Decision Support System for Selecting Traditional Cardiovascular Treatment Using the SAW Method
DOI:
https://doi.org/10.22303/csrid-.18.2.2026.287-299Keywords:
Decision Support System, Simple Additive Weighting, SAW, Cardiovascular Disease, Traditional MedicineAbstract
Cardiovascular disease is one of the leading causes of death worldwide and requires appropriate treatment and therapy selection. In addition to conventional medical treatment, traditional herbal medicine is widely used as an alternative therapy. However, the large number of available herbal remedies often makes it difficult for people to determine the most appropriate option. This study aims to develop a web-based Decision Support System (DSS) to recommend traditional herbal treatments for cardiovascular diseases using the Simple Additive Weighting (SAW) method. The SAW method was implemented through the stages of alternative determination, criteria identification, criteria weighting, decision matrix construction, normalization, preference value calculation, and ranking. The system was developed using PHP and MySQL and evaluated through Black Box Testing. The results indicate that the system is capable of integrating disease data, symptom data, herbal treatment alternatives, and evaluation criteria to generate recommendations based on the highest preference values. Based on the SAW calculation, A1 (Garlic) achieved the highest preference value of 0.94, followed by A5 (0.91) and A7 (0.89), making it the most recommended traditional treatment according to the criteria of treatment effectiveness, cost, side effects, and herbal availability. The system testing results also showed that all major functions operated as expected. Therefore, the SAW method can be effectively applied as a simple, objective, and practical decision-making approach for recommending traditional treatments for cardiovascular diseases.
References
S. S. Tisna Destiana, Samsir, “Sistem Pakar Diagnosis KERUSAKAN RAMBUT Berbasis Web Menggunakan Metode Certainty Factor,” CSRID J., vol. 18, no. 1, pp. 83–97, 2026, [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=4RsN9-8AAAAJ&sortby=pubdate&authuser=2&citation_for_view=4RsN9-8AAAAJ:_kc_bZDykSQC
Selamat Subagio; Rahmayani; Samsir Samsir; Wahyu Azhar;, “Sistem Pakar Diagnosa Penyakit PEROKOK Menggunakan Metode Backward Chaining,” CSRID J., vol. 17, no. 3, pp. 340–353, 2025, [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=4RsN9-8AAAAJ&sortby=pubdate&authuser=2&citation_for_view=4RsN9-8AAAAJ:5nxA0vEk-isC
S. s.subagio, selamat subagio, nisa indriani rambe, “Sistem Pakar Deteksi Awal DEPRESI Menggunakan Gejala Psikologis Metode Certainty Factor,” CSRID J. Potensi Utama, vol. 17, no. 2, pp. 93–105, 2025, [Online]. Available: https://csridjournal.potensi-utama.org/index.php/CSRIDjournal/article/view/245
A. S. Selamat Subagio, Samsir, “Sistem Pakar Diagnosa Penyakit STROKE Menggunakan Metode Forward Chaining bagi Dosen UNIVA Labuhanbatu,” CSRID J. Potensi Utama, vol. 17, no. 2, pp. 27–41, 2025, [Online]. Available: https://csridjournal.potensi-utama.org/index.php/CSRIDjournal/article/view/241
S. S. Annisa Ainun, Samsir Samsir, “Sistem Pakar Diagnosa Penyakit DBD Pasien Puskesmas Tanjung Sarang Elang Menggunakan Metode Certainty Factor,” CSRID J. Potensi Utama, vol. 17, no. 1, pp. 118–126, 2025, [Online]. Available: https://csridjournal.potensi-utama.org/index.php/CSRIDjournal/article/view/226%0A
R. Aditiya, A. H. Dalimunthe, and S. Subagio, “Implementasi Algoritma APRIORI Menggunakan Tanagra Pada Coffe Shop Ruang Seduh Untuk Meningkatkan Penjualan,” J. BisantaraInform.,vol.7,no.2,pp.19,2023,[Online].Available:https://bisantara.amikparbinanusantara.ac.id/index.php/bisantara/article/view/96
S. Subagio and S. Samsir, “Rancang Bangun Aplikasi Administrasi BMT Yayasan Al-Bukhary Rantauprapat,” J. Mach. Learn. Data …, vol. 01, no. 02, pp. 101–106, 2022, [Online]. Available:https://journal.fkpt.org/index.php/malda/article/view/304%0Ahttps://journal.fkpt.org/index.php/malda/article/download/304/198
R. S. Saragih and S. Samsir, “Sistem Pakar Diagnosa Diabetes Berdasarkan Riwayat Keluarga Metode Analytic Hierarchy Process ( AHP ),” vol. 17, no. 2, pp. 80–92, 2025.
