Mirhan Siregar
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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
Sistem Informasi Layanan Rehabilitasi Pengguna NAPZA Berbasis Web pada Badan Narkotika Nasional Kabupaten Kolaka Eghy Agus Rinaldi; Noorhasanah Zainuddin; Mirhan Siregar
JISTech : Journal of Information Systems and Technology Vol. 2 No. 2 (2025): Desember 2025
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71234/jistech.v2i2.105

Abstract

Penyalahgunaan narkotika, psikotropika, dan zat adiktif (NAPZA) memerlukan layanan rehabilitasi yang terkelola secara efektif, terintegrasi, dan mudah diakses. Namun, proses layanan rehabilitasi di Badan Narkotika Nasional Kabupaten Kolaka masih menghadapi kendala dalam pengelolaan data, penyampaian informasi, dan efisiensi pelayanan. Penelitian ini bertujuan untuk mengembangkan sistem informasi layanan rehabilitasi pengguna NAPZA berbasis web guna meningkatkan kualitas pelayanan dan pengelolaan data rehabilitasi. Metode penelitian yang digunakan adalah rekayasa perangkat lunak dengan pendekatan pengembangan sistem Prototype, yang memungkinkan interaksi intensif antara pengembang dan pengguna dalam proses penyempurnaan sistem. Pengumpulan data dilakukan melalui observasi, wawancara, dan studi pustaka. Sistem dirancang menggunakan Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), dan flowchart, serta diimplementasikan menggunakan bahasa pemrograman PHP, basis data MySQL, dan antarmuka berbasis HTML dan CSS. Selain itu, sistem terintegrasi dengan WhatsApp API untuk mendukung notifikasi dan penyampaian informasi layanan. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu mengelola data rehabilitasi secara terstruktur, mempercepat penyampaian informasi, serta meningkatkan efisiensi dan transparansi layanan rehabilitasi. Sistem ini diharapkan dapat menjadi solusi pendukung dalam peningkatan layanan rehabilitasi NAPZA berbasis teknologi informasi