Analysis and Design of Disease Diagnosis Systems and Patient Medicine Recommendations with Forward Chaining Method

Authors

    Samuel Ryon Elkana( 1 ) Verri Kuswanto( 2 )

    (1) Universitas Buddhi Dharma
    (2) Universitas Buddhi Dharma

DOI:


https://doi.org/10.32877/bt.v6i2.937

Keywords:


Disease Diagnosis, Expert System, Forward Chaining, Hospital System, Laravel

Abstract

Technological developments have had a significant impact on many aspects of life, one of which is patient care in hospitals. Apart from using technology in patient care, technology also provides access to effective and efficient information storage and management to record patient data for treatment purposes. In outpatient services at hospitals, there are often complaints from employees regarding the health recording system which is less than optimal. Therefore, a system that manages disease diagnoses and patient treatment recommendations is something that needs to be developed, with the hope of speeding up the performance of medical personnel, so that they can help more patients who need help. The application system design aims to help manage information related to disease diagnosis and patient drug recommendations, where this system uses Forward Chaining to assist users in identifying diseases and prescribing drugs according to the diagnosis the patient is complaining about. By using the Forward Chaining methodology, medical personnel are able to obtain patient diagnosis results more quickly. The result is an application that can help medical personnel in serving outpatients from registration, examination, to exchanging medicines. This application has been tested using black-box testing involving several respondents, where respondents can feel that this application works well and helps hospital staff in examining patients.

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References

Peraturan Menteri Kesehatan RI, Peraturan Menteri Kesehatan Nomor 37 Tahun 2019 tentang Pedoman Pengelolaan Informasi Publik di Lingkungan Kementerian Kesehatan. 2019. [Online]. Available: https://peraturan.bpk.go.id/Home/Details/138630/permenkes-no-37-tahun-2019

Peraturan Menteri Kesehatan RI, Peraturan Menteri Kesehatan Republik Indonesia Nomor 18 Tahun 2022 tentang Penyelenggaraan Satu Data Bidang Kesehatan Melalui Sistem Informasi Kesehatan. 2022. [Online]. Available: https://yankes.kemkes.go.id/unduhan/fileunduhan_1662610931_564143.pdf

J. D. Fitriana, B. Prasetiyo, and R. Arifudin, “Expert System Diagnosis of Urinary System Diseases using Forward Chaining and Dempster Shafer,” Sci. J. Informatics, vol. 7, no. 1, pp. 143–152, 2020, doi: https://doi.org/10.15294/sji.v7i1.22400.

M. C. Sanjaya and A. Z. Falani, “Sistem Pakar Untuk Menentukan Paket Layanan Tv Kabel Dan Internet Sesuai Dengan Budget Menggunakan Metode Forward Chaining,” U-NET J. Tek. Inform., vol. 5, 2021, [Online]. Available: https://ejurnal.univalabuhanbatu.ac.id/index.php/u-net/article/view/335

N. Ahmad and Iskandar, “Metode Forward Chaining untuk Deteksi Penyakit Pada Tanaman Kentang,” J. Inf. Technol., vol. 1, 2020, [Online]. Available: https://journal.ar-raniry.ac.id/index.php/jintech/article/view/592

I. Gupta and G. Nagpal, Artificial Intelligence and Expert Systems. Dulles: Mercury Learning and Information, 2020.

M. Sidik, B. Gunawan, and D. Anggraini, “Pembuatan Aplikasi Chatbot Kolektor dengan Metode Extreme Programming dan Strategi Forward Chaining,” J. Teknol. Inf. dan Ilmu Komput., vol. 8, no. 2, pp. 293–302, Mar. 2021, doi: 10.25126/jtiik.2021824298.

S. Rofiqoh, D. Kurniadi, and A. Riansyah, “Sistem Pakar Menggunakan Metode Forward Chaining untuk Diagnosa Penyakit Tanaman Karet,” Sultan Agung Fundam. Res. J., vol. 1, 2020, [Online]. Available: http://jurnal.unissula.ac.id/index.php/safrj/article/view/7772

T. Sugihartono, R. R. C. Putra, and D. Ardiansyah, “Penerapan Aplikasi Diagnosa Penyakit Jantung menggunakan Algoritma Forward Chaining Berbasis Mobile,” J. Inform., vol. 19, no. 2, 2019, [Online]. Available: https://jurnal.darmajaya.ac.id/index.php/JurnalInformatika/article/view/1523

A. Nurseptaji, A. Arey, F. Andini, and Y. Ramdhani, “Implementasi Metode Waterfall pada Perancangan Sistem Informasi Perpustakaan,” J. Dialekt. Inform., vol. 1, no. 2, pp. 49–57, 2021, doi: 10.24176/detika.v1i2.6101.

D. Mallisza, H. S. Hadi, and A. T. Aulia, “Implementasi Model Waterfall Dalam Perancangan Sistem Surat Perintah Perjalanan Dinas Berbasis Website Dengan Metode SDLC,” J. Tek. Komputer, Agroteknologi dan Sains, vol. 1, 2022, doi: 10.56248.

Y. D. Wijaya and M. W. Astuti, “Pengujian Blackbox Sistem Informasi Penilaian Kinerja Karyawan PT INKA (Persero) Berbasis Equivalence Partitions,” J. Digit. Teknol. Inf., vol. 4, no. 1, pp. 21–26, 2021, doi: https://doi.org/10.32502/digital.v4i1.3163.

N. F. Abdi and S. R. C. Nursari, “Pengujian Black Box pada Website dengan Metode Robustness Testing (Studi Kasus:Eiger Adventure),” J. Informatics Adv. Comput., vol. 3, no. 2, pp. 93–96, 2022, [Online]. Available: https://journal.univpancasila.ac.id/index.php/jiac/article/view/4410

K. D. P. Novianti, N. K. W. L. Putri, and I. A. G. W. Purnamayanti, “Analisis Penerimaan Sistem Informasi Menggunakan Technology Acceptance Model (Studi Kasus : SIJALAK Desa Pohsanten),” Inser. Inf. Syst. Emerg. Technol. J., vol. 2, no. 2, pp. 113–125, 2021, doi: 10.23887/insert.v2i2.43135.

A. Rahmawati, D. Novita, and I. Pradesan, “Perancangan Kuesioner Analisis Penerimaan E-Tax Menggunakan Technology Acceptance Model (TAM),” MDP Student Conf., vol. 1, no. 1, pp. 512–517, 2022, [Online]. Available: https://jurnal.mdp.ac.id/index.php/msc/article/view/1848

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Published

2023-12-28

How to Cite

[1]
S. R. Elkana and V. Kuswanto, “Analysis and Design of Disease Diagnosis Systems and Patient Medicine Recommendations with Forward Chaining Method”, bit-Tech, vol. 6, no. 2, pp. 134–143, Dec. 2023.

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DOI : https://doi.org/10.32877/bt.v6i2.937
Abstract views: 45 / PDF downloads: 68