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Vol. 6 No. 1 (2026) • Articles
Open Access

Sistem Pendukung Keputusan Penentuan Risiko Penyakit Jantung Menggunakan Metode Fuzzy Mamdani Berbasis Website

josua pakpahan
Universitas Medan Area
Kristo Pandapotan Sinaga
niversitas Medan Area
Aldi Septinasa
Universitas Medan Area
Kevin Pangaribuan
eknik, Universitas Medan Area
Panji Patriot Putra
Universitas Medan Area
Rafael Jorgie Lumbanbatu
Universitas Medan Area
Dian Noviandri
Universitas Medan Area
Published: February 28, 2026 Pages: 42-51
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Abstract

Heart disease is one of the leading causes of death worldwide, requiring an effective system to support early and objective diagnosis. This study aims to develop a web-based Decision Support System (DSS) to determine heart disease risk levels using the Fuzzy Mamdani method. The research methodology applies the Waterfall software development model, consisting of requirement analysis, system design, implementation, and testing stages. The system is developed using the Laravel framework and MySQL database, with input variables including age, blood pressure, cholesterol level, maximum heart rate, and ST depression processed through fuzzification, inference, and defuzzification. System testing was conducted using the Cleveland Heart Disease dataset to evaluate the reliability of the fuzzy inference results. The results indicate that the system is able to produce accurate and consistent heart disease risk levels in accordance with the defined fuzzy rules. Therefore, the proposed DSS can effectively support early heart disease diagnosis.

Keywords:
Decision Support System Heart Disease Fuzzy Mamdani Risk Diagnosis Web-Based Application
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Author Biographies
josua pakpahan Universitas Medan Area

Program Studi Informatika, Fakultas Teknik, Universitas Medan Area, Kota Medan, Provinsi Sumatra Utara, Indonesia.

Kristo Pandapotan Sinaga niversitas Medan Area

Program Studi Informatika, Fakultas Teknik, Universitas Medan Area, Kota Medan, Provinsi Sumatra Utara, Indonesia.

Aldi Septinasa Universitas Medan Area

Program Studi Informatika, Fakultas Teknik, Universitas Medan Area, Kota Medan, Provinsi Sumatra Utara, Indonesia.

Kevin Pangaribuan eknik, Universitas Medan Area

Program Studi Informatika, Fakultas Teknik, Universitas Medan Area, Kota Medan, Provinsi Sumatra Utara, Indonesia.

Panji Patriot Putra Universitas Medan Area

Program Studi Informatika, Fakultas Teknik, Universitas Medan Area, Kota Medan, Provinsi Sumatra Utara, Indonesia.

Rafael Jorgie Lumbanbatu Universitas Medan Area

Program Studi Informatika, Fakultas Teknik, Universitas Medan Area, Kota Medan, Provinsi Sumatra Utara, Indonesia.

Dian Noviandri Universitas Medan Area

Program Studi Informatika, Fakultas Teknik, Universitas Medan Area, Kota Medan, Provinsi Sumatra Utara, Indonesia.

How to Cite
pakpahan, josua, Sinaga, K. P., Septinasa, A., Pangaribuan, K., Patriot Putra, P., Jorgie Lumbanbatu, R., & Noviandri, D. (2026). Sistem Pendukung Keputusan Penentuan Risiko Penyakit Jantung Menggunakan Metode Fuzzy Mamdani Berbasis Website. Jurnal Sistem Komputer (SISKOM), 6(1), 42-51. https://doi.org/10.63447/siskom.v6i1.1801
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