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All Journal Jurnal Ilmiah Matrik
Damanik, Masliana
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Computer Science & IT

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Analisis Penilaian Pelayanan Puskesmas Terhadap Pemberian Vaksin COVID-19 dengan Metode K-Means Clustering Sriani, Sriani; Suhardi, Suhardi; Damanik, Masliana
Jurnal Ilmiah Matrik Vol. 26 No. 2 (2024): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v26i2.3218

Abstract

The Public Health Center is responsible for implementing health policies to achieve health development goals in its area, supporting the realization of a healthy sub-district. One example is the Negeri Lama Public Health Center in Bilah Hilir Sub-district, Labuhanbatu Regency, which serves eight villages with a total population of 36,370 in 2021. The quality of services provided influences patient perceptions, making it essential to continuously improve service quality. This study categorizes the assessment of COVID-19 vaccination services at Negeri Lama Public Health Center using the K-Means Clustering method. This method classifies data into three categories: Very Good Service, Good Service, and Poor Service. The study results show that the Very Good Service category includes six variables with a centroid of 0.519667, the Good Service category includes two variables with a centroid of 0.4605, and the Poor Service category includes two variables with a centroid of 0.3795. This method is considered effective in managing large data accurately
Co-Authors Muhammad Luthfi