Prosiding

Between 2020 and 2021, Indonesia and Malaysia were both impacted by the COVID-19 pandemic. These two nations adopted a strikingly similar approach to restrict access to certain areas, primarily relying on identical criteria. In the case of Indonesia, the PPKM (Community Activity Restriction Enforcement) strategy was employed, this contained a component involving the exposure of COVID-19 affected persons. The determination of the extent of this exposure was primarily based on monitoring the rise in the number of individuals who had been in contact with COVID-19-positive individuals. However, during a pandemic, it's imperative to consider not only those individuals who are confirmed to have COVID-19 but also those who exhibit symptoms similar to COVID-19 but have not been diagnosed. These individuals can also act as potential agents for the spread of the pandemic within their communities. This is referred to as the "Precaution COVID-19 Pandemic (PCP) Level." It's important to note that the PCP level does not have a universally agreed-upon definition at present. Instead, it is influenced more by the number of individuals displaying symptoms akin to those of COVID-19, rather than solely relying on the increase in confirmed COVID-19 cases. In essence, both countries shared a comparable approach to pandemic management during this period, but the emergence of the PCP level underscores the need for a broader perspective when assessing the pandemic's impact on communities, considering not only confirmed cases but also symptomatic individuals who may contribute to its spread. The PCP Level determination can be used for preventative policy and to supplement the previous Pandemic Level Methods. Two methods are employed to realize this concept: the AHP approach for calculating the Covid-19 pandemic level and the K-Mean algorithm for pattern clustering. Data was gathered from 11 health centers in West Java province. The findings of this study underscore the potential of a multifaceted approach to pandemic precaution in the context of COVID-19. By synergistically integrating the three proposed algorithms and leveraging data on symptoms that are intricately linked to the predominant COVID-19 symptoms, this research illuminates a promising avenue for determining and implementing precautionary measures during the ongoing pandemic. This holistic strategy not only offers a more comprehensive understanding of the virus's spread but also furnishes decision-makers with a versatile toolkit for tailoring precautionary actions to different circumstances, ultimately contributing to more effective and adaptive pandemic management.

Nama Prosiding

IEEE Xplore2023 International Conference on Informatics Engineering, Science & Technology (INCITEST)
Volume 6 Nomor 1

URL

https://ieeexplore.ieee.org/document/10397031/

DOI

https://doi.org/10.1109/INCITEST59455.2023.10397031

Modeling Covid-19 Prevention From Influenza Symptoms Using Kalman Filter Approach

Author

Assoc. Prof. Dr. Rahma Wahdiniwaty, Dra.,M.Si.

Abstrak

Several countries have stopped community restriction program activities in dealing with COVID-19, including in Indonesia which has stopped a similar program at the end of 2022. Each country is starting a new era, namely the COVID-19 prevention program, but not all countries have accurate data regarding the type symptoms that could be indicators of prevention. This inaccuracy will be overcome using the behavior of the Kalman Filter while the presumption that influenza symptoms can be use to approach the COVID-19 symptoms. Various Kalman Filter models will be tried which represent the level of concern for prevention, which we call the COVID-19 Pandemic Precaution Level (PCP). The data for this study were obtained from a number of symptoms encountered that resemble the symptoms of COVID-19 after 2022. And provide the results of several Kalman Filter models for normal worries and extreme worries.

Nama Prosiding

2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS)
Volume 9 Nomor 1

URL

https://ieeexplore.ieee.org/document/10402787

DOI

https://doi.org/10.1109/ICSPIS59665.2023.10402787

Improving The Quality Of Information System Management In Msmes Using The Cobit 5 Framework: Preliminary Research

Author

Dr. Yeffry Handoko Putra, S.T, M.T

Abstrak

This research aims to create a preliminary research model for information system governance for Micro, Small, and Medium Enterprises (MSMEs), related to how MSMEs that are already superior and MSMEs that are still in the developed cluster make decisions. This research uses the COBIT 5 framework to determine the variables and research stages. The unit of analysis that will be used as the research sample is MSMEs in the Bandung Regency area. The process of photographing the quality of governance for each target, namely Fostered MSMEs and Superior MSMEs, is carried out using the Process Assessment Model (PAM) from COBIT 5. Which is a maturity testing stage based on COBIT 5 principles. This PAM is carried out in stages for each decision-making process carried out by MSMEs. Apart from collecting initial data in the form of interviews and questionnaires with the Integrated Business Services Center for the Bandung Regency Micro, Small and Medium Enterprises Group or they call it PLUT KUMKM and MSMEs in the Bandung Regency Area, this initial research was also carried out by comparing several methods used by previous research related to the topic study. The results of this initial research illustrate that the data processing process for MSMEs in Bandung Regency has been carried out using computer/laptop devices, but for some MSMEs, the data obtained needs to be managed more properly, so that any data produced can become quality data for compiling a superior MSME model. Meanwhile, other MSMEs in Bandung Regency have managed data well, evaluated data and information regularly, and made decisions based on their data. So these two conditions are used as models for how MSMEs that are still being developed and MSMEs that are already superior make decisions based on data. So it is hoped that the results of this research can become best practice for MSMEs to achieve superior quality regarding Decision Support Systems for their businesses.

