scholarly journals Implementasi Interpolasi Newton Gregory pada Model Matematika Penyebaran Virus Corona di Indonesia

2020 ◽  
Vol 3 (1) ◽  
pp. 01-16
Author(s):  
Rahmawati Aulia ◽  
Ririn Atika Sazlin ◽  
Liana Ismayani ◽  
Maman Sukiman ◽  
Habib Ratu Perwira Negara ◽  
...  

The purpose of this study is to analyze the development of pandemics in all regions of Indonesia. the method used is the Newthon Rapshon interpolation method, to determine the percentage of the development of the corona virus spread in Indonesia and the method using a qualitative method by analyzing and describing data that has been simulated. The results obtained are predictions of covid-19 cases that occur in May, June, July until August, ie in those months there will be an increase in all cases that occur about this pandemic namely positive patients, recovered and died will continue to increase with a positive final conclusion> cured = died and obtained pn (x) = 2 for patients cured, pn(x) = 0 for cured and dead patients, in this study found pn(x) = 0 because the vaccine for this pandemic has not been found so the possibility of recovery and death has not been obtained its MAPE value, but an increase in cases of recovery is predicted to continue to occur as well as cases of death.

2021 ◽  
Vol 4 (1) ◽  
pp. 1-8
Author(s):  
Neneng Siti Maryam

Abstract - Early March 2020, the corona virus began to spread in Indonesia. To suppress the wider spread of the virus, the government made policies regarding social restrictions. This has resulted in many schools and colleges, offices and companies, and other public places, deciding whether employees or their students should work or study from home. This study aims to examine the effectiveness of online learning during the Corona virus pandemic in Bandung Kridatama Polytechnic students. The research method used is descriptive qualitative method, and data collection techniques are carried out through observation, interviews and documentation. While the analysis of data acquisition was carried out by collecting data, reducing data, and drawing conclusions. The results of the study revealed that online learning carried out during the Corona virus pandemic was ineffective because obstacles were still found that interfered with the learning process, including the absence of two-way communication between students and lecturers, Besides other obstacles, namely students who do not have enough quotas to take part in online learning, or lecturers who do not understand technology so that learning is not carried out using online learning applications but through Whatsapp groups. Keywords: learning, online learning, pandemic, Corona virus Abstrak – Awal bulan Maret tahun 2020, virus corona mulai menyebar di Indonesia. Untuk menekan penyebaran virus yang lebih luas lagi, pemerintah membuat kebijakan mengenai pembatasan sosial.  Hal tersebut mengakibatkan banyak sekolah dan kampus, kantor dan perusahaan,  serta tempat-tempat publik lainnya, memutuskan  para karyawan atau anak didiknya untuk bekerja atau belajar dari rumah. Penelitian ini bertujuan untuk mengkaji efektivitas pembelajaran online di masa pandemi virus Corona pada mahasiswa Politeknik Kridatama Bandung. Metode penelitian yang digunakan adalah metode deskriptif kualitatif, dan teknik pengumpulan data dilakukan melalui observasi, wawancara dan dokumentasi. Sedangkan analisis perolehan data dilakukan dengan pengumpulan data, reduksi data, dan penarikan kesimpulan. Hasil dari penelitian mengungkapkan bahwa pembelajaran online yang dilaksanakan selama masa pandemi virus Corona kurang efektif karena masih ditemukan hambatan yang mengganggu proses pembelajaran diantara-Nya tidak terjalinnya komunikasi dua arah antara mahasiswa dan dosen, disamping hambatan-hambatan lainnya yaitu mahasiswa yang tidak memiliki cukup kuota untuk mengikuti pembelajaran online, atau dosen yang kurang memahami teknologi sehingga pembelajaran tidak dilakukan dengan menggunakan aplikasi pembelajaran online tetapi melalui grup Whatsapp. Kata Kunci: pembelajaran, pembelajaran online, pandemik, virus Corona


2021 ◽  
Vol 3 (2) ◽  
pp. 252-265
Author(s):  
Kivah Aha Putra ◽  
Ratna Nulinnaja ◽  
Misbahul Munir

