Analysis of The Effectiveness of Covid-19 Prevention Measures in Manado City Using the K-means Method
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Abstract
Covid-19 is an infectious disease caused by the Coronavirus, spreading quickly and resulting in death. Thus, the government of Manado city recommends all the residents always comply with the Covid-19 health protocols. The study aimed to investigate the public's response to the effectiveness of the Covid-19 prevention measures imposed by the local government. The prevention measures include using masks, healthy lifestyles, clean lifestyles, and social distancing. K-means clustering was used to determine the level of effectiveness of prevention measures into four clusters, namely very effective (C1), moderately effective (C2), ineffective (C3), and very ineffective (C4). This algorithm yields consistent results despite the difficulty of predicting the K-values or the number of clusters at the beginning of the algorithm. As a result, 58% of respondents consider the prevention measures very effective. They have a high level of Covid-19 awareness and the consequences of violating the health protocols, even though about 10% of the respondents doubted the health protocols in Manado were effective due to the high number of death cases daily. The results can be used as insights for the local government to stop the spread of the Coronavirus in Manado city.
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References
Arsoni, Fitri, H., & Prasetyo, E. (2018). Penerapan Metode Clustering dengan Algoritma K-means pada Pengelompokkan Data Calon Mahasiswa Baru di Universitas Muhammadiyah Yogyakarta (Studi Kasus: Fakultas Kedokteran dan Ilmu Kesehatan, dan Fakultas Ilmu Sosial dan Ilmu Politik). Semesta Teknika, 21, 60-64.
Asri, I. H., Lestarini, Y., Husni, M., Muspita, Z., & Hadi, Y. A. (2021). Edukasi Pola Hidup Sehat di Masa Covid-19. Abdi Populika, 2, 56-63.
Atmojo, J. T. (2020). Penggunaan Masker Dalam Pencegahan Dan Penanganan Covid-19: Rasionalitas, Efektivitas, dan Isu Terkini. Journal of Health Research, 3,84-92.
Ayu, P. D. (2017). Analisis Pengukuran Tingkat Efektivitas dan Efisiensi Sistem Informasi Manajemen Surat STIKOM Bali. Jurnal Sistem Dan Informatika, 11,99-109.
Corona Sulutprov. (2021, October 2nd). Retrieved from Sulutprov: https://corona.sulutprov.go.id/
Hariyanto , M., & Shita, R. T. (2018). Clustering Pada Data Mining Untuk Mengetahui Potensi Penyebaran Penyakit DBD Menggunakan Metode Algoritma K-means dan Metode Perhitungan Jarak Euclidean Distance. SKANIKA, 1,117-122.
Informasi dan Koordinasi Covid-19 Pemerintah Kota Manado. (2021, October 11th). Retrieved from Pemerintah Kota Manado: https://covid19.manadokota.go.id/
Kemendikbud. (2021, September 30th). Retrieved from KBBI Daring: https://kbbi.kemdikbud.go.id/entri/efektif
Maulida, L. (2018). Penerapan Datamining Dalam Mengelompokkan Kunjungan Wisatawan Ke Objek Wisata Unggulan Di Provinsi DKI Jakarta. Jurnal Informatika Sunan Kalijaga, 2,167-174.
Mona, N. (2020). Konsep Isolasi Dalam Jaringan Sosial Untuk Meminimalisasi Efek Contagious (Kasus Penyebaran Virus Corona Di Indonesia). Jurnal Sosial Humaniora Terapan, 2,117-125.
Nakoe, M. R., Lalu, N. A., & Mohamad, Y. A. (2020). Perbedaan Efektivitas Hand Sanitizer Dengan Cuci Tangan Menggunakan Sabun Sebagai Bentuk Pencegahan Covid-19. Jambura Journal of Health Science and Research, 2, 65-68.
Pemerintah Kota Manado. (2021, September 30th). Retrieved from Jumlah Pendudukan Kota Manado: https://www.manadokota.go.id/index.php?/Infopenting/detail/jumlah-penduduk-kota-manado
Priati, & Fauzi, A. (2017). Data Mining dengan Teknik Clustering Menggunakan Algoritma K-means pada Data Transaksi Superstore,” dalam Seminar Nasional Informatika dan Aplikasinya. Seminar Nasional Informatika dan Aplikasinya (SNIA) 2017 (pp. 15-19). Cimahi: Universitas Jenderal Achmad Yani.
Sabarudin, Mahmudah, R., Ruslin, Aba, L., Nggawu, L., Syahbudin, Nirmala, F., Saputri, A.I., Hasyim, M. S. (2020). Efektivitas Pemberian Edukasi secara Online melalui Media Video dan Leaflet terhadap Tingkat Pengetahuan Pencegahan Covid-19 di Kota Baubau. Jurnal Farmasi Galenika, 6, 309 –318.
Solichin, A., & Khairunnisa, K. (2020). Klasterisasi Persebaran Virus Corona (Covid-19) Di DKI Jakarta Menggunakan Metode K-means. Fountain of Informatics Journal, 5, 52-59.
World Health Organization. (2021, February 25th). Protect yourself and others from COVID-19. Retrieved from World Health Organization: http://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public
Yatimah, D., Kustandi, C., Maulidina, A., Irnawan, F., & Andinnari, S. (2020). Peningkatan Kesadaran Masyarakat tentang Pencegahan COVID-19 berbasis Keluarga dengan Memanfaatkan Motion Grafis di Jakarta Timur. Jurnal Karya Abdi, 246-255.
Zahra , R. K., & Rina, N. (2018). Pengaruh Celebrity Endorser Hamidah Rachmayanti Terhadap Keputusan Pembelian Produk Online Shop Mayoutfit Di Kota Bandung. Jurnal Lontar, 43-57.