Improving Coronary Heart Disease Detection Using K-Means Clustering Techniques

Penulis

  • Junaidy Sanger Program Studi Teknik Informatika, Fakultas Teknik, Universitas Katolik De La Salle Manado
  • Liza Wikarsa Universitas Katolik De La Salle Manado https://orcid.org/0000-0002-7842-161X
  • Angelica Taulu Program Studi Teknik Informatika, Fakultas Teknik, Universitas Katolik De La Salle Manado

DOI:

https://doi.org/10.25077/TEKNOSI.v11i2.2025.107-117

Abstrak

The heart is a vital organ in the cardiovascular system, playing a crucial role in blood circulation and supplying the body with oxygen and nutrients. Cardiovascular diseases, particularly coronary heart disease (CHD), are the leading cause of death worldwide. In Indonesia, especially in North Sulawesi, the high prevalence of CHD is indicative of the effects of an unhealthy lifestyle. This study employs the K-Means clustering method to identify the early risk of CHD based on eight common symptoms, including chest pain, nausea, shortness of breath, heartburn, a history of hypertension, obesity, diabetes, and genetics. This innovative approach integrates these early warning signs and categorizes the risk into three groups: low CHD risk (C1), moderate CHD risk (C2), and high CHD risk (C3). The detection results are provided based on responses collected through a questionnaire within an application, aiming to raise awareness of CHD and encourage users to seek further health evaluations and adopt healthier lifestyles.

Referensi

WHO, "Cardiovascular diseases," February 2023. [Online]. Available: https://www.who.int/health-topics/cardiovascular-diseases.

F. Ulya and B. Santosa, "Kemenkes: Penyakit Jantung Penyebab Kematian Tertinggi pada 2014-2019," Februari 2023. [Online]. Available: https://nasional.kompas.com/read/2022/09/28/17402891/kemenkes-penyakit-jantung-penyebab-kematian-tertinggi-pada-2014-2019.

T. Mylano, "Mengenal Penyakit Jantung Koroner, Penyebab Kematian Tertinggi di Dunia," April 2023. [Online]. Available: https://www.siloamhospitals.com/en/informasi-siloam/artikel/mengenal-penyakit-jantung-koroner-penyebab-kematian-tertinggi-di-dunia.

E. Hastuti, "Pencegahan dan Pengobatan Penyakit Jantung Koroner," Juli 2022. [Online]. Available: https://yankes.kemkes.go.id/view_artikel/701/pencegahan-dan-pengobatan-penyakit-jantung-koroner.

Rokom, "Penyakit Jantung Koroner Didominasi Masyarakat Kota," September 2021. [Online]. Available: https://sehatnegeriku.kemkes.go.id/baca/umum/20210927/5638626/penyakit-jantung-koroner-didominasi-masyarakat-kota/.

Mustika, Y. Ardilla, N. Ahmad, I. Hasbi, Guntoro, M. Manuhutu, M. Ridwan, Hozairi, A. Wardhani, S. Alim, I. Romli, Y. Religia, D. Octafian, U. Sufandi and L. Ernawati, Data Mining dan Aplikasinya, Bandung: Widina Bhakti Persada Bandung (Grup CV. Widina Media Utama), 2021.

R. Muhima, M. Kurniawan, S. Wardhana, A. Yudhana, Sunardi, W. Rahmawati and G. Yuliastuti, Kupas Tuntas Algoritma Clustering: Konsep, Perhitungan Manual, dan Program, Yogyakarta: ANDI, 2021.

R. Fadilla, R. Andarsyah and R. Awangga, Data Analytics: Peningkatan Performa Algoritma Rekomendasi Collaborative Filtering menggunakan K-Means Clustering, Bandung: Kreatif Industri Nusantara, 2020.

D. Haryadi and D. Atmaja, "Penerapan Algoritma K-Means Clustering Untuk Pengelompokan Tingkat Risiko Penyakit Jantung," Journal of Informatics and Communications Technology (JICT), vol. 3, no. 2, pp. 51-66, 2021.

Y. Tedju, Y. Kaesmetan and M. Lamabelawa, "Pengelompokan Penyakit Hipertensi di Kota Kupang menggunakan Metode K-Means," Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 13, no. 2, pp. 98-108, 2022.

R. Anggraini, E. Haerani and I. Afrianty, "Pengelompokkan Penyakit Pasien Menggunakan Algoritma K-Means," Jurnal Riset Komputer (JURIKOM), vol. 9, no. 6, pp. 1840-1848, 2022.

Yurindra, Software Engineering, Yogyakarta: Deepublish, 2017.

N. Ahmad, E. Krisnanik, F. Rupilele, A. Muliawati, N. Syamsiyah, Kraugusteeliana, B. Cahyono, Y. Sriyeni, T. Kristanto, Irwanto and Guntoro, Analisa & Perancangan Sistem Informasi Berorientasi Objek, Bandung: Widina Media Utama, 2022.

C. Mandagie, Interviewee, Jumlah umat Paroki Hati Tersuci Maria Katedral Manado. [Interview]. September 2023.

S. Raharjo, "Distribusi Nilai Tabel," Februari 2021. [Online]. Available: https://www.spssindonesia.com/2014/02/download-distribusi-nilai-tabel.html.

L. Wikarsa, S. Pandelaki and H. Kurnia, "Analisis Efektivitas Tindakan Pencegahan Covid-19 di Kota Manado Menggunakan Metode K-means," Jurnal Pekommas, vol. 7, no. 1, p. 22, 2022.

Telah diserahkan

28-11-2024

Diterima

28-08-2025

Diterbitkan

01-09-2025

Cara Mengutip

[1]
J. Sanger, L. Wikarsa, dan A. Taulu, “Improving Coronary Heart Disease Detection Using K-Means Clustering Techniques”, TEKNOSI, vol. 11, no. 2, hlm. 107–117, Sep 2025.

Terbitan

Bagian

Articles