Penerapan Metode Forward Chaining dan Content-Based Filtering pada Sistem Informasi Perawatan Terpadu Pasien Tubercolosis

Authors

  • Novri Karno Dwi Putra Universitas Islam Negeri Sumatera Utara
  • Samsudin Samsudin Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.32493/jtsi.v7i1.38246

Keywords:

Tuberculosis, OAT, Forward Chaining, Content Base Filtering

Abstract

Tuberculosis (TB) is a disease caused by infection from the Mycobacterium Tuberculosis bacteria. Treatment for TB patients usually takes a long time and is mostly done independently by the patient. The doctor will usually prescribe anti-tuberculosis drugs (OAT) that are tailored to the patient's condition. While undergoing tuberculosis treatment, patients usually experience symptoms that are usually caused by tuberculosis bacterial infection and also symptoms that arise as a result of consuming OAT. Because the treatment process is carried out independently and the patient will experience many symptoms, the patient will definitely have difficulty carrying out his daily activities. Based on this, the author proposes the design and development of an expert system. This system will use the Forward Chaining method to find the symptoms experienced by the patient, then based on the symptoms found the system will determine side effects and provide suggestions that are relevant to the patient using the Content Based Filtering method. After the system is implemented, it is known that the system can diagnose the side effects of taking OAT from the visible symptoms and can recommend treatment according to the symptoms experienced by the patient.

References

Ardhiyani, R. P., & Mulyono, H. (2018). Analisis dan perancangan sistem informasi pariwisata berbasis web sebagai media promosi pada kabupaten tebo. Jurnal Manajemen Sistem Informasi, 3(1), 952-972.

Fortuna, T. A., Racmawati, H., Hasmono, D., & Karuniawati. (2022). Studi Penggunaan Obat Anti Tuberkulosis (OAT) Tahap Lanjutan pada Pasien Baru BTA Positif. Pharmacon: Jurnal Farmasi Indonesia, 19(1), 62-71.

Genakama, A., Hidayanti, L., & Hadisuyatmana, S. (2019). Faktor Perilaku Pencegahan Penularan TB Dengan Pendekatan Health Promotion Model. Indonesian Journal Of Community Health Nursing, 4(2), 53-59.

Irawan, M. D., & Simargolang, S. A. (2018). Implementasi E-Arsip Pada Program Studi Teknik Informatika. JTI(Jurnal Teknologi Informasi), 2(1), 67-84.

Mar'iyah, K., & Zulkarnain. (2021). Patofisiologi penyakit infeksi tuberkulosis.

Muflihin, H. H., Dhika, H., & Handayani, S. (2020). Perancangan Sistem Informasi Inventory Pada Toko Rosadah. Bianglala Inform, 8(2), 91-99.

Nugroho, F. A. (2018). Perancangan Sistem Pakar Diagnosa Penyakit Jantung Dengan Metode Forward Chaining. Jurnal Informatika Universitas Pamulang, 3(2), 75-79.

Rahman, M. M., Setyawati, T., Sarifuddin, & Wahyuni. (2023). Mekanisme OAT Dalam Tubuh Yang Mengakibatkan Risiko DILI (drug-induced liver injury) : Literature Review. Jurnal Medical Profession (MedPro), 5(1), 41-47.

Rukajaat, A. (2018). Pendekatan penelitian kualitatif (Qualitative research approach). Deepublish.

Sagala, R. J. (2018). Model Rapid Application Development (Rad) Dalam Pengembangan Sistem Informasi Penjadwalan belajar Mengajar. Jurnal Mantik Pernusa, 2(1), 88-95.

WHO. (2022). Global Tuberculosis Report 2022.

Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 Januari 2024

Downloads

Published

2024-01-30

How to Cite

Putra, N. K. D., & Samsudin, S. (2024). Penerapan Metode Forward Chaining dan Content-Based Filtering pada Sistem Informasi Perawatan Terpadu Pasien Tubercolosis. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 7(1), 227–234. https://doi.org/10.32493/jtsi.v7i1.38246

Issue

Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi

Section

Article

License

Copyright (c) 2024 Novri Karno Dwi Putra, Samsudin Samsudin

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. 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 acknowledgement of its initial publication in this journal.
  3. 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 (See The Effect of Open Access).

Jurnal Teknologi Sistem Informasi dan Aplikasi have CC BY-NC or an equivalent license as the optimal license for the publication, distribution, use, and reuse of scholarly work.

In developing strategy and setting priorities, Jurnal Teknologi Sistem Informasi dan Aplikasi recognize that free access is better than priced access, libre access is better than free access, and libre under CC BY-NC or the equivalent is better than libre under more restrictive open licenses. We should achieve what we can when we can. We should not delay achieving free in order to achieve libre, and we should not stop with free when we can achieve libre.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License

YOU ARE FREE TO:

  • Adapt - remix, transform, and build upon the material for any purpose, even commercially.
  • The licensor cannot revoke these freedoms as long as you follow the license terms