Hubungan Tingkat Pengetahuan Tentang Covid’19 Terhadap Tingkat Kecemasan Pada Masyarakat Rt 03 Rw 09 Di Desa Buaran Serua Indah

ABSTRACT Introduction: Corona virus or called Coronavirus Disease (COVID-19) is a disease caused by a new type of Corona Virus, Sars-Cov-2. The outbreak was first detected in Wuhan, China on December 11, 2019 and was designated as a global COVID-19 pandemic by the Indonesian Health Organization (WHO) on March 11, 2020. Knowledge is the understanding of a given topic. By having a good knowledge, people's anxiety levels decrease and become mild. Research Objective is to find out the relationship of knowledge levels about COVID'19 to anxiety levels in the RT 03 RW 09 community in Buaran Serua Indah Village. The research method used is a quantitative method, that uses a cross-sectional approach. The study's measuring instrument used questionnaires. The population in this study is a community aged 17-55 years on RT 03 RW 09 in Buaran Serua Indah Village which amounts to 325 respondents, with a sample number of 70 respondents with quota sampling techniques, analysis data using the Chi-Square test. Research Results: Based on research obtained the results of analysis using the Chi-Square test obtained a p value of 0.032 (p value=0,032<0,05) : OR = 2.925. which means that there is a relationship between the level of knowledge about COVID and anxiety levels in the RT 03 RW 09 community in Buaran Serua Indah Village.

Authors

Publication Details

Journal
Jurnal Kesehatan STIKes IMC Bintaro
Published
2025-03-20
DOI
https://doi.org/10.63448/x7zwj018
Primary Topic
Public Health and Nutrition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hubungan Tingkat Pengetahuan Tentang Covid’19 Terhadap Tingkat Kecemasan Pada Masyarakat Rt 03 Rw 09 Di Desa Buaran Serua Indah

Suzanna Fabella Putri, Dewi Anggraini, Royani Royani, Reni Irawati
Jurnal Kesehatan STIKes IMC Bintaro
Public Health and Nutrition
article

Hubungan Tingkat Pengetahuan Tentang Covid’19 Terhadap Tingkat Kecemasan Pada Masyarakat Rt 03 Rw 09 Di Desa Buaran Serua Indah

Suzanna Fabella Putri, Dewi Anggraini, Royani Royani, Reni Irawati
article en

Abstract

ABSTRACT Introduction: Corona virus or called Coronavirus Disease (COVID-19) is a disease caused by a new type of Corona Virus, Sars-Cov-2. The outbreak was first detected in Wuhan, China on December 11, 2019 and was designated as a global COVID-19 pandemic by the Indonesian Health Organization (WHO) on March 11, 2020. Knowledge is the understanding of a given topic. By having a good knowledge, people's anxiety levels decrease and become mild. Research Objective is to find out the relationship of knowledge levels about COVID'19 to anxiety levels in the RT 03 RW 09 community in Buaran Serua Indah Village. The research method used is a quantitative method, that uses a cross-sectional approach. The study's measuring instrument used questionnaires. The population in this study is a community aged 17-55 years on RT 03 RW 09 in Buaran Serua Indah Village which amounts to 325 respondents, with a sample number of 70 respondents with quota sampling techniques, analysis data using the Chi-Square test. Research Results: Based on research obtained the results of analysis using the Chi-Square test obtained a p value of 0.032 (p value=0,032<0,05) : OR = 2.925. which means that there is a relationship between the level of knowledge about COVID and anxiety levels in the RT 03 RW 09 community in Buaran Serua Indah Village.

Jurnal Kesehatan STIKes IMC BintaroVol. 6(1)
Openalex Percentile: Top 93%
Public Health and Nutrition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.