Developed an expert system for analysis of Covid-19 affected

Mishra, Shashank; Yadav, Shivam; Aggarwal, Mukul; Sharma, Yashika; Muzayanah, Rini

doi:10.52465/joscex.v4i1.113

Cited by 4 publications

(5 citation statements)

References 18 publications

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“…In the context of the Covid-19 pandemic, there has been a notable proliferation of digital technology [1], [2], in the global health domain. In response to the increasing incidence of Covid-19 infections, nations across the globe are enacting diverse strategies aimed at curtailing the transmission of the virus and mitigating its potential exacserbation.…”

Section: Introductionmentioning

confidence: 99%

Examination of the Factors Impacting the Interest of Residents in Semarang City in Mobile Health Applications: An UTAUT Analysis

Perdana,

Abidin

2024

SJI

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Purpose: The study aims is to examine the determinants that impact the level of public interest in utilizing mobile health (m-health) applications in Semarang City, Indonesia. Our specific objective is to identify the critical factors that facilitate or impede the public's adoption of these applications.Methods: This study objective was pursued using a comprehensive approach. A study model was developed utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) as its foundation. This model encompasses essential variables including performance expectancy, effort expectancy, social influence, facilitating conditions, price value, and perceived trust. The process of data collecting was carried out by means of a survey that was disseminated across widely used social media channels. The study was conducted using a sample size of 257 participants who are residents of Semarang City. The data that was collected underwent a thorough analysis utilizing the Partial Least Squares - Structural Equation Model (PLS-SEM) approach.Results: The research conducted in our study resulted in several significant findings. The study revealed that several factors, namely performance expectancy, social influence, price value, and perceived trust, had a notable and beneficial impact on users' inclination towards using m-health applications. On the other hand, the variables of effort expectancy and facilitating conditions did not exhibit a statistically significant influence on the level of public interest in these applications. Furthermore, a substantial correlation was found between the behavioral intention and the actual usage behavior of inhabitants of Semarang City in their adoption of m-health applications.Novelty: The research presented in this study is distinguished by its comprehensive analysis of the various factors that impact the adoption of mobile health (m-health) applications in Semarang City. Through the incorporation and expansion of variables such as price value and perceived trust, our study provides a comprehensive and nuanced comprehension of this particular occurrence by adapting and extending the UTAUT model. Our work emphasizes the importance of performance expectancy and social influence, while also suggesting the need for additional investigation into the roles of effort expectancy and facilitating conditions. Additionally, our study offers valuable information regarding the influence of age and gender as moderators in these associations. The results of this study have significant practical implications for healthcare professionals and policymakers who are interested in promoting the use of mobile health (m-health) technologies among the public. Additionally, these findings can serve as a valuable guide for future research endeavors in this particular area of study.

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Section: Introductionmentioning

confidence: 99%

Examination of the Factors Impacting the Interest of Residents in Semarang City in Mobile Health Applications: An UTAUT Analysis

Perdana,

Abidin

2024

SJI

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“…The government even closed tourist attractions, shopping centers, and entertainment venues empty of visitors. Even work, and study was done online at home [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Mask Detection System with Computer Vision-Based on CNN and YOLO Method Using Nvidia Jetson Nano

Hakim,

Juanara,

Rispandi

2023

J. Inf. Syst. Explor. Res.

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Health is an essential aspect of life. The World Health Organization (WHO) has officially declared the Corona Virus (Covid-19) a global pandemic that has spread to Indonesia. For preventive measures against Covid-19, the Indonesian government is trying to deal with the Covid-19 pandemic with 3M health protocol aimed at community activities, such as Memakai Masker (wearing masks), Mencuci Tangan (washing hands), and Menjaga Jarak (maintaining distance). In this study, software and hardware design was carried out to detect mask users and immediately warn violators who do not use masks automatically and can function automatically offline by utilizing digital image processing using NVIDIA Jetson Nano using the YOLO (You Only Look Once) method. The CNN YOLOv4-tiny model is chosen to obtain measurement results for mask user detection accuracy because it has a relatively minor computational value and is faster. The best camera detection angle is obtained at a vulnerable angle of 45O-90O or in the range of 90O-135O with value confidence that the average is 99.94% and the best accuracy is at a lux value greater than 70, and a minimum camera height of 1 meter and a maximum of 3 meters. Under conditions of lux 96 (bright), the maximum distance for detecting a face object is 12 meters, and the ability of the system to output a warning sound has been successfully integrated with a relay to run the mp3 module separately from the system, so as not to interfere with the Jetson Nano computation process and the model is successfully run on the Jetson Nano with an average computation of 13 frames per second.

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“…Its surface, which is covered in spikes that resemble crowns, is referred to as the corona. The Covid-19 pandemic has reached all regions of the world [5], [6]. Coronavirus or severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) is a virus that attacks the respiratory system.…”

Section: Introductionmentioning

confidence: 99%

“…The patient should be given oxygen and a nasal catheter immediately. The patient should have either minimally invasive or invasive mechanical ventilation in an emergency [5].…”

Section: Introductionmentioning

confidence: 99%

Implementation of ArcGIS story maps as a media information and counseling of COVID-19 in palu city

Suni,

Muis

2023

J. Soft Comput. Explor.

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The COVID-19 pandemic continues to increase, transmission, spread, and death rates are increasing, resulting in the implementation of large-scale social restrictions on community activities in Indonesia. This high rate of transmission can be caused by poor public behavior towards prevention programs that have been announced by the Government. In order to increase public knowledge in prevention and communication and minimize the spread of COVID-19, socialization and outreach media are needed that can encourage more effective delivery and dissemination of information. Technological developments encourage the delivery of information to become more interactive. One use of technology is delivering information with spatial integration through ArcGIS Story Maps. Story Maps can be handy for spreading knowledge on several topics, focusing on where the story occurs. In this paper, we explore the opportunities offered by Story Maps to implement Story Maps as an outreach media and a solution for socializing and disseminating information during the pandemic. Specifically, we refer to a series of different applications offered by Esri for building Story Maps based on different approaches and techniques. The results of using Story Maps are in the form of presenting information, information media, and counseling in the form of an interactive map which contains a general description of COVID-19, case conditions, level of spread, and how to handle it and related regulations through the Story Maps feature. This story map involves geospatial elements, web GIS, text, images, and video so that it can be an alternative solution for related parties in socializing and disseminating information during the pandemic

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Developed an expert system for analysis of Covid-19 affected

Cited by 4 publications

References 18 publications

Examination of the Factors Impacting the Interest of Residents in Semarang City in Mobile Health Applications: An UTAUT Analysis

Examination of the Factors Impacting the Interest of Residents in Semarang City in Mobile Health Applications: An UTAUT Analysis

Mask Detection System with Computer Vision-Based on CNN and YOLO Method Using Nvidia Jetson Nano

Implementation of ArcGIS story maps as a media information and counseling of COVID-19 in palu city

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