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Sistem Pendukung Keputusan Dengan Metode Weighted Product Untuk Memilih Protokol Pengobatan Pneumonia Pada Anak Berdasarkan Kondisi Klinis

Penulis

  • Nurmala Sridewi Universitas Battuta
  • Dewi Wahyuni Universitas Battuta, Medan. Sumatera Utara

DOI:

https://doi.org/10.54593/jstekwid.v4i1.438

Abstrak

Pneumonia is one of the leading causes of morbidity and mortality in children, especially in developing countries. Choosing the appropriate treatment protocol is crucial to ensure the effectiveness of therapy and prevent complications. This study develops a Decision Support System (DSS) using the Weighted Product (WP) method to assist healthcare professionals in determining the appropriate pneumonia treatment protocol for children based on clinical conditions. The system takes into account various criteria, such as the severity of pneumonia, patient age, nutritional status, the presence of comorbidities, and the response to initial treatment. The test results show that this system can provide accurate and consistent recommendations in accordance with current clinical guidelines. Therefore, this DSS can be an effective tool to improve the quality of clinical decision-making.

Keywords: Decision Support System, Weighted Product, Pneumonia, Children, Treatment Protocol, Clinical Conditions.

Biografi Penulis

Nurmala Sridewi, Universitas Battuta

Program Studi SIstem Informasi

Dewi Wahyuni, Universitas Battuta, Medan. Sumatera Utara

Program Studi Sistem Informasi

Referensi

World Health Organization. (2020). Guidelines for the Management of Pneumonia in Children.

Kementerian Kesehatan Republik Indonesia. (2021). Pedoman Pengobatan Pneumonia pada Anak.

Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill.

Turban, E., Sharda, R., & Delen, D. (2011). Decision Support and Business Intelligence Systems. Pearson.

Xie, J., Wang, Y., & Li, M. (2019). A Decision Support System for Cardiovascular Disease Diagnosis Using Multicriteria Analysis. International Journal of Medical Informatics.

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Diterbitkan

2025-01-30

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