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All Journal Journal of Information Systems and Technology (JISTech)
Mirhan Siregar
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Computer Science & IT Control & Systems Engineering

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Analisis Perilaku Sosial Masyarakat Terhadap Pandemi Menggunakan Metode Fuzzy C-Means Mirhan Siregar; Murhaban
JISTech : Journal of Information Systems and Technology Vol. 1 No. 2 (2024): Desember 2024
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

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Abstract

The COVID-19 pandemic has significantly altered social behavior worldwide, including in Indonesia. To understand society's response to the pandemic, this study employs the Fuzzy C-Means (FCM) method to cluster social behavior based on three main criteria: adherence to health protocols, attitudes toward vaccination, and access to information. Data were collected from 67 respondents through an online questionnaire and analyzed using a fuzzy-based clustering approach that allows each respondent to have membership degrees in more than one cluster. The study identified three primary clusters. Cluster 1 consists of individuals with high adherence to health protocols and a positive attitude toward vaccination, with access to valid information. Cluster 2 represents individuals with moderate adherence and a neutral attitude toward vaccination, and variable access to information. Cluster 3 comprises individuals with low adherence to health protocols, negative attitudes toward vaccination, and a reliance on unverified information sources. This study reveals that access to valid information plays a significant role in shaping individuals' attitudes toward vaccination and compliance with health protocols. The Fuzzy C-Means method proved effective in identifying diverse social behavior patterns, offering a comprehensive understanding of society's response to the pandemic. The findings of this study are expected to contribute to the formulation of more targeted public policies to address different societal groups
Co-Authors Murhaban