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All Journal Kesmas: Jurnal Kesehatan Masyarakat Nasional
Dewi Susanna
Department of Environmental Health, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia
Public Health

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Public Perception and Obedience with Social Distancing Policies during the COVID-19 Pandemic in Jakarta, Indonesia Widyamurti Widyamurti; Edwina Bernita Sitorus; Dewi Susanna; Bambang Wispriyono; Aria Kusuma; Renti Mahkota
Jurnal Kesehatan Masyarakat Nasional Vol 17, No 1 (2022): Volume 17, Issue 1, February 2022
Publisher : Faculty of Public Health Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (120.607 KB) | DOI: 10.21109/kesmas.v17i1.5430

Abstract

The Indonesian Government established a social distancing policy to prevent COVID-19 transmission. However, this implementation will be ineffective without the compliance of the people. This study aimed to analyze the relationship between public perception and obedience with social distancing in terms of the variables based on the Health Belief Model. This study used a cross-sectional design with a population of Daerah Khusus Ibukota (DKI) Jakarta’s indigenes within the productive age of 15-64 years. The sample comprised 408 participants, with the independent variables of sociodemographics (age, gender, occupation, and education) and health beliefs (perceived susceptibility, severity, benefits, barriers, and self-efficacy). Meanwhile, obedience to social distancing was the dependent variable. Data were obtained through an online questionnaire and evaluated with the bivariate and multivariate analysis using Chi-square and logistic regression tests. Gender (OR = 2.327; 95% CI = 1.404-3.857) and perceived self-efficacy (OR = 2.609; 95% CI = 1.726-3.945) were significantly related to social distancing obedience. Meanwhile, no statistical correlation (p-value>0.05) was found with sociodemographics, perceived susceptibility, severity, benefits, and barriers. The males with low self-efficacy were more likely to disobey the social distancing policies. The individual’s self-efficacy perception increased with their level of obedience to social distancing policies.
Review of Different Methods of Abnormal Mass Detection in Digital Mammograms Sangita Bhattacharjee; Sandeep Poddar; Amiya Bhaumik; Indra Kanta Maitra; Dewi Susanna; Andrew Ware
Jurnal Kesehatan Masyarakat Nasional Volume 17, Special Issue No 1, 2022
Publisher : Faculty of Public Health Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (15.828 KB) | DOI: 10.21109/kesmas.v17isp1.5970

Abstract

Various images from massive image databases extract inherent, implanted information or different examples explicitly found in the images. These images may help the community in initial self-screening breast cancer, and primary health care can introduce this method to the community. This study aimed to review the different methods of abnormal mass detection in digital mammograms. One of best methods for the detection of breast malignancy and discovery at a nascent stage is digital mammography. Some of the mammograms with excellent images have a high intensity of resolution that enables preparing images with high computations. The fact that medical images are so common on computers is one of the main things that helps radiologists make diagnoses. Image preprocessing highlights the portion after extraction and arrangement in computerized mammograms. Moreover, the future scope of examination for paving could be the way for a top invention in computer-aided diagnosis (CAD) for mammograms in the coming years. This also distinguished CAD that helped identify strategies for mass widely covered in the study work. However, the identification methods for structural deviation in mammograms are complicated in real-life scenarios. These methods will benefit the public health program if they can be introduced to primary health care's public health screening system. The decision should be made as to which type of technology fits the level of the primary health care system.
Co-Authors Amiya Bhaumik Andrew Ware Aria Kusuma Bambang Wispriyono Edwina Bernita Sitorus Indra Kanta Maitra Renti Mahkota Sandeep Poddar Sangita Bhattacharjee Widyamurti Widyamurti