Apart from Coronavirus Disease 2019, Indonesia is now also affected by the mutation of the corona virus B.1.1.7. This means that Indonesia will still struggle to overcome this condition so that it can be stable in all fields. Education, one of which is at the tertiary level, must continue to run stably. To strengthen learning is carried out remotely by utilizing platforms, one of which is using Google Classroom and Google Meet in learning Islamic Cultural History (SPI) to prevent transmission of the Covid 19 virus. This study uses a qualitative method. Through a survey via Google Form which is distributed to students majoring in Physics who are active in the 2020/2021 teaching. The result is that 90.1% of students are motivated to attend lectures because they do not require a lot of quotas, and the features used on the platform are very easy to operate and very attractive.


2020 ◽  
Author(s):  
Hemanta K. Baruah

AbstractIn Europe the Corona Virus spread had started to retard months ago, but after some time it has started to accelerate again. In this article, we are going to analyze the current COVID-19 spread patterns in Italy, the UK, Germany, Russia, Spain and France. We have found that the current spread has perhaps been underestimated as just the second wave. As per our analysis, as on 7 October the resurgence is much more vigorous than the first wave of spread of the disease. It is going to be most serious in Russia, followed by Italy, Germany and the UK, while in Spain and France the patterns are yet to take inferable shapes.


2020 ◽  
Vol 9 (2) ◽  
pp. 87-98
Author(s):  
Carles Sitompul ◽  
Paulina Kus Ariningsih ◽  
Fran Setiawan

Recent developments on the worldwide spread of Corona Virus Diseases-19 (COVID-19) show the vulnerability of human beings to pandemic risks in terms of biological, social, and economic factors. While human lives are the most important factor, a proposed solution dealing with pandemics should be sustainable which also includes other factors. Quarantines and physical distancing have been seen as effective ways to slow down the spread of COVID-19.  We therefore propose a market scheduling model with multi-objectives to support physical distancing minimizing the number of people in a certain area in a given time (crowds) and minimizing the virus spread rates. An analytical model is proposed and solved for Bandung City. The results show some promising ideas on how to slow down the virus spread without compromising both health and economic objectives. The future potential research of the model is also presented.


2011 ◽  
Vol 403-408 ◽  
pp. 2378-2382
Author(s):  
Dong Li Chen ◽  
Lei Huang

The Vegetation Characteristics Model is based on the principle of DTM. The property values is the data of forest coverage of every small spot of forestry, By spatial interpolation, we can access continuous, accurate characteristic values of the data model which covers the entire forest farm forestry. This article describes three interpolation methods in detail. They are used to build Vegetation Characteristics Model, are compared each other. we can get the final conclusion: Inverse distance weighting method produces samples of the surface does not exceed the maximum and minimum data; if less sample points, using the Kriging interpolation method, we need to add some sample points in those changing areas; Spline, the main problem is when the area is lack of data, then there will be “steep slopes”, it is often referred to as "overshoot" ,this model does not work effectively. The Vegetation Characteristics Model can simulate the surface of the real situation in the forest region. This model can support spatial data for Forestry production, management and spatial analysis.


2021 ◽  
Vol 8 (2) ◽  
pp. 106-110
Author(s):  
Muhammad Safii ◽  
Husain Husain ◽  
Mochamad Wahyudi ◽  
Muhammad Zarlis

The spread of Corona Virus or Covid 19 is very fast and has become a pandemic for all countries in this world. In a very dynamic and complex development process consisting of many interrelated and diverse components, each of which has different goals. Regarding the dynamic and complex challenges in the field of developing corona virus spread, the ability to identify is needed to reduce the circulation of the virus. For this reason, it is necessary to look further into the factors that influence and inhibit the spread of the virus and what strategies are needed and analyze the dynamically dynamic causes of these factors using the method of approach that uses the Cause Circle Diagram (CLD) system. ). The purpose of this research is to get the right solution in making decisions to handle the spread of corona virus through a system approach with a Causal Loop Diagram (CLD) model.


