Jiwa Menggunakan Metode Certainty Factor,” J. Sistim Inf. dan Teknol., vol. 3, pp. 227–232, 2021, doi: 10.37034/jsisfotek.v3i4.70.
D. A. O. Turang, “Aplikasi Sistem Pakar Berbasis Web Untuk Mendiagnosa Penyakit Syaraf Pusat Dengan Metode Forward Chaining,” Klik-Kumpul. J. Ilmu Komput, vol. 5, no. 1, p. 87, 2018.
N. A. Hasibuan, H. Sunandar, S. Alas, and S. Suginam, “Sistem Pakar Mendiagnosa Penyakit Kaki Gajah Menggunakan Metode Certainty Factor,” Jurasik (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 2, no. 1, p. 29, 2017, doi: 10.30645/jurasik.v2i1.16.
I. Jayatmi and E. Imaniyah, “Determinan Kejadian Infeksi Saluran Pernapasan Akut (ISPA) pada Balita,” J. Ilm. Kebidanan Indones., vol. 9, no. 01, pp. 18–25, 2019.
B. Sasangka and A. Witanti, “Sistem Pakar Diagnosa Penyakit Infeksi Saluran Pernafasan Akut Pada Anak Menggunakan Teorema Bayes,” JMAI (Jurnal Multimed. Artif. Intell., vol. 3, no. 2, pp. 45–51, 2019.
T. F. Ramadhani, I. Fitri, and E. T. E. Handayani, “Sistem Pakar Diagnosa Penyakit ISPA Berbasis Web Dengan Metode Forward Chaining,” JOINTECS (Journal Inf. Technol. Comput. Sci., vol. 5, no. 2, pp. 81–90, 2020.
J. S. D. Raharjo, S. Sutarman, and H. Hidayat, “Diagnosis Penyakit Pada Burung Lovebird Dengan Algoritma Forward Chaining,” Acad. J. Comput. Sci. Res., vol. 2, no. 2, 2020, doi: 10.38101/ajcsr.v2i2.285.
Z. Hakim and R. Rizky, “Sistem Pakar Menentukan Karakteristik Anak Kebutuhan Khusus Siswa Di SLB Pandeglang Banten Dengan Metode Forward Chaining,” Jutis, vol. 7, no. 1, pp. 93–99, 2019.
S. Njoo, K. Gunadi, and H. N. Palit, “Sistem Pakar Pendiagnosa Infeksi Saluran Pernafasan Akut (ISPA) dengan Metode Forward Chaining dan Certainty Factor,” J. Infra, 2021, [Online]. Available: http://publication.petra.ac.id/index.php/teknik-informatika/article/view/11449.
Y. Putra and S. S. Wulandari, “Faktor Penyebab Kejadian Ispa,” J. Kesehat., vol. 10, no. 1, p. 37, 2019, doi: 10.35730/jk.v10i1.378.
M. Marlina, W. Saputra, B. Mulyadi, B. Hayati, and J. Jaroji, “Aplikasi sistem pakar diagnosis penyakit ispa berbasis speech recognition menggunakan metode naive bayes classifier,” Digit. Zo. J. Teknol. Inf. dan Komun., vol. 8, no. 1, pp. 58–70, 2017, doi: 10.31849/digitalzone.v8i1.629.
T. F. Ramadhani, I. Fitri, and E. T. E. Handayani, “Sistem Pakar Diagnosa Penyakit ISPA Berbasis Web Dengan Metode Forward Chaining,” JOINTECS (Journal Inf. Technol. Comput. Sci., vol. 5, no. 2, p. 81, 2020, doi: 10.31328/jointecs.v5i2.1243.
K. Rizal, “Rancang Bangun Sistem Informasi Penjualan Obat Berbasis Dekstop dengan Model Waterfall,” Swabumi, vol. 6, no. 2, pp. 117–122, 2018.
S. R. Yulistina, T. Nurmala, R. M. Supriawan, S. H. Juni, and A. Saifudin, “Penerapan Teknik Boundary Value Analysis untuk Pengujian Aplikasi Penjualan Menggunakan Metode Black Box Testing,” J. Inform. Univ. Pamulang, vol. 5, no. 2, pp. 129–135, 2020.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Sistem Pakar Diagnosa Penyakit ISPA dengan Metode Forward Chaining
Pages: 738-746
Copyright (c) 2022 Debi Gusmaliza, Risnaini Masdalipa, Yadi Yadi

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).





