Selamat Subagio, “Sistem Pengembangan E-COMMERCE OK Jaya Tas (Studi Kasus : UD. OK Jaya Tas Rantauprapat,” J. Inform. Komput. Log., vol. 2, no. 3, 2021, [Online]. Available: http://ojs.logika.ac.id/index.php/jikl/article/view/75%0A
K. Anwar, S. Subagio, and S. A. Rambe, “Penerapan Metode Ucd (User Centered Design) Pada E-COMMERCE Cv Keswa Creative Production Berbasis Web,” Simtek J. Sist. Inf. dan Tek. Komput., vol. 10, no. 1, pp. 206–210, 2025, doi: 10.51876/simtek.v10i1.1541.
S. samsir Selamat Subagio, Fauji Harahap, “Sistem Pakar Diagnosa Penyakit Rabun Mata Menggunakan Metode Certainty Factor (CF) di Puskesmas Tanjung Sarang Elang,” CSRID J. Potensi Utama, vol. 17, no. 2, pp. 55–67, 2025, [Online]. Available: https://csridjournal.potensi-utama.org/index.php/CSRIDjournal/article/view/242
Samsir, A. Sahmuda, and S. Subagio, “AHP-Based Expert System untuk Mengidentifikasi dan Mengklasifikasikan Kesulitan Belajar Anak,” CSRID (Computer Sci. Res. Its Dev. Journal), vol. 17, no. 3, pp. 311–325, 2025, [Online]. Available: https://csridjournal.potensi-utama.org/index.php/CSRIDjournal/article/view/291/88
A. Ainun, S. Samsir, and S. Subagio, “Sistem Pakar Diagnosa Penyakit DBD Pasien Puskesmas Tanjung Sarang Elang Menggunakan Metode Certainty Factor,” CSRID J., vol. 17, no. 2, pp. 118–126, 2025
S. R. Munthe, Samsir, and R. A. Levianti, “Hybrid Framework Addressing Imbalanced Data in Indonesian E-commerce Multimodal Sentiment Analysis,” Teknika, vol. 14, no. 3, pp. 363–370, 2025, doi: 10.34148/teknika.v14i3.1332.
I. Syahputra Panjaitan, S. Subagio, U. Al, W. Labuhanbatu, J. H. Adam, and M. Lingkar, “Sistem Pakar Deteksi Penyakit Culvularia Dengan Metode Forward Chaining Expert System for Detecting Culvularia Disease Using the Forward Chaining Method,” vol. 17, no. 1, p. 106, 2025, [Online]. Available: https://www.doi.org/10.22303/csrid
S. N. N. Arif, A. M. Siregar, S. Faisal, and A. R. Juwita, “Klasifikasi Penyakit Serangan Jantung Menggunakan Metode Machine Learning K-Nearest Neighbors (KNN) dan Support Vector Machine (SVM),” J. Media Inform. Budidarma, vol. 8, no. 3, p. 1617, 2024, doi: 10.30865/mib.v8i3.7844.
A. S. Siregar, W. A. Ritonga, and S. Samsir, “Sistem Pakar Pemilihan Jurusan Kuliah Berdasarkan Minatdan Bakat Metode Certainty Factor (CF),” Juni, vol. 17, no. 2, p. 163, 2025, [Online]. Available: https://www.doi.org/10.22303/csrid
R. S. Saragih and S. Samsir, “Sistem Pakar Diagnosa Diabetes Berdasarkan Riwayat Keluarga Metode Analytic Hierarchy Process ( AHP ),” vol. 17, no. 2, pp. 80–92, 2025.
S. Samsir, J. Y. Yani, W. Azhar Ritonga, R. Alfauzan Harahap, and D. Andriyani, “Integrasi Teknologi Pada Tanaman Obat Dan Pengobatan Tradisional Di Tanjung Medan Sumatera Utara Berbasis Android,” KOMUNITA J. Pengabdi. dan Pemberdaya. Masy., vol. 4, no. 4, pp. 1009–1021, 2025, doi: 10.60004/komunita.v4i4.263.
D. Syahputra, N. Astrianda, R. A. Syahputra, and R. Suhendra, “Leveraging Machine Learning for Sentiment Analysis in Hotel Applications : A Comparative Study of Support Vector Machine and Random Forest Algorithms,” vol. 4, no. 2, pp. 567–576, 2024.
S. Samsir, W. Azhar Ritonga, R. Aditiya, and R. Watrianthos, “Machine learning-driven sentiment analysis of social media data in the 2024 U.S. presidential race,” Bull. Inf. Technol., vol. 5, no. 4, p. 1762, 2024, doi: 10.47065/bit.v5i2.1762.
A. Ainun, S. Samsir, and S. Subagio, “Sistem Pakar Diagnosa Penyakit DBD Pasien Puskesmas Tanjung Sarang Elang Menggunakan Metode Certainty Factor,” CSRID J., vol. 17, no. 2, pp. 118–126, 2025.