Author(s):  
Prashant Gawande

Covid-19 Spread Analysis is a stand-alone application developed in python which will help us to analyse the covid-19 cases all over the world. In this python project, we will implement a live dashboard for COVID 19 spread analysis. This dashboard will provide much insightful visualization for the study of corona virus spread. It will consist of a world map on which circles of the top 15 regions having the largest corona cases of will be displayed. There will be a table in the left panel showing the total active cases till date in the respective region. In the right panel, there will be a world map which will represent the impact of the virus using a red circle. More the number of cases in the region on the map, the bigger are the red circle in that region. Also, the user can see a detailed graph of state wise covid-19 cases of our country. This graph will show the active, confirmed, recovered and death cases. User can see all this information date wise as well as month wise. The graph will be updated every day so that user can clearly analyse the covid-19 spread. The project aims to understand various useful features of this tool and to present different concepts of data science applied within the application along with its importance in managing the ongoing pandemic. . It gives the readers an insight in to covid-19 spread is happening with the help of the entire data.


2020 ◽  
Vol 4 (2) ◽  
pp. 81-88
Author(s):  
Sukardi Sukardi

This speech act study takes Jokowi’s policy on Covid-19 as object of study. This study’s objective is to find out specch act that exists in the policy and how its role in creating an effective communication. The qualitative method is used by recording, listening and reading every utterances or sentences produced by Jokowi. This study found illocutions; assertives, directives, commisives and expressives. Those specch acts consist of direct literal specch act and non literal speech acts. In this research is also found in utturances on the policy intrumental function. Those  are delivering information to people, changing people’s attitude and belief, changing people’s behaviour, stimulating and motivating the people to do an act.Kajian tindak tutur ini menjadikan kebijakan Jokowi terhadap pandemi Covid-19 sebagai objek kajian. Tujuan kajian ini untuk mengetahui tindak tutur yang terdapat dalam kebijakan tersebut dan bagaimana perannya dalam membetuk suatu komunikasi yang efektif. Metode yang digunakan adalah metode kualitatif dengan mencatat, menyimak dan menelaah setiap ujaran atau kalimat yang diproduksi oleh penutur (Jokowi). Kajian ini menemukan tindak tutur ilokusi asertif, direktif, komisif, dan ekspresif. Tindak tutur tersebut terdiri dari dua bentuk yaitu tindak tutur langsung literal dan tindak tutur tidak langsung literal. Pada kajian ini juga ditemukan dalam ujaran-ujaran pada kebijakan tersebut fungsi komunikasi instrumental. Yaitu memberikan informasi kepada masyarakat, mengubah sikap dan keyakinan masyarakat, mengubah prilaku masyarakat, mendorong dan menggerakkan masyarakat untuk melakukan suatu tindakan.


2021 ◽  
Vol 10 ◽  
Author(s):  
Arizkylia Yoka Putri ◽  
Muhlasin Amrullah

This Study aims to provide an overview of the trategies implemented by SD Muhammadiyah 1 Candi in the learning process during the Covid 19 pandemic. The method used in this research is descriptive qualitative method. The data collection techniques in this study were trough interviewes, documentation and observation. During the covid 19 pandemic, SD Muhammadiyah 1 Candi implemented an online learning policy, in accordane with the instructions issued by the minister of education and culture Nadiem Makarim through Circular Number 4 of 2020 concerning Implementation of Educational Policies in the emergency period of the spread of the Corona virus. Online learning is carried out in order to reduce the spread of covid-19. During the implementation of online learning, SD Muhammadiyah 1 Candi experienced several obstacles at the beginning of its implementation, namely the lack of parental education in using learning tools such as zoom meetings. From these obstacles, SD Muhammadiyah 1 Candi Provided solutions in the from of home visits and direct classes. Home visits are intended to provide more understanding to students. Direct class is a solution for students who do not have cellphones. However, during the application of online learning students are very enthusiastic in their teaching and learing activities.


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