Countries worldwide have deployed mass COVID-19 vaccination drives, but there are people who are hesitant to receive the vaccine. Studies assessing the factors associated with COVID-19 vaccination hesitancy are inconclusive. This study aimed to assess the global prevalence of COVID-19 vaccination hesitancy and determine the potential factors associated with such hesitancy. We performed an organized search for relevant articles in PubMed, Scopus, and Web of Science. Extraction of the required information was performed for each study. A single-arm meta-analysis was performed to determine the global prevalence of COVID-19 vaccination hesitancy; the potential factors related to vaccine hesitancy were analyzed using a Z-test. A total of 56 articles were included in our analysis. We found that the global prevalence of COVID-19 vaccination hesitancy was 25%. Being a woman, being a 50-year-old or younger, being single, being unemployed, living in a household with five or more individuals, having an educational attainment lower than an undergraduate degree, having a non-healthcare-related job and considering COVID-19 vaccines to be unsafe were associated with a higher risk of vaccination hesitancy. In contrast, living with children at home, maintaining physical distancing norms, having ever tested for COVID-19, and having a history of influenza vaccination in the past few years were associated with a lower risk of hesitancy to COVID-19 vaccination. Our study provides valuable information on COVID-19 vaccination hesitancy, and we recommend special interventions in the sub-populations with increased risk to reduce COVID-19 vaccine hesitancy.

Posisi kerja yang tidak tepat menyebabkan gangguan otot dan memberikan beban kerja. Ada banyak faktor yang menyebabkan gangguan muskuloskeletal pada pekerja salah satunya adalah postur tubuh. Postur tubuh adalah salah satu faktor potensial penyebab gangguan muskuloskeletal pada pekerja. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh postur kerja pada gangguan muskuloskeletal pada pekerja bagian Konstruksi Hull di PT. Dok dan Perkapalan Surabaya (Persero).Jenis penelitian ini adalah penelitian analitik observasional dengan desain cross sectional. Prosedur pengumpulan data akan dilakukan dengan mengamati pekerjaan pekerja, mewawancarai pekerja tentang gangguan muskuloskeletal menggunakan kuesioner Nordic Body Maps (NBM) dan penilaian postur kerja menggunakan metode Ovako Working Analysis System (OWAS). Jumlah sampel dalam penelitian ini sebanyak 50 pekerja bagian Konstruksi Hull. Teknik pengambilan sampel yang digunakan adalah simple random sampling. Data yang terkumpul akan dianalisis secara univariat dan bivariat dengan uji statistik yaitu chi square.Hasil penelitian menunjukkan bahwa sebagian besar pekerja usia lebih dari 35 tahun (88%), memiliki masa kerja lebih dari 5 tahun (88%), memiliki kebiasaan merokok sedang (60%), memiliki postur kerja dengan kategori sedang (58%), dan memiliki gangguan muskuloskeletal sedang (66%). Ada korelasi yang signifikan antara postur kerja (p = 0,00), usia (p = 0,00), masa kerja (p = 0,00) pada gangguan muskuloskeletal. Tidak ada efek merokok (p = 1,00) pada gangguan muskuloskeletal.Dianjurkan agar perusahaan memberikan istirahat pendek (5-10 menit), memberikan dukungan kembali, rotasi pekerjaan dan pemeriksaan medis yang berkaitan dengan kondisi otot dan tulang untuk meminimalkan gangguan muskuloskeletal. Para pekerja disarankan untuk pelatihan tentang ergonomis terutama gangguan muskuloskeletal dan peregangan sebelum melakukan aktivitas kerja. Kata Kunci: Postur Kerja, Muskuloskeletal, Pekerja

This is an open access article under the CC-BY license.

The abundance of students causes student data in the system to also be abundant. Schools often find it difficult to manage large amounts of data manually, especially in selecting National Science Olympiad participants and decisions made are less effective. So this research was conducted with the aim of helping the school in selecting OSN participants appropriately and effectively. The method used is Clustering with K-Means algorithm on the report card grades of students majoring in Natural Sciences at SMA Negeri 5 Sijunjung. The results in this study get 3 clusters of students on the selection of OSN participants, namely students who are Very Competent, Competent and Less Competent. This research can be used as a benchmark used by schools in making decisions on the selection of OSN participants.

The abundance of students causes student data in the system to also be abundant. Schools often find it difficult to manage large amounts of data manually, especially in selecting National Science Olympiad participants and decisions made are less effective. So this research was conducted with the aim of helping the school in selecting OSN participants appropriately and effectively. The method used is Clustering with K-Means algorithm on the report card grades of students majoring in Natural Sciences at SMA Negeri 5 Sijunjung. The results in this study get 3 clusters of students on the selection of OSN participants, namely students who are Very Competent, Competent and Less Competent. This research can be used as a benchmark used by schools in making decisions on the selection of OSN participants.