Nama Prosiding

9th International Conference on Signal Processing and Intelligent Systems (ICSPIS)
Volume 9 Nomor 1

URL

https://ieeexplore.ieee.org/document/10402753

DOI

https://doi.org/10.1109/ICSPIS59665.2023.10402753

Modeling Covid-19 Prevention From Influenza Symptoms Using Kalman Filter Approach

Author

Dr. Yeffry Handoko Putra, S.T, M.T Assoc. Prof. Dr. Rahma Wahdiniwaty, Dra.,M.Si.

Abstrak

Several countries have stopped community restriction program activities in dealing with COVID-19, including in Indonesia which has stopped a similar program at the end of 2022. Each country is starting a new era, namely the COVID-19 prevention program, but not all countries have accurate data regarding the type symptoms that could be indicators of prevention. This inaccuracy will be overcome using the behavior of the Kalman Filter while the presumption that influenza symptoms can be use to approach the COVID-19 symptoms. Various Kalman Filter models will be tried which represent the level of concern for prevention, which we call the COVID-19 Pandemic Precaution Level (PCP). The data for this study were obtained from a number of symptoms encountered that resemble the symptoms of COVID-19 after 2022. And provide the results of several Kalman Filter models for normal worries and extreme worries.

Nama Prosiding

9th International Conference on Signal Processing and Intelligent Systems (ICSPIS)
Volume 9 Nomor 1

URL

https://ieeexplore.ieee.org/document/10402787

DOI

https://doi.org/10.1109/ICSPIS59665.2023.10402787

Elevating Pcp Level Implementation: A Strategic Approach With Architecture Software In The Covid-19 Era

Author

Dr. Yeffry Handoko Putra, S.T, M.T Assoc. Prof. Dr. Rahma Wahdiniwaty, Dra.,M.Si.

Abstrak

Between 2020 and 2021, Indonesia and Malaysia were both impacted by the COVID-19 pandemic. These two nations adopted a strikingly similar approach to restrict access to certain areas, primarily relying on identical criteria. In the case of Indonesia, the PPKM (Community Activity Restriction Enforcement) strategy was employed, this contained a component involving the exposure of COVID-19 affected persons. The determination of the extent of this exposure was primarily based on monitoring the rise in the number of individuals who had been in contact with COVID-19-positive individuals. However, during a pandemic, it's imperative to consider not only those individuals who are confirmed to have COVID-19 but also those who exhibit symptoms similar to COVID-19 but have not been diagnosed. These individuals can also act as potential agents for the spread of the pandemic within their communities. This is referred to as the "Precaution COVID-19 Pandemic (PCP) Level." It's important to note that the PCP level does not have a universally agreed-upon definition at present. Instead, it is influenced more by the number of individuals displaying symptoms akin to those of COVID-19, rather than solely relying on the increase in confirmed COVID-19 cases. In essence, both countries shared a comparable approach to pandemic management during this period, but the emergence of the PCP level underscores the need for a broader perspective when assessing the pandemic's impact on communities, considering not only confirmed cases but also symptomatic individuals who may contribute to its spread. The PCP Level determination can be used for preventative policy and to supplement the previous Pandemic Level Methods. Two methods are employed to realize this concept: the AHP approach for calculating the Covid-19 pandemic level and the K-Mean algorithm for pattern clustering. Data was gathered from 11 health centers in West Java province. The findings of this study underscore the potential of a multifaceted approach to pandemic precaution in the context of COVID-19. By synergistically integrating the three proposed algorithms and leveraging data on symptoms that are intricately linked to the predominant COVID-19 symptoms, this research illuminates a promising avenue for determining and implementing precautionary measures during the ongoing pandemic. This holistic strategy not only offers a more comprehensive understanding of the virus's spread but also furnishes decision-makers with a versatile toolkit for tailoring precautionary actions to different circumstances, ultimately contributing to more effective and adaptive pandemic management.

Nama Prosiding

6th International Conference on Informatics Engineering, Science & Technology (INCITEST)
Volume 6 Nomor 1

URL

https://ieeexplore.ieee.org/document/10397031/

DOI

https://doi.org/10.1109/INCITEST59455.2023.10397031

Analysis And Monitoring System Of Train Generator Sets Based On Internet Of Things (Iot)

Author

Iyan Andriana, S.T., M.T.

Abstrak

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Nama Prosiding

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Volume 0 Nomor -

URL

https://doi.org/10.1109/INCITEST59455.2023.10396896

DOI

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Data Prosiding - Tahun 2024

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