Kebijakan Pemerintah Mengenai Coronavirus Disease (COVID-19) di Setiap Provinsi di Indonesia Berdasarkan Analisis Klaster

Rembulan, Glisina Dwinoor; Wıjaya, Tony; Palullungan, Desribeth; Alfina, Kartika Nur; Qurthuby, Muhammad

doi:10.30813/jiems.v13i2.2280

Cited by 15 publications

(15 citation statements)

References 7 publications

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“…39 However, the disparity of engagement levels in these efforts might produce hotspots with additional waves of mutated-virus infection, certain clusters might be suffering more severely affected by COVID-19. 40,41 This rapid-on-line survey was responded predominantly by female participants and the age group between 18-50 years. They mostly graduated from the primary and secondary education levels, and this was presented in the predominant occupation of the respondents were university students, while private and public employees came next.…”

Section: Discussionmentioning

confidence: 99%

Health literacy on COVID-19 and COVID-19 vaccinations in Indonesia

et al. 2022

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Introduction: Health literacy on the coronavirus disease 2019 (COVID-19) affects people’s capability to ascertain their health and health care quality during the pandemic. The objective of this study was to determine the levels of health literacy about COVID-19 vaccines and vaccinations (Vaccines and Vaccinations literacy-VL) in the Indonesian adult general population, assessing the perceptions of the respondents about current adult immunization and beliefs about vaccinations in general, and analyzing correlations of these variables with the VL levels. Methods: A cross-sectional study using a rapid survey was administered via the Internet. Data were analyzed using descriptive and inferential statistics; the internal consistency of the VL scales was evaluated using Cronbach’s alpha coefficient; the inter-correlation between the functional and interactive-critical VL questions, the underlying components (factors) and each question’s load on the components were identified using a Principal Component Analysis (PCA). An alpha level lesser than 0.05 was considered significant. Results: Responses to functional- and interactive/ critical- VL questions were acceptable and showed internal consistency (Cronbach’s alpha = 0.817 and 0.699, respectively), lowest values observed were 0.806 for functional scale and 0.640 for the interactive-critical scale. The PCA demonstrated that there were two components accounting for 52.45% of the total variability. Approximately 60% of respondents were females (n=686). Almost all respondents used the internet to seek information regarding COVID-19 and COVID-19 vaccinations. Many used at least one social media actively with 74.4% of respondents sometimes believing the validity of this information. Conclusions: High scores were observed in both functional- and interactive/ critical-VL, and were quite in a balance between sexes in the prior VL and higher in females for the latter; these were also closely related to the educational level and age group. It is crucial to increase public health literacy in managing the pandemic.

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Section: Discussionmentioning

confidence: 99%

Health literacy on COVID-19 and COVID-19 vaccinations in Indonesia

et al. 2022

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“…World Health Organization (WHO) menginformasikan bahwa Covid-19 sebagai pandemi pada 11 Maret 2020 [5] [6]. Virus ini menyebabkan infeksi pada paru-paru yang berdampak fatal berupa kematian [1][7] [8][9] [10]. Virus ini dapat diderita oleh siapa saja.…”

Section: Pendahuluanunclassified

“…Mulai dari balita, sampai lansia sekalipun. Namun kebanyakan dari kasus meninggal dunia yang diakibatkan oleh virus ini terjadi pada rentang usia lansia dan mengidap penyakit kronis bawaan [7] [8].…”

Section: Pendahuluanunclassified

Prediksi Status Penanganan Pasien Covid-19 dengan Algoritma Naïve Bayes Classifier di Provinsi Riau

Pramana

Mustakim

2021

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Covid-19 is a new virus that emerged at the end of 2019 in Wuhan city, China. This virus continues to grow until it spreads to various countries in the world. As a result, there has been a large accumulation of Covid-19 patients in every hospital in every country affected by Covid-19. Covid-19 patients receiving treatment in hospitals have different conditions and severity, this of course affects the different mechanism for handling patients. Therefore, technological support is needed to help classify the treatment of patients so that they can be concentrated on patients who can be treated with isoman treatment or must be referred to hospital. This research was conducted to build a model based on a dataset of patients infected with Covid-19 using the Naive Bayes Classifier algorithm. The model built can predict the treatment status of patients based on age and gender who have the highest probability of being treated in an isoman way or having to be referred to hosspital. Data used is applied using Rapidminer with validation used is spill validation with the ratio of training data is 70% and test data is 30%. The results of this research indicate classification using the Naive Bayes Classifier algorithm has a high level of accuracy in classifying patient status data, rately 83.33%.

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“…Several researchers have conducted research on Covid-19 cases and their clustering at the world level [8], Covid-19 cases of District Jember [1], and some countries [2], but more in-depth analysis is needed to find out the cases of Covid-19 spread in Indonesia [6] especially in East Java. The purpose of this study is to account for the spread of the Covid-19 Virus in East Java province based on parameters of the number of positive cases, patients recovered, patients died, suspects, and probable.…”

Section: Introductionmentioning

confidence: 99%

Hybrid clustering and classification methods to find out the pattern of the spread of covid-19 in East Java province

Umam

Fatekurohman

Anggraeni

2022

J. Phys.: Conf. Ser.

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Covid-19 entered Indonesia in March 2020, which had an extraordinary impact on all aspects of life. The real impact is the economic and social sectors. Various efforts and policies from the Indonesian government were made to suppress the increase in the rate of Covid-19 cases. The spread of Covid-19 cases in Indonesia has been evenly distributed in various provinces, one of which is East Java. East Java has 38 districts/cities, where the case of each district is different, there are green, yellow, red, and black zones. To find out the pattern of spread of each district/city zone, clustering is used. The method used in this study was to use the hybrid method of clustering with K-means and classification with its algorithm Decision Tree. The purpose of this study to prepare mitigation measures to inhibit the rate of spread of Covid-19 in East Java Province. The variables used include the number of positive, the number of dead, the number of recovered, the number of suspects, and the number of probable. With this grouped data, it is expected to help make the right decision in reducing the spread and minimizing the number of positive patients. Based on the results of the study, there will be cluster results, namely 7 very high-risk areas (C0), 1 high risk district (C1), 29 moderate risk districts (C2), and 1 low-risk district (C3). It also has a validity index level of 0.356 as measured by the Davies-Bouldin Index.

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Kebijakan Pemerintah Mengenai Coronavirus Disease (COVID-19) di Setiap Provinsi di Indonesia Berdasarkan Analisis Klaster

Cited by 15 publications

References 7 publications

Health literacy on COVID-19 and COVID-19 vaccinations in Indonesia

Health literacy on COVID-19 and COVID-19 vaccinations in Indonesia

Prediksi Status Penanganan Pasien Covid-19 dengan Algoritma Naïve Bayes Classifier di Provinsi Riau

Hybrid clustering and classification methods to find out the pattern of the spread of covid-19 in East Java province

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